veusz-1.21.1/0000775000175000017500000000000012376130063011133 5ustar jssjssveusz-1.21.1/Documents/0000775000175000017500000000000012376130063013074 5ustar jssjssveusz-1.21.1/Documents/manual.txt0000644000175000017500000024376512275421421015130 0ustar jssjssVeusz - a scientific plotting package Jeremy Sanders Copyright 2014 This document is licensed under the GNU General Public License, version 2 or greater. Please see the file COPYING for details, or see http://www.gnu.org/ licenses/gpl-2.0.html. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Table of Contents 1. Introduction Veusz Terminology Widget Settings: properties and formatting Text Measurements Axis numeric scales Installation The main window My first plot 2. Reading data Standard text import Data types in text import Descriptors CSV files HDF5 files Error bars Slices 2D data ranges Dates 2D text or CSV format FITS files Reading other data formats Manipulating datasets Using dataset plugins Using expressions to create new datasets Linking datasets to expressions Splitting data Defining new constants or functions Dataset plugins Capturing data 3. Command line interface Introduction Commands Action Add AddCustom AddImportPath CloneWidget Close CreateHistogram DatasetPlugin EnableToolbar Export ForceUpdate Get GetChildren GetClick GetData GetDataType GetDatasets GPL ImportFile ImportFile2D ImportFileCSV ImportFileHDF5 ImportFilePlugin ImportFITSFile ImportString ImportString2D IsClosed List Load MoveToPage ReloadData Rename Remove ResizeWindow Save Set SetAntiAliasing SetData SetDataExpression SetDataRange SetData2D SetData2DExpression SetData2DExpressionXYZ SetData2DXYFunc SetDataDateTime SetDataText SetToReference SetUpdateInterval SetVerbose StartSecondView TagDatasets To Quit WaitForClose Zoom Security 4. Using Veusz from other programs Non-Qt Python programs Older path-based interface New-style object interface Translating old to new style PyQt4 programs Non Python programs C, C++ and Fortran Chapter 1. Introduction Table of Contents Veusz Terminology Widget Settings: properties and formatting Text Measurements Axis numeric scales Installation The main window My first plot Veusz Veusz is a scientific plotting package. It was designed to be easy to use, easily extensible, but powerful. The program features a graphical user interface, which works under Unix/Linux, Windows or Mac OS X. It can also be easily scripted (the saved file formats are similar to Python scripts) or used as module inside Python. Veusz reads data from a number of different types of data file, it can be manually entered, or constructed from other datasets. In Veusz the document is built in an object-oriented fashion, where a document is built up by a number of widgets in a hierarchy. For example, multiple function or xy widgets can be placed inside a graph widget, and many graphs can be placed in a grid widget. The technologies behind Veusz include PyQt (a very easy to use Python interface to Qt, which is used for rendering and the graphical user interface, GUI) and numpy (a package for Python which makes the handling of large datasets easy). Veusz can be extended by the user easily by adding plugins. Support for different data file types can be added with import plugins. Dataset plugins automate the manipulation of datasets. Tools plugins automate the manipulation of the document. Terminology Here we define some terminology for future use. Widget A document and its graphs are built up from widgets. These widgets can often by placed within each other, depending on the type of the widget. A widget has children (those widgets placed within it) and its parent. The widgets have a number of different settings which modify their behaviour. These settings are divided into properties, which affect what is plotted and how it is plotted. These would include the dataset being plotted or whether an axis is logarithmic. There are also formatting settings, including the font to be used and the line thickness. In addition they have actions, which perform some sort of activity on the widget or its children, like "fit" for a fit widget. As an aside, using the scripting interface, widgets are specified with a "path", like a file in Unix or Windows. These can be relative to the current widget (do not start with a slash), or absolute (do not start with a slash). Examples of paths include, "/page1/graph1/x", "x" and ".". The widget types include 1. document - representing a complete document. A document can contain pages. In addition it contains a setting giving the page size for the document. 2. page - representing a page in a document. One or more graphs can be placed on a page, or a grid. 3. graph - defining an actual graph. A graph can be placed on a page or within a grid. Contained within the graph are its axes and plotters. A graph can be given a background fill and a border if required. It also has a margin, which specifies how far away from the edge of its parent widget to plot the body of the graph. A graph can contain several axes, at any position on the plot. In addition a graph can use axes defined in parent widgets, shared with other graphs. More than one graph can be placed within in a page. The margins can be adjusted so that they lie within or besides each other. 4. grid - containing one or more graphs. A grid plots graphs in a gridlike fashion. You can specify the number of rows and columns, and the plots are automatically replotted in the chosen arrangement. A grid can contain graphs or axes. If an axis is placed in a grid, it can be shared by the graphs in the grid. 5. axis - giving the scale for plotting data. An axis translates the coordinates of the data to the screen. An axis can be linear or logarithmic, it can have fixed endpoints, or can automatically get them from the plotted data. It also has settings for the axis labels and lines, tick labels, and major and minor tick marks. An axis may be "horizontal" or "vertical" and can appear anywhere on its parent graph or grid. If an axis appears within a grid, then it can be shared by all the graphs which are contained within the grid. The axis-broken widget is an axis sub-type. It is an axis type where there are jumps in the scale of the axis. The axis-function widget allows the user to create an axis where the values are scaled by a monotonic function, allowing non-linear and non-logarithmic axis scales. The widget can also be linked to a different axis via the function. 6. plotters - types of widgets which plot data or add other things on a graph. There is no actual plotter widget which can be added, but several types of plotters listed below. Plotters typically take an axis as a setting, which is the axis used to plot the data on the graph (default x and y). a. function - a plotter which plots a function on the graph. Functions can be functions of x or y (parametric functions are not done yet!), and are defined in Python expression syntax, which is very close to most other languages. For example "3*x**2 + 2*x - 4". A number of functions are available (e.g. sin, cos, tan, exp, log...). Technically, Veusz imports the numpy package when evaluating, so numpy functions are available. As well as the function setting, also settable is the line type to plot the function, and the number of steps to evaluate the function when plotting. Filling is supported above/below/left/right of the function. b. xy - a plotter which plots scatter, line, or stepped plots. This versatile plotter takes an x and y dataset, and plots (optional) points, in a chosen marker and colour, connecting them with (optional) lines, and plotting (optional) error bars. An xy plotter can also plot a stepped line, allowing histograms to be plotted (note that it doesn't yet do the binning of the data). The settings for the xy widget are the various attibutes for the points, line and error bars, the datasets to plot, and the axes to plot on. The xy plotter can plot a label next to each dataset, which is either the same for each point or taken from a text dataset. If you wish to leave gaps in a plot, the input value "nan" can be specified in the numeric dataset. c. fit - fit a function to data. This plotter is a like the function plotter, but allows fitting of the function to data. This is achived by clicking on a "fit" button, or using the "fit" action of the widget. The fitter takes a function to fit containing the unknowns, e.g. "a*x**2 + b*x + c", and initial values for the variables (here a, b and c). It then fits the data (note that at the moment, the fit plotter fits all the data, not just the data that can be seen on the graph) by minimising the chi-squared. In order to fit properly, the y data (or x, if fitting as a function of x) must have a properly defined, preferably symmetric error. If there is none, Veusz assumes the same fractional error everywhere, or symmetrises asymmetric errors. Note that more work is required in this widget, as if a parameter is not well defined by the data, the matrix inversion in the fit will fail. In addition Veusz does not supply estimates for the errors or the final chi-squared in a machine readable way. If the fitting parameters vary significantly from 1, then it is worth "normalizing" them by adding in a factor in the fit equation to bring them to of the order of 1. d. bar - a bar chart which plots sets of data as horizontal or vertical bars. Multiple datasets are supported. In "grouped" mode the bars are placed side-by-side for each dataset. In "stacked" mode the bars are placed on top of each other (in the appropriate direction according to the sign of the dataset). Bars are placed on coordinates given, or in integer values from 1 upward if none are given. Error bars are plotted for each of the datasets. Different fill styles can be given for each dataset given. A separate key value can be given for each dataset. e. key - a box which describes the data plotted. If a key is added to a plot, the key looks for "key" settings of the other data plotted within a graph. If there any it builds up a box containing the symbol and line for the plotter, and the text in the "key" setting of the widget. This allows a key to be very easily added to a plot. The key may be placed in any of the corners of the plot, in the centre, or manually placed. Depending on the ordering of the widgets, the key will be placed behind or on top of the widget. The key can be filled and surrounded by a box, or not filled or surrounded. f. label - a text label places on a graph. The alignment can be adjusted and the font changed. The position of the label can be specified in fractional terms of the current graph, or using axis coordinates. g. rect, ellipse - these draw a rectangle or ellipse, respectively, of size and rotation given. These widgets can be placed directly on the page or on a graph. The centre can be given in axis coordinates or fractional coordinates. h. imagefile - draw an external graphs file on the graph or page, with size and rotation given. The centre can be given in axis coordinates or fractional coordinates. i. line - draw a line with optional arrowheads on the graph or page. One end can be given in axis coordinates or fractional coordinates. j. contour - plot contours of a 2D dataset on the graph. Contours are automatically calculated between the minimum and maximum values of the graph or chosen manually. The line style of the contours can be chosen individually and the region between contours can be filled with shading or color. 2D datasets currently consist of a regular grid of values between minimum and maximum positions in x and y. They can be constructed from three 1D datasets of x, y and z if they form a regular x, y grid. k. image - plot a 2D dataset as a colored image. Different color schemes can be chosen. The scaling between the values and the image can be specified as linear, logarithmic, square-root or square. l. polygon - plot x and y points from datasets as a polygon. The polygon can be placed directly on the page or within a graph. Coordinates are either plotted using the axis or as fractions of the width and height of the containing widget. m. boxplot - plot distribution of points in a dataset. n. polar - plot polar data or functions. This is a non-orthogonal plot and is placed directly on the page rather than in a graph. o. ternary - plot data of three variables which add up to 100 per cent.This is a non-orthogonal plot and is placed directly on the page rather than in a graph. Settings: properties and formatting The various settings of the widgets come in a number of types, including integers (e.g. 10), floats (e.g. 3.14), dataset names ("mydata"), expressions ("x+y"), text ("hi there!"), distances (see above), options ("horizontal" or "vertical" for axes). Veusz performs type checks on these parameters. If they are in the wrong format the control to edit the setting will turn red. In the command line, a TypeError exception is thrown. In the GUI, the current page is replotted if a setting is changed when enter is pressed or the user moves to another setting. The settings are split up into formatting settings, controlling the appearance of the plot, or properties, controlling what is plotted and how it is plotted. Default settings, including the default font and line style, and the default settings for any graph widget, can be modified in the "Default styles" dialog box under the "Edit" menu. Default settings are set on a per-document basis, but can be saved into a separate file and loaded. A default default settings file can be given to use for new documents (set in the preferences dialog). Text Veusz understands a limited set of LaTeX-like formatting for text. There are some differences (for example, "10^23" puts the 2 and 3 into superscript), but it is fairly similar. You should also leave out the dollar signs. Veusz supports superscripts ("^"), subscripts ("_"), brackets for grouping attributes are "{" and "}". Supported LaTeX symbols include: \AA, \Alpha, \Beta, \Chi, \Delta, \Epsilon, \ Eta, \Gamma, \Iota, \Kappa, \Lambda, \Mu, \Nu, \Omega, \Omicron, \Phi, \Pi, \ Psi, \Rho, \Sigma, \Tau, \Theta, \Upsilon, \Xi, \Zeta, \alpha, \approx, \ast, \ asymp, \beta, \bowtie, \bullet, \cap, \chi, \circ, \cup, \dagger, \dashv, \ ddagger, \deg, \delta, \diamond, \divide, \doteq, \downarrow, \epsilon, \equiv, \eta, \gamma, \ge, \gg, \in, \infty, \int, \iota, \kappa, \lambda, \le, \ leftarrow, \lhd, \ll, \models, \mp, \mu, \neq, \ni, \nu, \odot, \omega, \ omicron, \ominus, \oplus, \oslash, \otimes, \parallel, \perp, \phi, \pi, \pm, \ prec, \preceq, \propto, \psi, \rhd, \rho, \rightarrow, \sigma, \sim, \simeq, \ sqrt, \sqsubset, \sqsubseteq, \sqsupset, \sqsupseteq, \star, \stigma, \subset, \subseteq, \succ, \succeq, \supset, \supseteq, \tau, \theta, \times, \umid, \ unlhd, \unrhd, \uparrow, \uplus, \upsilon, \vdash, \vee, \wedge, \xi, \zeta. Please request additional characters if they are required (and exist in the unicode character set). Special symbols can be included directly from a character map. Other LaTeX commands are supported. "\\" breaks a line. This can be used for simple tables. For example "{a\\b} {c\\d}" shows "a c" over "b d". The command "\frac{a}{b}" shows a vertical fraction a/b. Also supported are commands to change font. The command "\font{name}{text}" changes the font text is written in to name. This may be useful if a symbol is missing from the current font, e.g. "\font{symbol}{g}" should produce a gamma. You can increase, decrease, or set the size of the font with "\size{+2}{text}", "\size{-2}{text}", or "\size{20}{text}". Numbers are in points. Various font attributes can be changed: for example, "\italic{some italic text} " (or use "\textit" or "\emph"), "\bold{some bold text}" (or use "\textbf") and "\underline{some underlined text}". Example text could include "Area / \pi (10^{-23} cm^{-2})", or "\pi\bold{g}". Veusz plots these symbols with Qt's unicode support. You can also include special characters directly, by copying and pasting from a character map application. If your current font does not contain these symbols then you may get a box character. Measurements Distances, widths and lengths in Veusz can be specified in a number of different ways. These include absolute distances specified in physical units, e.g. 1cm, 0.05m, 10mm, 5in and 10pt, and relative units, which are relative to the largest dimension of the page, including 5%, 1/20, 0.05. Axis numeric scales The way in which numbers are formatted in axis scales is chosen automatically. For standard numerical axes, values are shown with the "%Vg" formatting (see below). For date axes, an appropriate date formatting is used so that the interval shown is correct. A format can be given for an axis in the axis number formatting panel can be given to explicitly choose a format. Some examples are given in the drop down axis menu. Hold the mouse over the example for detail. C-style number formatting is used with a few Veusz specific extensions. Text can be mixed with format specifiers, which start with a "%" sign. Examples of C-style formatting include: "%.2f" (decimal number with two decimal places, e.g. 2.01), "%.3e" (scientific formatting with three decimal places, e.g. 2.123e-02), "%g" (general formatting, switching between "%f" and "%e" as appropriate). See http://opengroup.org/onlinepubs/007908799/xsh/fprintf.html for details. Veusz extensions include "%Ve", which is like "%e" except it displays scientific notation as written, e.g. 1.2x10^23, rather than 1.2e+23. "%Vg" switches between standard numbers and Veusz scientific notation for large and small numbers. "%VE" using engineering SI suffixes to represent large or small numbers (e.g. 1000 is 1k). Veusz allows dates and times to be formatted using "%VDX" where "X" is one of the formatting characters for strftime (see http://opengroup.org/onlinepubs/ 007908799/xsh/strftime.html for details). These include "a" for an abbreviated weekday name, "A" for full weekday name, "b" for abbreviated month name, "B" for full month name, "c" date and time representaiton, "d" day of month 01..31, "H" hour as 00..23, "I" hour as 01..12, "j" as day of year 001..366, "m" as month 01..12, "M" minute as 00..59, "p" AM/PM, "S" second 00..61, "U" week number of year 00..53 (Sunday as first day of week), "w" weekday as decimal number 0..6, "W" week number of year (Monday as first day of week), "x" date representation, "X" time representation, "y" year without century 00..99 and "Y" year. "%VDVS" is a special Veusz addon format which shows seconds and fractions of seconds (e.g. 12.2). Installation Please look at the Installation notes (INSTALL) for details on installing Veusz. The main window You should see the main window when you run Veusz (you can just type the veusz command in Unix). [mainwindow] The Veusz window is split into several sections. At the top is the menu bar and tool bar. These work in the usual way to other applications. Sometimes options are disabled (greyed out) if they do not make sense to be used. If you hold your mouse over a button for a few seconds, you will usually get an explanation for what it does called a "tool tip". Below the main toolbar is a second toolbar for constructing the graph by adding widgets (on the left), and some editing buttons. The add widget buttons add the request widget to the currently selected widget in the selection window. The widgets are arranged in a tree-like structure. Below these toolbars and to the right is the plot window. This is where the current page of the current document is shown. You can adjust the size of the plot on the screen (the zoom factor) using the "View" menu or the zoom tool bar button (the magnifying glass). Initially you will not see a plot in the plot window, but you will see the Veusz logo. At the moment you cannot do much else with the window. In the future you will be able to click on items in the plot to modify them. To the left of the plot window is the selection window, and the properties and formatting windows. The properties window lets you edit various aspects of the selected widget (such as the minimum and maximum values on an axis). Changing these values should update the plot. The formatting lets you modify the appearance of the selected widget. There are a series of tabs for choosing what aspect to modify. The various windows can be "dragged" from the main window to "float" by themselves on the screen. To the bottom of the window is the console. This window is not shown by default, but can be enabled in the View menu. The console is a Veusz and Python command line console. To read about the commands available see Commands. As this is a Python console, you can enter mathematical expressions (e.g. "1+2.0*cos(pi/4)") here and they will be evaluated when you press Enter. The usual special functions and the operators are supported. You can also assign results to variables (e.g. "a=1+2") for use later. The console also supports command history like many Unix shells. Press the up and down cursor keys to browse through the history. Command line completion is not available yet! There also exists a dataset browsing window, by default to the right of the screen. This window allows you to view the datasets currently loaded, their dimensions and type. Hovering a mouse over the size of the dataset will give you a preview of the data. My first plot After opening Veusz, on the left of the main window, you will see a Document, containing a Page, which contains a Graph with its axes. The Graph is selected in the selection window. The toolbar above adds a new widget to the selected widget. If a widget cannot be added to a selected widget it is disabled. On opening a new document Veusz automatically adds a new Page and Graph (with axes) to the document. You will see something like this: [winwithgra] Select the x axis which has been added to the document (click on "x" in the selection window). In the properties window you will see a variety of different properties you can modify. For instance you can enter a label for the axis by writing "Area (cm^{2})" in the box next to label and pressing enter. Veusz supports text in LaTeX-like form (without the dollar signs). Other important parameters is the "log" switch which switches between linear and logarithmic axes, and "min" and "max" which allow the user to specify the minimum and maximum values on the axes. The formatting dialog lets you edit various aspects of the graph appearance. For instance the "Line" tab allows you to edit the line of the axis. Click on "Line", then you can then modify its colour. Enter "green" instead of "black" and press enter. Try making the axis label bold. Now you can try plotting a function on the graph. If the graph, or its children are selected, you will then be able to click the "function" button at the top (a red curve on a graph). You will see a straight line (y=x) added to the plot. If you select "function1", you will be able to edit the functional form plotted and the style of its line. Change the function to "x**2" (x-squared). We will now try plotting data on the graph. Go to your favourite text editor and save the following data as test.dat: 1 0.1 -0.12 1.1 0.1 2.05 0.12 -0.14 4.08 0.12 2.98 0.08 -0.1 2.9 0.11 4.02 0.04 -0.1 15.3 1.0 The first three columns are the x data to plot plus its asymmetric errors. The final two columns are the y data plus its symmetric errors. In Veusz, go to the "Data" menu and select "Import". Type the filename into the filename box, or use the "Browse..." button to search for the file. You will see a preview of the data pop up in the box below. Enter "x,+,- y,+-" into the descriptors edit box (note that commas and spaces in the descriptor are almost interchangeable in Veusz 1.6 or newer). This describes the format of the data which describes dataset "x" plus its asymmetric errors, and "y" with its symmetric errors. If you now click "Import", you will see it has imported datasets "x" and "y". To plot the data you should now click on "graph1" in the tree window. You are now able to click on the "xy" button (which looks like points plotted on a graph). You will see your data plotted on the graph. Veusz plots datasets "x" and "y" by default, but you can change these in the properties of the "xy" plotter. You are able to choose from a variety of markers to plot. You can remove the plot line by choosing the "Plot Line" subsetting, and clicking on the "hide" option. You can change the colour of the marker by going to the "Marker Fill" subsetting, and entering a new colour (e.g. red), into the colour property. Chapter 2. Reading data Table of Contents Standard text import Data types in text import Descriptors CSV files HDF5 files Error bars Slices 2D data ranges Dates 2D text or CSV format FITS files Reading other data formats Manipulating datasets Using dataset plugins Using expressions to create new datasets Linking datasets to expressions Splitting data Defining new constants or functions Dataset plugins Capturing data Currently Veusz supports reading data from files with text, CSV, HDF5, FITS, 2D text or CSV, QDP, binary and NPY/NPZ formats. Use the Data → Import dialog to read data, or the importing commands in the API can be used. In addition, the user can load or write import plugins in Python which load data into Veusz in an arbitrary format. At the moment QDP, binary and NPY/NPZ files are supported with this method. The HDF5 file format is the most sophisticated, and is recommended for complex datasets. By default, data are "linked" to the file imported from. This means that the data are not stored in the Veusz saved file and are reloaded from the original data file when opening. In addition, the user can use the Data → Reload menu option to reload data from linked files. Unselect the linked option when importing to remove the association with the data file and to store the data in the Veusz saved document. Note that a prefix and suffix can be given when importing. These are added to the front or back of each dataset name imported. They are convenient for grouping data together. [importdial] We list the various types of import below. Standard text import The default text import operates on simple text files. The data are assumed to be in columns separated by whitespace. Each column corresponds to dataset (or its error bars). Each row is an entry in the dataset. The way the data are read is goverened by a simple "descriptor". This can simply be a list of dataset names separated by spaces. If no descriptor is given, the columns are treated as separate datasets and are given names col1, col2, etc. Veusz attempts to automatically determine the type of the data. When reading in data, Veusz treats any whitespace as separating columns. The columns do not actually need to be aligned. Furthermore a "\" symbol can be placed at the end of a line to mark a continuation. Veusz will read the next line as if it were placed at the end of the current line. In addition comments and blank lines are ignored (unless in block mode). Comments start with a "#", ";", "!" or "%", and continue until the end of the line. The special value "nan" can be used to specify a break in a dataset. If the option to read data in blocks is enabled, Veusz treats blank lines (or lines starting with the word "no") as block separators. For each dataset in the descriptor, separate datasets are created for each block, using a numeric suffix giving the block number, e.g. _1, _2. Data types in text import Veusz supports reading in several types of data. The type of data can be added in round brackets after the name in the descriptor. Veusz will try to guess the type of data based on the first value, so you should specify it if there is any form of ambiguity (e.g. is 3 text or a number). Supported types are numbers (use numeric in brackets) and text (use text in brackets). An example descriptor would be "x(numeric) +- y(numeric) + - label(text)" for an x dataset followed by its symmetric errors, a y dataset followed by two columns of asymmetric errors, and a final column of text for the label dataset. A text column does not need quotation unless it contains space characters or escape characters. However make sure you deselect the "ignore text" option in the import dialog. This ignores lines of text to ease the import of data from other applications. Quotation marks are recommended around text if you wish to avoid ambiguity. Text is quoted according to the Python rules for text. Double or single quotation marks can be used, e.g. "A 'test'", 'A second "test"'. Quotes can be escaped by prefixing them with a backslash, e.g. "A new \"test\ "". If the data are generated from a Python script, the repr function provides the text in a suitable form. Dates and times are also supported with the syntax "dataset(date)". Dates must be in ISO format YYYY-MM-DD. Times are in 24 hour format hh:mm:ss.ss. Dates with times are written YYYY-MM-DDThh:mm:ss.ss (this is a standard ISO format, see http://www.w3.org/TR/NOTE-datetime). Dates are stored within Veusz as a number which is the number of seconds since the start of January 1st 2009. Veusz also supports dates and times in the local format, though take note that the same file and data may not work on a system in a different location. Descriptors A list of datasets, or a "Descriptor", is given in the Import dialog to describe how the data are formatted in the import file. The descriptor at its simplest is a space or comma-separated list of the names of the datasets to import. These are columns in the file. Following a dataset name the text "+", "-", or "+-" can be given to say that the following column is a positive error bar, negative error bar or symmetric error bar for the previous (non error bar) dataset. These symbols should be separated from the dataset name or previous symbol with a space or a comma symbol. In addition, if multiple numbered columns should be imported, the dataset name can be followed by square brackets containing a range in the form "[a:b]" to number columns a to b, or [:] to number remaining columns. See below for examples of this use. Dataset names can contain virtually any character, even unicode characters. If the name contains non alpha-numeric characters (characters outside of A-Z, a-z and 0-9), then the dataset name should be contained within back-tick characters. An example descriptor is `length data (m)`,+- `speed (mps)`,+,-, for two datasets with spaces and brackets in their names. Instead of specifying the descriptor in the Import dialog, the descriptor can be placed in the data file using a descriptor statement on a separate line, consisting of "descriptor" followed by the descriptor. Multiple descriptors can be placed in a single file, for example: # here is one section descriptor x,+- y,+,- 1 0.5 2 0.1 -0.1 2 0.3 4 0.2 -0.1 # my next block descriptor alpha beta gamma 1 2 3 4 5 6 7 8 9 # etc... Descriptor examples 1. x y two columns are present in the file, they will be read in as datasets "x" and "y". 2. x,+- y,+,- or x +- y + - two datasets are in the file. Dataset "x" consists of the first two columns. The first column are the values and the second are the symmetric errors. "y" consists of three columns (note the comma between + and -). The first column are the values, the second positive asymmetric errors, and the third negative asymmetric errors. Suppose the input file contains: 1.0 0.3 2 0.1 -0.2 1.5 0.2 2.3 2e-2 -0.3E0 2.19 0.02 5 0.1 -0.1 Then x will contain "1+-0.3", "1.5+-0.2", "2.19+-0.02". y will contain "2 +0.1 -0.2", "2.3 +0.02 -0.3", "5 +0.1 -0.1". 3. x[1:2] y[:] the first column is the data "x_1", the second "x_2". Subsequent columns are read as "y[1]" to "y[n]". 4. y[:]+- read each pair of columns as a dataset and its symmetric error, calling them "y[1]" to "y[n]". 5. foo,,+- read the first column as the foo dataset, skip a column, and read the third column as its symmetric error. CSV files CVS (comma separated variable) files are often written from other programs, such as spreadsheets, including Excel and Gnumeric. Veusz supports reading from these files. In the import dialog choose "CSV", then choose a filename to import from. In the CSV file the user should place the data in either rows or columns. Veusz will use a name above a column or to the left of a row to specify what the dataset name should be. The user can use new names further down in columns or right in rows to specify a different dataset name. Names do not have to be used, and Veusz will assign default "col" and "row" names if not given. You can also specify a prefix which is prepended to each dataset name read from the file. To specify symmetric errors for a column, put "+-" as the dataset name in the next column or row. Asymmetric errors can be stated with "+" and "-" in the columns. The data type in CSV files are automatically detected unless specified. The data type can be given in brackets after the column name, e.g. "name (text)", where the data type is "date", "numeric" or "text". Explicit data types are needed if the data look like a different data type (e.g. a text item of "1.23"). The date format in CSV files can be specified in the import dialog box - see the examples given. In addition CSV files support numbers in European format (e.g. 2,34 rather than 2.34), depending on the setting in the dialog box. HDF5 files HDF5 is a flexible data format. Datasets and tables can be stored in a hierarchical arrangements of groups within a file. Veusz supports reading 1D numeric, text, date-time or 2D numeric data from HDF files. The h5py Python module must be installed to use HDF5 files (included in binary releases). In the import dialog box, choose which individual datasets to import, or selecting a group to import all the datasets within the group. If selecting a group, datasets in the group incompatible with Veusz are ignored. A name can be provided for each dataset imported by entering one under "Import as". If one is not given, the dataset or column name is used. The name can also be specified by setting the HDF5 dataset attribute vsz_name to the name. Note that for compound datasets (tables), vsz_ attributes for columns are given by appending the suffix _columnname to the attribute. Error bars Error bars are supported in two ways. The first way is to combine 1D datasets. For the datasets which are error bars, use a name which is the same as the main dataset but with the suffix "(+-)", "(+)" or "(-)", for symmetric, postive or negative error bars, respectively. The second method is to use a 2D dataset with two or three columns, for symmetric or asymmetric error bars, respectively. Click on the dataset in the dialog and choose the option to import as a 1D dataset. This second method can also be enabled by adding an HDF5 attribute vsz_twod_as_oned set to a non-zero value for the dataset. Slices As Veusz only supports 1D and 2D datasets, you may wish to reduce the dimensions of a dataset before importing by slicing. You can also give a slice to import a subset of a dataset. When importing, in the slice column you can give a slice expression. This should have the same number of entries as the dataset has dimensions, separated by commas. An entry can be a single number, to select a particular row or column. Alternatively it could be an expression like a:b:c or a:b, where a is the starting index, b is one beyond the stopping index and optionally c is the step size. A slice can also be specified by providing an HDF5 attribute vsz_slice for the dataset. 2D data ranges 2D data have an associated X and Y range. By default the number of pixels of the image are used to give this range. A range can be specified by clicking on the dataset and entering a minimum and maximum X and Y coordinates. Alternatively, provide the HDF5 attribute for the dataset vsz_range, which should be set to an array of four values (minimum x, minimum y, maximum x, maximum y). Dates Date/time datasets can be made from a 1D numeric dataset or from a text dataset. For the 1D dataset, use the number of seconds relative to the start of the year 2009 (this is Veusz format) or the year 1970 (this is Unix format). In the import dialog, click on the name of the dataset and choose the date option. To specify a date format in the HDF5 file, set the attribute vsz_convert_datetime to either veusz or unix. For text datasets, dates must be given in the right format, selected in the import dialog after clicking on the dataset name. As in other file formats, by default Veusz uses ISO 8601 format, which looks like "2013-12-22T21:08:07", where the date and time parts are optional. The T is also optional. You can also provide your own format when importing by giving a date expression using YYYY, MM, DD, hh, mm and ss (e.g. "YYYY-MM-DD|T|hh:mm:ss"), where vertical bars mark optional parts of the expression. To automate this, set the attribute vsz_convert_datetime to the format expression or iso to specify ISO format. 2D text or CSV format Veusz can import 2D data from standard text or CSV files. In this case the data should consist of a matrix of data values, with the columns separated by one or more spaces or tabs and the rows on different lines. In addition to the data the file can contain lines at the top which affect the import. Such specifiers are used, for example, to change the coordinates of the pixels in the file. By default the first pixels coordinates is between 0 and 1, with the centre at 0.5. Subsequent pixels are 1 greater. When using specifiers in CSV files, put the different parts (separated by spaces) in separate columns. Below are listed the specifiers: 1. xrange A B - make the 2D dataset span the coordinate range A to B in the x-axis (where A and B are numbers). Note that the range is inclusive, so a 1 pixel wide image with A=0 and B=1 would have the pixel centre at 0.5. The pixels are assumed to have the same spacing. Do not use this as the same time as the xedge or xcent options. 2. yrange A B - make the 2D dataset span the coordinate range A to B in the y-axis (where A and B are numbers). 3. xedge A B C... - rather than assume the pixels have the same spacing, give the coordinates of the edges of the pixels in the x-axis. The numbers should be space-separated and there should be one more number than pixels. Do not give xrange or xcent if this is given. 4. yedge A B C... - rather than assume the pixels have the same spacing, give the coordinates of the edges of the pixels in the y-axis. 5. xcent A B C... - rather than give a total range or pixel edges, give the centres of the pixels. There should be the same number of values as pixels in the image. Do not give xrange or xedge if this is given. 6. ycent A B C... - rather than give a total range or pixel edges, give the centres of the pixels. 7. invertrows - invert the rows after reading the data. 8. invertcols - invert the columns after reading the data. 9. transpose - swap rows and columns after importing data. 10. gridatedge - the first row and leftmost column give the positions of the centres of the pixels. This is also an option in the import dialog. The values should be increasing. FITS files 1D or 2D data can be read from FITS files. 1D data, with optional errors bars, can be read from table extensions, and 2D data from image or primary extensions. Note that pyfits or astropy must be installed to get FITS support. To read 1D data, choose a tabular HDU for to import from, enter the name to give the imported data, and choose the columns to assign to the data. Multiple sets of data can be read by repeatedly importing. For 2D data, choose an image HDU. Enter the name of the dataset. The data are imported with pixel coordinates by default (i.e. the pixels are numbered with integers). Other modes can be selected under Image WCS mode. These include fractional, where the pixels are numbered between 0 and 1. Pixel (WCS) assigns the pixel coordinate calculated relative to the CRPIX1/2 header keywords. Linear (WCS) uses linear coordinates where the Pixel (WCS) coordinates are multiplied by the respective CDELT1/2 values and added to the CRVAL1/2 values. Reading other data formats As mentioned above, a user may write some Python code to read a data file or set of data files. To write a plugin which is incorportated into Veusz, see http://barmag.net/veusz-wiki/ImportPlugins You can also include Python code in an input file to read data, which we describe here. Suppose an input file "in.dat" contains the following data: 1 2 2 4 3 9 4 16 Of course this data could be read using the ImportFile command. However, you could also read it with the following Veusz script (which could be saved to a file and loaded with execfile or Load. The script also places symmetric errors of 0.1 on the x dataset. x = [] y = [] for line in open("in.dat"): parts = [float(i) for i in line.split()] x.append(parts[0]) y.append(parts[1]) SetData('x', x, symerr=0.1) SetData('y', y) Manipulating datasets Imported datasets can easily be modified in the Data Editor dialog box. This dialog box can also be used to create new datasets from scratch by typing them in. The Data Create dialog box is used to new datasets as a numerical sequence, parametrically or based on other datasets given expressions. If you want to plot a function of a dataset, you often do not have to create a new dataset. Veusz allows to enter expressions directly in many places. Using dataset plugins Dataset plugins can be used to perform arbitrary manipulation of datasets. Veusz includes several plugins for mathematical operation of data and other dataset manipulations, such as concatenation or splitting. If you wish to write your own plugins look at http://barmag.net/veusz-wiki/DatasetPlugins. Using expressions to create new datasets For instance, if the user has already imported dataset d, then they can create d2 which consists of d**2. Expressions are in Python numpy syntax and can include the usual mathematical functions. [createdata] Expressions for error bars can also be given. By appending _data, _serr, _perr or _nerr to the name of the dataset in the expression, the user can base their expression on particular parts of the given dataset (the main data, symmetric errors, positive errors or negative errors). Otherwise the program uses the same parts as is currently being specified. If a dataset name contains non alphanumeric characters, its name should be quoted in the expression in back-tick characters, e.g. `length (cm)`*2. The numpy functionality is particularly useful for doing more complicated expressions. For instance, a conditional expression can be written as where(x Use a dataset plugin. pluginname: name of plugin to use fields: dict of input values to plugin datasetnames: dict mapping old names to new names of datasets if they are renamed. The new name None means dataset is deleted EnableToolbar EnableToolbar(enable=True) Enable/disable the zooming toolbar in the plotwindow. This command is only supported in embedded mode or from veusz_listen. Export Export(filename, color=True, page=0 dpi=100, antialias=True, quality=85, backcolor='#ffffff00', pdfdpi=150, svgtextastext=False) Export the page given to the filename given. The filename must end with the correct extension to get the right sort of output file. Currrenly supported extensions are '.eps', '.pdf', '.svg', '.jpg', '.jpeg', '.bmp' and '.png'. If color is True, then the output is in colour, else greyscale. page is the page number of the document to export (starting from 0 for the first page!). dpi is the number of dots per inch for bitmap output files. antialias - antialiases output if True. quality is a quality parameter for jpeg output. backcolor is the background color for bitmap files, which is a name or a #RRGGBBAA value (red, green, blue, alpha). pdfdpi is the dpi to use when exporting EPS or PDF files. svgtextastext says whether to export SVG text as text, rather than curves. ForceUpdate ForceUpdate() Force the window to be updated to reflect the current state of the document. Often used when periodic updates have been disabled (see SetUpdateInterval). This command is only supported in embedded mode or from veusz_listen. Get Get('settingpath') Returns: The value of the setting given by the path. >>> Get('/page1/graph1/x/min') 'Auto' GetChildren GetChildren(where='.') Returns: The names of the widgets which are children of the path given GetClick GetClick() Waits for the user to click on a graph and returns the position of the click on appropriate axes. Command only works in embedded mode. Returns: A list containing tuples of the form (axispath, val) for each axis for which the click was in range. The value is the value on the axis for the click. GetData GetData(name) Returns: For a 1D dataset, a tuple containing the dataset with the name given. The value is (data, symerr, negerr, poserr), with each a numpy array of the same size or None. data are the values of the dataset, symerr are the symmetric errors (if set), negerr and poserr and negative and positive asymmetric errors (if set). If a text dataset, return a list of text elements. If the dataset is a date-time dataset, return a list of Python datetime objects. If the dataset is a 2D dataset return the tuple (data, rangex, rangey), where data is a 2D numpy array and rangex/y are tuples giving the range of the x and y coordinates of the data. data = GetData('x') SetData('x', data[0]*0.1, *data[1:]) GetDataType GetDataType(name) Get type of dataset with name given. Returns '1d' for a 1d dataset, '2d' for a 2d dataset, 'text' for a text dataset and 'datetime' for a datetime dataset. GetDatasets GetDatasets() Returns: The names of the datasets in the current document. GPL GPL() Print out the GNU Public Licence, which Veusz is licenced under. ImportFile ImportFile('filename', 'descriptor', linked=False, prefix='', suffix='', encoding='utf_8', renames={}) Imports data from a file. The arguments are the filename to load data from and the descriptor. The format of the descriptor is a list of variable names representing the columns of the data. For more information see Descriptors. If the linked parameter is set to True, if the document is saved, the data imported will not be saved with the document, but will be reread from the filename given the next time the document is opened. The linked parameter is optional. If prefix and/or suffix are set, then the prefix and suffix are added to each dataset name. If set, renames maps imported dataset names to final dataset names after import. Returns: A tuple containing a list of the imported datasets and the number of conversions which failed for a dataset. Changed in version 0.5: A tuple is returned rather than just the number of imported variables. ImportFile2D ImportFile2D('filename', datasets, xrange=(a,b), yrange=(c,d), invertrows=True/ False, invertcols=True/False, transpose=True/False, prefix='', suffix='', linked=False, encoding='utf8', renames={}) Imports two-dimensional data from a file. The required arguments are the filename to load data from and the dataset name, or a list of names to use. filename is a string which contains the filename to use. datasets is either a string (for a single dataset), or a list of strings (for multiple datasets). The xrange parameter is a tuple which contains the range of the X-axis along the two-dimensional dataset, for example (-1., 1.) represents an inclusive range of -1 to 1. The yrange parameter specifies the range of the Y-axis similarly. If they are not specified, (0, N) is the default, where N is the number of datapoints along a particular axis. invertrows and invertcols if set to True, invert the rows and columns respectively after they are read by Veusz. transpose swaps the rows and columns. If prefix and/or suffix are set, they are prepended or appended to imported dataset names. If set, renames maps imported dataset names to final dataset names after import. If the linked parameter is True, then the datasets are linked to the imported file, and are not saved within a saved document. The file format this command accepts is a two-dimensional matrix of numbers, with the columns separated by spaces or tabs, and the rows separated by new lines. The X-coordinate is taken to be in the direction of the columns. Comments are supported (use "#", "!" or "%"), as are continuation characters (" \"). Separate datasets are deliminated by using blank lines. In addition to the matrix of numbers, the various optional parameters this command takes can also be specified in the data file. These commands should be given on separate lines before the matrix of numbers. They are: 1. xrange A B 2. yrange C D 3. invertrows 4. invertcols 5. transpose ImportFileCSV ImportFileCSV('filename', readrows=False, dsprefix='', dssuffix='', linked= False, encoding='utf_8', renames={}) This command imports data from a CSV format file. Data are read from the file using the dataset names given at the top of the files in columns. Please see the reading data section of this manual for more information. dsprefix is prepended to each dataset name and dssuffix is added (the prefix option is deprecated and also addeds an underscore to the dataset name). linked specifies whether the data will be linked to the file. renames, if set, provides new names for datasets after import. ImportFileHDF5 ImportFileHDF5(filename, items, namemap={}, slices={}, twodranges={}, twod_as_oned=set([]), convert_datetime={}, prefix='', suffix='', renames={}, linked=False) Import data from a HDF5 file. items is a list of groups and datasets which can be imported. If a group is imported, all child datasets are imported. namemap maps an input dataset to a veusz dataset name. Special suffixes can be used on the veusz dataset name to indicate that the dataset should be imported specially. 'foo (+)': import as +ve error for dataset foo 'foo (-)': import as -ve error for dataset foo 'foo (+-)': import as symmetric error for dataset foo slices is an optional dict specifying slices to be selected when importing. For each dataset to be sliced, provide a tuple of values, one for each dimension. The values should be a single integer to select that index, or a tuple (start, stop, step), where the entries are integers or None. twodranges is an optional dict giving data ranges for 2d datasets. It maps names to (minx, miny, maxx, maxy). twod_as_oned: optional set containing 2d datasets to attempt to read as 1d convert_datetime should be a dict mapping hdf name to specify date/time importing. For a 1d numeric dataset: if this is set to 'veusz', this is the number of seconds since 2009-01-01, if this is set to 'unix', this is the number of seconds since 1970-01-01. For a text dataset, this should give the format of the date/time, e.g. 'YYYY-MM-DD|T|hh:mm:ss' or 'iso' for iso format. renames is a dict mapping old to new dataset names, to be renamed after importing. linked specifies that the dataset is linked to the file. Attributes can be used in datasets to override defaults: 'vsz_name': set to override name for dataset in veusz 'vsz_slice': slice on importing (use format "start:stop:step,...") 'vsz_range': should be 4 item array to specify x and y ranges: [minx, miny, maxx, maxy] 'vsz_twod_as_oned': treat 2d dataset as 1d dataset with errors 'vsz_convert_datetime': treat as date/time, set to one of the values above. For compound datasets these attributes can be given on a per-column basis using attribute names vsz_attributename_columnname. Returns: list of imported datasets ImportFilePlugin ImportFilePlugin('pluginname', 'filename', **pluginargs, linked=False, encoding ='utf_8', prefix='', suffix='', renames={}) Import data from file using import plugin 'pluginname'. The arguments to the plugin are given, plus optionally a text encoding, and prefix and suffix to prepend or append to dataset names. renames, if set, provides new names for datasets after import. ImportFITSFile ImportFITSFile(datasetname, filename, hdu, datacol='A', symerrcol='B', poserrcol='C', negerrcol='D', linked=True/False, renames={}) This command does a simple import from a FITS file. The FITS format is used within the astronomical community to transport binary data. For a more powerful FITS interface, you can use PyFITS within your scripts. The datasetname is the name of the dataset to import, the filename is the name of the FITS file to import from. The hdu parameter specifies the HDU to import data from (numerical or a name). If the HDU specified is a primary HDU or image extension, then a two-dimensional dataset is loaded from the file. The optional parameters (other than linked) are ignored. Any WCS information within the HDU are used to provide a suitable xrange and yrange. If the HDU is a table, then the datacol parameter must be specified (and optionally symerrcol, poserrcol and negerrcol). The dataset is read in from the named column in the table. Any errors are read in from the other specified columns. If linked is True, then the dataset is not saved with a saved document, but is reread from the data file each time the document is loaded. renames, if set, provides new names for datasets after import. ImportString ImportString('descriptor', 'data') Like, ImportFile, but loads the data from the specfied string rather than a file. This allows data to be easily embedded within a document. The data string is usually a multi-line Python string. Returns: A tuple containing a list of the imported datasets and the number of conversions which failed for a dataset. Changed in version 0.5: A tuple is returned rather than just the number of imported variables. ImportString('x y', ''' 1 2 2 5 3 10 ''') ImportString2D ImportString2D(datasets, string) Imports a two-dimensional dataset from the string given. This is similar to the ImportFile2D command, with the same dataset format within the string. This command, however, does not currently take any optional parameters. The various controlling parameters can be set within the string. See the ImportFile2D section for details. IsClosed IsClosed() Returns a boolean value telling the caller whether the plotting window has been closed. Note: this command is only supported in the embedding interface. List List(where='.') List the widgets which are contained within the widget with the path given, the type of widgets, and a brief description. Load Load('filename.vsz') Loads the veusz script file given. The script file can be any Python code. The code is executed using the Veusz interpreter. Note: this command is only supported at the command line and not in a script. Scripts may use the python execfile function instead. MoveToPage MoveToPage(pagenum) Updates window to show the page number given of the document. Note: this command is only supported in the embedding interface or veusz_listen. ReloadData ReloadData() Reload any datasets which have been linked to files. Returns: A tuple containing a list of the imported datasets and the number of conversions which failed for a dataset. Rename Remove('widgetpath', 'newname') Rename the widget at the path given to a new name. This command does not move widgets. See To for a description of the path syntax. '.' can be used to select the current widget. Remove Remove('widgetpath') Remove the widget selected using the path. See To for a description of the path syntax. ResizeWindow ResizeWindow(width, height) Resizes window to be width by height pixels. Note: this command is only supported in the embedding interface or veusz_listen. Save Save('filename.vsz') Save the current document under the filename given. Set Set('settingpath', val) Set the setting given by the path to the value given. If the type of val is incorrect, an InvalidType exception is thrown. The path to the setting is the optional path to the widget the setting is contained within, an optional subsetting specifier, and the setting itself. Set('page1/graph1/x/min', -10.) SetAntiAliasing SetAntiAliasing(on) Enable or disable anti aliasing in the plot window, replotting the image. SetData SetData(name, val, symerr=None, negerr=None, poserr=None) Set the dataset name with the values given. If None is given for an item, it will be left blank. val is the actual data, symerr are the symmetric errors, negerr and poserr and the getative and positive asymmetric errors. The data can be given as lists or numpys. SetDataExpression SetDataExpression(name, val, symerr=None, negerr=None, poserr=None, linked= False, parametric=None) Create a new dataset based on the expressions given. The expressions are Python syntax expressions based on existing datasets. If linked is True, the dataset will change as the datasets in the expressions change. Parametric can be set to a tuple of (minval, maxval, numitems). t in the expression will iterate from minval to maxval in numitems values. SetDataRange SetDataRange(name, numsteps, val, symerr=None, negerr=None, poserr=None, linked =False) Set dataset to be a range of values with numsteps steps. val is tuple made up of (minimum value, maximum value). symerr, negerr and poserr are optional tuples for the error bars. If linked is True, the dataset can be saved in a document as a SetDataRange, otherwise it is expanded to the values which would make it up. SetData2D SetData2D('name', val, xrange=(A,B), yrange=(C,D), xgrid=[1,2,3...], ygrid= [4,5,6...]) Creates a two-dimensional dataset with the name given. val is either a two-dimensional numpy array, or is a list of lists, with each list in the list representing a row. Do not give xrange if xgrid is set and do not give yrange if ygrid is set, and vice versa. xrange and yrange are optional tuples giving the inclusive range of the X and Y coordinates of the data. xgrid and ygrid are optional lists, tuples or arrays which give the coordinates of the edges of the pixels. There should be one more item in each array than pixels. SetData2DExpression SetData2DExpression('name', expr, linked=False) Create a 2D dataset based on expressions. name is the new dataset name expr is an expression which should return a 2D array linked specifies whether to permanently link the dataset to the expressions. SetData2DExpressionXYZ SetData2DExpressionXYZ('name', 'xexpr', 'yexpr', 'zexpr', linked=False) Create a 2D dataset based on three 1D expressions. The x, y expressions need to evaluate to a grid of x, y points, with the z expression as the 2D value at that point. Currently only linear fixed grids are supported. This function is intended to convert calculations or measurements at fixed points into a 2D dataset easily. Missing values are filled with NaN. SetData2DXYFunc SetData2DXYFunc('name', xstep, ystep, 'expr', linked=False) Construct a 2D dataset using a mathematical expression of "x" and "y". The x values are specified as (min, max, step) in xstep as a tuple, the y values similarly. If linked remains as False, then a real 2D dataset is created, where values can be modified and the data are stored in the saved file. SetDataDateTime SetDataDateTime('name', vals) Creates a datetime dataset of name given. vals is a list of Python datetime objects. SetDataText SetDataText(name, val) Set the text dataset name with the values given. val must be a type that can be converted into a Python list. SetDataText('mylabel', ['oranges', 'apples', 'pears', 'spam']) SetToReference SetToReference(setting, refval) Set setting to match other setting refval always.. SetUpdateInterval SetUpdateInterval(interval) Tells window to update every interval milliseconds at most. The value 0 disables updates until this function is called with a non-zero. The value -1 tells Veusz to update the window every time the document has changed. This will make things slow if repeated changes are made to the document. Disabling updates and using the ForceUpdate command will allow the user to control updates directly. Note: this command is only supported in the embedding interface or veusz_listen. SetVerbose SetVerbose(v=True) If v is True, then extra information is printed out by commands. StartSecondView StartSecondView(name = 'window title') In the embedding interface, this method will open a new Embedding interface onto the same document, returning the object. This new window provides a second view onto the document. It can, for instance, show a different page to the primary view. name is a window title for the new window. Note: this command is only supported in the embedding interface. TagDatasets TagDatasets('tag', ['ds1', 'ds2'...]) Adds the tag to the list of datasets given.. To To('widgetpath') The To command takes a path to a widget and moves to that widget. For example, this may be "/", the root widget, "graph1", "/page1/graph1/x", "../x". The syntax is designed to mimic Unix paths for files. "/" represents the base widget (where the pages reside), and ".." represents the widget next up the tree. Quit Quit() Quits Veusz. This is only supported in veusz_listen. WaitForClose WaitForClose() Wait until the plotting window has been closed. Note: this command is only supported in the embedding interface. Zoom Zoom(factor) Sets the plot zoom factor, relative to a 1:1 scaling. factor can also be "width", "height" or "page", to zoom to the page width, height or page, respectively. This is only supported in embedded mode or veusz_listen. Security With the 1.0 release of Veusz, input scripts and expressions are checked for possible security risks. Only a limited subset of Python functionality is allowed, or a dialog box is opened allowing the user to cancel the operation. Specifically you cannot import modules, get attributes of Python objects, access globals() or locals() or do any sort of file reading or manipulation. Basically anything which might break in Veusz or modify a system is not supported. In addition internal Veusz functions which can modify a system are also warned against, specifically Print(), Save() and Export(). If you are running your own scripts and do not want to be bothered by these dialogs, you can run veusz with the --unsafe-mode option. Chapter 4. Using Veusz from other programs Table of Contents Non-Qt Python programs Older path-based interface New-style object interface Translating old to new style PyQt4 programs Non Python programs C, C++ and Fortran Non-Qt Python programs Veusz can be used as a Python module for plotting data. There are two ways to use the module: (1) with an older path-based Veusz commands, used in Veusz saved document files or (2) using an object-oriented interface. With the old style method the user uses a unix-path inspired API to navigate the widget tree and add or manipulate widgets. With the new style interface, the user navigates the tree with attributes of the Root object to access Nodes. The new interface is likely to be easier to use unless you are directly translating saved files. Older path-based interface """An example embedding program. Veusz needs to be installed into the Python path for this to work (use setup.py) This animates a sin plot, then finishes """ import time import numpy import veusz.embed as veusz # construct a Veusz embedded window # many of these can be opened at any time g = veusz.Embedded('window title') g.EnableToolbar() # construct the plot g.To( g.Add('page') ) g.To( g.Add('graph') ) g.Add('xy', marker='tiehorz', MarkerFill__color='green') # this stops intelligent axis extending g.Set('x/autoExtend', False) g.Set('x/autoExtendZero', False) # zoom out g.Zoom(0.8) # loop, changing the values of the x and y datasets for i in range(10): x = numpy.arange(0+i/2., 7.+i/2., 0.05) y = numpy.sin(x) g.SetData('x', x) g.SetData('y', y) # wait to animate the graph time.sleep(2) # let the user see the final result print "Waiting for 10 seconds" time.sleep(10) print "Done!" # close the window (this is not strictly necessary) g.Close() The embed interface has the methods listed in the command line interface listed in the Veusz manual http://home.gna.org/veusz/docs/manual.html Multiple Windows are supported by creating more than one Embedded object. Other useful methods include: • WaitForClose() - wait until window has closed • GetClick() - return a list of (axis, value) tuples where the user clicks on a graph • ResizeWndow(width, height) - resize window to be width x height pixels • SetUpdateInterval(interval) - set update interval in ms or 0 to disable • MoveToPage(page) - display page given (starting from 1) • IsClosed() - has the page been closed • Zoom(factor) - set zoom level (float) or 'page', 'width', 'height' • Close() - close window • SetAntiAliasing(enable) - enable or disable antialiasing • EnableToolbar(enable=True) - enable plot toolbar • StartSecondView(name='Veusz') - start a second view onto the document of the current Embedded object. Returns a new Embedded object. New-style object interface In versions of Veusz >1.8 is a new style of object interface, which makes it easier to construct the widget tree. Each widget, group of settings or setting is stored as a Node object, or its subclass, in a tree. The root document widget can be accessed with the Root object. The dot operator "." finds children inside other nodes. In Veusz some widgets can contain other widgets (Root, pages, graphs, grids). Widgets contain setting nodes, accessed as attributes. Widgets can also contain groups of settings, again accessed as attributes. An example tree for a document (not complete) might look like this Root \-- page1 (page widget) \-- graph1 (graph widget) \-- x (axis widget) \-- y (axis widget) \-- function (function widget) \-- grid1 (grid widget) \-- graph2 (graph widget) \-- xy1 (xy widget) \-- xData (setting) \-- yData (setting) \-- PlotLine (setting group) \-- width (setting) ... ... \-- x (axis widget) \-- y (axis widget) \-- graph3 (graph widget) \-- contour1 (contour widget) \-- x (axis widget) \-- y (axis widget) Here the user could access the xData setting node of the xy1 widget using Root.page1.graph2.xy1.xData. To actually read or modify the value of a setting, you should get or set the val property of the setting node. The line width could be changed like this graph = embed.Root.page1.graph2 graph.xy1.PlotLine.width.val = '2pt' For instance, this constructs a simple x-squared plot which changes to x-cubed: import veusz.embed as veusz import time # open a new window and return a new Embedded object embed = veusz.Embedded('window title') # make a new page, but adding a page widget to the root widget page = embed.Root.Add('page') # add a new graph widget to the page graph = page.Add('graph') # add a function widget to the graph. The Add() method can take a list of settings # to set after widget creation. Here, "function='x**2'" is equivalent to # function.function.val = 'x**2' function = graph.Add('function', function='x**2') time.sleep(2) function.function.val = 'x**3' # this is the same if the widgets have the default names Root.page1.graph1.function1.function.val = 'x**3' If the document contains a page called "page1" then Root.page1 is the object representing the page. Similarly, Root.page1.graph1 is a graph called graph1 in the page. You can also use dictionary-style indexing to get child widgets, e.g. Root['page1']['graph1']. This style is easier to use if the names of widgets contain spaces or if widget names shadow methods or properties of the Node object, i.e. if you do not control the widget names. Widget nodes can contain as children other widgets, groups of settings, or settings. Groups of settings can contain child settings. Settings cannot contain other nodes. Here are the useful operations of Nodes: class Node(object): """properties: path - return path to object in document, e.g. /page1/graph1/function1 type - type of node: "widget", "settinggroup" or "setting" name - name of this node, e.g. "graph1" children - a generator to return all the child Nodes of this Node, e.g. for c in Root.children: print c.path children_widgets - generator to return child widget Nodes of this Node children_settinggroups - generator for child setting groups of this Node children_settings - a generator to get the child settings childnames - return a list of the names of the children of this Node childnames_widgets - return a list of the names of the child widgets childnames_settinggroups - return a list of the names of the setting groups childnames_settings - return a list of the names of the settings parent - return the Node corresponding to the parent widget of this Node __getattr__ - get a child Node with name given, e.g. Root.page1 __getitem__ - get a child Node with name given, e.g. Root['page1'] """ def fromPath(self, path): """Returns a new Node corresponding to the path given, e.g. '/page1/graph1'""" class SettingNode(Node): """A node which corresponds to a setting. Extra properties: val - get or set the setting value corresponding to this value, e.g. Root.page1.graph1.leftMargin.val = '2cm' """ class SettingGroupNode(Node): """A node corresponding to a setting group. No extra properties.""" class WidgetNode(Node): """A node corresponding to a widget. property: widgettype - get Veusz type of widget Methods are below.""" def WalkWidgets(self, widgettype=None): """Generator to walk widget tree and get widgets below this WidgetNode of type given. widgettype is a Veusz widget type name or None to get all widgets.""" def Add(self, widgettype, *args, **args_opt): """Add a widget of the type given, returning the Node instance. """ def Rename(self, newname): """Renames widget to name given. Existing Nodes corresponding to children are no longer valid.""" def Action(self, action): """Applies action on widget.""" def Remove(self): """Removes a widget and its children. Existing Nodes corresponding to children are no longer valid.""" Note that Nodes are temporary objects which are created on the fly. A real widget in Veusz can have several different WidgetNode objects. The operators == and != can test whether a Node points to the same widget, setting or setting group. Here is an example to set all functions in the document to be x**2: for n in Root.WalkWidgets(widgettype='function'): n.function.val = 'x**2' Translating old to new style Here is an example how you might translate the old to new style interface (this is taken from the sin.vsz example). # old (from saved document file) Add('page', name='page1') To('page1') Add('graph', name='graph1', autoadd=False) To('graph1') Add('axis', name='x') To('x') Set('label', '\\italic{x}') To('..') Add('axis', name='y') To('y') Set('label', 'sin \\italic{x}') Set('direction', 'vertical') To('..') Add('xy', name='xy1') To('xy1') Set('MarkerFill/color', 'cyan') To('..') Add('function', name='function1') To('function1') Set('function', 'sin(x)') Set('Line/color', 'red') To('..') To('..') To('..') # new (in python) import veusz.embed embed = veusz.embed.Embedded('window title') page = embed.Root.Add('page') # note: autoAdd=False stops graph automatically adding own axes (used in saved files) graph = page.Add('graph', autoadd=False) x = graph.Add('axis', name='x') x.label.val = '\\italic{x}' y = graph.Add('axis', name='y') y.direction.val = 'vertical' xy = graph.Add('xy') xy.MarkerFill.color.val = 'cyan' func = graph.Add('function') func.function.val = 'sin(x)' func.Line.color.val = 'red' PyQt4 programs There is no direct PyQt4 interface. The standard embedding interface should work, however. Non Python programs Support for non Python programs is available in a limited form. External programs may execute the veusz_listen executable or veusz_listen.py Python module. Veusz will read its input from the standard input, and write output to standard output. This is a full Python execution environment, and supports all the scripting commands mentioned in Commands, a Quit() command, the EnableToolbar() and the Zoom(factor) command listed above. Only one window is supported at once, but many veusz_listen programs may be started. veusz_listen may be used from the shell command line by doing something like: veusz_listen < in.vsz where in.vsz contains: To(Add('page') ) To(Add('graph') ) SetData('x', arange(20)) SetData('y', arange(20)**2) Add('xy') Zoom(0.5) Export("foo.eps") Quit() A program may interface with Veusz in this way by using the popen C Unix function, which allows a program to be started having control of its standard input and output. Veusz can then be controlled by writing commands to an input pipe. C, C++ and Fortran A callable library interface to Veusz is on my todo list for C, C++ and Fortran. Please tell me if you would be interested in this option. veusz-1.21.1/Documents/config.xsl0000664000175000017500000000113212260623255015070 0ustar jssjss veusz-1.21.1/Documents/veusz.pod0000664000175000017500000000512612263564313014764 0ustar jssjss=head1 NAME Veusz - a scientific plotting and graphing application. =head1 SYNOPSIS veusz [I] [F]... =head1 DESCRIPTION B is a scientific plotting and graphing package. It is designed to create publication-ready output in a variety of different output formats. Graphs are built-up combining plotting widgets. Veusz has a GUI user interface (started with the C command), a Python module interface and a scripting interface. If started without command line arguments, B will open up with a new empty document. The program will otherwise open the listed documents. =head1 OPTIONS =over 8 =item B<--unsafe-mode> Do not check opened scripts for the presence of unsafe Python commands. This allows you to create or open complete Python scripts with Veusz commands if they come from a trusted source. =item B<--listen> Read Veusz commands from stdin, executing them, then writing the results to stdout. This option is intended to replace the veusz_listen standalone program. In this mode Veusz does not read any input documents, but will use the first argument to the program as the window title, if given. =item B<--quiet> If in listening mode, do not open a window before running commands, but execute them quietly. =item B<--export>=I Export the next Veusz document file on the command line to the graphics file I. Supported file types include EPS, PDF, SVG, PNG, BMP, JPG and XPM. The extension of the output file is used to determine the output file format. There should be as many export options specified as input Veusz documents on the command line. =item B<--plugin>=I Loads the Veusz plugin I when starting Veusz. This option provides a per-session alternative to adding the plugin in the preferences dialog box. =item B<--help> Displays the options to the program and exits. =item B<--version> Displays information about the currently installed version and exits. =back =head1 BUGS Please report bugs at https://gna.org/bugs/?group=veusz =head1 AUTHORS B was written by Jeremy Sanders . This manual page was written by Jeremy Sanders . =head1 COPYRIGHT Copyright (C) 2003-2014 Jeremy Sanders . This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2, or (at your option) any later version. On Debian GNU/Linux systems, the complete text of the GNU General Public License can be found in `/usr/share/common-licenses/GPL'. =cut veusz-1.21.1/Documents/Interface.txt0000644000175000017500000000116411662000553015532 0ustar jssjssJust some notes on the interface design... ------------------------------------------ AddGraph('function', 'x**2', name='fn') AddGraph('xy', 'x', 'y', name='data') (alias AG) AddContainer('grid', columns=3) (alias AC) List() - list graphs in current container (alias L) Save('filename.rap') Load('filename.rap') WriteFile('eps', 'filename.eps') (alias WF) Change('fn') (alias C) GraphUp() (alias U) ReadFile('descriptor', 'filename.dat') (alias RF) SetData('x', numarray, symerr=var1, negerr=var2, poserr=var2) Attribute('AxisLabel.text', 'axis') (alias A) AttributeAxis('x', 'AxisLabel.text', 'axis') (alias AA) veusz-1.21.1/Documents/document_api.py0000644000175000017500000001074312327177747016140 0ustar jssjss# Copyright (C) 2010 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """ Document veusz widget types and settings Creates an xml file designed to be processed into a web page using xsl """ from __future__ import division, print_function import re import veusz.widgets as widgets import veusz.document as document import veusz.setting as setting #import cElementTree as ET #import elementtree.ElementTree as ET import xml.etree.ElementTree as ET def processSetting(parent, setn): """Convert setting to xml element.""" setnxml = ET.SubElement(parent, "setting") ET.SubElement(setnxml, "apiname").text = setn.name ET.SubElement(setnxml, "displayname").text = setn.usertext ET.SubElement(setnxml, "description").text = setn.descr ET.SubElement(setnxml, "formatting").text = str(setn.formatting) typename = str(type(setn)) typename = re.match(r"^$", typename).group(1) typename = typename.split('.')[-1] ET.SubElement(setnxml, "type").text = typename # show list of possible choices if there is one if isinstance(setn, setting.Choice): for choice in setn.vallist: ET.SubElement(setnxml, "choice").text = choice if not isinstance(setn.default, setting.ReferenceBase): ET.SubElement(setnxml, "default").text = setn.toText() else: ET.SubElement(setnxml, "default").text = "to reference" def processSettings(parent, setns): """Convert setting to xml element.""" setnsxml = ET.SubElement(parent, "settings") ET.SubElement(setnsxml, "apiname").text = setns.name ET.SubElement(setnsxml, "displayname").text = setns.usertext ET.SubElement(setnsxml, "description").text = setns.descr for s in setns.getSettingList(): processSetting(setnsxml, s) def processWidgetType(root, name): """Produce documentation for a widget type.""" widgetxml = ET.SubElement(root, "widget") klass = document.thefactory.getWidgetClass(name) print(klass) ET.SubElement(widgetxml, "apiname").text = name try: ET.SubElement(widgetxml, "description").text = klass.description except AttributeError: pass for parent in [k for k in klass.allowedParentTypes() if k is not None]: ET.SubElement(widgetxml, "allowedparent").text = parent.typename ET.SubElement(widgetxml, "usercreation").text = str(klass.allowusercreation) thesettings = setting.Settings('') klass.addSettings(thesettings) #for s in thesettings.getSettingList(): processSettings(widgetxml, thesettings) for s in thesettings.getSettingsList(): processSettings(widgetxml, s) def indent(elem, level=0): """Indent output, from elementtree manual.""" i = "\n" + level*" " if len(elem): if not elem.text or not elem.text.strip(): elem.text = i + " " if not elem.tail or not elem.tail.strip(): elem.tail = i for elem in elem: indent(elem, level+1) if not elem.tail or not elem.tail.strip(): elem.tail = i else: if level and (not elem.tail or not elem.tail.strip()): elem.tail = i def addXSL(filename): f = open(filename) l = f.readlines() f.close() l.insert(1, '\n') f = open(filename, 'w') f.writelines(l) f.close() def main(): widgettypes = document.thefactory.listWidgets() root = ET.Element("widgets") for wt in widgettypes: processWidgetType(root, wt) tree = ET.ElementTree(root) indent(root) tree.write('widget_doc.xml', encoding="utf8") addXSL('widget_doc.xml') if __name__ == '__main__': main() veusz-1.21.1/Documents/manual.pdf0000644000175000017500000144303512275421434015057 0ustar jssjss%PDF-1.4 % 4 0 obj << /Creator (Apache FOP Version 1.1) /Producer (Apache FOP Version 1.1) /CreationDate (D:20140208132908+01'00') >> endobj 5 0 obj << /N 3 /Length 11 0 R /Filter /FlateDecode >> stream xwXSsN`$!l{@ ٢ $ @TR)XZԉ( RZD|yL0V@(#q `=nnWXX0+Зȕ;ѫR1{Ol(Lγx\䜙/V'LKP0RX~@9k(8u?̰yBOΑr y <)_Έ"<?_l) F+s9H MI#~__ Q$. 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veusz-1.21.1/Documents/widget_doc.xsl0000644000175000017500000000275611662000553015741 0ustar jssjss

Veusz widget API

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Setting API nameDisplay name DescriptionTypeDefault Choice
veusz-1.21.1/Documents/manual.xml0000664000175000017500000031304412263564313015104 0ustar jssjss Veusz - a scientific plotting package Jeremy Sanders jeremy@jeremysanders.net 2014 This document is licensed under the GNU General Public License, version 2 or greater. Please see the file COPYING for details, or see . Introduction
Veusz Veusz is a scientific plotting package. It was designed to be easy to use, easily extensible, but powerful. The program features a graphical user interface, which works under Unix/Linux, Windows or Mac OS X. It can also be easily scripted (the saved file formats are similar to Python scripts) or used as module inside Python. Veusz reads data from a number of different types of data file, it can be manually entered, or constructed from other datasets. In Veusz the document is built in an object-oriented fashion, where a document is built up by a number of widgets in a hierarchy. For example, multiple function or xy widgets can be placed inside a graph widget, and many graphs can be placed in a grid widget. The technologies behind Veusz include PyQt (a very easy to use Python interface to Qt, which is used for rendering and the graphical user interface, GUI) and numpy (a package for Python which makes the handling of large datasets easy). Veusz can be extended by the user easily by adding plugins. Support for different data file types can be added with import plugins. Dataset plugins automate the manipulation of datasets. Tools plugins automate the manipulation of the document.
Terminology Here we define some terminology for future use.
Widget A document and its graphs are built up from widgets. These widgets can often by placed within each other, depending on the type of the widget. A widget has children (those widgets placed within it) and its parent. The widgets have a number of different settings which modify their behaviour. These settings are divided into properties, which affect what is plotted and how it is plotted. These would include the dataset being plotted or whether an axis is logarithmic. There are also formatting settings, including the font to be used and the line thickness. In addition they have actions, which perform some sort of activity on the widget or its children, like "fit" for a fit widget. As an aside, using the scripting interface, widgets are specified with a "path", like a file in Unix or Windows. These can be relative to the current widget (do not start with a slash), or absolute (do not start with a slash). Examples of paths include, "/page1/graph1/x", "x" and ".". The widget types include document - representing a complete document. A document can contain pages. In addition it contains a setting giving the page size for the document. page - representing a page in a document. One or more graphs can be placed on a page, or a grid. graph - defining an actual graph. A graph can be placed on a page or within a grid. Contained within the graph are its axes and plotters. A graph can be given a background fill and a border if required. It also has a margin, which specifies how far away from the edge of its parent widget to plot the body of the graph. A graph can contain several axes, at any position on the plot. In addition a graph can use axes defined in parent widgets, shared with other graphs. More than one graph can be placed within in a page. The margins can be adjusted so that they lie within or besides each other. grid - containing one or more graphs. A grid plots graphs in a gridlike fashion. You can specify the number of rows and columns, and the plots are automatically replotted in the chosen arrangement. A grid can contain graphs or axes. If an axis is placed in a grid, it can be shared by the graphs in the grid. axis - giving the scale for plotting data. An axis translates the coordinates of the data to the screen. An axis can be linear or logarithmic, it can have fixed endpoints, or can automatically get them from the plotted data. It also has settings for the axis labels and lines, tick labels, and major and minor tick marks. An axis may be "horizontal" or "vertical" and can appear anywhere on its parent graph or grid. If an axis appears within a grid, then it can be shared by all the graphs which are contained within the grid. The axis-broken widget is an axis sub-type. It is an axis type where there are jumps in the scale of the axis. The axis-function widget allows the user to create an axis where the values are scaled by a monotonic function, allowing non-linear and non-logarithmic axis scales. The widget can also be linked to a different axis via the function. plotters - types of widgets which plot data or add other things on a graph. There is no actual plotter widget which can be added, but several types of plotters listed below. Plotters typically take an axis as a setting, which is the axis used to plot the data on the graph (default x and y). function - a plotter which plots a function on the graph. Functions can be functions of x or y (parametric functions are not done yet!), and are defined in Python expression syntax, which is very close to most other languages. For example "3*x**2 + 2*x - 4". A number of functions are available (e.g. sin, cos, tan, exp, log...). Technically, Veusz imports the numpy package when evaluating, so numpy functions are available. As well as the function setting, also settable is the line type to plot the function, and the number of steps to evaluate the function when plotting. Filling is supported above/below/left/right of the function. xy - a plotter which plots scatter, line, or stepped plots. This versatile plotter takes an x and y dataset, and plots (optional) points, in a chosen marker and colour, connecting them with (optional) lines, and plotting (optional) error bars. An xy plotter can also plot a stepped line, allowing histograms to be plotted (note that it doesn't yet do the binning of the data). The settings for the xy widget are the various attibutes for the points, line and error bars, the datasets to plot, and the axes to plot on. The xy plotter can plot a label next to each dataset, which is either the same for each point or taken from a text dataset. If you wish to leave gaps in a plot, the input value "nan" can be specified in the numeric dataset. fit - fit a function to data. This plotter is a like the function plotter, but allows fitting of the function to data. This is achived by clicking on a "fit" button, or using the "fit" action of the widget. The fitter takes a function to fit containing the unknowns, e.g. "a*x**2 + b*x + c", and initial values for the variables (here a, b and c). It then fits the data (note that at the moment, the fit plotter fits all the data, not just the data that can be seen on the graph) by minimising the chi-squared. In order to fit properly, the y data (or x, if fitting as a function of x) must have a properly defined, preferably symmetric error. If there is none, Veusz assumes the same fractional error everywhere, or symmetrises asymmetric errors. Note that more work is required in this widget, as if a parameter is not well defined by the data, the matrix inversion in the fit will fail. In addition Veusz does not supply estimates for the errors or the final chi-squared in a machine readable way. If the fitting parameters vary significantly from 1, then it is worth "normalizing" them by adding in a factor in the fit equation to bring them to of the order of 1. bar - a bar chart which plots sets of data as horizontal or vertical bars. Multiple datasets are supported. In "grouped" mode the bars are placed side-by-side for each dataset. In "stacked" mode the bars are placed on top of each other (in the appropriate direction according to the sign of the dataset). Bars are placed on coordinates given, or in integer values from 1 upward if none are given. Error bars are plotted for each of the datasets. Different fill styles can be given for each dataset given. A separate key value can be given for each dataset. key - a box which describes the data plotted. If a key is added to a plot, the key looks for "key" settings of the other data plotted within a graph. If there any it builds up a box containing the symbol and line for the plotter, and the text in the "key" setting of the widget. This allows a key to be very easily added to a plot. The key may be placed in any of the corners of the plot, in the centre, or manually placed. Depending on the ordering of the widgets, the key will be placed behind or on top of the widget. The key can be filled and surrounded by a box, or not filled or surrounded. label - a text label places on a graph. The alignment can be adjusted and the font changed. The position of the label can be specified in fractional terms of the current graph, or using axis coordinates. rect, ellipse - these draw a rectangle or ellipse, respectively, of size and rotation given. These widgets can be placed directly on the page or on a graph. The centre can be given in axis coordinates or fractional coordinates. imagefile - draw an external graphs file on the graph or page, with size and rotation given. The centre can be given in axis coordinates or fractional coordinates. line - draw a line with optional arrowheads on the graph or page. One end can be given in axis coordinates or fractional coordinates. contour - plot contours of a 2D dataset on the graph. Contours are automatically calculated between the minimum and maximum values of the graph or chosen manually. The line style of the contours can be chosen individually and the region between contours can be filled with shading or color. 2D datasets currently consist of a regular grid of values between minimum and maximum positions in x and y. They can be constructed from three 1D datasets of x, y and z if they form a regular x, y grid. image - plot a 2D dataset as a colored image. Different color schemes can be chosen. The scaling between the values and the image can be specified as linear, logarithmic, square-root or square. polygon - plot x and y points from datasets as a polygon. The polygon can be placed directly on the page or within a graph. Coordinates are either plotted using the axis or as fractions of the width and height of the containing widget. boxplot - plot distribution of points in a dataset. polar - plot polar data or functions. This is a non-orthogonal plot and is placed directly on the page rather than in a graph. ternary - plot data of three variables which add up to 100 per cent.This is a non-orthogonal plot and is placed directly on the page rather than in a graph.
Settings: properties and formatting The various settings of the widgets come in a number of types, including integers (e.g. 10), floats (e.g. 3.14), dataset names ("mydata"), expressions ("x+y"), text ("hi there!"), distances (see above), options ("horizontal" or "vertical" for axes). Veusz performs type checks on these parameters. If they are in the wrong format the control to edit the setting will turn red. In the command line, a TypeError exception is thrown. In the GUI, the current page is replotted if a setting is changed when enter is pressed or the user moves to another setting. The settings are split up into formatting settings, controlling the appearance of the plot, or properties, controlling what is plotted and how it is plotted. Default settings, including the default font and line style, and the default settings for any graph widget, can be modified in the "Default styles" dialog box under the "Edit" menu. Default settings are set on a per-document basis, but can be saved into a separate file and loaded. A default default settings file can be given to use for new documents (set in the preferences dialog).
<anchor id="TextFonts" />Text Veusz understands a limited set of LaTeX-like formatting for text. There are some differences (for example, "10^23" puts the 2 and 3 into superscript), but it is fairly similar. You should also leave out the dollar signs. Veusz supports superscripts ("^"), subscripts ("_"), brackets for grouping attributes are "{" and "}". Supported LaTeX symbols include: \AA, \Alpha, \Beta, \Chi, \Delta, \Epsilon, \Eta, \Gamma, \Iota, \Kappa, \Lambda, \Mu, \Nu, \Omega, \Omicron, \Phi, \Pi, \Psi, \Rho, \Sigma, \Tau, \Theta, \Upsilon, \Xi, \Zeta, \alpha, \approx, \ast, \asymp, \beta, \bowtie, \bullet, \cap, \chi, \circ, \cup, \dagger, \dashv, \ddagger, \deg, \delta, \diamond, \divide, \doteq, \downarrow, \epsilon, \equiv, \eta, \gamma, \ge, \gg, \in, \infty, \int, \iota, \kappa, \lambda, \le, \leftarrow, \lhd, \ll, \models, \mp, \mu, \neq, \ni, \nu, \odot, \omega, \omicron, \ominus, \oplus, \oslash, \otimes, \parallel, \perp, \phi, \pi, \pm, \prec, \preceq, \propto, \psi, \rhd, \rho, \rightarrow, \sigma, \sim, \simeq, \sqrt, \sqsubset, \sqsubseteq, \sqsupset, \sqsupseteq, \star, \stigma, \subset, \subseteq, \succ, \succeq, \supset, \supseteq, \tau, \theta, \times, \umid, \unlhd, \unrhd, \uparrow, \uplus, \upsilon, \vdash, \vee, \wedge, \xi, \zeta. Please request additional characters if they are required (and exist in the unicode character set). Special symbols can be included directly from a character map. Other LaTeX commands are supported. "\\" breaks a line. This can be used for simple tables. For example "{a\\b} {c\\d}" shows "a c" over "b d". The command "\frac{a}{b}" shows a vertical fraction a/b. Also supported are commands to change font. The command "\font{name}{text}" changes the font text is written in to name. This may be useful if a symbol is missing from the current font, e.g. "\font{symbol}{g}" should produce a gamma. You can increase, decrease, or set the size of the font with "\size{+2}{text}", "\size{-2}{text}", or "\size{20}{text}". Numbers are in points. Various font attributes can be changed: for example, "\italic{some italic text}" (or use "\textit" or "\emph"), "\bold{some bold text}" (or use "\textbf") and "\underline{some underlined text}". Example text could include "Area / \pi (10^{-23} cm^{-2})", or "\pi\bold{g}". Veusz plots these symbols with Qt's unicode support. You can also include special characters directly, by copying and pasting from a character map application. If your current font does not contain these symbols then you may get a box character.
Measurements Distances, widths and lengths in Veusz can be specified in a number of different ways. These include absolute distances specified in physical units, e.g. 1cm, 0.05m, 10mm, 5in and 10pt, and relative units, which are relative to the largest dimension of the page, including 5%, 1/20, 0.05.
Axis numeric scales The way in which numbers are formatted in axis scales is chosen automatically. For standard numerical axes, values are shown with the "%Vg" formatting (see below). For date axes, an appropriate date formatting is used so that the interval shown is correct. A format can be given for an axis in the axis number formatting panel can be given to explicitly choose a format. Some examples are given in the drop down axis menu. Hold the mouse over the example for detail. C-style number formatting is used with a few Veusz specific extensions. Text can be mixed with format specifiers, which start with a "%" sign. Examples of C-style formatting include: "%.2f" (decimal number with two decimal places, e.g. 2.01), "%.3e" (scientific formatting with three decimal places, e.g. 2.123e-02), "%g" (general formatting, switching between "%f" and "%e" as appropriate). See for details. Veusz extensions include "%Ve", which is like "%e" except it displays scientific notation as written, e.g. 1.2x10^23, rather than 1.2e+23. "%Vg" switches between standard numbers and Veusz scientific notation for large and small numbers. "%VE" using engineering SI suffixes to represent large or small numbers (e.g. 1000 is 1k). Veusz allows dates and times to be formatted using "%VDX" where "X" is one of the formatting characters for strftime (see for details). These include "a" for an abbreviated weekday name, "A" for full weekday name, "b" for abbreviated month name, "B" for full month name, "c" date and time representaiton, "d" day of month 01..31, "H" hour as 00..23, "I" hour as 01..12, "j" as day of year 001..366, "m" as month 01..12, "M" minute as 00..59, "p" AM/PM, "S" second 00..61, "U" week number of year 00..53 (Sunday as first day of week), "w" weekday as decimal number 0..6, "W" week number of year (Monday as first day of week), "x" date representation, "X" time representation, "y" year without century 00..99 and "Y" year. "%VDVS" is a special Veusz addon format which shows seconds and fractions of seconds (e.g. 12.2).
Installation Please look at the Installation notes (INSTALL) for details on installing Veusz.
The main window You should see the main window when you run Veusz (you can just type the veusz command in Unix). The Veusz window is split into several sections. At the top is the menu bar and tool bar. These work in the usual way to other applications. Sometimes options are disabled (greyed out) if they do not make sense to be used. If you hold your mouse over a button for a few seconds, you will usually get an explanation for what it does called a "tool tip". Below the main toolbar is a second toolbar for constructing the graph by adding widgets (on the left), and some editing buttons. The add widget buttons add the request widget to the currently selected widget in the selection window. The widgets are arranged in a tree-like structure. Below these toolbars and to the right is the plot window. This is where the current page of the current document is shown. You can adjust the size of the plot on the screen (the zoom factor) using the "View" menu or the zoom tool bar button (the magnifying glass). Initially you will not see a plot in the plot window, but you will see the Veusz logo. At the moment you cannot do much else with the window. In the future you will be able to click on items in the plot to modify them. To the left of the plot window is the selection window, and the properties and formatting windows. The properties window lets you edit various aspects of the selected widget (such as the minimum and maximum values on an axis). Changing these values should update the plot. The formatting lets you modify the appearance of the selected widget. There are a series of tabs for choosing what aspect to modify. The various windows can be "dragged" from the main window to "float" by themselves on the screen. To the bottom of the window is the console. This window is not shown by default, but can be enabled in the View menu. The console is a Veusz and Python command line console. To read about the commands available see Commands. As this is a Python console, you can enter mathematical expressions (e.g. "1+2.0*cos(pi/4)") here and they will be evaluated when you press Enter. The usual special functions and the operators are supported. You can also assign results to variables (e.g. "a=1+2") for use later. The console also supports command history like many Unix shells. Press the up and down cursor keys to browse through the history. Command line completion is not available yet! There also exists a dataset browsing window, by default to the right of the screen. This window allows you to view the datasets currently loaded, their dimensions and type. Hovering a mouse over the size of the dataset will give you a preview of the data.
My first plot After opening Veusz, on the left of the main window, you will see a Document, containing a Page, which contains a Graph with its axes. The Graph is selected in the selection window. The toolbar above adds a new widget to the selected widget. If a widget cannot be added to a selected widget it is disabled. On opening a new document Veusz automatically adds a new Page and Graph (with axes) to the document. You will see something like this: Select the x axis which has been added to the document (click on "x" in the selection window). In the properties window you will see a variety of different properties you can modify. For instance you can enter a label for the axis by writing "Area (cm^{2})" in the box next to label and pressing enter. Veusz supports text in LaTeX-like form (without the dollar signs). Other important parameters is the "log" switch which switches between linear and logarithmic axes, and "min" and "max" which allow the user to specify the minimum and maximum values on the axes. The formatting dialog lets you edit various aspects of the graph appearance. For instance the "Line" tab allows you to edit the line of the axis. Click on "Line", then you can then modify its colour. Enter "green" instead of "black" and press enter. Try making the axis label bold. Now you can try plotting a function on the graph. If the graph, or its children are selected, you will then be able to click the "function" button at the top (a red curve on a graph). You will see a straight line (y=x) added to the plot. If you select "function1", you will be able to edit the functional form plotted and the style of its line. Change the function to "x**2" (x-squared). We will now try plotting data on the graph. Go to your favourite text editor and save the following data as test.dat: 1 0.1 -0.12 1.1 0.1 2.05 0.12 -0.14 4.08 0.12 2.98 0.08 -0.1 2.9 0.11 4.02 0.04 -0.1 15.3 1.0 The first three columns are the x data to plot plus its asymmetric errors. The final two columns are the y data plus its symmetric errors. In Veusz, go to the "Data" menu and select "Import". Type the filename into the filename box, or use the "Browse..." button to search for the file. You will see a preview of the data pop up in the box below. Enter "x,+,- y,+-" into the descriptors edit box (note that commas and spaces in the descriptor are almost interchangeable in Veusz 1.6 or newer). This describes the format of the data which describes dataset "x" plus its asymmetric errors, and "y" with its symmetric errors. If you now click "Import", you will see it has imported datasets "x" and "y". To plot the data you should now click on "graph1" in the tree window. You are now able to click on the "xy" button (which looks like points plotted on a graph). You will see your data plotted on the graph. Veusz plots datasets "x" and "y" by default, but you can change these in the properties of the "xy" plotter. You are able to choose from a variety of markers to plot. You can remove the plot line by choosing the "Plot Line" subsetting, and clicking on the "hide" option. You can change the colour of the marker by going to the "Marker Fill" subsetting, and entering a new colour (e.g. red), into the colour property.
Reading data Currently Veusz supports reading data from files with text, CSV, HDF5, FITS, 2D text or CSV, QDP, binary and NPY/NPZ formats. Use the DataImport dialog to read data, or the importing commands in the API can be used. In addition, the user can load or write import plugins in Python which load data into Veusz in an arbitrary format. At the moment QDP, binary and NPY/NPZ files are supported with this method. The HDF5 file format is the most sophisticated, and is recommended for complex datasets. By default, data are "linked" to the file imported from. This means that the data are not stored in the Veusz saved file and are reloaded from the original data file when opening. In addition, the user can use the DataReload menu option to reload data from linked files. Unselect the linked option when importing to remove the association with the data file and to store the data in the Veusz saved document. Note that a prefix and suffix can be given when importing. These are added to the front or back of each dataset name imported. They are convenient for grouping data together. We list the various types of import below.
Standard text import The default text import operates on simple text files. The data are assumed to be in columns separated by whitespace. Each column corresponds to dataset (or its error bars). Each row is an entry in the dataset. The way the data are read is goverened by a simple "descriptor". This can simply be a list of dataset names separated by spaces. If no descriptor is given, the columns are treated as separate datasets and are given names col1, col2, etc. Veusz attempts to automatically determine the type of the data. When reading in data, Veusz treats any whitespace as separating columns. The columns do not actually need to be aligned. Furthermore a "\" symbol can be placed at the end of a line to mark a continuation. Veusz will read the next line as if it were placed at the end of the current line. In addition comments and blank lines are ignored (unless in block mode). Comments start with a "#", ";", "!" or "%", and continue until the end of the line. The special value "nan" can be used to specify a break in a dataset. If the option to read data in blocks is enabled, Veusz treats blank lines (or lines starting with the word "no") as block separators. For each dataset in the descriptor, separate datasets are created for each block, using a numeric suffix giving the block number, e.g. _1, _2.
Data types in text import Veusz supports reading in several types of data. The type of data can be added in round brackets after the name in the descriptor. Veusz will try to guess the type of data based on the first value, so you should specify it if there is any form of ambiguity (e.g. is 3 text or a number). Supported types are numbers (use numeric in brackets) and text (use text in brackets). An example descriptor would be "x(numeric) +- y(numeric) + - label(text)" for an x dataset followed by its symmetric errors, a y dataset followed by two columns of asymmetric errors, and a final column of text for the label dataset. A text column does not need quotation unless it contains space characters or escape characters. However make sure you deselect the "ignore text" option in the import dialog. This ignores lines of text to ease the import of data from other applications. Quotation marks are recommended around text if you wish to avoid ambiguity. Text is quoted according to the Python rules for text. Double or single quotation marks can be used, e.g. "A 'test'", 'A second "test"'. Quotes can be escaped by prefixing them with a backslash, e.g. "A new \"test\"". If the data are generated from a Python script, the repr function provides the text in a suitable form. Dates and times are also supported with the syntax "dataset(date)". Dates must be in ISO format YYYY-MM-DD. Times are in 24 hour format hh:mm:ss.ss. Dates with times are written YYYY-MM-DDThh:mm:ss.ss (this is a standard ISO format, see ). Dates are stored within Veusz as a number which is the number of seconds since the start of January 1st 2009. Veusz also supports dates and times in the local format, though take note that the same file and data may not work on a system in a different location.
Descriptors A list of datasets, or a "Descriptor", is given in the Import dialog to describe how the data are formatted in the import file. The descriptor at its simplest is a space or comma-separated list of the names of the datasets to import. These are columns in the file. Following a dataset name the text "+", "-", or "+-" can be given to say that the following column is a positive error bar, negative error bar or symmetric error bar for the previous (non error bar) dataset. These symbols should be separated from the dataset name or previous symbol with a space or a comma symbol. In addition, if multiple numbered columns should be imported, the dataset name can be followed by square brackets containing a range in the form "[a:b]" to number columns a to b, or [:] to number remaining columns. See below for examples of this use. Dataset names can contain virtually any character, even unicode characters. If the name contains non alpha-numeric characters (characters outside of A-Z, a-z and 0-9), then the dataset name should be contained within back-tick characters. An example descriptor is `length data (m)`,+- `speed (mps)`,+,-, for two datasets with spaces and brackets in their names. Instead of specifying the descriptor in the Import dialog, the descriptor can be placed in the data file using a descriptor statement on a separate line, consisting of "descriptor" followed by the descriptor. Multiple descriptors can be placed in a single file, for example: # here is one section descriptor x,+- y,+,- 1 0.5 2 0.1 -0.1 2 0.3 4 0.2 -0.1 # my next block descriptor alpha beta gamma 1 2 3 4 5 6 7 8 9 # etc...
Descriptor examples x y two columns are present in the file, they will be read in as datasets "x" and "y". x,+- y,+,- or x +- y + - two datasets are in the file. Dataset "x" consists of the first two columns. The first column are the values and the second are the symmetric errors. "y" consists of three columns (note the comma between + and -). The first column are the values, the second positive asymmetric errors, and the third negative asymmetric errors. Suppose the input file contains: 1.0 0.3 2 0.1 -0.2 1.5 0.2 2.3 2e-2 -0.3E0 2.19 0.02 5 0.1 -0.1 Then x will contain "1+-0.3", "1.5+-0.2", "2.19+-0.02". y will contain "2 +0.1 -0.2", "2.3 +0.02 -0.3", "5 +0.1 -0.1". x[1:2] y[:] the first column is the data "x_1", the second "x_2". Subsequent columns are read as "y[1]" to "y[n]". y[:]+- read each pair of columns as a dataset and its symmetric error, calling them "y[1]" to "y[n]". foo,,+- read the first column as the foo dataset, skip a column, and read the third column as its symmetric error.
CSV files CVS (comma separated variable) files are often written from other programs, such as spreadsheets, including Excel and Gnumeric. Veusz supports reading from these files. In the import dialog choose "CSV", then choose a filename to import from. In the CSV file the user should place the data in either rows or columns. Veusz will use a name above a column or to the left of a row to specify what the dataset name should be. The user can use new names further down in columns or right in rows to specify a different dataset name. Names do not have to be used, and Veusz will assign default "col" and "row" names if not given. You can also specify a prefix which is prepended to each dataset name read from the file. To specify symmetric errors for a column, put "+-" as the dataset name in the next column or row. Asymmetric errors can be stated with "+" and "-" in the columns. The data type in CSV files are automatically detected unless specified. The data type can be given in brackets after the column name, e.g. "name (text)", where the data type is "date", "numeric" or "text". Explicit data types are needed if the data look like a different data type (e.g. a text item of "1.23"). The date format in CSV files can be specified in the import dialog box - see the examples given. In addition CSV files support numbers in European format (e.g. 2,34 rather than 2.34), depending on the setting in the dialog box.
HDF5 files HDF5 is a flexible data format. Datasets and tables can be stored in a hierarchical arrangements of groups within a file. Veusz supports reading 1D numeric, text, date-time or 2D numeric data from HDF files. The h5py Python module must be installed to use HDF5 files (included in binary releases). In the import dialog box, choose which individual datasets to import, or selecting a group to import all the datasets within the group. If selecting a group, datasets in the group incompatible with Veusz are ignored. A name can be provided for each dataset imported by entering one under "Import as". If one is not given, the dataset or column name is used. The name can also be specified by setting the HDF5 dataset attribute vsz_name to the name. Note that for compound datasets (tables), vsz_ attributes for columns are given by appending the suffix _columnname to the attribute.
Error bars Error bars are supported in two ways. The first way is to combine 1D datasets. For the datasets which are error bars, use a name which is the same as the main dataset but with the suffix "(+-)", "(+)" or "(-)", for symmetric, postive or negative error bars, respectively. The second method is to use a 2D dataset with two or three columns, for symmetric or asymmetric error bars, respectively. Click on the dataset in the dialog and choose the option to import as a 1D dataset. This second method can also be enabled by adding an HDF5 attribute vsz_twod_as_oned set to a non-zero value for the dataset.
Slices As Veusz only supports 1D and 2D datasets, you may wish to reduce the dimensions of a dataset before importing by slicing. You can also give a slice to import a subset of a dataset. When importing, in the slice column you can give a slice expression. This should have the same number of entries as the dataset has dimensions, separated by commas. An entry can be a single number, to select a particular row or column. Alternatively it could be an expression like a:b:c or a:b, where a is the starting index, b is one beyond the stopping index and optionally c is the step size. A slice can also be specified by providing an HDF5 attribute vsz_slice for the dataset.
2D data ranges 2D data have an associated X and Y range. By default the number of pixels of the image are used to give this range. A range can be specified by clicking on the dataset and entering a minimum and maximum X and Y coordinates. Alternatively, provide the HDF5 attribute for the dataset vsz_range, which should be set to an array of four values (minimum x, minimum y, maximum x, maximum y).
Dates Date/time datasets can be made from a 1D numeric dataset or from a text dataset. For the 1D dataset, use the number of seconds relative to the start of the year 2009 (this is Veusz format) or the year 1970 (this is Unix format). In the import dialog, click on the name of the dataset and choose the date option. To specify a date format in the HDF5 file, set the attribute vsz_convert_datetime to either veusz or unix. For text datasets, dates must be given in the right format, selected in the import dialog after clicking on the dataset name. As in other file formats, by default Veusz uses ISO 8601 format, which looks like "2013-12-22T21:08:07", where the date and time parts are optional. The T is also optional. You can also provide your own format when importing by giving a date expression using YYYY, MM, DD, hh, mm and ss (e.g. "YYYY-MM-DD|T|hh:mm:ss"), where vertical bars mark optional parts of the expression. To automate this, set the attribute vsz_convert_datetime to the format expression or iso to specify ISO format.
2D text or CSV format Veusz can import 2D data from standard text or CSV files. In this case the data should consist of a matrix of data values, with the columns separated by one or more spaces or tabs and the rows on different lines. In addition to the data the file can contain lines at the top which affect the import. Such specifiers are used, for example, to change the coordinates of the pixels in the file. By default the first pixels coordinates is between 0 and 1, with the centre at 0.5. Subsequent pixels are 1 greater. When using specifiers in CSV files, put the different parts (separated by spaces) in separate columns. Below are listed the specifiers: xrange A B - make the 2D dataset span the coordinate range A to B in the x-axis (where A and B are numbers). Note that the range is inclusive, so a 1 pixel wide image with A=0 and B=1 would have the pixel centre at 0.5. The pixels are assumed to have the same spacing. Do not use this as the same time as the xedge or xcent options. yrange A B - make the 2D dataset span the coordinate range A to B in the y-axis (where A and B are numbers). xedge A B C... - rather than assume the pixels have the same spacing, give the coordinates of the edges of the pixels in the x-axis. The numbers should be space-separated and there should be one more number than pixels. Do not give xrange or xcent if this is given. yedge A B C... - rather than assume the pixels have the same spacing, give the coordinates of the edges of the pixels in the y-axis. xcent A B C... - rather than give a total range or pixel edges, give the centres of the pixels. There should be the same number of values as pixels in the image. Do not give xrange or xedge if this is given. ycent A B C... - rather than give a total range or pixel edges, give the centres of the pixels. invertrows - invert the rows after reading the data. invertcols - invert the columns after reading the data. transpose - swap rows and columns after importing data. gridatedge - the first row and leftmost column give the positions of the centres of the pixels. This is also an option in the import dialog. The values should be increasing.
FITS files 1D or 2D data can be read from FITS files. 1D data, with optional errors bars, can be read from table extensions, and 2D data from image or primary extensions. Note that pyfits or astropy must be installed to get FITS support. To read 1D data, choose a tabular HDU for to import from, enter the name to give the imported data, and choose the columns to assign to the data. Multiple sets of data can be read by repeatedly importing. For 2D data, choose an image HDU. Enter the name of the dataset. The data are imported with pixel coordinates by default (i.e. the pixels are numbered with integers). Other modes can be selected under Image WCS mode. These include fractional, where the pixels are numbered between 0 and 1. Pixel (WCS) assigns the pixel coordinate calculated relative to the CRPIX1/2 header keywords. Linear (WCS) uses linear coordinates where the Pixel (WCS) coordinates are multiplied by the respective CDELT1/2 values and added to the CRVAL1/2 values.
Reading other data formats As mentioned above, a user may write some Python code to read a data file or set of data files. To write a plugin which is incorportated into Veusz, see You can also include Python code in an input file to read data, which we describe here. Suppose an input file "in.dat" contains the following data: 1 2 2 4 3 9 4 16 Of course this data could be read using the ImportFile command. However, you could also read it with the following Veusz script (which could be saved to a file and loaded with execfile or Load. The script also places symmetric errors of 0.1 on the x dataset. x = [] y = [] for line in open("in.dat"): parts = [float(i) for i in line.split()] x.append(parts[0]) y.append(parts[1]) SetData('x', x, symerr=0.1) SetData('y', y)
Manipulating datasets Imported datasets can easily be modified in the Data Editor dialog box. This dialog box can also be used to create new datasets from scratch by typing them in. The Data Create dialog box is used to new datasets as a numerical sequence, parametrically or based on other datasets given expressions. If you want to plot a function of a dataset, you often do not have to create a new dataset. Veusz allows to enter expressions directly in many places.
Using dataset plugins Dataset plugins can be used to perform arbitrary manipulation of datasets. Veusz includes several plugins for mathematical operation of data and other dataset manipulations, such as concatenation or splitting. If you wish to write your own plugins look at .
Using expressions to create new datasets For instance, if the user has already imported dataset d, then they can create d2 which consists of d**2. Expressions are in Python numpy syntax and can include the usual mathematical functions. Expressions for error bars can also be given. By appending _data, _serr, _perr or _nerr to the name of the dataset in the expression, the user can base their expression on particular parts of the given dataset (the main data, symmetric errors, positive errors or negative errors). Otherwise the program uses the same parts as is currently being specified. If a dataset name contains non alphanumeric characters, its name should be quoted in the expression in back-tick characters, e.g. `length (cm)`*2. The numpy functionality is particularly useful for doing more complicated expressions. For instance, a conditional expression can be written as where(x<y,x,y) or where(isfinite(x),a,b)). You often do not need to create a new dataset when. For example, with the xy point plotter widget, you can directly enter an expression as the X and Y dataset settings. When you give a direct dataset expression, you can define error bar expressions by separating them by commas, and optionally surrounding them by brackets. For example (a,0.1) plots dataset a as the data, with symmetric errors bars of 0.1. Asymmetric bars are given as (a,a*0.1,-a*0.1).
Linking datasets to expressions A particularly useful feature is to be able to link a dataset to an expression, so if the expression changes the dataset changes with it, like in a spreadsheet.
Splitting data Data can also be chopped in this method, for example using the expression x[10:20], which makes a dataset based on the 11th to 20th item in the x dataset (the ranges are Python syntax, and are zero-based). Negative indices count backwards from the end of the dataset. Data can be skipped using expressions such as data[::2], which skips every other element
Defining new constants or functions User defined constants or functions can be defined in the "Custom definitions" dialog box under the edit menu. Functions can also be imported from external python modules. Custom definitions are defined on a per-document basis, but can be saved or loaded into a file. A default custom definitions file can be set in the preferences dialog box.
Dataset plugins In addition to creating datasets based on expressions, a variety of dataset plugins exist, which make certain operations on datasets much more convenient. See the Data, Operations menu for a list of the default plugins. The user can easily create new plugins. See for details.
Capturing data In addition to the standard data import, data can be captured as it is created from an external program, a network socket or a file or named pipe. When capturing from a file, the behaviour is like the Unix tail -f command, where new lines written to the file are captured. To use the capturing facility, the data must be written in the simple line based standard Veusz text format. Data are whitespace separated, with one value per dataset given on a single line. To capture data, use the dialog box DataCapture. A list of datasets should be given. This is the standard descriptor format. Choose the source of the data, which is either a a filename or named pipe, a network socket to connect to, or a command line for an external program. Capturing ends if the source of the data runs out (for external programs or network sockets) or the finish button is clicked. It can optionally end after a certain number of data lines or when a time period has expired. Normally the data are updated in Veusz when the capturing is finished. There is an option to update the document at intervals, which is useful for monitoring. A plot using the variables will update when the data are updated. Click the Capture button to start the capture. Click Finish or Cancel to stop. Cancelling destroys captured data.
Command line interface
Introduction An alternative way to control Veusz is via its command line interface. As Veusz is a a Python application it uses Python as its scripting language. Therefore you can freely mix Veusz and Python commands on the command line. Veusz can also read in Python scripts from files (see the Load command). When commands are entered in the command prompt in the Veusz window, Veusz supports a simplified command syntax, where brackets following commands names, and commas, can replaced by spaces in Veusz commands (not Python commands). For example, Add('graph', name='foo'), may be entered as Add 'graph' name='foo'. The numpy package is already imported into the command line interface (as "*"), so you do not need to import it first. The command prompt supports history (use the up and down cursor keys to recall previous commands). Most of the commands listed below can be used in the in-program command line interface, using the embedding interface or using veusz_listen. Commands specific to particular modes are documented as such. Veusz also includes a new object-oriented version of the interface, which is documented at .
Commands We list the allowed set of commands below
Action Action('actionname', componentpath='.') Initiates the specified action on the widget (component) given the action name. Actions perform certain automated routines. These include "fit" on a fit widget, and "zeroMargins" on grids.
Add Add('widgettype', name='nameforwidget', autoadd=True, optionalargs) The Add command adds a graph into the current widget (See the To command to change the current position). The first argument is the type of widget to add. These include "graph", "page", "axis", "xy" and "grid". name is the name of the new widget (if not given, it will be generated from the type of the widget plus a number). The autoadd parameter if set, constructs the default sub-widgets this widget has (for example, axes in a graph). Optionally, default values for the graph settings may be given, for example Add('axis', name='y', direction='vertical'). Subsettings may be set by using double underscores, for example Add('xy', MarkerFill__color='red', ErrorBarLine__hide=True). Returns: Name of widget added.
AddCustom AddCustom(type, name, value) Add a custom definition for evaluation of expressions. This can define a constant (can be in terms of other constants), a function of 1 or more variables, or a function imported from an external python module. ctype is "constant", "function" or "import". name is name of constant, or "function(x, y, ...)" or module name. val is definition for constant or function (both are _strings_), or is a list of symbols for a module (comma separated items in a string). If mode is 'appendalways', the custom value is appended to the end of the list even if there is one with the same name. If mode is 'replace', it replaces any existing definition in the same place in the list or is appended otherwise. If mode is 'append', then an existing definition is deleted, and the new one appended to the end.
AddImportPath AddImportPath(directory) Add a directory to the list of directories to try to import data from.
CloneWidget CloneWidget(widget, newparent, newname=None) Clone the widget given, placing the copy in newparent and the name given. newname is an optional new name to give it Returns new widget path.
Close Close() Closes the plotwindow. This is only supported in embedded mode.
CreateHistogram CreateHistogram(inexpr, outbinsds, outvalsds, binparams=None, binmanual=None, method='counts', cumulative = 'none', errors=False) Histogram an input expression. inexpr is input expression. outbinds is the name of the dataset to create giving bin positions. outvalsds is name of dataset for bin values. binparams is None or (numbins, minval, maxval, islogbins). binmanual is None or a list of bin values. method is 'counts', 'density', or 'fractions'. cumulative is to calculate cumulative distributions which is 'none', 'smalltolarge' or 'largetosmall'. errors is to calculate Poisson error bars.
DatasetPlugin DatasetPlugin(pluginname, fields, datasetnames={})> Use a dataset plugin. pluginname: name of plugin to use fields: dict of input values to plugin datasetnames: dict mapping old names to new names of datasets if they are renamed. The new name None means dataset is deleted
EnableToolbar EnableToolbar(enable=True) Enable/disable the zooming toolbar in the plotwindow. This command is only supported in embedded mode or from veusz_listen.
Export Export(filename, color=True, page=0 dpi=100, antialias=True, quality=85, backcolor='#ffffff00', pdfdpi=150, svgtextastext=False) Export the page given to the filename given. The filename must end with the correct extension to get the right sort of output file. Currrenly supported extensions are '.eps', '.pdf', '.svg', '.jpg', '.jpeg', '.bmp' and '.png'. If color is True, then the output is in colour, else greyscale. page is the page number of the document to export (starting from 0 for the first page!). dpi is the number of dots per inch for bitmap output files. antialias - antialiases output if True. quality is a quality parameter for jpeg output. backcolor is the background color for bitmap files, which is a name or a #RRGGBBAA value (red, green, blue, alpha). pdfdpi is the dpi to use when exporting EPS or PDF files. svgtextastext says whether to export SVG text as text, rather than curves.
ForceUpdate ForceUpdate() Force the window to be updated to reflect the current state of the document. Often used when periodic updates have been disabled (see SetUpdateInterval). This command is only supported in embedded mode or from veusz_listen.
Get Get('settingpath') Returns: The value of the setting given by the path. >>> Get('/page1/graph1/x/min') 'Auto'
GetChildren GetChildren(where='.') Returns: The names of the widgets which are children of the path given
GetClick GetClick() Waits for the user to click on a graph and returns the position of the click on appropriate axes. Command only works in embedded mode. Returns: A list containing tuples of the form (axispath, val) for each axis for which the click was in range. The value is the value on the axis for the click.
GetData GetData(name) Returns: For a 1D dataset, a tuple containing the dataset with the name given. The value is (data, symerr, negerr, poserr), with each a numpy array of the same size or None. data are the values of the dataset, symerr are the symmetric errors (if set), negerr and poserr and negative and positive asymmetric errors (if set). If a text dataset, return a list of text elements. If the dataset is a date-time dataset, return a list of Python datetime objects. If the dataset is a 2D dataset return the tuple (data, rangex, rangey), where data is a 2D numpy array and rangex/y are tuples giving the range of the x and y coordinates of the data. data = GetData('x') SetData('x', data[0]*0.1, *data[1:])
GetDataType GetDataType(name) Get type of dataset with name given. Returns '1d' for a 1d dataset, '2d' for a 2d dataset, 'text' for a text dataset and 'datetime' for a datetime dataset.
GetDatasets GetDatasets() Returns: The names of the datasets in the current document.
GPL GPL() Print out the GNU Public Licence, which Veusz is licenced under.
ImportFile ImportFile('filename', 'descriptor', linked=False, prefix='', suffix='', encoding='utf_8', renames={}) Imports data from a file. The arguments are the filename to load data from and the descriptor. The format of the descriptor is a list of variable names representing the columns of the data. For more information see Descriptors. If the linked parameter is set to True, if the document is saved, the data imported will not be saved with the document, but will be reread from the filename given the next time the document is opened. The linked parameter is optional. If prefix and/or suffix are set, then the prefix and suffix are added to each dataset name. If set, renames maps imported dataset names to final dataset names after import. Returns: A tuple containing a list of the imported datasets and the number of conversions which failed for a dataset. Changed in version 0.5: A tuple is returned rather than just the number of imported variables.
ImportFile2D ImportFile2D('filename', datasets, xrange=(a,b), yrange=(c,d), invertrows=True/False, invertcols=True/False, transpose=True/False, prefix='', suffix='', linked=False, encoding='utf8', renames={}) Imports two-dimensional data from a file. The required arguments are the filename to load data from and the dataset name, or a list of names to use. filename is a string which contains the filename to use. datasets is either a string (for a single dataset), or a list of strings (for multiple datasets). The xrange parameter is a tuple which contains the range of the X-axis along the two-dimensional dataset, for example (-1., 1.) represents an inclusive range of -1 to 1. The yrange parameter specifies the range of the Y-axis similarly. If they are not specified, (0, N) is the default, where N is the number of datapoints along a particular axis. invertrows and invertcols if set to True, invert the rows and columns respectively after they are read by Veusz. transpose swaps the rows and columns. If prefix and/or suffix are set, they are prepended or appended to imported dataset names. If set, renames maps imported dataset names to final dataset names after import. If the linked parameter is True, then the datasets are linked to the imported file, and are not saved within a saved document. The file format this command accepts is a two-dimensional matrix of numbers, with the columns separated by spaces or tabs, and the rows separated by new lines. The X-coordinate is taken to be in the direction of the columns. Comments are supported (use "#", "!" or "%"), as are continuation characters ("\"). Separate datasets are deliminated by using blank lines. In addition to the matrix of numbers, the various optional parameters this command takes can also be specified in the data file. These commands should be given on separate lines before the matrix of numbers. They are: xrange A B yrange C D invertrows invertcols transpose
ImportFileCSV ImportFileCSV('filename', readrows=False, dsprefix='', dssuffix='', linked=False, encoding='utf_8', renames={}) This command imports data from a CSV format file. Data are read from the file using the dataset names given at the top of the files in columns. Please see the reading data section of this manual for more information. dsprefix is prepended to each dataset name and dssuffix is added (the prefix option is deprecated and also addeds an underscore to the dataset name). linked specifies whether the data will be linked to the file. renames, if set, provides new names for datasets after import.
ImportFileHDF5 ImportFileHDF5(filename, items, namemap={}, slices={}, twodranges={}, twod_as_oned=set([]), convert_datetime={}, prefix='', suffix='', renames={}, linked=False) Import data from a HDF5 file. items is a list of groups and datasets which can be imported. If a group is imported, all child datasets are imported. namemap maps an input dataset to a veusz dataset name. Special suffixes can be used on the veusz dataset name to indicate that the dataset should be imported specially. 'foo (+)': import as +ve error for dataset foo 'foo (-)': import as -ve error for dataset foo 'foo (+-)': import as symmetric error for dataset foo slices is an optional dict specifying slices to be selected when importing. For each dataset to be sliced, provide a tuple of values, one for each dimension. The values should be a single integer to select that index, or a tuple (start, stop, step), where the entries are integers or None. twodranges is an optional dict giving data ranges for 2d datasets. It maps names to (minx, miny, maxx, maxy). twod_as_oned: optional set containing 2d datasets to attempt to read as 1d convert_datetime should be a dict mapping hdf name to specify date/time importing. For a 1d numeric dataset: if this is set to 'veusz', this is the number of seconds since 2009-01-01, if this is set to 'unix', this is the number of seconds since 1970-01-01. For a text dataset, this should give the format of the date/time, e.g. 'YYYY-MM-DD|T|hh:mm:ss' or 'iso' for iso format. renames is a dict mapping old to new dataset names, to be renamed after importing. linked specifies that the dataset is linked to the file. Attributes can be used in datasets to override defaults: 'vsz_name': set to override name for dataset in veusz 'vsz_slice': slice on importing (use format "start:stop:step,...") 'vsz_range': should be 4 item array to specify x and y ranges: [minx, miny, maxx, maxy] 'vsz_twod_as_oned': treat 2d dataset as 1d dataset with errors 'vsz_convert_datetime': treat as date/time, set to one of the values above. For compound datasets these attributes can be given on a per-column basis using attribute names vsz_attributename_columnname. Returns: list of imported datasets
ImportFilePlugin ImportFilePlugin('pluginname', 'filename', **pluginargs, linked=False, encoding='utf_8', prefix='', suffix='', renames={}) Import data from file using import plugin 'pluginname'. The arguments to the plugin are given, plus optionally a text encoding, and prefix and suffix to prepend or append to dataset names. renames, if set, provides new names for datasets after import.
ImportFITSFile ImportFITSFile(datasetname, filename, hdu, datacol='A', symerrcol='B', poserrcol='C', negerrcol='D', linked=True/False, renames={}) This command does a simple import from a FITS file. The FITS format is used within the astronomical community to transport binary data. For a more powerful FITS interface, you can use PyFITS within your scripts. The datasetname is the name of the dataset to import, the filename is the name of the FITS file to import from. The hdu parameter specifies the HDU to import data from (numerical or a name). If the HDU specified is a primary HDU or image extension, then a two-dimensional dataset is loaded from the file. The optional parameters (other than linked) are ignored. Any WCS information within the HDU are used to provide a suitable xrange and yrange. If the HDU is a table, then the datacol parameter must be specified (and optionally symerrcol, poserrcol and negerrcol). The dataset is read in from the named column in the table. Any errors are read in from the other specified columns. If linked is True, then the dataset is not saved with a saved document, but is reread from the data file each time the document is loaded. renames, if set, provides new names for datasets after import.
ImportString ImportString('descriptor', 'data') Like, ImportFile, but loads the data from the specfied string rather than a file. This allows data to be easily embedded within a document. The data string is usually a multi-line Python string. Returns: A tuple containing a list of the imported datasets and the number of conversions which failed for a dataset. Changed in version 0.5: A tuple is returned rather than just the number of imported variables. ImportString('x y', ''' 1 2 2 5 3 10 ''')
ImportString2D ImportString2D(datasets, string) Imports a two-dimensional dataset from the string given. This is similar to the ImportFile2D command, with the same dataset format within the string. This command, however, does not currently take any optional parameters. The various controlling parameters can be set within the string. See the ImportFile2D section for details.
IsClosed IsClosed() Returns a boolean value telling the caller whether the plotting window has been closed. Note: this command is only supported in the embedding interface.
List List(where='.') List the widgets which are contained within the widget with the path given, the type of widgets, and a brief description.
Load Load('filename.vsz') Loads the veusz script file given. The script file can be any Python code. The code is executed using the Veusz interpreter. Note: this command is only supported at the command line and not in a script. Scripts may use the python execfile function instead.
MoveToPage MoveToPage(pagenum) Updates window to show the page number given of the document. Note: this command is only supported in the embedding interface or veusz_listen.
ReloadData ReloadData() Reload any datasets which have been linked to files. Returns: A tuple containing a list of the imported datasets and the number of conversions which failed for a dataset.
Rename Remove('widgetpath', 'newname') Rename the widget at the path given to a new name. This command does not move widgets. See To for a description of the path syntax. '.' can be used to select the current widget.
Remove Remove('widgetpath') Remove the widget selected using the path. See To for a description of the path syntax.
ResizeWindow ResizeWindow(width, height) Resizes window to be width by height pixels. Note: this command is only supported in the embedding interface or veusz_listen.
Save Save('filename.vsz') Save the current document under the filename given.
Set Set('settingpath', val) Set the setting given by the path to the value given. If the type of val is incorrect, an InvalidType exception is thrown. The path to the setting is the optional path to the widget the setting is contained within, an optional subsetting specifier, and the setting itself. Set('page1/graph1/x/min', -10.)
SetAntiAliasing SetAntiAliasing(on) Enable or disable anti aliasing in the plot window, replotting the image.
SetData SetData(name, val, symerr=None, negerr=None, poserr=None) Set the dataset name with the values given. If None is given for an item, it will be left blank. val is the actual data, symerr are the symmetric errors, negerr and poserr and the getative and positive asymmetric errors. The data can be given as lists or numpys.
SetDataExpression SetDataExpression(name, val, symerr=None, negerr=None, poserr=None, linked=False, parametric=None) Create a new dataset based on the expressions given. The expressions are Python syntax expressions based on existing datasets. If linked is True, the dataset will change as the datasets in the expressions change. Parametric can be set to a tuple of (minval, maxval, numitems). t in the expression will iterate from minval to maxval in numitems values.
SetDataRange SetDataRange(name, numsteps, val, symerr=None, negerr=None, poserr=None, linked=False) Set dataset to be a range of values with numsteps steps. val is tuple made up of (minimum value, maximum value). symerr, negerr and poserr are optional tuples for the error bars. If linked is True, the dataset can be saved in a document as a SetDataRange, otherwise it is expanded to the values which would make it up.
SetData2D SetData2D('name', val, xrange=(A,B), yrange=(C,D), xgrid=[1,2,3...], ygrid=[4,5,6...]) Creates a two-dimensional dataset with the name given. val is either a two-dimensional numpy array, or is a list of lists, with each list in the list representing a row. Do not give xrange if xgrid is set and do not give yrange if ygrid is set, and vice versa. xrange and yrange are optional tuples giving the inclusive range of the X and Y coordinates of the data. xgrid and ygrid are optional lists, tuples or arrays which give the coordinates of the edges of the pixels. There should be one more item in each array than pixels.
SetData2DExpression SetData2DExpression('name', expr, linked=False) Create a 2D dataset based on expressions. name is the new dataset name expr is an expression which should return a 2D array linked specifies whether to permanently link the dataset to the expressions.
SetData2DExpressionXYZ SetData2DExpressionXYZ('name', 'xexpr', 'yexpr', 'zexpr', linked=False) Create a 2D dataset based on three 1D expressions. The x, y expressions need to evaluate to a grid of x, y points, with the z expression as the 2D value at that point. Currently only linear fixed grids are supported. This function is intended to convert calculations or measurements at fixed points into a 2D dataset easily. Missing values are filled with NaN.
SetData2DXYFunc SetData2DXYFunc('name', xstep, ystep, 'expr', linked=False) Construct a 2D dataset using a mathematical expression of "x" and "y". The x values are specified as (min, max, step) in xstep as a tuple, the y values similarly. If linked remains as False, then a real 2D dataset is created, where values can be modified and the data are stored in the saved file.
SetDataDateTime SetDataDateTime('name', vals) Creates a datetime dataset of name given. vals is a list of Python datetime objects.
SetDataText SetDataText(name, val) Set the text dataset name with the values given. val must be a type that can be converted into a Python list. SetDataText('mylabel', ['oranges', 'apples', 'pears', 'spam'])
SetToReference SetToReference(setting, refval) Set setting to match other setting refval always..
SetUpdateInterval SetUpdateInterval(interval) Tells window to update every interval milliseconds at most. The value 0 disables updates until this function is called with a non-zero. The value -1 tells Veusz to update the window every time the document has changed. This will make things slow if repeated changes are made to the document. Disabling updates and using the ForceUpdate command will allow the user to control updates directly. Note: this command is only supported in the embedding interface or veusz_listen.
SetVerbose SetVerbose(v=True) If v is True, then extra information is printed out by commands.
StartSecondView StartSecondView(name = 'window title') In the embedding interface, this method will open a new Embedding interface onto the same document, returning the object. This new window provides a second view onto the document. It can, for instance, show a different page to the primary view. name is a window title for the new window. Note: this command is only supported in the embedding interface.
TagDatasets TagDatasets('tag', ['ds1', 'ds2'...]) Adds the tag to the list of datasets given..
To To('widgetpath') The To command takes a path to a widget and moves to that widget. For example, this may be "/", the root widget, "graph1", "/page1/graph1/x", "../x". The syntax is designed to mimic Unix paths for files. "/" represents the base widget (where the pages reside), and ".." represents the widget next up the tree.
Quit Quit() Quits Veusz. This is only supported in veusz_listen.
WaitForClose WaitForClose() Wait until the plotting window has been closed. Note: this command is only supported in the embedding interface.
Zoom Zoom(factor) Sets the plot zoom factor, relative to a 1:1 scaling. factor can also be "width", "height" or "page", to zoom to the page width, height or page, respectively. This is only supported in embedded mode or veusz_listen.
Security With the 1.0 release of Veusz, input scripts and expressions are checked for possible security risks. Only a limited subset of Python functionality is allowed, or a dialog box is opened allowing the user to cancel the operation. Specifically you cannot import modules, get attributes of Python objects, access globals() or locals() or do any sort of file reading or manipulation. Basically anything which might break in Veusz or modify a system is not supported. In addition internal Veusz functions which can modify a system are also warned against, specifically Print(), Save() and Export(). If you are running your own scripts and do not want to be bothered by these dialogs, you can run veusz with the --unsafe-mode option.
Using Veusz from other programs
Non-Qt Python programs Veusz can be used as a Python module for plotting data. There are two ways to use the module: (1) with an older path-based Veusz commands, used in Veusz saved document files or (2) using an object-oriented interface. With the old style method the user uses a unix-path inspired API to navigate the widget tree and add or manipulate widgets. With the new style interface, the user navigates the tree with attributes of the Root object to access Nodes. The new interface is likely to be easier to use unless you are directly translating saved files.
Older path-based interface """An example embedding program. Veusz needs to be installed into the Python path for this to work (use setup.py) This animates a sin plot, then finishes """ import time import numpy import veusz.embed as veusz # construct a Veusz embedded window # many of these can be opened at any time g = veusz.Embedded('window title') g.EnableToolbar() # construct the plot g.To( g.Add('page') ) g.To( g.Add('graph') ) g.Add('xy', marker='tiehorz', MarkerFill__color='green') # this stops intelligent axis extending g.Set('x/autoExtend', False) g.Set('x/autoExtendZero', False) # zoom out g.Zoom(0.8) # loop, changing the values of the x and y datasets for i in range(10): x = numpy.arange(0+i/2., 7.+i/2., 0.05) y = numpy.sin(x) g.SetData('x', x) g.SetData('y', y) # wait to animate the graph time.sleep(2) # let the user see the final result print "Waiting for 10 seconds" time.sleep(10) print "Done!" # close the window (this is not strictly necessary) g.Close() The embed interface has the methods listed in the command line interface listed in the Veusz manual http://home.gna.org/veusz/docs/manual.html Multiple Windows are supported by creating more than one Embedded object. Other useful methods include: WaitForClose() - wait until window has closed GetClick() - return a list of (axis, value) tuples where the user clicks on a graph ResizeWndow(width, height) - resize window to be width x height pixels SetUpdateInterval(interval) - set update interval in ms or 0 to disable MoveToPage(page) - display page given (starting from 1) IsClosed() - has the page been closed Zoom(factor) - set zoom level (float) or 'page', 'width', 'height' Close() - close window SetAntiAliasing(enable) - enable or disable antialiasing EnableToolbar(enable=True) - enable plot toolbar StartSecondView(name='Veusz') - start a second view onto the document of the current Embedded object. Returns a new Embedded object.
New-style object interface In versions of Veusz >1.8 is a new style of object interface, which makes it easier to construct the widget tree. Each widget, group of settings or setting is stored as a Node object, or its subclass, in a tree. The root document widget can be accessed with the Root object. The dot operator "." finds children inside other nodes. In Veusz some widgets can contain other widgets (Root, pages, graphs, grids). Widgets contain setting nodes, accessed as attributes. Widgets can also contain groups of settings, again accessed as attributes. An example tree for a document (not complete) might look like this Root \-- page1 (page widget) \-- graph1 (graph widget) \-- x (axis widget) \-- y (axis widget) \-- function (function widget) \-- grid1 (grid widget) \-- graph2 (graph widget) \-- xy1 (xy widget) \-- xData (setting) \-- yData (setting) \-- PlotLine (setting group) \-- width (setting) ... ... \-- x (axis widget) \-- y (axis widget) \-- graph3 (graph widget) \-- contour1 (contour widget) \-- x (axis widget) \-- y (axis widget) Here the user could access the xData setting node of the xy1 widget using Root.page1.graph2.xy1.xData. To actually read or modify the value of a setting, you should get or set the val property of the setting node. The line width could be changed like this graph = embed.Root.page1.graph2 graph.xy1.PlotLine.width.val = '2pt' For instance, this constructs a simple x-squared plot which changes to x-cubed: import veusz.embed as veusz import time # open a new window and return a new Embedded object embed = veusz.Embedded('window title') # make a new page, but adding a page widget to the root widget page = embed.Root.Add('page') # add a new graph widget to the page graph = page.Add('graph') # add a function widget to the graph. The Add() method can take a list of settings # to set after widget creation. Here, "function='x**2'" is equivalent to # function.function.val = 'x**2' function = graph.Add('function', function='x**2') time.sleep(2) function.function.val = 'x**3' # this is the same if the widgets have the default names Root.page1.graph1.function1.function.val = 'x**3' If the document contains a page called "page1" then Root.page1 is the object representing the page. Similarly, Root.page1.graph1 is a graph called graph1 in the page. You can also use dictionary-style indexing to get child widgets, e.g. Root['page1']['graph1']. This style is easier to use if the names of widgets contain spaces or if widget names shadow methods or properties of the Node object, i.e. if you do not control the widget names. Widget nodes can contain as children other widgets, groups of settings, or settings. Groups of settings can contain child settings. Settings cannot contain other nodes. Here are the useful operations of Nodes: class Node(object): """properties: path - return path to object in document, e.g. /page1/graph1/function1 type - type of node: "widget", "settinggroup" or "setting" name - name of this node, e.g. "graph1" children - a generator to return all the child Nodes of this Node, e.g. for c in Root.children: print c.path children_widgets - generator to return child widget Nodes of this Node children_settinggroups - generator for child setting groups of this Node children_settings - a generator to get the child settings childnames - return a list of the names of the children of this Node childnames_widgets - return a list of the names of the child widgets childnames_settinggroups - return a list of the names of the setting groups childnames_settings - return a list of the names of the settings parent - return the Node corresponding to the parent widget of this Node __getattr__ - get a child Node with name given, e.g. Root.page1 __getitem__ - get a child Node with name given, e.g. Root['page1'] """ def fromPath(self, path): """Returns a new Node corresponding to the path given, e.g. '/page1/graph1'""" class SettingNode(Node): """A node which corresponds to a setting. Extra properties: val - get or set the setting value corresponding to this value, e.g. Root.page1.graph1.leftMargin.val = '2cm' """ class SettingGroupNode(Node): """A node corresponding to a setting group. No extra properties.""" class WidgetNode(Node): """A node corresponding to a widget. property: widgettype - get Veusz type of widget Methods are below.""" def WalkWidgets(self, widgettype=None): """Generator to walk widget tree and get widgets below this WidgetNode of type given. widgettype is a Veusz widget type name or None to get all widgets.""" def Add(self, widgettype, *args, **args_opt): """Add a widget of the type given, returning the Node instance. """ def Rename(self, newname): """Renames widget to name given. Existing Nodes corresponding to children are no longer valid.""" def Action(self, action): """Applies action on widget.""" def Remove(self): """Removes a widget and its children. Existing Nodes corresponding to children are no longer valid.""" Note that Nodes are temporary objects which are created on the fly. A real widget in Veusz can have several different WidgetNode objects. The operators == and != can test whether a Node points to the same widget, setting or setting group. Here is an example to set all functions in the document to be x**2: for n in Root.WalkWidgets(widgettype='function'): n.function.val = 'x**2'
Translating old to new style Here is an example how you might translate the old to new style interface (this is taken from the sin.vsz example). # old (from saved document file) Add('page', name='page1') To('page1') Add('graph', name='graph1', autoadd=False) To('graph1') Add('axis', name='x') To('x') Set('label', '\\italic{x}') To('..') Add('axis', name='y') To('y') Set('label', 'sin \\italic{x}') Set('direction', 'vertical') To('..') Add('xy', name='xy1') To('xy1') Set('MarkerFill/color', 'cyan') To('..') Add('function', name='function1') To('function1') Set('function', 'sin(x)') Set('Line/color', 'red') To('..') To('..') To('..') # new (in python) import veusz.embed embed = veusz.embed.Embedded('window title') page = embed.Root.Add('page') # note: autoAdd=False stops graph automatically adding own axes (used in saved files) graph = page.Add('graph', autoadd=False) x = graph.Add('axis', name='x') x.label.val = '\\italic{x}' y = graph.Add('axis', name='y') y.direction.val = 'vertical' xy = graph.Add('xy') xy.MarkerFill.color.val = 'cyan' func = graph.Add('function') func.function.val = 'sin(x)' func.Line.color.val = 'red'
PyQt4 programs There is no direct PyQt4 interface. The standard embedding interface should work, however.
Non Python programs Support for non Python programs is available in a limited form. External programs may execute the veusz_listen executable or veusz_listen.py Python module. Veusz will read its input from the standard input, and write output to standard output. This is a full Python execution environment, and supports all the scripting commands mentioned in Commands, a Quit() command, the EnableToolbar() and the Zoom(factor) command listed above. Only one window is supported at once, but many veusz_listen programs may be started. veusz_listen may be used from the shell command line by doing something like: veusz_listen < in.vsz where in.vsz contains: To(Add('page') ) To(Add('graph') ) SetData('x', arange(20)) SetData('y', arange(20)**2) Add('xy') Zoom(0.5) Export("foo.eps") Quit() A program may interface with Veusz in this way by using the popen C Unix function, which allows a program to be started having control of its standard input and output. Veusz can then be controlled by writing commands to an input pipe.
C, C++ and Fortran A callable library interface to Veusz is on my todo list for C, C++ and Fortran. Please tell me if you would be interested in this option.
veusz-1.21.1/Documents/generate_manual.sh0000775000175000017500000000253012260623255016564 0ustar jssjss#!/usr/bin/env bash # Copyright (C) 2009 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## # generate the output manual files from the input docbook file # uses xmlto and fop # DO NOT EDIT THE OUTPUT FILES! # this is pretty ugly xmlto html-nochunks -m config.xsl manual.xml xmlto text manual.xml xmlto fo manual.xml fop manual.fo -pdf manual.pdf release=$(cat ../VERSION) pod2man --release=${release} --center="Veusz" veusz.pod > veusz.1 pod2man --release=${release} --center="Veusz" veusz_listen.pod > veusz_listen.1 veusz-1.21.1/Documents/veusz_listen.10000644000175000017500000001207012275421435015712 0ustar jssjss.\" Automatically generated by Pod::Man 2.25 (Pod::Simple 3.16) .\" .\" Standard preamble: .\" ======================================================================== .de Sp \" Vertical space (when we can't use .PP) .if t .sp .5v .if n .sp .. .de Vb \" Begin verbatim text .ft CW .nf .ne \\$1 .. .de Ve \" End verbatim text .ft R .fi .. .\" Set up some character translations and predefined strings. \*(-- will .\" give an unbreakable dash, \*(PI will give pi, \*(L" will give a left .\" double quote, and \*(R" will give a right double quote. \*(C+ will .\" give a nicer C++. Capital omega is used to do unbreakable dashes and .\" therefore won't be available. \*(C` and \*(C' expand to `' in nroff, .\" nothing in troff, for use with C<>. .tr \(*W- .ds C+ C\v'-.1v'\h'-1p'\s-2+\h'-1p'+\s0\v'.1v'\h'-1p' .ie n \{\ . ds -- \(*W- . ds PI pi . if (\n(.H=4u)&(1m=24u) .ds -- \(*W\h'-12u'\(*W\h'-12u'-\" diablo 10 pitch . if (\n(.H=4u)&(1m=20u) .ds -- \(*W\h'-12u'\(*W\h'-8u'-\" diablo 12 pitch . ds L" "" . ds R" "" . ds C` "" . ds C' "" 'br\} .el\{\ . ds -- \|\(em\| . ds PI \(*p . ds L" `` . ds R" '' 'br\} .\" .\" Escape single quotes in literal strings from groff's Unicode transform. .ie \n(.g .ds Aq \(aq .el .ds Aq ' .\" .\" If the F register is turned on, we'll generate index entries on stderr for .\" titles (.TH), headers (.SH), subsections (.SS), items (.Ip), and index .\" entries marked with X<> in POD. Of course, you'll have to process the .\" output yourself in some meaningful fashion. .ie \nF \{\ . de IX . tm Index:\\$1\t\\n%\t"\\$2" .. . nr % 0 . rr F .\} .el \{\ . de IX .. .\} .\" .\" Accent mark definitions (@(#)ms.acc 1.5 88/02/08 SMI; from UCB 4.2). .\" Fear. Run. Save yourself. No user-serviceable parts. . \" fudge factors for nroff and troff .if n \{\ . ds #H 0 . ds #V .8m . ds #F .3m . ds #[ \f1 . ds #] \fP .\} .if t \{\ . ds #H ((1u-(\\\\n(.fu%2u))*.13m) . ds #V .6m . ds #F 0 . ds #[ \& . ds #] \& .\} . \" simple accents for nroff and troff .if n \{\ . ds ' \& . ds ` \& . ds ^ \& . ds , \& . ds ~ ~ . ds / .\} .if t \{\ . ds ' \\k:\h'-(\\n(.wu*8/10-\*(#H)'\'\h"|\\n:u" . ds ` \\k:\h'-(\\n(.wu*8/10-\*(#H)'\`\h'|\\n:u' . ds ^ \\k:\h'-(\\n(.wu*10/11-\*(#H)'^\h'|\\n:u' . ds , \\k:\h'-(\\n(.wu*8/10)',\h'|\\n:u' . ds ~ \\k:\h'-(\\n(.wu-\*(#H-.1m)'~\h'|\\n:u' . ds / \\k:\h'-(\\n(.wu*8/10-\*(#H)'\z\(sl\h'|\\n:u' .\} . \" troff and (daisy-wheel) nroff accents .ds : \\k:\h'-(\\n(.wu*8/10-\*(#H+.1m+\*(#F)'\v'-\*(#V'\z.\h'.2m+\*(#F'.\h'|\\n:u'\v'\*(#V' .ds 8 \h'\*(#H'\(*b\h'-\*(#H' .ds o \\k:\h'-(\\n(.wu+\w'\(de'u-\*(#H)/2u'\v'-.3n'\*(#[\z\(de\v'.3n'\h'|\\n:u'\*(#] .ds d- \h'\*(#H'\(pd\h'-\w'~'u'\v'-.25m'\f2\(hy\fP\v'.25m'\h'-\*(#H' .ds D- D\\k:\h'-\w'D'u'\v'-.11m'\z\(hy\v'.11m'\h'|\\n:u' .ds th \*(#[\v'.3m'\s+1I\s-1\v'-.3m'\h'-(\w'I'u*2/3)'\s-1o\s+1\*(#] .ds Th \*(#[\s+2I\s-2\h'-\w'I'u*3/5'\v'-.3m'o\v'.3m'\*(#] .ds ae a\h'-(\w'a'u*4/10)'e .ds Ae A\h'-(\w'A'u*4/10)'E . \" corrections for vroff .if v .ds ~ \\k:\h'-(\\n(.wu*9/10-\*(#H)'\s-2\u~\d\s+2\h'|\\n:u' .if v .ds ^ \\k:\h'-(\\n(.wu*10/11-\*(#H)'\v'-.4m'^\v'.4m'\h'|\\n:u' . \" for low resolution devices (crt and lpr) .if \n(.H>23 .if \n(.V>19 \ \{\ . ds : e . ds 8 ss . ds o a . ds d- d\h'-1'\(ga . ds D- D\h'-1'\(hy . ds th \o'bp' . ds Th \o'LP' . ds ae ae . ds Ae AE .\} .rm #[ #] #H #V #F C .\" ======================================================================== .\" .IX Title "VEUSZ_LISTEN 1" .TH VEUSZ_LISTEN 1 "2014-01-09" "1.20.1" "Veusz" .\" For nroff, turn off justification. Always turn off hyphenation; it makes .\" way too many mistakes in technical documents. .if n .ad l .nh .SH "NAME" veusz_listen \- command\-line interface to the Veusz plotting application. .SH "SYNOPSIS" .IX Header "SYNOPSIS" veusz_listen [\fIWindowTitle\fR]... .SH "DESCRIPTION" .IX Header "DESCRIPTION" \&\fBVeusz\fR is a scientific plotting and graphing package. \fBveusz_listen\fR provides a command line interface to its scripting interface. .PP \&\fBveusz_listen\fR opens a new window (with an optional window title) and listens to stdin. It executes Veusz scripting commands, writing any output to stdout. .PP \&\fBveusz_listen\fR is now deprecated. Please use \fBveusz \-\-listen\fR instead. .SH "SEE ALSO" .IX Header "SEE ALSO" \&\fIveusz\fR\|(1) .SH "BUGS" .IX Header "BUGS" Please report bugs at https://gna.org/bugs/?group=veusz .SH "AUTHORS" .IX Header "AUTHORS" \&\fBVeusz\fR was written by Jeremy Sanders . .PP This manual page was written by Jeremy Sanders . .SH "COPYRIGHT" .IX Header "COPYRIGHT" Copyright (C) 2003\-2014 Jeremy Sanders . .PP This program is free software; you can redistribute it and/or modify it under the terms of the \s-1GNU\s0 General Public License as published by the Free Software Foundation; either version 2, or (at your option) any later version. .PP On Debian GNU/Linux systems, the complete text of the \s-1GNU\s0 General Public License can be found in `/usr/share/common\-licenses/GPL'. veusz-1.21.1/Documents/veusz.10000644000175000017500000001527212275421435014343 0ustar jssjss.\" Automatically generated by Pod::Man 2.25 (Pod::Simple 3.16) .\" .\" Standard preamble: .\" ======================================================================== .de Sp \" Vertical space (when we can't use .PP) .if t .sp .5v .if n .sp .. .de Vb \" Begin verbatim text .ft CW .nf .ne \\$1 .. .de Ve \" End verbatim text .ft R .fi .. .\" Set up some character translations and predefined strings. \*(-- will .\" give an unbreakable dash, \*(PI will give pi, \*(L" will give a left .\" double quote, and \*(R" will give a right double quote. \*(C+ will .\" give a nicer C++. Capital omega is used to do unbreakable dashes and .\" therefore won't be available. \*(C` and \*(C' expand to `' in nroff, .\" nothing in troff, for use with C<>. .tr \(*W- .ds C+ C\v'-.1v'\h'-1p'\s-2+\h'-1p'+\s0\v'.1v'\h'-1p' .ie n \{\ . ds -- \(*W- . ds PI pi . if (\n(.H=4u)&(1m=24u) .ds -- \(*W\h'-12u'\(*W\h'-12u'-\" diablo 10 pitch . if (\n(.H=4u)&(1m=20u) .ds -- \(*W\h'-12u'\(*W\h'-8u'-\" diablo 12 pitch . ds L" "" . ds R" "" . ds C` "" . ds C' "" 'br\} .el\{\ . ds -- \|\(em\| . ds PI \(*p . ds L" `` . ds R" '' 'br\} .\" .\" Escape single quotes in literal strings from groff's Unicode transform. .ie \n(.g .ds Aq \(aq .el .ds Aq ' .\" .\" If the F register is turned on, we'll generate index entries on stderr for .\" titles (.TH), headers (.SH), subsections (.SS), items (.Ip), and index .\" entries marked with X<> in POD. Of course, you'll have to process the .\" output yourself in some meaningful fashion. .ie \nF \{\ . de IX . tm Index:\\$1\t\\n%\t"\\$2" .. . nr % 0 . rr F .\} .el \{\ . de IX .. .\} .\" .\" Accent mark definitions (@(#)ms.acc 1.5 88/02/08 SMI; from UCB 4.2). .\" Fear. Run. Save yourself. No user-serviceable parts. . \" fudge factors for nroff and troff .if n \{\ . ds #H 0 . ds #V .8m . ds #F .3m . ds #[ \f1 . ds #] \fP .\} .if t \{\ . ds #H ((1u-(\\\\n(.fu%2u))*.13m) . ds #V .6m . ds #F 0 . ds #[ \& . ds #] \& .\} . \" simple accents for nroff and troff .if n \{\ . ds ' \& . ds ` \& . ds ^ \& . ds , \& . ds ~ ~ . ds / .\} .if t \{\ . ds ' \\k:\h'-(\\n(.wu*8/10-\*(#H)'\'\h"|\\n:u" . ds ` \\k:\h'-(\\n(.wu*8/10-\*(#H)'\`\h'|\\n:u' . ds ^ \\k:\h'-(\\n(.wu*10/11-\*(#H)'^\h'|\\n:u' . ds , \\k:\h'-(\\n(.wu*8/10)',\h'|\\n:u' . ds ~ \\k:\h'-(\\n(.wu-\*(#H-.1m)'~\h'|\\n:u' . ds / \\k:\h'-(\\n(.wu*8/10-\*(#H)'\z\(sl\h'|\\n:u' .\} . \" troff and (daisy-wheel) nroff accents .ds : \\k:\h'-(\\n(.wu*8/10-\*(#H+.1m+\*(#F)'\v'-\*(#V'\z.\h'.2m+\*(#F'.\h'|\\n:u'\v'\*(#V' .ds 8 \h'\*(#H'\(*b\h'-\*(#H' .ds o \\k:\h'-(\\n(.wu+\w'\(de'u-\*(#H)/2u'\v'-.3n'\*(#[\z\(de\v'.3n'\h'|\\n:u'\*(#] .ds d- \h'\*(#H'\(pd\h'-\w'~'u'\v'-.25m'\f2\(hy\fP\v'.25m'\h'-\*(#H' .ds D- D\\k:\h'-\w'D'u'\v'-.11m'\z\(hy\v'.11m'\h'|\\n:u' .ds th \*(#[\v'.3m'\s+1I\s-1\v'-.3m'\h'-(\w'I'u*2/3)'\s-1o\s+1\*(#] .ds Th \*(#[\s+2I\s-2\h'-\w'I'u*3/5'\v'-.3m'o\v'.3m'\*(#] .ds ae a\h'-(\w'a'u*4/10)'e .ds Ae A\h'-(\w'A'u*4/10)'E . \" corrections for vroff .if v .ds ~ \\k:\h'-(\\n(.wu*9/10-\*(#H)'\s-2\u~\d\s+2\h'|\\n:u' .if v .ds ^ \\k:\h'-(\\n(.wu*10/11-\*(#H)'\v'-.4m'^\v'.4m'\h'|\\n:u' . \" for low resolution devices (crt and lpr) .if \n(.H>23 .if \n(.V>19 \ \{\ . ds : e . ds 8 ss . ds o a . ds d- d\h'-1'\(ga . ds D- D\h'-1'\(hy . ds th \o'bp' . ds Th \o'LP' . ds ae ae . ds Ae AE .\} .rm #[ #] #H #V #F C .\" ======================================================================== .\" .IX Title "VEUSZ 1" .TH VEUSZ 1 "2014-01-09" "1.20.1" "Veusz" .\" For nroff, turn off justification. Always turn off hyphenation; it makes .\" way too many mistakes in technical documents. .if n .ad l .nh .SH "NAME" Veusz \- a scientific plotting and graphing application. .SH "SYNOPSIS" .IX Header "SYNOPSIS" veusz [\fIoptions\fR] [\fIdocument.vsz\fR]... .SH "DESCRIPTION" .IX Header "DESCRIPTION" \&\fBVeusz\fR is a scientific plotting and graphing package. It is designed to create publication-ready output in a variety of different output formats. Graphs are built-up combining plotting widgets. Veusz has a \&\s-1GUI\s0 user interface (started with the \f(CW\*(C`veusz\*(C'\fR command), a Python module interface and a scripting interface. .PP If started without command line arguments, \fBVeusz\fR will open up with a new empty document. The program will otherwise open the listed documents. .SH "OPTIONS" .IX Header "OPTIONS" .IP "\fB\-\-unsafe\-mode\fR" 8 .IX Item "--unsafe-mode" Do not check opened scripts for the presence of unsafe Python commands. This allows you to create or open complete Python scripts with Veusz commands if they come from a trusted source. .IP "\fB\-\-listen\fR" 8 .IX Item "--listen" Read Veusz commands from stdin, executing them, then writing the results to stdout. This option is intended to replace the veusz_listen standalone program. .Sp In this mode Veusz does not read any input documents, but will use the first argument to the program as the window title, if given. .IP "\fB\-\-quiet\fR" 8 .IX Item "--quiet" If in listening mode, do not open a window before running commands, but execute them quietly. .IP "\fB\-\-export\fR=\fI\s-1FILE\s0\fR" 8 .IX Item "--export=FILE" Export the next Veusz document file on the command line to the graphics file \fI\s-1FILE\s0\fR. Supported file types include \s-1EPS\s0, \s-1PDF\s0, \s-1SVG\s0, \&\s-1PNG\s0, \s-1BMP\s0, \s-1JPG\s0 and \s-1XPM\s0. The extension of the output file is used to determine the output file format. There should be as many export options specified as input Veusz documents on the command line. .IP "\fB\-\-plugin\fR=\fI\s-1FILE\s0\fR" 8 .IX Item "--plugin=FILE" Loads the Veusz plugin \fI\s-1FILE\s0\fR when starting Veusz. This option provides a per-session alternative to adding the plugin in the preferences dialog box. .IP "\fB\-\-help\fR" 8 .IX Item "--help" Displays the options to the program and exits. .IP "\fB\-\-version\fR" 8 .IX Item "--version" Displays information about the currently installed version and exits. .SH "BUGS" .IX Header "BUGS" Please report bugs at https://gna.org/bugs/?group=veusz .SH "AUTHORS" .IX Header "AUTHORS" \&\fBVeusz\fR was written by Jeremy Sanders . .PP This manual page was written by Jeremy Sanders . .SH "COPYRIGHT" .IX Header "COPYRIGHT" Copyright (C) 2003\-2014 Jeremy Sanders . .PP This program is free software; you can redistribute it and/or modify it under the terms of the \s-1GNU\s0 General Public License as published by the Free Software Foundation; either version 2, or (at your option) any later version. .PP On Debian GNU/Linux systems, the complete text of the \s-1GNU\s0 General Public License can be found in `/usr/share/common\-licenses/GPL'. veusz-1.21.1/Documents/veusz_listen.pod0000664000175000017500000000232212263564313016335 0ustar jssjss=head1 NAME veusz_listen - command-line interface to the B plotting application. =head1 SYNOPSIS veusz_listen [F]... =head1 DESCRIPTION B is a scientific plotting and graphing package. B provides a command line interface to its scripting interface. B opens a new window (with an optional window title) and listens to stdin. It executes Veusz scripting commands, writing any output to stdout. B is now deprecated. Please use B instead. =head1 SEE ALSO veusz(1) =head1 BUGS Please report bugs at https://gna.org/bugs/?group=veusz =head1 AUTHORS B was written by Jeremy Sanders . This manual page was written by Jeremy Sanders . =head1 COPYRIGHT Copyright (C) 2003-2014 Jeremy Sanders . This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2, or (at your option) any later version. On Debian GNU/Linux systems, the complete text of the GNU General Public License can be found in `/usr/share/common-licenses/GPL'. =cut veusz-1.21.1/Documents/manual.html0000644000175000017500000037673712275421417015270 0ustar jssjssVeusz - a scientific plotting package

Veusz - a scientific plotting package

Jeremy Sanders

Copyright 2014

This document is licensed under the GNU General Public License, version 2 or greater. Please see the file COPYING for details, or see http://www.gnu.org/licenses/gpl-2.0.html.

Table of Contents

1. Introduction
1. Veusz
2. Terminology
2.1. Widget
2.2. Settings: properties and formatting
2.3. Text
2.4. Measurements
2.5. Axis numeric scales
3. Installation
4. The main window
5. My first plot
2. Reading data
1. Standard text import
1.1. Data types in text import
1.2. Descriptors
2. CSV files
3. HDF5 files
3.1. Error bars
3.2. Slices
3.3. 2D data ranges
3.4. Dates
4. 2D text or CSV format
5. FITS files
6. Reading other data formats
7. Manipulating datasets
7.1. Using dataset plugins
7.2. Using expressions to create new datasets
7.3. Linking datasets to expressions
7.4. Splitting data
7.5. Defining new constants or functions
7.6. Dataset plugins
8. Capturing data
3. Command line interface
1. Introduction
2. Commands
2.1. Action
2.2. Add
2.3. AddCustom
2.4. AddImportPath
2.5. CloneWidget
2.6. Close
2.7. CreateHistogram
2.8. DatasetPlugin
2.9. EnableToolbar
2.10. Export
2.11. ForceUpdate
2.12. Get
2.13. GetChildren
2.14. GetClick
2.15. GetData
2.16. GetDataType
2.17. GetDatasets
2.18. GPL
2.19. ImportFile
2.20. ImportFile2D
2.21. ImportFileCSV
2.22. ImportFileHDF5
2.23. ImportFilePlugin
2.24. ImportFITSFile
2.25. ImportString
2.26. ImportString2D
2.27. IsClosed
2.28. List
2.29. Load
2.30. MoveToPage
2.31. ReloadData
2.32. Rename
2.33. Remove
2.34. ResizeWindow
2.35. Save
2.36. Set
2.37. SetAntiAliasing
2.38. SetData
2.39. SetDataExpression
2.40. SetDataRange
2.41. SetData2D
2.42. SetData2DExpression
2.43. SetData2DExpressionXYZ
2.44. SetData2DXYFunc
2.45. SetDataDateTime
2.46. SetDataText
2.47. SetToReference
2.48. SetUpdateInterval
2.49. SetVerbose
2.50. StartSecondView
2.51. TagDatasets
2.52. To
2.53. Quit
2.54. WaitForClose
2.55. Zoom
3. Security
4. Using Veusz from other programs
1. Non-Qt Python programs
1.1. Older path-based interface
1.2. New-style object interface
1.3. Translating old to new style
2. PyQt4 programs
3. Non Python programs
4. C, C++ and Fortran

Chapter1.Introduction

Table of Contents

1. Veusz
2. Terminology
2.1. Widget
2.2. Settings: properties and formatting
2.3. Text
2.4. Measurements
2.5. Axis numeric scales
3. Installation
4. The main window
5. My first plot

1.Veusz

Veusz is a scientific plotting package. It was designed to be easy to use, easily extensible, but powerful. The program features a graphical user interface, which works under Unix/Linux, Windows or Mac OS X. It can also be easily scripted (the saved file formats are similar to Python scripts) or used as module inside Python. Veusz reads data from a number of different types of data file, it can be manually entered, or constructed from other datasets.

In Veusz the document is built in an object-oriented fashion, where a document is built up by a number of widgets in a hierarchy. For example, multiple function or xy widgets can be placed inside a graph widget, and many graphs can be placed in a grid widget.

The technologies behind Veusz include PyQt (a very easy to use Python interface to Qt, which is used for rendering and the graphical user interface, GUI) and numpy (a package for Python which makes the handling of large datasets easy). Veusz can be extended by the user easily by adding plugins. Support for different data file types can be added with import plugins. Dataset plugins automate the manipulation of datasets. Tools plugins automate the manipulation of the document.

2.Terminology

Here we define some terminology for future use.

2.1.Widget

A document and its graphs are built up from widgets. These widgets can often by placed within each other, depending on the type of the widget. A widget has children (those widgets placed within it) and its parent. The widgets have a number of different settings which modify their behaviour. These settings are divided into properties, which affect what is plotted and how it is plotted. These would include the dataset being plotted or whether an axis is logarithmic. There are also formatting settings, including the font to be used and the line thickness. In addition they have actions, which perform some sort of activity on the widget or its children, like "fit" for a fit widget.

As an aside, using the scripting interface, widgets are specified with a "path", like a file in Unix or Windows. These can be relative to the current widget (do not start with a slash), or absolute (do not start with a slash). Examples of paths include, "/page1/graph1/x", "x" and ".".

The widget types include

  1. document - representing a complete document. A document can contain pages. In addition it contains a setting giving the page size for the document.

  2. page - representing a page in a document. One or more graphs can be placed on a page, or a grid.

  3. graph - defining an actual graph. A graph can be placed on a page or within a grid. Contained within the graph are its axes and plotters. A graph can be given a background fill and a border if required. It also has a margin, which specifies how far away from the edge of its parent widget to plot the body of the graph.

    A graph can contain several axes, at any position on the plot. In addition a graph can use axes defined in parent widgets, shared with other graphs.

    More than one graph can be placed within in a page. The margins can be adjusted so that they lie within or besides each other.

  4. grid - containing one or more graphs. A grid plots graphs in a gridlike fashion. You can specify the number of rows and columns, and the plots are automatically replotted in the chosen arrangement. A grid can contain graphs or axes. If an axis is placed in a grid, it can be shared by the graphs in the grid.

  5. axis - giving the scale for plotting data. An axis translates the coordinates of the data to the screen. An axis can be linear or logarithmic, it can have fixed endpoints, or can automatically get them from the plotted data. It also has settings for the axis labels and lines, tick labels, and major and minor tick marks.

    An axis may be "horizontal" or "vertical" and can appear anywhere on its parent graph or grid.

    If an axis appears within a grid, then it can be shared by all the graphs which are contained within the grid.

    The axis-broken widget is an axis sub-type. It is an axis type where there are jumps in the scale of the axis.

    The axis-function widget allows the user to create an axis where the values are scaled by a monotonic function, allowing non-linear and non-logarithmic axis scales. The widget can also be linked to a different axis via the function.

  6. plotters - types of widgets which plot data or add other things on a graph. There is no actual plotter widget which can be added, but several types of plotters listed below. Plotters typically take an axis as a setting, which is the axis used to plot the data on the graph (default x and y).

    1. function - a plotter which plots a function on the graph. Functions can be functions of x or y (parametric functions are not done yet!), and are defined in Python expression syntax, which is very close to most other languages. For example "3*x**2 + 2*x - 4". A number of functions are available (e.g. sin, cos, tan, exp, log...). Technically, Veusz imports the numpy package when evaluating, so numpy functions are available.

      As well as the function setting, also settable is the line type to plot the function, and the number of steps to evaluate the function when plotting. Filling is supported above/below/left/right of the function.

    2. xy - a plotter which plots scatter, line, or stepped plots. This versatile plotter takes an x and y dataset, and plots (optional) points, in a chosen marker and colour, connecting them with (optional) lines, and plotting (optional) error bars. An xy plotter can also plot a stepped line, allowing histograms to be plotted (note that it doesn't yet do the binning of the data).

      The settings for the xy widget are the various attibutes for the points, line and error bars, the datasets to plot, and the axes to plot on.

      The xy plotter can plot a label next to each dataset, which is either the same for each point or taken from a text dataset.

      If you wish to leave gaps in a plot, the input value "nan" can be specified in the numeric dataset.

    3. fit - fit a function to data. This plotter is a like the function plotter, but allows fitting of the function to data. This is achived by clicking on a "fit" button, or using the "fit" action of the widget. The fitter takes a function to fit containing the unknowns, e.g. "a*x**2 + b*x + c", and initial values for the variables (here a, b and c). It then fits the data (note that at the moment, the fit plotter fits all the data, not just the data that can be seen on the graph) by minimising the chi-squared.

      In order to fit properly, the y data (or x, if fitting as a function of x) must have a properly defined, preferably symmetric error. If there is none, Veusz assumes the same fractional error everywhere, or symmetrises asymmetric errors.

      Note that more work is required in this widget, as if a parameter is not well defined by the data, the matrix inversion in the fit will fail. In addition Veusz does not supply estimates for the errors or the final chi-squared in a machine readable way.

      If the fitting parameters vary significantly from 1, then it is worth "normalizing" them by adding in a factor in the fit equation to bring them to of the order of 1.

    4. bar - a bar chart which plots sets of data as horizontal or vertical bars. Multiple datasets are supported. In "grouped" mode the bars are placed side-by-side for each dataset. In "stacked" mode the bars are placed on top of each other (in the appropriate direction according to the sign of the dataset). Bars are placed on coordinates given, or in integer values from 1 upward if none are given. Error bars are plotted for each of the datasets.

      Different fill styles can be given for each dataset given. A separate key value can be given for each dataset.

    5. key - a box which describes the data plotted. If a key is added to a plot, the key looks for "key" settings of the other data plotted within a graph. If there any it builds up a box containing the symbol and line for the plotter, and the text in the "key" setting of the widget. This allows a key to be very easily added to a plot.

      The key may be placed in any of the corners of the plot, in the centre, or manually placed. Depending on the ordering of the widgets, the key will be placed behind or on top of the widget. The key can be filled and surrounded by a box, or not filled or surrounded.

    6. label - a text label places on a graph. The alignment can be adjusted and the font changed. The position of the label can be specified in fractional terms of the current graph, or using axis coordinates.

    7. rect, ellipse - these draw a rectangle or ellipse, respectively, of size and rotation given. These widgets can be placed directly on the page or on a graph. The centre can be given in axis coordinates or fractional coordinates.

    8. imagefile - draw an external graphs file on the graph or page, with size and rotation given. The centre can be given in axis coordinates or fractional coordinates.

    9. line - draw a line with optional arrowheads on the graph or page. One end can be given in axis coordinates or fractional coordinates.

    10. contour - plot contours of a 2D dataset on the graph. Contours are automatically calculated between the minimum and maximum values of the graph or chosen manually. The line style of the contours can be chosen individually and the region between contours can be filled with shading or color.

      2D datasets currently consist of a regular grid of values between minimum and maximum positions in x and y. They can be constructed from three 1D datasets of x, y and z if they form a regular x, y grid.

    11. image - plot a 2D dataset as a colored image. Different color schemes can be chosen. The scaling between the values and the image can be specified as linear, logarithmic, square-root or square.

    12. polygon - plot x and y points from datasets as a polygon. The polygon can be placed directly on the page or within a graph. Coordinates are either plotted using the axis or as fractions of the width and height of the containing widget.

    13. boxplot - plot distribution of points in a dataset.

    14. polar - plot polar data or functions. This is a non-orthogonal plot and is placed directly on the page rather than in a graph.

    15. ternary - plot data of three variables which add up to 100 per cent.This is a non-orthogonal plot and is placed directly on the page rather than in a graph.

2.2.Settings: properties and formatting

The various settings of the widgets come in a number of types, including integers (e.g. 10), floats (e.g. 3.14), dataset names ("mydata"), expressions ("x+y"), text ("hi there!"), distances (see above), options ("horizontal" or "vertical" for axes).

Veusz performs type checks on these parameters. If they are in the wrong format the control to edit the setting will turn red. In the command line, a TypeError exception is thrown.

In the GUI, the current page is replotted if a setting is changed when enter is pressed or the user moves to another setting.

The settings are split up into formatting settings, controlling the appearance of the plot, or properties, controlling what is plotted and how it is plotted.

Default settings, including the default font and line style, and the default settings for any graph widget, can be modified in the "Default styles" dialog box under the "Edit" menu. Default settings are set on a per-document basis, but can be saved into a separate file and loaded. A default default settings file can be given to use for new documents (set in the preferences dialog).

2.3.Text

Veusz understands a limited set of LaTeX-like formatting for text. There are some differences (for example, "10^23" puts the 2 and 3 into superscript), but it is fairly similar. You should also leave out the dollar signs. Veusz supports superscripts ("^"), subscripts ("_"), brackets for grouping attributes are "{" and "}".

Supported LaTeX symbols include: \AA, \Alpha, \Beta, \Chi, \Delta, \Epsilon, \Eta, \Gamma, \Iota, \Kappa, \Lambda, \Mu, \Nu, \Omega, \Omicron, \Phi, \Pi, \Psi, \Rho, \Sigma, \Tau, \Theta, \Upsilon, \Xi, \Zeta, \alpha, \approx, \ast, \asymp, \beta, \bowtie, \bullet, \cap, \chi, \circ, \cup, \dagger, \dashv, \ddagger, \deg, \delta, \diamond, \divide, \doteq, \downarrow, \epsilon, \equiv, \eta, \gamma, \ge, \gg, \in, \infty, \int, \iota, \kappa, \lambda, \le, \leftarrow, \lhd, \ll, \models, \mp, \mu, \neq, \ni, \nu, \odot, \omega, \omicron, \ominus, \oplus, \oslash, \otimes, \parallel, \perp, \phi, \pi, \pm, \prec, \preceq, \propto, \psi, \rhd, \rho, \rightarrow, \sigma, \sim, \simeq, \sqrt, \sqsubset, \sqsubseteq, \sqsupset, \sqsupseteq, \star, \stigma, \subset, \subseteq, \succ, \succeq, \supset, \supseteq, \tau, \theta, \times, \umid, \unlhd, \unrhd, \uparrow, \uplus, \upsilon, \vdash, \vee, \wedge, \xi, \zeta. Please request additional characters if they are required (and exist in the unicode character set). Special symbols can be included directly from a character map.

Other LaTeX commands are supported. "\\" breaks a line. This can be used for simple tables. For example "{a\\b} {c\\d}" shows "a c" over "b d". The command "\frac{a}{b}" shows a vertical fraction a/b.

Also supported are commands to change font. The command "\font{name}{text}" changes the font text is written in to name. This may be useful if a symbol is missing from the current font, e.g. "\font{symbol}{g}" should produce a gamma. You can increase, decrease, or set the size of the font with "\size{+2}{text}", "\size{-2}{text}", or "\size{20}{text}". Numbers are in points.

Various font attributes can be changed: for example, "\italic{some italic text}" (or use "\textit" or "\emph"), "\bold{some bold text}" (or use "\textbf") and "\underline{some underlined text}".

Example text could include "Area / \pi (10^{-23} cm^{-2})", or "\pi\bold{g}".

Veusz plots these symbols with Qt's unicode support. You can also include special characters directly, by copying and pasting from a character map application. If your current font does not contain these symbols then you may get a box character.

2.4.Measurements

Distances, widths and lengths in Veusz can be specified in a number of different ways. These include absolute distances specified in physical units, e.g. 1cm, 0.05m, 10mm, 5in and 10pt, and relative units, which are relative to the largest dimension of the page, including 5%, 1/20, 0.05.

2.5.Axis numeric scales

The way in which numbers are formatted in axis scales is chosen automatically. For standard numerical axes, values are shown with the "%Vg" formatting (see below). For date axes, an appropriate date formatting is used so that the interval shown is correct. A format can be given for an axis in the axis number formatting panel can be given to explicitly choose a format. Some examples are given in the drop down axis menu. Hold the mouse over the example for detail.

C-style number formatting is used with a few Veusz specific extensions. Text can be mixed with format specifiers, which start with a "%" sign. Examples of C-style formatting include: "%.2f" (decimal number with two decimal places, e.g. 2.01), "%.3e" (scientific formatting with three decimal places, e.g. 2.123e-02), "%g" (general formatting, switching between "%f" and "%e" as appropriate). See http://opengroup.org/onlinepubs/007908799/xsh/fprintf.html for details.

Veusz extensions include "%Ve", which is like "%e" except it displays scientific notation as written, e.g. 1.2x10^23, rather than 1.2e+23. "%Vg" switches between standard numbers and Veusz scientific notation for large and small numbers. "%VE" using engineering SI suffixes to represent large or small numbers (e.g. 1000 is 1k).

Veusz allows dates and times to be formatted using "%VDX" where "X" is one of the formatting characters for strftime (see http://opengroup.org/onlinepubs/007908799/xsh/strftime.html for details). These include "a" for an abbreviated weekday name, "A" for full weekday name, "b" for abbreviated month name, "B" for full month name, "c" date and time representaiton, "d" day of month 01..31, "H" hour as 00..23, "I" hour as 01..12, "j" as day of year 001..366, "m" as month 01..12, "M" minute as 00..59, "p" AM/PM, "S" second 00..61, "U" week number of year 00..53 (Sunday as first day of week), "w" weekday as decimal number 0..6, "W" week number of year (Monday as first day of week), "x" date representation, "X" time representation, "y" year without century 00..99 and "Y" year. "%VDVS" is a special Veusz addon format which shows seconds and fractions of seconds (e.g. 12.2).

3.Installation

Please look at the Installation notes (INSTALL) for details on installing Veusz.

4.The main window

You should see the main window when you run Veusz (you can just type the veusz command in Unix).

The Veusz window is split into several sections. At the top is the menu bar and tool bar. These work in the usual way to other applications. Sometimes options are disabled (greyed out) if they do not make sense to be used. If you hold your mouse over a button for a few seconds, you will usually get an explanation for what it does called a "tool tip".

Below the main toolbar is a second toolbar for constructing the graph by adding widgets (on the left), and some editing buttons. The add widget buttons add the request widget to the currently selected widget in the selection window. The widgets are arranged in a tree-like structure.

Below these toolbars and to the right is the plot window. This is where the current page of the current document is shown. You can adjust the size of the plot on the screen (the zoom factor) using the "View" menu or the zoom tool bar button (the magnifying glass). Initially you will not see a plot in the plot window, but you will see the Veusz logo. At the moment you cannot do much else with the window. In the future you will be able to click on items in the plot to modify them.

To the left of the plot window is the selection window, and the properties and formatting windows. The properties window lets you edit various aspects of the selected widget (such as the minimum and maximum values on an axis). Changing these values should update the plot. The formatting lets you modify the appearance of the selected widget. There are a series of tabs for choosing what aspect to modify.

The various windows can be "dragged" from the main window to "float" by themselves on the screen.

To the bottom of the window is the console. This window is not shown by default, but can be enabled in the View menu. The console is a Veusz and Python command line console. To read about the commands available see Commands. As this is a Python console, you can enter mathematical expressions (e.g. "1+2.0*cos(pi/4)") here and they will be evaluated when you press Enter. The usual special functions and the operators are supported. You can also assign results to variables (e.g. "a=1+2") for use later. The console also supports command history like many Unix shells. Press the up and down cursor keys to browse through the history. Command line completion is not available yet!

There also exists a dataset browsing window, by default to the right of the screen. This window allows you to view the datasets currently loaded, their dimensions and type. Hovering a mouse over the size of the dataset will give you a preview of the data.

5.My first plot

After opening Veusz, on the left of the main window, you will see a Document, containing a Page, which contains a Graph with its axes. The Graph is selected in the selection window. The toolbar above adds a new widget to the selected widget. If a widget cannot be added to a selected widget it is disabled. On opening a new document Veusz automatically adds a new Page and Graph (with axes) to the document.

You will see something like this:

Select the x axis which has been added to the document (click on "x" in the selection window). In the properties window you will see a variety of different properties you can modify. For instance you can enter a label for the axis by writing "Area (cm^{2})" in the box next to label and pressing enter. Veusz supports text in LaTeX-like form (without the dollar signs). Other important parameters is the "log" switch which switches between linear and logarithmic axes, and "min" and "max" which allow the user to specify the minimum and maximum values on the axes.

The formatting dialog lets you edit various aspects of the graph appearance. For instance the "Line" tab allows you to edit the line of the axis. Click on "Line", then you can then modify its colour. Enter "green" instead of "black" and press enter. Try making the axis label bold.

Now you can try plotting a function on the graph. If the graph, or its children are selected, you will then be able to click the "function" button at the top (a red curve on a graph). You will see a straight line (y=x) added to the plot. If you select "function1", you will be able to edit the functional form plotted and the style of its line. Change the function to "x**2" (x-squared).

We will now try plotting data on the graph. Go to your favourite text editor and save the following data as test.dat:

1     0.1   -0.12   1.1    0.1
2.05  0.12  -0.14   4.08   0.12
2.98  0.08  -0.1    2.9    0.11
4.02  0.04  -0.1    15.3   1.0

The first three columns are the x data to plot plus its asymmetric errors. The final two columns are the y data plus its symmetric errors. In Veusz, go to the "Data" menu and select "Import". Type the filename into the filename box, or use the "Browse..." button to search for the file. You will see a preview of the data pop up in the box below. Enter "x,+,- y,+-" into the descriptors edit box (note that commas and spaces in the descriptor are almost interchangeable in Veusz 1.6 or newer). This describes the format of the data which describes dataset "x" plus its asymmetric errors, and "y" with its symmetric errors. If you now click "Import", you will see it has imported datasets "x" and "y".

To plot the data you should now click on "graph1" in the tree window. You are now able to click on the "xy" button (which looks like points plotted on a graph). You will see your data plotted on the graph. Veusz plots datasets "x" and "y" by default, but you can change these in the properties of the "xy" plotter.

You are able to choose from a variety of markers to plot. You can remove the plot line by choosing the "Plot Line" subsetting, and clicking on the "hide" option. You can change the colour of the marker by going to the "Marker Fill" subsetting, and entering a new colour (e.g. red), into the colour property.

Chapter2.Reading data

Table of Contents

1. Standard text import
1.1. Data types in text import
1.2. Descriptors
2. CSV files
3. HDF5 files
3.1. Error bars
3.2. Slices
3.3. 2D data ranges
3.4. Dates
4. 2D text or CSV format
5. FITS files
6. Reading other data formats
7. Manipulating datasets
7.1. Using dataset plugins
7.2. Using expressions to create new datasets
7.3. Linking datasets to expressions
7.4. Splitting data
7.5. Defining new constants or functions
7.6. Dataset plugins
8. Capturing data

Currently Veusz supports reading data from files with text, CSV, HDF5, FITS, 2D text or CSV, QDP, binary and NPY/NPZ formats. Use the Data → Import dialog to read data, or the importing commands in the API can be used. In addition, the user can load or write import plugins in Python which load data into Veusz in an arbitrary format. At the moment QDP, binary and NPY/NPZ files are supported with this method. The HDF5 file format is the most sophisticated, and is recommended for complex datasets.

By default, data are "linked" to the file imported from. This means that the data are not stored in the Veusz saved file and are reloaded from the original data file when opening. In addition, the user can use the Data → Reload menu option to reload data from linked files. Unselect the linked option when importing to remove the association with the data file and to store the data in the Veusz saved document.

Note that a prefix and suffix can be given when importing. These are added to the front or back of each dataset name imported. They are convenient for grouping data together.

We list the various types of import below.

1.Standard text import

The default text import operates on simple text files. The data are assumed to be in columns separated by whitespace. Each column corresponds to dataset (or its error bars). Each row is an entry in the dataset.

The way the data are read is goverened by a simple "descriptor". This can simply be a list of dataset names separated by spaces. If no descriptor is given, the columns are treated as separate datasets and are given names col1, col2, etc. Veusz attempts to automatically determine the type of the data.

When reading in data, Veusz treats any whitespace as separating columns. The columns do not actually need to be aligned. Furthermore a "\" symbol can be placed at the end of a line to mark a continuation. Veusz will read the next line as if it were placed at the end of the current line. In addition comments and blank lines are ignored (unless in block mode). Comments start with a "#", ";", "!" or "%", and continue until the end of the line. The special value "nan" can be used to specify a break in a dataset.

If the option to read data in blocks is enabled, Veusz treats blank lines (or lines starting with the word "no") as block separators. For each dataset in the descriptor, separate datasets are created for each block, using a numeric suffix giving the block number, e.g. _1, _2.

1.1.Data types in text import

Veusz supports reading in several types of data. The type of data can be added in round brackets after the name in the descriptor. Veusz will try to guess the type of data based on the first value, so you should specify it if there is any form of ambiguity (e.g. is 3 text or a number). Supported types are numbers (use numeric in brackets) and text (use text in brackets). An example descriptor would be "x(numeric) +- y(numeric) + - label(text)" for an x dataset followed by its symmetric errors, a y dataset followed by two columns of asymmetric errors, and a final column of text for the label dataset.

A text column does not need quotation unless it contains space characters or escape characters. However make sure you deselect the "ignore text" option in the import dialog. This ignores lines of text to ease the import of data from other applications. Quotation marks are recommended around text if you wish to avoid ambiguity. Text is quoted according to the Python rules for text. Double or single quotation marks can be used, e.g. "A 'test'", 'A second "test"'. Quotes can be escaped by prefixing them with a backslash, e.g. "A new \"test\"". If the data are generated from a Python script, the repr function provides the text in a suitable form.

Dates and times are also supported with the syntax "dataset(date)". Dates must be in ISO format YYYY-MM-DD. Times are in 24 hour format hh:mm:ss.ss. Dates with times are written YYYY-MM-DDThh:mm:ss.ss (this is a standard ISO format, see http://www.w3.org/TR/NOTE-datetime). Dates are stored within Veusz as a number which is the number of seconds since the start of January 1st 2009. Veusz also supports dates and times in the local format, though take note that the same file and data may not work on a system in a different location.

1.2.Descriptors

A list of datasets, or a "Descriptor", is given in the Import dialog to describe how the data are formatted in the import file. The descriptor at its simplest is a space or comma-separated list of the names of the datasets to import. These are columns in the file.

Following a dataset name the text "+", "-", or "+-" can be given to say that the following column is a positive error bar, negative error bar or symmetric error bar for the previous (non error bar) dataset. These symbols should be separated from the dataset name or previous symbol with a space or a comma symbol.

In addition, if multiple numbered columns should be imported, the dataset name can be followed by square brackets containing a range in the form "[a:b]" to number columns a to b, or [:] to number remaining columns. See below for examples of this use.

Dataset names can contain virtually any character, even unicode characters. If the name contains non alpha-numeric characters (characters outside of A-Z, a-z and 0-9), then the dataset name should be contained within back-tick characters. An example descriptor is `length data (m)`,+- `speed (mps)`,+,-, for two datasets with spaces and brackets in their names.

Instead of specifying the descriptor in the Import dialog, the descriptor can be placed in the data file using a descriptor statement on a separate line, consisting of "descriptor" followed by the descriptor. Multiple descriptors can be placed in a single file, for example: 

# here is one section
descriptor x,+- y,+,-
1 0.5  2 0.1 -0.1
2 0.3  4 0.2 -0.1

# my next block
descriptor alpha beta gamma
1 2 3
4 5 6
7 8 9

# etc...

1.2.1.Descriptor examples

  1. x y two columns are present in the file, they will be read in as datasets "x" and "y".

  2. x,+- y,+,- or x +- y + - two datasets are in the file. Dataset "x" consists of the first two columns. The first column are the values and the second are the symmetric errors. "y" consists of three columns (note the comma between + and -). The first column are the values, the second positive asymmetric errors, and the third negative asymmetric errors.

    Suppose the input file contains: 

    1.0  0.3  2   0.1  -0.2
1.5  0.2  2.3 2e-2 -0.3E0
2.19 0.02 5    0.1 -0.1

    Then x will contain "1+-0.3", "1.5+-0.2", "2.19+-0.02". y will contain "2 +0.1 -0.2", "2.3 +0.02 -0.3", "5 +0.1 -0.1".

  3. x[1:2] y[:] the first column is the data "x_1", the second "x_2". Subsequent columns are read as "y[1]" to "y[n]".

  4. y[:]+- read each pair of columns as a dataset and its symmetric error, calling them "y[1]" to "y[n]".

  5. foo,,+- read the first column as the foo dataset, skip a column, and read the third column as its symmetric error.

2.CSV files

CVS (comma separated variable) files are often written from other programs, such as spreadsheets, including Excel and Gnumeric. Veusz supports reading from these files.

In the import dialog choose "CSV", then choose a filename to import from. In the CSV file the user should place the data in either rows or columns. Veusz will use a name above a column or to the left of a row to specify what the dataset name should be. The user can use new names further down in columns or right in rows to specify a different dataset name. Names do not have to be used, and Veusz will assign default "col" and "row" names if not given. You can also specify a prefix which is prepended to each dataset name read from the file.

To specify symmetric errors for a column, put "+-" as the dataset name in the next column or row. Asymmetric errors can be stated with "+" and "-" in the columns.

The data type in CSV files are automatically detected unless specified. The data type can be given in brackets after the column name, e.g. "name (text)", where the data type is "date", "numeric" or "text". Explicit data types are needed if the data look like a different data type (e.g. a text item of "1.23"). The date format in CSV files can be specified in the import dialog box - see the examples given. In addition CSV files support numbers in European format (e.g. 2,34 rather than 2.34), depending on the setting in the dialog box.

3.HDF5 files

HDF5 is a flexible data format. Datasets and tables can be stored in a hierarchical arrangements of groups within a file. Veusz supports reading 1D numeric, text, date-time or 2D numeric data from HDF files. The h5py Python module must be installed to use HDF5 files (included in binary releases).

In the import dialog box, choose which individual datasets to import, or selecting a group to import all the datasets within the group. If selecting a group, datasets in the group incompatible with Veusz are ignored.

A name can be provided for each dataset imported by entering one under "Import as". If one is not given, the dataset or column name is used. The name can also be specified by setting the HDF5 dataset attribute vsz_name to the name. Note that for compound datasets (tables), vsz_ attributes for columns are given by appending the suffix _columnname to the attribute.

3.1.Error bars

Error bars are supported in two ways. The first way is to combine 1D datasets. For the datasets which are error bars, use a name which is the same as the main dataset but with the suffix "(+-)", "(+)" or "(-)", for symmetric, postive or negative error bars, respectively. The second method is to use a 2D dataset with two or three columns, for symmetric or asymmetric error bars, respectively. Click on the dataset in the dialog and choose the option to import as a 1D dataset. This second method can also be enabled by adding an HDF5 attribute vsz_twod_as_oned set to a non-zero value for the dataset.

3.2.Slices

As Veusz only supports 1D and 2D datasets, you may wish to reduce the dimensions of a dataset before importing by slicing. You can also give a slice to import a subset of a dataset. When importing, in the slice column you can give a slice expression. This should have the same number of entries as the dataset has dimensions, separated by commas. An entry can be a single number, to select a particular row or column. Alternatively it could be an expression like a:b:c or a:b, where a is the starting index, b is one beyond the stopping index and optionally c is the step size. A slice can also be specified by providing an HDF5 attribute vsz_slice for the dataset.

3.3.2D data ranges

2D data have an associated X and Y range. By default the number of pixels of the image are used to give this range. A range can be specified by clicking on the dataset and entering a minimum and maximum X and Y coordinates. Alternatively, provide the HDF5 attribute for the dataset vsz_range, which should be set to an array of four values (minimum x, minimum y, maximum x, maximum y).

3.4.Dates

Date/time datasets can be made from a 1D numeric dataset or from a text dataset. For the 1D dataset, use the number of seconds relative to the start of the year 2009 (this is Veusz format) or the year 1970 (this is Unix format). In the import dialog, click on the name of the dataset and choose the date option. To specify a date format in the HDF5 file, set the attribute vsz_convert_datetime to either veusz or unix.

For text datasets, dates must be given in the right format, selected in the import dialog after clicking on the dataset name. As in other file formats, by default Veusz uses ISO 8601 format, which looks like "2013-12-22T21:08:07", where the date and time parts are optional. The T is also optional. You can also provide your own format when importing by giving a date expression using YYYY, MM, DD, hh, mm and ss (e.g. "YYYY-MM-DD|T|hh:mm:ss"), where vertical bars mark optional parts of the expression. To automate this, set the attribute vsz_convert_datetime to the format expression or iso to specify ISO format.

4.2D text or CSV format

Veusz can import 2D data from standard text or CSV files. In this case the data should consist of a matrix of data values, with the columns separated by one or more spaces or tabs and the rows on different lines.

In addition to the data the file can contain lines at the top which affect the import. Such specifiers are used, for example, to change the coordinates of the pixels in the file. By default the first pixels coordinates is between 0 and 1, with the centre at 0.5. Subsequent pixels are 1 greater. When using specifiers in CSV files, put the different parts (separated by spaces) in separate columns. Below are listed the specifiers:

  1. xrange A B - make the 2D dataset span the coordinate range A to B in the x-axis (where A and B are numbers). Note that the range is inclusive, so a 1 pixel wide image with A=0 and B=1 would have the pixel centre at 0.5. The pixels are assumed to have the same spacing. Do not use this as the same time as the xedge or xcent options.

  2. yrange A B - make the 2D dataset span the coordinate range A to B in the y-axis (where A and B are numbers).

  3. xedge A B C... - rather than assume the pixels have the same spacing, give the coordinates of the edges of the pixels in the x-axis. The numbers should be space-separated and there should be one more number than pixels. Do not give xrange or xcent if this is given.

  4. yedge A B C... - rather than assume the pixels have the same spacing, give the coordinates of the edges of the pixels in the y-axis.

  5. xcent A B C... - rather than give a total range or pixel edges, give the centres of the pixels. There should be the same number of values as pixels in the image. Do not give xrange or xedge if this is given.

  6. ycent A B C... - rather than give a total range or pixel edges, give the centres of the pixels.

  7. invertrows - invert the rows after reading the data.

  8. invertcols - invert the columns after reading the data.

  9. transpose - swap rows and columns after importing data.

  10. gridatedge - the first row and leftmost column give the positions of the centres of the pixels. This is also an option in the import dialog. The values should be increasing.

5.FITS files

1D or 2D data can be read from FITS files. 1D data, with optional errors bars, can be read from table extensions, and 2D data from image or primary extensions. Note that pyfits or astropy must be installed to get FITS support.

To read 1D data, choose a tabular HDU for to import from, enter the name to give the imported data, and choose the columns to assign to the data. Multiple sets of data can be read by repeatedly importing.

For 2D data, choose an image HDU. Enter the name of the dataset. The data are imported with pixel coordinates by default (i.e. the pixels are numbered with integers). Other modes can be selected under Image WCS mode. These include fractional, where the pixels are numbered between 0 and 1. Pixel (WCS) assigns the pixel coordinate calculated relative to the CRPIX1/2 header keywords. Linear (WCS) uses linear coordinates where the Pixel (WCS) coordinates are multiplied by the respective CDELT1/2 values and added to the CRVAL1/2 values.

6.Reading other data formats

As mentioned above, a user may write some Python code to read a data file or set of data files. To write a plugin which is incorportated into Veusz, see http://barmag.net/veusz-wiki/ImportPlugins

You can also include Python code in an input file to read data, which we describe here. Suppose an input file "in.dat" contains the following data:

1   2
2   4
3   9
4   16

Of course this data could be read using the ImportFile command. However, you could also read it with the following Veusz script (which could be saved to a file and loaded with execfile or Load. The script also places symmetric errors of 0.1 on the x dataset.

x = []
y = []
for line in open("in.dat"):
    parts = [float(i) for i in line.split()]
    x.append(parts[0])
    y.append(parts[1])

SetData('x', x, symerr=0.1)
SetData('y', y)

7.Manipulating datasets

Imported datasets can easily be modified in the Data Editor dialog box. This dialog box can also be used to create new datasets from scratch by typing them in. The Data Create dialog box is used to new datasets as a numerical sequence, parametrically or based on other datasets given expressions. If you want to plot a function of a dataset, you often do not have to create a new dataset. Veusz allows to enter expressions directly in many places.

7.1.Using dataset plugins

Dataset plugins can be used to perform arbitrary manipulation of datasets. Veusz includes several plugins for mathematical operation of data and other dataset manipulations, such as concatenation or splitting. If you wish to write your own plugins look at http://barmag.net/veusz-wiki/DatasetPlugins.

7.2.Using expressions to create new datasets

For instance, if the user has already imported dataset d, then they can create d2 which consists of d**2. Expressions are in Python numpy syntax and can include the usual mathematical functions.

Expressions for error bars can also be given. By appending _data, _serr, _perr or _nerr to the name of the dataset in the expression, the user can base their expression on particular parts of the given dataset (the main data, symmetric errors, positive errors or negative errors). Otherwise the program uses the same parts as is currently being specified.

If a dataset name contains non alphanumeric characters, its name should be quoted in the expression in back-tick characters, e.g. `length (cm)`*2.

The numpy functionality is particularly useful for doing more complicated expressions. For instance, a conditional expression can be written as where(x<y,x,y) or where(isfinite(x),a,b)).

You often do not need to create a new dataset when. For example, with the xy point plotter widget, you can directly enter an expression as the X and Y dataset settings. When you give a direct dataset expression, you can define error bar expressions by separating them by commas, and optionally surrounding them by brackets. For example (a,0.1) plots dataset a as the data, with symmetric errors bars of 0.1. Asymmetric bars are given as (a,a*0.1,-a*0.1).

7.3.Linking datasets to expressions

A particularly useful feature is to be able to link a dataset to an expression, so if the expression changes the dataset changes with it, like in a spreadsheet.

7.4.Splitting data

Data can also be chopped in this method, for example using the expression x[10:20], which makes a dataset based on the 11th to 20th item in the x dataset (the ranges are Python syntax, and are zero-based). Negative indices count backwards from the end of the dataset. Data can be skipped using expressions such as data[::2], which skips every other element

7.5.Defining new constants or functions

User defined constants or functions can be defined in the "Custom definitions" dialog box under the edit menu. Functions can also be imported from external python modules.

Custom definitions are defined on a per-document basis, but can be saved or loaded into a file. A default custom definitions file can be set in the preferences dialog box.

7.6.Dataset plugins

In addition to creating datasets based on expressions, a variety of dataset plugins exist, which make certain operations on datasets much more convenient. See the Data, Operations menu for a list of the default plugins. The user can easily create new plugins. See http://barmag.net/veusz-wiki/DatasetPlugins for details.

8.Capturing data

In addition to the standard data import, data can be captured as it is created from an external program, a network socket or a file or named pipe. When capturing from a file, the behaviour is like the Unix tail -f command, where new lines written to the file are captured. To use the capturing facility, the data must be written in the simple line based standard Veusz text format. Data are whitespace separated, with one value per dataset given on a single line.

To capture data, use the dialog box Data → Capture. A list of datasets should be given. This is the standard descriptor format. Choose the source of the data, which is either a a filename or named pipe, a network socket to connect to, or a command line for an external program. Capturing ends if the source of the data runs out (for external programs or network sockets) or the finish button is clicked. It can optionally end after a certain number of data lines or when a time period has expired. Normally the data are updated in Veusz when the capturing is finished. There is an option to update the document at intervals, which is useful for monitoring. A plot using the variables will update when the data are updated.

Click the Capture button to start the capture. Click Finish or Cancel to stop. Cancelling destroys captured data.

Chapter3.Command line interface

Table of Contents

1. Introduction
2. Commands
2.1. Action
2.2. Add
2.3. AddCustom
2.4. AddImportPath
2.5. CloneWidget
2.6. Close
2.7. CreateHistogram
2.8. DatasetPlugin
2.9. EnableToolbar
2.10. Export
2.11. ForceUpdate
2.12. Get
2.13. GetChildren
2.14. GetClick
2.15. GetData
2.16. GetDataType
2.17. GetDatasets
2.18. GPL
2.19. ImportFile
2.20. ImportFile2D
2.21. ImportFileCSV
2.22. ImportFileHDF5
2.23. ImportFilePlugin
2.24. ImportFITSFile
2.25. ImportString
2.26. ImportString2D
2.27. IsClosed
2.28. List
2.29. Load
2.30. MoveToPage
2.31. ReloadData
2.32. Rename
2.33. Remove
2.34. ResizeWindow
2.35. Save
2.36. Set
2.37. SetAntiAliasing
2.38. SetData
2.39. SetDataExpression
2.40. SetDataRange
2.41. SetData2D
2.42. SetData2DExpression
2.43. SetData2DExpressionXYZ
2.44. SetData2DXYFunc
2.45. SetDataDateTime
2.46. SetDataText
2.47. SetToReference
2.48. SetUpdateInterval
2.49. SetVerbose
2.50. StartSecondView
2.51. TagDatasets
2.52. To
2.53. Quit
2.54. WaitForClose
2.55. Zoom
3. Security

1.Introduction

An alternative way to control Veusz is via its command line interface. As Veusz is a a Python application it uses Python as its scripting language. Therefore you can freely mix Veusz and Python commands on the command line. Veusz can also read in Python scripts from files (see the Load command).

When commands are entered in the command prompt in the Veusz window, Veusz supports a simplified command syntax, where brackets following commands names, and commas, can replaced by spaces in Veusz commands (not Python commands). For example, Add('graph', name='foo'), may be entered as Add 'graph' name='foo'.

The numpy package is already imported into the command line interface (as "*"), so you do not need to import it first.

The command prompt supports history (use the up and down cursor keys to recall previous commands).

Most of the commands listed below can be used in the in-program command line interface, using the embedding interface or using veusz_listen. Commands specific to particular modes are documented as such.

Veusz also includes a new object-oriented version of the interface, which is documented at http://barmag.net/veusz-wiki/EmbeddingPython.

2.Commands

We list the allowed set of commands below

2.1.Action

Action('actionname', componentpath='.')

Initiates the specified action on the widget (component) given the action name. Actions perform certain automated routines. These include "fit" on a fit widget, and "zeroMargins" on grids.

2.2.Add

Add('widgettype', name='nameforwidget', autoadd=True, optionalargs)

The Add command adds a graph into the current widget (See the To command to change the current position).

The first argument is the type of widget to add. These include "graph", "page", "axis", "xy" and "grid". name is the name of the new widget (if not given, it will be generated from the type of the widget plus a number). The autoadd parameter if set, constructs the default sub-widgets this widget has (for example, axes in a graph).

Optionally, default values for the graph settings may be given, for example Add('axis', name='y', direction='vertical').

Subsettings may be set by using double underscores, for example Add('xy', MarkerFill__color='red', ErrorBarLine__hide=True).

Returns: Name of widget added.

2.3.AddCustom

AddCustom(type, name, value)

Add a custom definition for evaluation of expressions. This can define a constant (can be in terms of other constants), a function of 1 or more variables, or a function imported from an external python module.

ctype is "constant", "function" or "import".

name is name of constant, or "function(x, y, ...)" or module name.

val is definition for constant or function (both are _strings_), or is a list of symbols for a module (comma separated items in a string).

If mode is 'appendalways', the custom value is appended to the end of the list even if there is one with the same name. If mode is 'replace', it replaces any existing definition in the same place in the list or is appended otherwise. If mode is 'append', then an existing definition is deleted, and the new one appended to the end.

2.4.AddImportPath

AddImportPath(directory)

Add a directory to the list of directories to try to import data from.

2.5.CloneWidget

CloneWidget(widget, newparent, newname=None)

Clone the widget given, placing the copy in newparent and the name given. newname is an optional new name to give it Returns new widget path.

2.6.Close

Close()

Closes the plotwindow. This is only supported in embedded mode.

2.7.CreateHistogram

CreateHistogram(inexpr, outbinsds, outvalsds, binparams=None, binmanual=None, method='counts', cumulative = 'none', errors=False)

Histogram an input expression. inexpr is input expression. outbinds is the name of the dataset to create giving bin positions. outvalsds is name of dataset for bin values. binparams is None or (numbins, minval, maxval, islogbins). binmanual is None or a list of bin values. method is 'counts', 'density', or 'fractions'. cumulative is to calculate cumulative distributions which is 'none', 'smalltolarge' or 'largetosmall'. errors is to calculate Poisson error bars.

2.8.DatasetPlugin

DatasetPlugin(pluginname, fields, datasetnames={})>

Use a dataset plugin. pluginname: name of plugin to use fields: dict of input values to plugin datasetnames: dict mapping old names to new names of datasets if they are renamed. The new name None means dataset is deleted

2.9.EnableToolbar

EnableToolbar(enable=True)

Enable/disable the zooming toolbar in the plotwindow. This command is only supported in embedded mode or from veusz_listen.

2.10.Export

Export(filename, color=True, page=0 dpi=100, antialias=True, quality=85, backcolor='#ffffff00', pdfdpi=150, svgtextastext=False)

Export the page given to the filename given. The filename must end with the correct extension to get the right sort of output file. Currrenly supported extensions are '.eps', '.pdf', '.svg', '.jpg', '.jpeg', '.bmp' and '.png'. If color is True, then the output is in colour, else greyscale. page is the page number of the document to export (starting from 0 for the first page!). dpi is the number of dots per inch for bitmap output files. antialias - antialiases output if True. quality is a quality parameter for jpeg output. backcolor is the background color for bitmap files, which is a name or a #RRGGBBAA value (red, green, blue, alpha). pdfdpi is the dpi to use when exporting EPS or PDF files. svgtextastext says whether to export SVG text as text, rather than curves.

2.11.ForceUpdate

ForceUpdate()

Force the window to be updated to reflect the current state of the document. Often used when periodic updates have been disabled (see SetUpdateInterval). This command is only supported in embedded mode or from veusz_listen.

2.12.Get

Get('settingpath')

Returns: The value of the setting given by the path.

>>> Get('/page1/graph1/x/min')
'Auto'

2.13.GetChildren

GetChildren(where='.')

Returns: The names of the widgets which are children of the path given

2.14.GetClick

GetClick()

Waits for the user to click on a graph and returns the position of the click on appropriate axes. Command only works in embedded mode.

Returns: A list containing tuples of the form (axispath, val) for each axis for which the click was in range. The value is the value on the axis for the click.

2.15.GetData

GetData(name)

Returns: For a 1D dataset, a tuple containing the dataset with the name given. The value is (data, symerr, negerr, poserr), with each a numpy array of the same size or None. data are the values of the dataset, symerr are the symmetric errors (if set), negerr and poserr and negative and positive asymmetric errors (if set). If a text dataset, return a list of text elements. If the dataset is a date-time dataset, return a list of Python datetime objects. If the dataset is a 2D dataset return the tuple (data, rangex, rangey), where data is a 2D numpy array and rangex/y are tuples giving the range of the x and y coordinates of the data.

data = GetData('x')
SetData('x', data[0]*0.1, *data[1:])

2.16.GetDataType

GetDataType(name)

Get type of dataset with name given. Returns '1d' for a 1d dataset, '2d' for a 2d dataset, 'text' for a text dataset and 'datetime' for a datetime dataset.

2.17.GetDatasets

GetDatasets()

Returns: The names of the datasets in the current document.

2.18.GPL

GPL()

Print out the GNU Public Licence, which Veusz is licenced under.

2.19.ImportFile

ImportFile('filename', 'descriptor', linked=False, prefix='', suffix='', encoding='utf_8', renames={})

Imports data from a file. The arguments are the filename to load data from and the descriptor.

The format of the descriptor is a list of variable names representing the columns of the data. For more information see Descriptors.

If the linked parameter is set to True, if the document is saved, the data imported will not be saved with the document, but will be reread from the filename given the next time the document is opened. The linked parameter is optional.

If prefix and/or suffix are set, then the prefix and suffix are added to each dataset name. If set, renames maps imported dataset names to final dataset names after import.

Returns: A tuple containing a list of the imported datasets and the number of conversions which failed for a dataset.

Changed in version 0.5: A tuple is returned rather than just the number of imported variables.

2.20.ImportFile2D

ImportFile2D('filename', datasets, xrange=(a,b), yrange=(c,d), invertrows=True/False, invertcols=True/False, transpose=True/False, prefix='', suffix='', linked=False, encoding='utf8', renames={})

Imports two-dimensional data from a file. The required arguments are the filename to load data from and the dataset name, or a list of names to use.

filename is a string which contains the filename to use. datasets is either a string (for a single dataset), or a list of strings (for multiple datasets).

The xrange parameter is a tuple which contains the range of the X-axis along the two-dimensional dataset, for example (-1., 1.) represents an inclusive range of -1 to 1. The yrange parameter specifies the range of the Y-axis similarly. If they are not specified, (0, N) is the default, where N is the number of datapoints along a particular axis.

invertrows and invertcols if set to True, invert the rows and columns respectively after they are read by Veusz. transpose swaps the rows and columns.

If prefix and/or suffix are set, they are prepended or appended to imported dataset names. If set, renames maps imported dataset names to final dataset names after import.

If the linked parameter is True, then the datasets are linked to the imported file, and are not saved within a saved document.

The file format this command accepts is a two-dimensional matrix of numbers, with the columns separated by spaces or tabs, and the rows separated by new lines. The X-coordinate is taken to be in the direction of the columns. Comments are supported (use "#", "!" or "%"), as are continuation characters ("\"). Separate datasets are deliminated by using blank lines.

In addition to the matrix of numbers, the various optional parameters this command takes can also be specified in the data file. These commands should be given on separate lines before the matrix of numbers. They are:

  1. xrange A B

  2. yrange C D

  3. invertrows

  4. invertcols

  5. transpose

2.21.ImportFileCSV

ImportFileCSV('filename', readrows=False, dsprefix='', dssuffix='', linked=False, encoding='utf_8', renames={})

This command imports data from a CSV format file. Data are read from the file using the dataset names given at the top of the files in columns. Please see the reading data section of this manual for more information. dsprefix is prepended to each dataset name and dssuffix is added (the prefix option is deprecated and also addeds an underscore to the dataset name). linked specifies whether the data will be linked to the file. renames, if set, provides new names for datasets after import.

2.22.ImportFileHDF5

ImportFileHDF5(filename, items, namemap={}, slices={}, twodranges={}, twod_as_oned=set([]), convert_datetime={}, prefix='', suffix='', renames={}, linked=False)

Import data from a HDF5 file. items is a list of groups and datasets which can be imported. If a group is imported, all child datasets are imported. namemap maps an input dataset to a veusz dataset name. Special suffixes can be used on the veusz dataset name to indicate that the dataset should be imported specially. 

'foo (+)': import as +ve error for dataset foo
'foo (-)': import as -ve error for dataset foo
'foo (+-)': import as symmetric error for dataset foo

slices is an optional dict specifying slices to be selected when importing. For each dataset to be sliced, provide a tuple of values, one for each dimension. The values should be a single integer to select that index, or a tuple (start, stop, step), where the entries are integers or None.

twodranges is an optional dict giving data ranges for 2d datasets. It maps names to (minx, miny, maxx, maxy). twod_as_oned: optional set containing 2d datasets to attempt to read as 1d

convert_datetime should be a dict mapping hdf name to specify date/time importing. For a 1d numeric dataset: if this is set to 'veusz', this is the number of seconds since 2009-01-01, if this is set to 'unix', this is the number of seconds since 1970-01-01. For a text dataset, this should give the format of the date/time, e.g. 'YYYY-MM-DD|T|hh:mm:ss' or 'iso' for iso format.

renames is a dict mapping old to new dataset names, to be renamed after importing. linked specifies that the dataset is linked to the file. 

    Attributes can be used in datasets to override defaults:
     'vsz_name': set to override name for dataset in veusz
     'vsz_slice': slice on importing (use format "start:stop:step,...")
     'vsz_range': should be 4 item array to specify x and y ranges:
                  [minx, miny, maxx, maxy]
     'vsz_twod_as_oned': treat 2d dataset as 1d dataset with errors
     'vsz_convert_datetime': treat as date/time, set to one of the values
                             above.

For compound datasets these attributes can be given on a per-column basis using attribute names vsz_attributename_columnname.

Returns: list of imported datasets

2.23.ImportFilePlugin

ImportFilePlugin('pluginname', 'filename', **pluginargs, linked=False, encoding='utf_8', prefix='', suffix='', renames={})

Import data from file using import plugin 'pluginname'. The arguments to the plugin are given, plus optionally a text encoding, and prefix and suffix to prepend or append to dataset names. renames, if set, provides new names for datasets after import.

2.24.ImportFITSFile

ImportFITSFile(datasetname, filename, hdu, datacol='A', symerrcol='B', poserrcol='C', negerrcol='D', linked=True/False, renames={})

This command does a simple import from a FITS file. The FITS format is used within the astronomical community to transport binary data. For a more powerful FITS interface, you can use PyFITS within your scripts.

The datasetname is the name of the dataset to import, the filename is the name of the FITS file to import from. The hdu parameter specifies the HDU to import data from (numerical or a name).

If the HDU specified is a primary HDU or image extension, then a two-dimensional dataset is loaded from the file. The optional parameters (other than linked) are ignored. Any WCS information within the HDU are used to provide a suitable xrange and yrange.

If the HDU is a table, then the datacol parameter must be specified (and optionally symerrcol, poserrcol and negerrcol). The dataset is read in from the named column in the table. Any errors are read in from the other specified columns.

If linked is True, then the dataset is not saved with a saved document, but is reread from the data file each time the document is loaded. renames, if set, provides new names for datasets after import.

2.25.ImportString

ImportString('descriptor', 'data')

Like, ImportFile, but loads the data from the specfied string rather than a file. This allows data to be easily embedded within a document. The data string is usually a multi-line Python string.

Returns: A tuple containing a list of the imported datasets and the number of conversions which failed for a dataset.

Changed in version 0.5: A tuple is returned rather than just the number of imported variables.

ImportString('x y', '''
1   2
2   5
3   10
''')

2.26.ImportString2D

ImportString2D(datasets, string)

Imports a two-dimensional dataset from the string given. This is similar to the ImportFile2D command, with the same dataset format within the string. This command, however, does not currently take any optional parameters. The various controlling parameters can be set within the string. See the ImportFile2D section for details.

2.27.IsClosed

IsClosed()

Returns a boolean value telling the caller whether the plotting window has been closed.

Note: this command is only supported in the embedding interface.

2.28.List

List(where='.')

List the widgets which are contained within the widget with the path given, the type of widgets, and a brief description.

2.29.Load

Load('filename.vsz')

Loads the veusz script file given. The script file can be any Python code. The code is executed using the Veusz interpreter.

Note: this command is only supported at the command line and not in a script. Scripts may use the python execfile function instead.

2.30.MoveToPage

MoveToPage(pagenum)

Updates window to show the page number given of the document.

Note: this command is only supported in the embedding interface or veusz_listen.

2.31.ReloadData

ReloadData()

Reload any datasets which have been linked to files.

Returns: A tuple containing a list of the imported datasets and the number of conversions which failed for a dataset.

2.32.Rename

Remove('widgetpath', 'newname')

Rename the widget at the path given to a new name. This command does not move widgets. See To for a description of the path syntax. '.' can be used to select the current widget.

2.33.Remove

Remove('widgetpath')

Remove the widget selected using the path. See To for a description of the path syntax.

2.34.ResizeWindow

ResizeWindow(width, height)

Resizes window to be width by height pixels.

Note: this command is only supported in the embedding interface or veusz_listen.

2.35.Save

Save('filename.vsz')

Save the current document under the filename given.

2.36.Set

Set('settingpath', val)

Set the setting given by the path to the value given. If the type of val is incorrect, an InvalidType exception is thrown. The path to the setting is the optional path to the widget the setting is contained within, an optional subsetting specifier, and the setting itself.

Set('page1/graph1/x/min', -10.)

2.37.SetAntiAliasing

SetAntiAliasing(on)

Enable or disable anti aliasing in the plot window, replotting the image.

2.38.SetData

SetData(name, val, symerr=None, negerr=None, poserr=None)

Set the dataset name with the values given. If None is given for an item, it will be left blank. val is the actual data, symerr are the symmetric errors, negerr and poserr and the getative and positive asymmetric errors. The data can be given as lists or numpys.

2.39.SetDataExpression

SetDataExpression(name, val, symerr=None, negerr=None, poserr=None, linked=False, parametric=None)

Create a new dataset based on the expressions given. The expressions are Python syntax expressions based on existing datasets.

If linked is True, the dataset will change as the datasets in the expressions change.

Parametric can be set to a tuple of (minval, maxval, numitems). t in the expression will iterate from minval to maxval in numitems values.

2.40.SetDataRange

SetDataRange(name, numsteps, val, symerr=None, negerr=None, poserr=None, linked=False)

Set dataset to be a range of values with numsteps steps. val is tuple made up of (minimum value, maximum value). symerr, negerr and poserr are optional tuples for the error bars.

If linked is True, the dataset can be saved in a document as a SetDataRange, otherwise it is expanded to the values which would make it up.

2.41.SetData2D

SetData2D('name', val, xrange=(A,B), yrange=(C,D), xgrid=[1,2,3...], ygrid=[4,5,6...])

Creates a two-dimensional dataset with the name given. val is either a two-dimensional numpy array, or is a list of lists, with each list in the list representing a row. Do not give xrange if xgrid is set and do not give yrange if ygrid is set, and vice versa.

xrange and yrange are optional tuples giving the inclusive range of the X and Y coordinates of the data. xgrid and ygrid are optional lists, tuples or arrays which give the coordinates of the edges of the pixels. There should be one more item in each array than pixels.

2.42.SetData2DExpression

SetData2DExpression('name', expr, linked=False)

Create a 2D dataset based on expressions. name is the new dataset name expr is an expression which should return a 2D array linked specifies whether to permanently link the dataset to the expressions.

2.43.SetData2DExpressionXYZ

SetData2DExpressionXYZ('name', 'xexpr', 'yexpr', 'zexpr', linked=False)

Create a 2D dataset based on three 1D expressions. The x, y expressions need to evaluate to a grid of x, y points, with the z expression as the 2D value at that point. Currently only linear fixed grids are supported. This function is intended to convert calculations or measurements at fixed points into a 2D dataset easily. Missing values are filled with NaN.

2.44.SetData2DXYFunc

SetData2DXYFunc('name', xstep, ystep, 'expr', linked=False)

Construct a 2D dataset using a mathematical expression of "x" and "y". The x values are specified as (min, max, step) in xstep as a tuple, the y values similarly. If linked remains as False, then a real 2D dataset is created, where values can be modified and the data are stored in the saved file.

2.45.SetDataDateTime

SetDataDateTime('name', vals)

Creates a datetime dataset of name given. vals is a list of Python datetime objects.

2.46.SetDataText

SetDataText(name, val)

Set the text dataset name with the values given. val must be a type that can be converted into a Python list.

SetDataText('mylabel', ['oranges', 'apples', 'pears', 'spam'])

2.47.SetToReference

SetToReference(setting, refval)

Set setting to match other setting refval always..

2.48.SetUpdateInterval

SetUpdateInterval(interval)

Tells window to update every interval milliseconds at most. The value 0 disables updates until this function is called with a non-zero. The value -1 tells Veusz to update the window every time the document has changed. This will make things slow if repeated changes are made to the document. Disabling updates and using the ForceUpdate command will allow the user to control updates directly.

Note: this command is only supported in the embedding interface or veusz_listen.

2.49.SetVerbose

SetVerbose(v=True)

If v is True, then extra information is printed out by commands.

2.50.StartSecondView

StartSecondView(name = 'window title')

In the embedding interface, this method will open a new Embedding interface onto the same document, returning the object. This new window provides a second view onto the document. It can, for instance, show a different page to the primary view. name is a window title for the new window.

Note: this command is only supported in the embedding interface.

2.51.TagDatasets

TagDatasets('tag', ['ds1', 'ds2'...])

Adds the tag to the list of datasets given..

2.52.To

To('widgetpath')

The To command takes a path to a widget and moves to that widget. For example, this may be "/", the root widget, "graph1", "/page1/graph1/x", "../x". The syntax is designed to mimic Unix paths for files. "/" represents the base widget (where the pages reside), and ".." represents the widget next up the tree.

2.53.Quit

Quit()

Quits Veusz. This is only supported in veusz_listen.

2.54.WaitForClose

WaitForClose()

Wait until the plotting window has been closed.

Note: this command is only supported in the embedding interface.

2.55.Zoom

Zoom(factor)

Sets the plot zoom factor, relative to a 1:1 scaling. factor can also be "width", "height" or "page", to zoom to the page width, height or page, respectively.

This is only supported in embedded mode or veusz_listen.

3.Security

With the 1.0 release of Veusz, input scripts and expressions are checked for possible security risks. Only a limited subset of Python functionality is allowed, or a dialog box is opened allowing the user to cancel the operation. Specifically you cannot import modules, get attributes of Python objects, access globals() or locals() or do any sort of file reading or manipulation. Basically anything which might break in Veusz or modify a system is not supported. In addition internal Veusz functions which can modify a system are also warned against, specifically Print(), Save() and Export().

If you are running your own scripts and do not want to be bothered by these dialogs, you can run veusz with the --unsafe-mode option.

Chapter4.Using Veusz from other programs

Table of Contents

1. Non-Qt Python programs
1.1. Older path-based interface
1.2. New-style object interface
1.3. Translating old to new style
2. PyQt4 programs
3. Non Python programs
4. C, C++ and Fortran

1.Non-Qt Python programs

Veusz can be used as a Python module for plotting data. There are two ways to use the module: (1) with an older path-based Veusz commands, used in Veusz saved document files or (2) using an object-oriented interface. With the old style method the user uses a unix-path inspired API to navigate the widget tree and add or manipulate widgets. With the new style interface, the user navigates the tree with attributes of the Root object to access Nodes. The new interface is likely to be easier to use unless you are directly translating saved files.

1.1.Older path-based interface

"""An example embedding program. Veusz needs to be installed into
the Python path for this to work (use setup.py)

This animates a sin plot, then finishes
"""

import time
import numpy
import veusz.embed as veusz

# construct a Veusz embedded window
# many of these can be opened at any time
g = veusz.Embedded('window title')
g.EnableToolbar()

# construct the plot
g.To( g.Add('page') )
g.To( g.Add('graph') )
g.Add('xy', marker='tiehorz', MarkerFill__color='green')

# this stops intelligent axis extending
g.Set('x/autoExtend', False)
g.Set('x/autoExtendZero', False)

# zoom out
g.Zoom(0.8)

# loop, changing the values of the x and y datasets
for i in range(10):
    x = numpy.arange(0+i/2., 7.+i/2., 0.05)
    y = numpy.sin(x)
    g.SetData('x', x)
    g.SetData('y', y)

    # wait to animate the graph
    time.sleep(2)

# let the user see the final result
print "Waiting for 10 seconds"
time.sleep(10)
print "Done!"

# close the window (this is not strictly necessary)
g.Close()

The embed interface has the methods listed in the command line interface listed in the Veusz manual http://home.gna.org/veusz/docs/manual.html

Multiple Windows are supported by creating more than one Embedded object. Other useful methods include:

  • WaitForClose() - wait until window has closed

  • GetClick() - return a list of (axis, value) tuples where the user clicks on a graph

  • ResizeWndow(width, height) - resize window to be width x height pixels

  • SetUpdateInterval(interval) - set update interval in ms or 0 to disable

  • MoveToPage(page) - display page given (starting from 1)

  • IsClosed() - has the page been closed

  • Zoom(factor) - set zoom level (float) or 'page', 'width', 'height'

  • Close() - close window

  • SetAntiAliasing(enable) - enable or disable antialiasing

  • EnableToolbar(enable=True) - enable plot toolbar

  • StartSecondView(name='Veusz') - start a second view onto the document of the current Embedded object. Returns a new Embedded object.

1.2.New-style object interface

In versions of Veusz >1.8 is a new style of object interface, which makes it easier to construct the widget tree. Each widget, group of settings or setting is stored as a Node object, or its subclass, in a tree. The root document widget can be accessed with the Root object. The dot operator "." finds children inside other nodes. In Veusz some widgets can contain other widgets (Root, pages, graphs, grids). Widgets contain setting nodes, accessed as attributes. Widgets can also contain groups of settings, again accessed as attributes.

An example tree for a document (not complete) might look like this

Root
\-- page1                     (page widget)
    \-- graph1                (graph widget)
        \--  x                (axis widget)
        \--  y                (axis widget)
        \-- function          (function widget)
    \-- grid1                 (grid widget)
        \-- graph2            (graph widget)
            \-- xy1           (xy widget)
                \-- xData     (setting)
                \-- yData     (setting)
                \-- PlotLine  (setting group)
                    \-- width (setting)
                    ...
                ...
            \-- x             (axis widget)
            \-- y             (axis widget)
        \-- graph3            (graph widget)
            \-- contour1      (contour widget)
            \-- x             (axis widget)
            \-- y             (axis widget)

Here the user could access the xData setting node of the xy1 widget using Root.page1.graph2.xy1.xData. To actually read or modify the value of a setting, you should get or set the val property of the setting node. The line width could be changed like this

graph = embed.Root.page1.graph2
graph.xy1.PlotLine.width.val = '2pt'

For instance, this constructs a simple x-squared plot which changes to x-cubed: 

import veusz.embed as veusz
import time

#  open a new window and return a new Embedded object
embed = veusz.Embedded('window title')
#  make a new page, but adding a page widget to the root widget
page = embed.Root.Add('page')
#  add a new graph widget to the page
graph = page.Add('graph')
#  add a function widget to the graph. The Add() method can take a list of settings
#  to set after widget creation. Here, "function='x**2'" is equivalent to
#  function.function.val = 'x**2'
function = graph.Add('function', function='x**2')

time.sleep(2)
function.function.val = 'x**3'
#  this is the same if the widgets have the default names
Root.page1.graph1.function1.function.val = 'x**3'

If the document contains a page called "page1" then Root.page1 is the object representing the page. Similarly, Root.page1.graph1 is a graph called graph1 in the page. You can also use dictionary-style indexing to get child widgets, e.g. Root['page1']['graph1']. This style is easier to use if the names of widgets contain spaces or if widget names shadow methods or properties of the Node object, i.e. if you do not control the widget names.

Widget nodes can contain as children other widgets, groups of settings, or settings. Groups of settings can contain child settings. Settings cannot contain other nodes. Here are the useful operations of Nodes: 

class Node(object):
  """properties:
    path - return path to object in document, e.g. /page1/graph1/function1
    type - type of node: "widget", "settinggroup" or "setting"
    name - name of this node, e.g. "graph1"
    children - a generator to return all the child Nodes of this Node, e.g.
      for c in Root.children:
        print c.path
    children_widgets - generator to return child widget Nodes of this Node
    children_settinggroups - generator for child setting groups of this Node
    children_settings - a generator to get the child settings
    childnames - return a list of the names of the children of this Node
    childnames_widgets - return a list of the names of the child widgets
    childnames_settinggroups - return a list of the names of the setting groups
    childnames_settings - return a list of the names of the settings
    parent - return the Node corresponding to the parent widget of this Node

    __getattr__ - get a child Node with name given, e.g. Root.page1
    __getitem__ - get a child Node with name given, e.g. Root['page1']
  """

  def fromPath(self, path):
     """Returns a new Node corresponding to the path given, e.g. '/page1/graph1'"""

class SettingNode(Node):
    """A node which corresponds to a setting. Extra properties:
    val - get or set the setting value corresponding to this value, e.g.
     Root.page1.graph1.leftMargin.val = '2cm'
    """

class SettingGroupNode(Node):
    """A node corresponding to a setting group. No extra properties."""

class WidgetNode(Node):
    """A node corresponding to a widget.

       property:
         widgettype - get Veusz type of widget

       Methods are below."""

    def WalkWidgets(self, widgettype=None):
        """Generator to walk widget tree and get widgets below this
        WidgetNode of type given.

        widgettype is a Veusz widget type name or None to get all
        widgets."""

    def Add(self, widgettype, *args, **args_opt):
        """Add a widget of the type given, returning the Node instance.
        """

    def Rename(self, newname):
        """Renames widget to name given.
        Existing Nodes corresponding to children are no longer valid."""

    def Action(self, action):
        """Applies action on widget."""

    def Remove(self):
        """Removes a widget and its children.
        Existing Nodes corresponding to children are no longer valid."""

Note that Nodes are temporary objects which are created on the fly. A real widget in Veusz can have several different WidgetNode objects. The operators == and != can test whether a Node points to the same widget, setting or setting group.

Here is an example to set all functions in the document to be x**2: 

for n in Root.WalkWidgets(widgettype='function'):
  n.function.val = 'x**2'

1.3.Translating old to new style

Here is an example how you might translate the old to new style interface (this is taken from the sin.vsz example). 

# old (from saved document file)
Add('page', name='page1')
To('page1')
Add('graph', name='graph1', autoadd=False)
To('graph1')
Add('axis', name='x')
To('x')
Set('label', '\\italic{x}')
To('..')
Add('axis', name='y')
To('y')
Set('label', 'sin \\italic{x}')
Set('direction', 'vertical')
To('..')
Add('xy', name='xy1')
To('xy1')
Set('MarkerFill/color', 'cyan')
To('..')
Add('function', name='function1')
To('function1')
Set('function', 'sin(x)')
Set('Line/color', 'red')
To('..')
To('..')
To('..')
	
# new (in python)
import veusz.embed
embed = veusz.embed.Embedded('window title')

page = embed.Root.Add('page')
# note: autoAdd=False stops graph automatically adding own axes (used in saved files)
graph = page.Add('graph', autoadd=False)
x = graph.Add('axis', name='x')
x.label.val = '\\italic{x}'
y = graph.Add('axis', name='y')
y.direction.val = 'vertical'
xy = graph.Add('xy')
xy.MarkerFill.color.val = 'cyan'
func = graph.Add('function')
func.function.val = 'sin(x)'
func.Line.color.val = 'red'

2.PyQt4 programs

There is no direct PyQt4 interface. The standard embedding interface should work, however.

3.Non Python programs

Support for non Python programs is available in a limited form. External programs may execute the veusz_listen executable or veusz_listen.py Python module. Veusz will read its input from the standard input, and write output to standard output. This is a full Python execution environment, and supports all the scripting commands mentioned in Commands, a Quit() command, the EnableToolbar() and the Zoom(factor) command listed above. Only one window is supported at once, but many veusz_listen programs may be started.

veusz_listen may be used from the shell command line by doing something like:

veusz_listen < in.vsz

where in.vsz contains:

To(Add('page') )
To(Add('graph') )
SetData('x', arange(20))
SetData('y', arange(20)**2)
Add('xy')
Zoom(0.5)
Export("foo.eps")
Quit()

A program may interface with Veusz in this way by using the popen C Unix function, which allows a program to be started having control of its standard input and output. Veusz can then be controlled by writing commands to an input pipe.

4.C, C++ and Fortran

A callable library interface to Veusz is on my todo list for C, C++ and Fortran. Please tell me if you would be interested in this option.

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Zn0UЂo':J*cw/}K \UJ˜\1ͭuXɓ'm1 U lK8:C|uv\3 tvݜEZ x;h5^dZ>W*-[ .+i\Nb[ ]0^|mkqu t.^7gmVe`T&zOcǎ|k_[reLϿu/?=uDSoAGA_.iEg9reˌy7mS >&a8FRTU $ ;Q2&[ğg?3 :Қgr~bIfb8y|q`Ʌ?R78[4Ob-ū~W@A̽f[Ζo2T`x/B,je+ 4]?37'5`&UVt]NGUUe]f꾜H$~## fLO߇v@Tg_r"c&>RB%IbJlgΉ],?W袋lJmKA c\$Jqm J"Ko5UV}C"n W)D݇SX,Z;^`^9R7H$)a =8d/l Nkz6"OMMzukWnsg/D8fP/%9#^*3^ɏ?Mk׮祗vၞnL |sB˚RJD7Jf+W K~'VB~岁ˇ4%֜Q*& SIq8+,hWw!LVL&e2iJ3+4('ĐPNc =Κ(l&I׵)%X k9 7:HT&İ0iRRk9L kY3F(%]BfYBf_02i5甆:XY L&,ܻ0CdYf9>Q)3dY͙uRJ gpJx,k27E*/ Ts޴{RqF8 F0n0/%%5'K #֔RL:ZB@55@@@b b b kkXXX 555@4M@9uVSۥdBeJi'`ЃX4wmZ@p֦餩j5ugߛi_JiN:mfL%j7b.> # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## import veusz.veusz_main veusz.veusz_main.run() veusz-1.21.1/scripts/veusz_listen0000664000175000017500000000177412237406466015321 0ustar jssjss#!/usr/bin/env python2 # Veusz listening script # # Copyright (C) 2008 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## import veusz.veusz_listen veusz.veusz_listen.run() veusz-1.21.1/icons/0000775000175000017500000000000012376130063012246 5ustar jssjssveusz-1.21.1/icons/error_barcurve.svg0000664000175000017500000000630612237406466016027 0ustar jssjss image/svg+xml Jeremy Sanders Copyright (C) Jeremy Sanders veusz-1.21.1/icons/button_grid.svg0000664000175000017500000000654712237406466015334 0ustar jssjss image/svg+xml Jeremy Sanders Copyright (C) Jeremy Sanders veusz-1.21.1/icons/kde-window-close.svg0000664000175000017500000001066512237406466016163 0ustar jssjss Part of the Flat Icon Collection (Thu Aug 26 14:38:01 2004)

  • </Agent> </publisher> <creator id="creator17"> <Agent id="Agent18" about=""> <title id="title19">Danny Allen Danny Allen image/svg+xml en image/svg+xml veusz-1.21.1/icons/veusz_32.png0000664000175000017500000000343112237406466014446 0ustar jssjssPNG  IHDR szzsBIT|d pHYs PtEXtSoftwarewww.inkscape.org<IDATXml[k׾NmTqo*W9(+Wc BfL+9a4| } i#',']z]~@)|Rk֌i0f< .2M=1fd1!4Yxح͓w3 Op?R#1fL\nKu3o&EDO_icLϺ HO [z-=EsknO6@O3`3kpG2 %=Y2Ʈuu=`L?դTt+V%@6]wW| cƣD?)c%J A1#7@bٯw'ݣ3~\݌~wʾ|R}>hd Gp|!ppu@D AOuݭmPhBGz{S Oc &NjYy\F|\[bcsnգ'OLq9}!\%Ii==wnϵG5Bβly}@Ddk[oh4F;( cnmF*;/(lӪ $|4aV3(n- +@..En£ a~(-NM:DJ xeU+(x`+lƴ?yr7n*SUL@H!I/204ӭ#I_1R`fg}͚zwR$/44Ha.%uQKew :q,=s!u.]ݻzC] ?4rV.DF00lRQyQ!ŝsBߝFت~߸+(\:Bhokpk_2:wj =}qOONde ~] (mizT=}F}mj meU텼5\#Gmgn\mnDpGA4 3L =zmWrB+q.HۗV\>y+~7!G=xlLawqd,gd{T@hE7+ Part of the Flat Icon Collection (Thu Aug 26 14:38:01 2004)
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  • </Agent> </publisher> <creator id="creator17"> <Agent id="Agent18" about=""> <title id="title19">Danny Allen Danny Allen image/svg+xml en image/svg+xml veusz-1.21.1/icons/button_contour.svg0000664000175000017500000001015512237406466016066 0ustar jssjss image/svg+xml Jeremy Sanders Copyright (C) Jeremy Sanders veusz-1.21.1/icons/button_ternary.svg0000664000175000017500000000554312237406466016066 0ustar jssjss image/svg+xml Jeremy Sanders Copyright (C) Jeremy Sanders veusz-1.21.1/icons/veusz-view-fullscreen.svg0000664000175000017500000002242312237406466017267 0ustar jssjss image/svg+xml Jeremy Sanders veusz-1.21.1/icons/button_nonorthpoint.svg0000664000175000017500000001066512237406466017144 0ustar jssjss image/svg+xml Jeremy Sanders Copyright (C) Jeremy Sanders veusz-1.21.1/icons/kde-dataset-new-veuszedit.svg0000664000175000017500000003032512237406466020000 0ustar jssjss Part of the Flat Icon Collection (Thu Aug 26 14:38:01 2004)
  • </Agent> </publisher> <creator id="creator26"> <Agent about="" id="Agent27"> <title id="title28">Danny Allen Danny Allen image/svg+xml en image/svg+xml veusz-1.21.1/icons/kde-go-next.svg0000664000175000017500000001154712237406466015132 0ustar jssjss Part of the Flat Icon Collection (Thu Aug 26 14:38:01 2004)
  • </Agent> </publisher> <creator id="creator17"> <Agent about="" id="Agent18"> <title id="title19">Danny Allen Danny Allen image/svg+xml en image/svg+xml veusz-1.21.1/icons/settings_subcontourline.svg0000664000175000017500000000625412237406466020002 0ustar jssjss image/svg+xml veusz-1.21.1/icons/error_barends.svg0000664000175000017500000000667512237406466015645 0ustar jssjss image/svg+xml Jeremy Sanders Copyright (C) Jeremy Sanders veusz-1.21.1/icons/button_fit.svg0000664000175000017500000001632212237406466015161 0ustar jssjss image/svg+xml Jeremy Sanders Copyright (C) Jeremy Sanders veusz-1.21.1/icons/settings_plotfillbelow.png0000664000175000017500000000046612237406466017571 0ustar jssjssPNG  IHDRabKGD pHYs  tIME &XtEXtCommentCreated with The GIMPd%nIDAT8c`Ƙ3gÇTRZ]Ξvbff8] !0řV!؎"(`śF4svX?!̸`Μ90!3302󟁁L±%x]% h@pXkRUiIENDB`veusz-1.21.1/icons/logo.png0000664000175000017500000003061112237406466013726 0ustar jssjssPNG  IHDRW-nX sBIT|d pHYsBBWFtEXtSoftwarewww.inkscape.org< IDATxyU'$2KN2YɦA  ʦl DQPEQ\AD"F,3&d;ݓ:U=S]U]=K}7TuMչn=瞻B5k~ X}-"ÛWx/ \W`C> y/nqS{4iQ rP2d00 d@wci_.);/ U- n||"$2NL`L(jE"%saY>DKD/'72|0$R$!GfE=/ W׽$=#fKl}'7J:os/)9䖗_:K$;` ydw} vE5ھ7HQ3\~a!  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  • </Agent> </publisher> <creator id="creator27"> <Agent about="" id="Agent28"> <title id="title29">Danny Allen Danny Allen image/svg+xml en image/svg+xml veusz-1.21.1/icons/settings_plotline.png0000664000175000017500000000050212237406466016530 0ustar jssjssPNG  IHDRabKGD pHYs  tIME .9ᮯtEXtCommentCreated with The GIMPd%nIDAT8c`\scDLIIA6.ݍ h Q\2{31 cFdC01aߴC/i3q{I3QˈYr%p5` 4Ǜc&$䙙33n33+У%!}x(p&$rIuSIENDB`veusz-1.21.1/icons/kde-zoom-out.svg0000664000175000017500000001343712237406466015342 0ustar jssjss Part of the Flat Icon Collection (Thu Aug 26 14:38:01 2004)
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&󓛎3A'>jW& ζ 87CV=xR&$KŹ}<]0\>{{'\y.x>џ,v)lb[;Zӧ#+ 㽃'[}Sv Ly%ImX n=(D@uvG"G 1WzL']p&w xc@ wW)RO2E5mݳV`} 7ەhHH( Br~ڵgrEhl{=k_]pnxIENDB`veusz-1.21.1/icons/error_boxfill.svg0000664000175000017500000000572312237406466015657 0ustar jssjss image/svg+xml Jeremy Sanders Copyright (C) Jeremy Sanders veusz-1.21.1/icons/button_bar.svg0000664000175000017500000000737712237406466015155 0ustar jssjss image/svg+xml Jeremy Sanders Copyright (C) Jeremy Sanders veusz-1.21.1/icons/kde-view-refresh.svg0000664000175000017500000001266712237406466016163 0ustar jssjss Part of the Flat Icon Collection (Thu Aug 26 14:38:01 2004) Danny Allen Danny Allen image/svg+xml en image/svg+xml veusz-1.21.1/icons/veusz_48.png0000664000175000017500000000532612237406466014462 0ustar jssjssPNG  IHDR00WsBIT|d pHYsgtEXtSoftwarewww.inkscape.org< SIDAThřl[ǿō&YHit l*6Aˀ1ѕ+_k&~i؆AGpЦ؎7a?9Cю{s=kREJ_x) Z= |J@ZqZG"jF_(BT5Zgn^3@ 5I$rGpB5s R>J ɪn>xBM>oO!RjU]S=ahvS.<5uʴO J#ogK!Rg2QWpA# *'"'u֭ˉ[,y/_`^X}+#B} wbmj_"mUs3P/<螱f rH#"[6@:Fɀ^79SUU= rn`Z跳OZ`ӑ|'U q2^񠠽BuQ ,gH,րM$i4/] mGD=fp4XfEr|Z?^c!ԭ9,*8@ #@syرo{AEb="O,׶qTh_.B>O:|Nj0Ry/ʀo$dQ~.h[-еHS1+m:6~Byv ##mE&Ó^mhaw*|vlɒ}B83kÃ=o@+ox 8|x {OD"/@K}+p>CDΈN; @J"FE cDMQYoh"z+Fms0NϚ$@¢ \ƵULDz!CQEvfK}Vl|˖%K'c}H'4||5נ~()v{F8l6xCm[n]U"2F%%2*1GhiAFn?(^z(^k8߷#\4KCd̑rqG^|K[[q{:(KpD3Ťk uu(fw# R"EI)dR+)F|@8ʀIw=@}FHO!xƝ@iUuqoKcĖo\x /Di10\W^Gx[k+,NIŧ9(#e1iQnc!6 WD]m,sm}tͣb $da2l }ñm %B[$?d}Z-2nHAʍm7(,~bP"0휺07æpߏw=^E6IF(JSDc\k s.sI]66XzǃI[sWrđ8|IF h".HL' ſO%` 7T!x i2auSc-`cAm5`u- DXG/'7i `u)[mG7){\}zzǾo' Nm]//ͫon؇U:ec~ @YNh W4Q VJ) TU;6q8ȠqsKY5$sە^bbWBmnipw |fh Ő~[$ iLdO?37s]MH]|e?::& Wx~Ǚ)NUÚIENDB`veusz-1.21.1/icons/veusz-capture-data.svg0000664000175000017500000001164212237406466016530 0ustar jssjss image/svg+xml Veusz capture data icon Jeremy Sanders Released under GPL veusz-1.21.1/icons/settings_plotmarkerfill.png0000664000175000017500000000053612237406466017740 0ustar jssjssPNG  IHDRabKGD pHYs  tIME .ntEXtCommentCreated with The GIMPd%nIDAT8R 0< d JW,ɮEa Z$gS $/l߽cDZd0Q%kOJy0խB$!>-TǝvB( .ugf XkqEӏl 9jO"yӹ"_YѹUJ Z FRFIENDB`veusz-1.21.1/icons/error_diamondfill.svg0000664000175000017500000000604312237406466016476 0ustar jssjss image/svg+xml Jeremy Sanders Copyright (C) Jeremy Sanders veusz-1.21.1/icons/kde-document-print.svg0000664000175000017500000001362112237406466016514 0ustar jssjss Part of the Flat Icon Collection (Thu Aug 26 14:39:51 2004)
  • </Agent> </publisher> <creator id="creator23"> <Agent about="" id="Agent24"> <title id="title25">Danny Allen Danny Allen image/svg+xml en image/svg+xml veusz-1.21.1/icons/error_bardiamond.svg0000664000175000017500000000570412237406466016317 0ustar jssjss image/svg+xml Jeremy Sanders Copyright (C) Jeremy Sanders veusz-1.21.1/icons/kde-clipboard.svg0000664000175000017500000001204512237406466015502 0ustar jssjss Part of the Flat Icon Collection (Thu Aug 26 14:38:01 2004)
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  • </Agent> </publisher> <creator id="creator24"> <Agent id="Agent25" about=""> <title id="title26">Danny Allen Danny Allen image/svg+xml en image/svg+xml veusz-1.21.1/icons/settings_ploterrorline.png0000664000175000017500000000064312237406466017610 0ustar jssjssPNG  IHDRabKGD pHYs  tIME 6DtEXtCommentCreated with The GIMPd%nIDAT8ݒ1n@EcPsrDJ)>@v#r27%m${4M+,!Jٙ̇r7lړ8 c Zk1,kt>?U"2v sNzqL^1;D,S&#iJtv+KfNP)ű'n`@EtZ9pZnG$cOn\bS8@$ 0HQhYkr eQ\HoFm[ۛIENDB`veusz-1.21.1/icons/button_vectorfield.svg0000664000175000017500000001140312237406466016700 0ustar jssjss image/svg+xml Jeremy Sanders Copyright (C) Jeremy Sanders veusz-1.21.1/icons/settings_axisticklabels.png0000664000175000017500000000040412237406466017705 0ustar jssjssPNG  IHDRabKGD pHYs  tIME  ZtEXtCommentCreated with The GIMPd%nhIDAT8!PE#MH vek@Χm*j&ory Rxa F Kp `熩tPxEpQ9my-o7OplkIENDB`veusz-1.21.1/icons/kde-edit-copy.svg0000664000175000017500000001464412237406466015447 0ustar jssjss Part of the Flat Icon Collection (Thu Aug 26 14:38:01 2004)
  • </Agent> </publisher> <creator id="creator19"> <Agent about="" id="Agent20"> <title id="title21">Danny Allen Danny Allen image/svg+xml en image/svg+xml veusz-1.21.1/icons/button_axis-function.svg0000664000175000017500000002052112237406466017162 0ustar jssjss image/svg+xml Jeremy Sanders Copyright (C) Jeremy Sanders veusz-1.21.1/icons/button_rect.svg0000664000175000017500000000456512237406466015342 0ustar jssjss image/svg+xml Jeremy Sanders Copyright (C) Jeremy Sanders veusz-1.21.1/icons/button_polygon.svg0000664000175000017500000000544112237406466016066 0ustar jssjss image/svg+xml Jeremy Sanders Copyright (C) Jeremy Sanders veusz-1.21.1/icons/settings_main.png0000664000175000017500000000043312237406466015631 0ustar jssjssPNG  IHDRabKGD pHYs  tIME  &!jfIDAT8c`hO^d D1fk@9##rF  t۱+mp>W`lll80c#A1\v|!\۱yY̐:Cātys 'oҒxtd9h9EM=IENDB`veusz-1.21.1/icons/kde-document-new.svg0000664000175000017500000001561712237406466016160 0ustar jssjss Part of the Flat Icon Collection (Thu Aug 26 14:38:01 2004)
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  • </Agent> </publisher> <creator id="creator28"> <Agent id="Agent29" about=""> <title id="title30">Danny Allen Danny Allen image/svg+xml en image/svg+xml veusz-1.21.1/icons/button_xy.svg0000664000175000017500000001574112237406466015043 0ustar jssjss image/svg+xml Jeremy Sanders Copyright (C) Jeremy Sanders veusz-1.21.1/icons/settings_axisminorgridlines.png0000664000175000017500000000047512237406466020625 0ustar jssjssPNG  IHDRasRGBbKGD pHYs  tIME {NtEXtCommentCreated with The GIMPd%nIDAT8c`ظqrh&J-gkFQQobTUS#H3 %%.@^1/À9s"/0@4H0pL aL6n܈Uu *Fƙ)^.AIENDB`veusz-1.21.1/icons/error_barbox.svg0000664000175000017500000000556312237406466015477 0ustar jssjss image/svg+xml Jeremy Sanders Copyright (C) Jeremy Sanders veusz-1.21.1/icons/kde-dataset2d-new-veuszedit.svg0000664000175000017500000003560012237406466020227 0ustar jssjss Part of the Flat Icon Collection (Thu Aug 26 14:38:01 2004)
  • </Agent> </publisher> <creator id="creator26"> <Agent about="" id="Agent27"> <title id="title28">Danny Allen Danny Allen image/svg+xml en image/svg+xml veusz-1.21.1/icons/veusz.ico0000664000175000017500000003535612237406466014143 0ustar jssjss h6  00 %F(  nmHHHHёkC;  ? 3311..,,k`%%##!!CRkMMKKIIFF==z::886644йѲ,Jjjggeecc``ʤWWUURRPPNNLLs߿ „'||zzk ЈtqPmmjjhheeccϞIΛ͙̗ʔ`kćÄ}}ܸk۵ڳرׯ`Р'ϞΜ͚̗˕<.!ҍɲ`ܸ۶ڴٲׯЭ֭Ѝ8rQ`Ѳ lr`X}]S`ZZbbhhmmsszz3`361''7''''))//55`Nssyy~~>$$Y$$%%%%%%`--55::@@FFMMe""{""""""##]%%m&&&&&&&&'' U########$$$$N{g @!!!!!!!!""1 tF $U?)^$57e,}sFuvxyz0. ޔbhdegh)P,R S U V X !stuwyA C D E G b(cefhiX02356S T V W X Z !"$&s B C E F H I  {/???(0` '!+%)#/)ѺѬџёуugYL=/!2:aP^p\uOДVV~jg uғ[\80F-WH? QFѪ te"Z1''&&$$##!! Aр\88(775544221100˩)) ((&&$$##!! /;Ҙ ]@JJJIIGGEEDDBBAAɓ99W886644221100..))Hңх [[lZZYYVVUUTTRRѐIIGGFFDDBBAA??Pcf5mmkkjjhhggeeccѐZZ.YYWWVVTTRRQQOOT~~||{{zzxxwwuuѐ_/jjhhggeeddbb``__ ȐҎǎnjƋʼnĈćѐ,z||zzxxwwuuttrrppѡРϞΜΛ͙̘gѐ; ƌhʼnĈćń‚$ڴٲرد׮֬ժթGѐϝΛϙ͙̘˖˕ʓɒ 8߾޼ݺ'ѐ֭<֫ժԨӦҥңѢN_`ҁ5Zѐ1?޼ݻݺܷ۶ڵڳ޲ٲ*ҙD^Й0|ѐkѫ  ѐ1y ѐћ ȇѐMH~~gѐնQQ&UUYY\\bbffjjmmGѐ&xW ''H((++//3388<<@@'ѐ0||l&&j&&&&&&&&&&&&''ѐ<ЈOO SSWWZZ``ddhhkk$$$$$$$$$$%%%%ѐ''^))--1177::>>BBB""""""########ь&&&&&&&&&&&&'''''' !!!!!!!!!!х$$3$$$$%%%%%%%%%%r }4##############$$ gv`ѽP!!!!!!!!!!""""""C۶6Go<ҁo <X'g6z`GBlX56Qjqwxyy{|}I 6A7klmnnoqrB ˑ_$abbcdefg;SfT FU V W X YZ[G3uvwxyz{|I hJ K L M N O P ', j+klmnopq> ? @ A B C D E $ %`abcdefg23456789 &U V V W YZ[\\((*+,-.K dK L M O P Q Q ` !""? @ A B C D E F G 9  ~?//?/;//8.</|/ooooooo???veusz-1.21.1/icons/veusz-edit-custom.svg0000664000175000017500000002321612237406466016413 0ustar jssjss Part of the Flat Icon Collection (Thu Aug 26 14:40:13 2004)
  • </Agent> </publisher> <creator id="creator30"> <Agent id="Agent31" about=""> <title id="title32">Danny Allen Danny Allen image/svg+xml en image/svg+xml veusz-1.21.1/icons/button_ellipse.svg0000664000175000017500000000515212237406466016033 0ustar jssjss image/svg+xml Jeremy Sanders Copyright (C) Jeremy Sanders veusz-1.21.1/icons/kde-zoom-width-veuszedit.svg0000664000175000017500000001433212237406466017665 0ustar jssjss Part of the Flat Icon Collection (Thu Aug 26 14:38:01 2004)
  • </Agent> </publisher> <creator id="creator24"> <Agent id="Agent25" about=""> <title id="title26">Danny Allen Danny Allen image/svg+xml en image/svg+xml veusz-1.21.1/icons/button_key.svg0000664000175000017500000002073512237406466015172 0ustar jssjss image/svg+xml Jeremy Sanders Copyright (C) Jeremy Sanders veusz-1.21.1/icons/button_colorbar.svg0000664000175000017500000000671412237406466016206 0ustar jssjss image/svg+xml Jeremy Sanders Copyright (C) Jeremy Sanders veusz-1.21.1/icons/settings_axismajorticks.png0000664000175000017500000000047212237406466017743 0ustar jssjssPNG  IHDRabKGDC pHYs  tIME 1#;tEXtCommentCreated with The GIMPd%nIDAT8c`Ƙ3gÇTRZ]C?33^5Ll1?33X1!{o B20V7 %%SZ 8C,⽀+ Part of the Flat Icon Collection (Thu Aug 26 14:38:01 2004)
  • </Agent> </publisher> <creator id="creator24"> <Agent id="Agent25" about=""> <title id="title26">Danny Allen Danny Allen image/svg+xml en image/svg+xml veusz-1.21.1/icons/veusz-edit-cut.svg0000664000175000017500000001262012237406466015671 0ustar jssjss image/svg+xml Jeremy Sanders Copyright Jeremy Sanders Released under the GPL veusz-1.21.1/icons/error_none.svg0000664000175000017500000000422212237406466015150 0ustar jssjss image/svg+xml Jeremy Sanders Copyright (C) Jeremy Sanders veusz-1.21.1/icons/veusz.svg0000664000175000017500000006514512237406466014167 0ustar jssjss image/svg+xml veusz-1.21.1/icons/veusz-edit-prefs.svg0000664000175000017500000001513212237406466016216 0ustar jssjss Part of the Flat Icon Collection (Thu Aug 26 14:40:13 2004)
  • </Agent> </publisher> <creator id="creator30"> <Agent id="Agent31" about=""> <title id="title32">Danny Allen Danny Allen image/svg+xml en image/svg+xml veusz-1.21.1/icons/LICENSE-icons0000664000175000017500000000572012237406466014401 0ustar jssjssThe icons are licensed as follows: ---------------------------------- button_*.svg, error_*.svg, veusz*.svg, settings_*.png, logo.png, link.png, downarrow*png, veusz.ico, veusz*.png, veusz.icns Veusz icons Copyright (C) 2008 Jeremy Sanders This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. kde_*.svg: Icons taken from the KDE project. The copyright is as follows: ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ This copyright and license notice covers all Primary images. Note the license notice contains an add-on. ******************************************************************************** Primary iconset Copyright (C) 2007 Danny Allen This library is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, version 2.1 of the License. This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details. You should have received a copy of the GNU Lesser General Public License along with this library; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA **** NOTE THIS ADD-ON **** The GNU Lesser General Public License or LGPL is written for software libraries in the first place. We expressly want the LGPL to be valid for this artwork library too. Primary iconset is a special kind of software library, it is an artwork library, its elements can be used in a Graphical User Interface, or GUI. Source code, for this library means: - for vectors svg; - for pixels, if applicable, the multi-layered formats xcf or psd, or otherwise png. The LGPL in some sections obliges you to make the files carry notices. With images this is in some cases impossible or hardly useful. With this library a notice is placed at a prominent place in the directory containing the elements. You may follow this practice. The exception in section 6 of the GNU Lesser General Public License covers the use of elements of this art library in a GUI. ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ veusz-1.21.1/icons/downarrow.png0000664000175000017500000000034212237406466015006 0ustar jssjssPNG  IHDR Vu\bKGD pHYs  tIME $tEXtCommentCreated with The GIMPd%nFIDAT(cd```hnn@e$Z1`&X؄ƈn#!؜ĈO1.?03(%5040b_SIENDB`veusz-1.21.1/icons/settings_axisminorticks.png0000664000175000017500000000047612237406466017763 0ustar jssjssPNG  IHDRabKGD pHYs  tIME q"=tEXtCommentCreated with The GIMPd%nIDAT8R; 0 }s@ t| ,QRV1,=\kוq)!0des׬Wַ8%P!GOηK $YaL !"DCri!y}{>tEhIENDB`veusz-1.21.1/icons/kde-edit-veuszedit.svg0000664000175000017500000002203012237406466016503 0ustar jssjss Part of the Flat Icon Collection (Thu Aug 26 14:31:40 2004)
  • </Agent> </publisher> <creator id="creator34"> <Agent id="Agent35" about=""> <title id="title36">Danny Allen Danny Allen image/svg+xml en image/svg+xml veusz-1.21.1/icons/kde-mouse-pointer.svg0000664000175000017500000000730212237406466016351 0ustar jssjss Part of the Flat Icon Collection (Thu Aug 26 14:38:01 2004)
  • </Agent> </publisher> <creator id="creator17"> <Agent id="Agent18" about=""> <title id="title19">Danny Allen Danny Allen image/svg+xml en image/svg+xml veusz-1.21.1/icons/settings_contourfill.svg0000664000175000017500000000375112237406466017266 0ustar jssjss image/svg+xml veusz-1.21.1/icons/kde-zoom-height-veuszedit.svg0000664000175000017500000001442112237406466020015 0ustar jssjss Part of the Flat Icon Collection (Thu Aug 26 14:38:01 2004)
  • </Agent> </publisher> <creator id="creator24"> <Agent id="Agent25" about=""> <title id="title26">Danny Allen Danny Allen image/svg+xml en image/svg+xml veusz-1.21.1/icons/error_box.svg0000664000175000017500000000567112237406466015012 0ustar jssjss image/svg+xml Jeremy Sanders Copyright (C) Jeremy Sanders veusz-1.21.1/icons/kde-zoom-in.svg0000664000175000017500000001506712237406466015142 0ustar jssjss Part of the Flat Icon Collection (Thu Aug 26 14:38:01 2004)
  • </Agent> </publisher> <creator id="creator24"> <Agent id="Agent25" about=""> <title id="title26">Danny Allen Danny Allen image/svg+xml en image/svg+xml veusz-1.21.1/icons/veusz.png0000664000175000017500000000063512237406466014145 0ustar jssjssPNG  IHDRh6 pHYs  tIME  tEXtCommentCreated with The GIMPd%nIDAT(c?)4 $aocns0P<8l87(2Nɳ@.vH] q?C˼s9>7:G)ˋ7~uL7_Z $ƆI3ܿnEEs诛 !! '3QFFFD|74t}U߈a5crg2^'ik39b %ʍB=:q3HJg$5yi CK*IENDB`veusz-1.21.1/icons/kde-edit-redo.svg0000664000175000017500000000764412237406466015430 0ustar jssjss Part of the Flat Icon Collection (Thu Aug 26 14:40:13 2004)
  • </Agent> </publisher> <creator id="creator30"> <Agent id="Agent31" about=""> <title id="title32">Danny Allen Danny Allen image/svg+xml en image/svg+xml veusz-1.21.1/icons/button_page.svg0000664000175000017500000000655212237406466015317 0ustar jssjss image/svg+xml Jeremy Sanders Copyright (C) Jeremy Sanders veusz-1.21.1/icons/settings_plotfillabove.png0000664000175000017500000000047712237406466017557 0ustar jssjssPNG  IHDRabKGD pHYs  tIME !=tEXtCommentCreated with The GIMPd%nIDAT8R 07P0C& X uwy!qH"q}>?"8V@͇.:5Mqi[dĜ~f\F$,'\gU_LsB^OhA5 &Gni<}Afa\Sk a#mZ䰩?IENDB`veusz-1.21.1/icons/veusz-pick-data.svg0000664000175000017500000000510112237406466016004 0ustar jssjss image/svg+xml veusz-1.21.1/COPYING0000664000175000017500000004310312237406466012200 0ustar jssjss GNU GENERAL PUBLIC LICENSE Version 2, June 1991 Copyright (C) 1989, 1991 Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. Preamble The licenses for most software are designed to take away your freedom to share and change it. By contrast, the GNU General Public License is intended to guarantee your freedom to share and change free software--to make sure the software is free for all its users. This General Public License applies to most of the Free Software Foundation's software and to any other program whose authors commit to using it. (Some other Free Software Foundation software is covered by the GNU Lesser General Public License instead.) You can apply it to your programs, too. When we speak of free software, we are referring to freedom, not price. Our General Public Licenses are designed to make sure that you have the freedom to distribute copies of free software (and charge for this service if you wish), that you receive source code or can get it if you want it, that you can change the software or use pieces of it in new free programs; and that you know you can do these things. To protect your rights, we need to make restrictions that forbid anyone to deny you these rights or to ask you to surrender the rights. These restrictions translate to certain responsibilities for you if you distribute copies of the software, or if you modify it. For example, if you distribute copies of such a program, whether gratis or for a fee, you must give the recipients all the rights that you have. You must make sure that they, too, receive or can get the source code. And you must show them these terms so they know their rights. We protect your rights with two steps: (1) copyright the software, and (2) offer you this license which gives you legal permission to copy, distribute and/or modify the software. Also, for each author's protection and ours, we want to make certain that everyone understands that there is no warranty for this free software. If the software is modified by someone else and passed on, we want its recipients to know that what they have is not the original, so that any problems introduced by others will not reflect on the original authors' reputations. Finally, any free program is threatened constantly by software patents. We wish to avoid the danger that redistributors of a free program will individually obtain patent licenses, in effect making the program proprietary. To prevent this, we have made it clear that any patent must be licensed for everyone's free use or not licensed at all. The precise terms and conditions for copying, distribution and modification follow. GNU GENERAL PUBLIC LICENSE TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION 0. This License applies to any program or other work which contains a notice placed by the copyright holder saying it may be distributed under the terms of this General Public License. The "Program", below, refers to any such program or work, and a "work based on the Program" means either the Program or any derivative work under copyright law: that is to say, a work containing the Program or a portion of it, either verbatim or with modifications and/or translated into another language. (Hereinafter, translation is included without limitation in the term "modification".) Each licensee is addressed as "you". Activities other than copying, distribution and modification are not covered by this License; they are outside its scope. The act of running the Program is not restricted, and the output from the Program is covered only if its contents constitute a work based on the Program (independent of having been made by running the Program). Whether that is true depends on what the Program does. 1. You may copy and distribute verbatim copies of the Program's source code as you receive it, in any medium, provided that you conspicuously and appropriately publish on each copy an appropriate copyright notice and disclaimer of warranty; keep intact all the notices that refer to this License and to the absence of any warranty; and give any other recipients of the Program a copy of this License along with the Program. You may charge a fee for the physical act of transferring a copy, and you may at your option offer warranty protection in exchange for a fee. 2. You may modify your copy or copies of the Program or any portion of it, thus forming a work based on the Program, and copy and distribute such modifications or work under the terms of Section 1 above, provided that you also meet all of these conditions: a) You must cause the modified files to carry prominent notices stating that you changed the files and the date of any change. b) You must cause any work that you distribute or publish, that in whole or in part contains or is derived from the Program or any part thereof, to be licensed as a whole at no charge to all third parties under the terms of this License. c) If the modified program normally reads commands interactively when run, you must cause it, when started running for such interactive use in the most ordinary way, to print or display an announcement including an appropriate copyright notice and a notice that there is no warranty (or else, saying that you provide a warranty) and that users may redistribute the program under these conditions, and telling the user how to view a copy of this License. (Exception: if the Program itself is interactive but does not normally print such an announcement, your work based on the Program is not required to print an announcement.) These requirements apply to the modified work as a whole. If identifiable sections of that work are not derived from the Program, and can be reasonably considered independent and separate works in themselves, then this License, and its terms, do not apply to those sections when you distribute them as separate works. But when you distribute the same sections as part of a whole which is a work based on the Program, the distribution of the whole must be on the terms of this License, whose permissions for other licensees extend to the entire whole, and thus to each and every part regardless of who wrote it. Thus, it is not the intent of this section to claim rights or contest your rights to work written entirely by you; rather, the intent is to exercise the right to control the distribution of derivative or collective works based on the Program. In addition, mere aggregation of another work not based on the Program with the Program (or with a work based on the Program) on a volume of a storage or distribution medium does not bring the other work under the scope of this License. 3. You may copy and distribute the Program (or a work based on it, under Section 2) in object code or executable form under the terms of Sections 1 and 2 above provided that you also do one of the following: a) Accompany it with the complete corresponding machine-readable source code, which must be distributed under the terms of Sections 1 and 2 above on a medium customarily used for software interchange; or, b) Accompany it with a written offer, valid for at least three years, to give any third party, for a charge no more than your cost of physically performing source distribution, a complete machine-readable copy of the corresponding source code, to be distributed under the terms of Sections 1 and 2 above on a medium customarily used for software interchange; or, c) Accompany it with the information you received as to the offer to distribute corresponding source code. (This alternative is allowed only for noncommercial distribution and only if you received the program in object code or executable form with such an offer, in accord with Subsection b above.) The source code for a work means the preferred form of the work for making modifications to it. For an executable work, complete source code means all the source code for all modules it contains, plus any associated interface definition files, plus the scripts used to control compilation and installation of the executable. However, as a special exception, the source code distributed need not include anything that is normally distributed (in either source or binary form) with the major components (compiler, kernel, and so on) of the operating system on which the executable runs, unless that component itself accompanies the executable. If distribution of executable or object code is made by offering access to copy from a designated place, then offering equivalent access to copy the source code from the same place counts as distribution of the source code, even though third parties are not compelled to copy the source along with the object code. 4. You may not copy, modify, sublicense, or distribute the Program except as expressly provided under this License. Any attempt otherwise to copy, modify, sublicense or distribute the Program is void, and will automatically terminate your rights under this License. However, parties who have received copies, or rights, from you under this License will not have their licenses terminated so long as such parties remain in full compliance. 5. You are not required to accept this License, since you have not signed it. However, nothing else grants you permission to modify or distribute the Program or its derivative works. These actions are prohibited by law if you do not accept this License. Therefore, by modifying or distributing the Program (or any work based on the Program), you indicate your acceptance of this License to do so, and all its terms and conditions for copying, distributing or modifying the Program or works based on it. 6. Each time you redistribute the Program (or any work based on the Program), the recipient automatically receives a license from the original licensor to copy, distribute or modify the Program subject to these terms and conditions. You may not impose any further restrictions on the recipients' exercise of the rights granted herein. You are not responsible for enforcing compliance by third parties to this License. 7. If, as a consequence of a court judgment or allegation of patent infringement or for any other reason (not limited to patent issues), conditions are imposed on you (whether by court order, agreement or otherwise) that contradict the conditions of this License, they do not excuse you from the conditions of this License. If you cannot distribute so as to satisfy simultaneously your obligations under this License and any other pertinent obligations, then as a consequence you may not distribute the Program at all. For example, if a patent license would not permit royalty-free redistribution of the Program by all those who receive copies directly or indirectly through you, then the only way you could satisfy both it and this License would be to refrain entirely from distribution of the Program. If any portion of this section is held invalid or unenforceable under any particular circumstance, the balance of the section is intended to apply and the section as a whole is intended to apply in other circumstances. It is not the purpose of this section to induce you to infringe any patents or other property right claims or to contest validity of any such claims; this section has the sole purpose of protecting the integrity of the free software distribution system, which is implemented by public license practices. Many people have made generous contributions to the wide range of software distributed through that system in reliance on consistent application of that system; it is up to the author/donor to decide if he or she is willing to distribute software through any other system and a licensee cannot impose that choice. This section is intended to make thoroughly clear what is believed to be a consequence of the rest of this License. 8. If the distribution and/or use of the Program is restricted in certain countries either by patents or by copyrighted interfaces, the original copyright holder who places the Program under this License may add an explicit geographical distribution limitation excluding those countries, so that distribution is permitted only in or among countries not thus excluded. In such case, this License incorporates the limitation as if written in the body of this License. 9. The Free Software Foundation may publish revised and/or new versions of the General Public License from time to time. Such new versions will be similar in spirit to the present version, but may differ in detail to address new problems or concerns. Each version is given a distinguishing version number. If the Program specifies a version number of this License which applies to it and "any later version", you have the option of following the terms and conditions either of that version or of any later version published by the Free Software Foundation. If the Program does not specify a version number of this License, you may choose any version ever published by the Free Software Foundation. 10. If you wish to incorporate parts of the Program into other free programs whose distribution conditions are different, write to the author to ask for permission. For software which is copyrighted by the Free Software Foundation, write to the Free Software Foundation; we sometimes make exceptions for this. Our decision will be guided by the two goals of preserving the free status of all derivatives of our free software and of promoting the sharing and reuse of software generally. NO WARRANTY 11. BECAUSE THE PROGRAM IS LICENSED FREE OF CHARGE, THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION. 12. IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MAY MODIFY AND/OR REDISTRIBUTE THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. END OF TERMS AND CONDITIONS How to Apply These Terms to Your New Programs If you develop a new program, and you want it to be of the greatest possible use to the public, the best way to achieve this is to make it free software which everyone can redistribute and change under these terms. To do so, attach the following notices to the program. It is safest to attach them to the start of each source file to most effectively convey the exclusion of warranty; and each file should have at least the "copyright" line and a pointer to where the full notice is found. Copyright (C) This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. Also add information on how to contact you by electronic and paper mail. If the program is interactive, make it output a short notice like this when it starts in an interactive mode: Gnomovision version 69, Copyright (C) year name of author Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w'. This is free software, and you are welcome to redistribute it under certain conditions; type `show c' for details. The hypothetical commands `show w' and `show c' should show the appropriate parts of the General Public License. Of course, the commands you use may be called something other than `show w' and `show c'; they could even be mouse-clicks or menu items--whatever suits your program. You should also get your employer (if you work as a programmer) or your school, if any, to sign a "copyright disclaimer" for the program, if necessary. Here is a sample; alter the names: Yoyodyne, Inc., hereby disclaims all copyright interest in the program `Gnomovision' (which makes passes at compilers) written by James Hacker. , 1 April 1989 Ty Coon, President of Vice This General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the GNU Lesser General Public License instead of this License. veusz-1.21.1/VERSION0000664000175000017500000000000712376130006012175 0ustar jssjss1.21.1 veusz-1.21.1/AUTHORS0000664000175000017500000000015212237406466012212 0ustar jssjssJeremy Sanders http://www.jeremysanders.net/ James Graham veusz-1.21.1/veusz/0000775000175000017500000000000012376130063012307 5ustar jssjssveusz-1.21.1/veusz/qtall.py0000644000175000017500000000276712273225057014014 0ustar jssjss# Copyright (C) 2008 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """A convenience module to import both the used Qt symbols from.""" from __future__ import division import sys import os # disable KDE specific dialog boxes as they are currently broken if sys.platform != 'win32' and sys.platform != 'darwin': os.environ['QT_PLATFORM_PLUGIN'] = 'none' import sip sip.setapi('QDate', 2) sip.setapi('QDateTime', 2) sip.setapi('QString', 2) sip.setapi('QTextStream', 2) sip.setapi('QTime', 2) sip.setapi('QUrl', 2) sip.setapi('QVariant', 2) isdeleted = sip.isdeleted from PyQt4.QtCore import * from PyQt4.QtGui import * from PyQt4.QtSvg import * from PyQt4.uic import loadUi veusz-1.21.1/veusz/widgets/0000775000175000017500000000000012376130063013755 5ustar jssjssveusz-1.21.1/veusz/widgets/point.py0000644000175000017500000010557512327177747015513 0ustar jssjss# Copyright (C) 2008 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### """For plotting xy points.""" from __future__ import division import numpy as N from ..compat import czip from .. import qtall as qt4 from .. import document from .. import setting from .. import utils from . import pickable from .plotters import GenericPlotter try: from ..helpers import qtloops hasqtloops = True except ImportError: hasqtloops = False def _(text, disambiguation=None, context='XY'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) # functions for plotting error bars # different styles are made up of combinations of these functions # each function takes the same arguments def _errorBarsBar(style, xmin, xmax, ymin, ymax, xplotter, yplotter, s, painter, clip): """Draw bar style error lines.""" # vertical error bars if ymin is not None and ymax is not None and not s.ErrorBarLine.hideVert: utils.plotLinesToPainter(painter, xplotter, ymin, xplotter, ymax, clip) # horizontal error bars if xmin is not None and xmax is not None and not s.ErrorBarLine.hideHorz: utils.plotLinesToPainter(painter, xmin, yplotter, xmax, yplotter, clip) def _errorBarsEnds(style, xmin, xmax, ymin, ymax, xplotter, yplotter, s, painter, clip): """Draw perpendiclar ends on error bars.""" size = ( s.get('markerSize').convert(painter) * s.ErrorBarLine.endsize ) if ymin is not None and ymax is not None and not s.ErrorBarLine.hideVert: utils.plotLinesToPainter(painter, xplotter-size, ymin, xplotter+size, ymin, clip) utils.plotLinesToPainter(painter, xplotter-size, ymax, xplotter+size, ymax, clip) if xmin is not None and xmax is not None and not s.ErrorBarLine.hideHorz: utils.plotLinesToPainter(painter, xmin, yplotter-size, xmin, yplotter+size, clip) utils.plotLinesToPainter(painter, xmax, yplotter-size, xmax, yplotter+size, clip) def _errorBarsBox(style, xmin, xmax, ymin, ymax, xplotter, yplotter, s, painter, clip): """Draw box around error region.""" if None not in (xmin, xmax, ymin, ymax): painter.setBrush( qt4.QBrush() ) utils.plotBoxesToPainter(painter, xmin, ymin, xmax, ymax, clip) def _errorBarsBoxFilled(style, xmin, xmax, ymin, ymax, xplotter, yplotter, s, painter, clip): """Draw box filled region inside error bars.""" if None not in (xmin, xmax, ymin, ymax): # filled region below if not s.FillBelow.hideerror: path = qt4.QPainterPath() utils.addNumpyPolygonToPath(path, clip, xmin, ymin, xmin, yplotter, xmax, yplotter, xmax, ymin) utils.brushExtFillPath(painter, s.FillBelow, path, ignorehide=True) # filled region above if not s.FillAbove.hideerror: path = qt4.QPainterPath() utils.addNumpyPolygonToPath(path, clip, xmin, yplotter, xmax, yplotter, xmax, ymax, xmin, ymax) utils.brushExtFillPath(painter, s.FillAbove, path, ignorehide=True) def _errorBarsDiamond(style, xmin, xmax, ymin, ymax, xplotter, yplotter, s, painter, clip): """Draw diamond around error region.""" if None not in (xmin, xmax, ymin, ymax): # expand clip by pen width (urgh) pw = painter.pen().widthF()*2 clip = qt4.QRectF(qt4.QPointF(clip.left()-pw,clip.top()-pw), qt4.QPointF(clip.right()+pw,clip.bottom()+pw)) path = qt4.QPainterPath() utils.addNumpyPolygonToPath(path, clip, xmin, yplotter, xplotter, ymax, xmax, yplotter, xplotter, ymin) painter.setBrush( qt4.QBrush() ) painter.drawPath(path) def _errorBarsDiamondFilled(style, xmin, xmax, ymin, ymax, xplotter, yplotter, s, painter, clip): """Draw diamond filled region inside error bars.""" if None not in (xmin, xmax, ymin, ymax): if not s.FillBelow.hideerror: path = qt4.QPainterPath() utils.addNumpyPolygonToPath(path, clip, xmin, yplotter, xplotter, ymin, xmax, yplotter) utils.brushExtFillPath(painter, s.FillBelow, path, ignorehide=True) if not s.FillAbove.hideerror: path = qt4.QPainterPath() utils.addNumpyPolygonToPath(path, clip, xmin, yplotter, xplotter, ymax, xmax, yplotter) utils.brushExtFillPath(painter, s.FillAbove, path, ignorehide=True) def _errorBarsCurve(style, xmin, xmax, ymin, ymax, xplotter, yplotter, s, painter, clip): """Draw curve around error region.""" if None not in (xmin, xmax, ymin, ymax): # non-filling brush painter.setBrush( qt4.QBrush() ) for xp, yp, xmn, ymn, xmx, ymx in czip( xplotter, yplotter, xmin, ymin, xmax, ymax): p = qt4.QPainterPath() p.moveTo(xp + (xmx-xp), yp) p.arcTo(qt4.QRectF(xp - (xmx-xp), yp - (yp-ymx), (xmx-xp)*2, (yp-ymx)*2), 0., 90.) p.arcTo(qt4.QRectF(xp - (xp-xmn), yp - (yp-ymx), (xp-xmn)*2, (yp-ymx)*2), 90., 90.) p.arcTo(qt4.QRectF(xp - (xp-xmn), yp - (ymn-yp), (xp-xmn)*2, (ymn-yp)*2), 180., 90.) p.arcTo(qt4.QRectF(xp - (xmx-xp), yp - (ymn-yp), (xmx-xp)*2, (ymn-yp)*2), 270., 90.) painter.drawPath(p) def _errorBarsCurveFilled(style, xmin, xmax, ymin, ymax, xplotter, yplotter, s, painter, clip): """Fill area around error region.""" if None not in (xmin, xmax, ymin, ymax): for xp, yp, xmn, ymn, xmx, ymx in czip( xplotter, yplotter, xmin, ymin, xmax, ymax): if not s.FillAbove.hideerror: p = qt4.QPainterPath() p.moveTo(xp + (xmx-xp), yp) p.arcTo(qt4.QRectF(xp - (xmx-xp), yp - (yp-ymx), (xmx-xp)*2, (yp-ymx)*2), 0., 90.) p.arcTo(qt4.QRectF(xp - (xp-xmn), yp - (yp-ymx), (xp-xmn)*2, (yp-ymx)*2), 90., 90.) utils.brushExtFillPath(painter, s.FillAbove, p, ignorehide=True) if not s.FillBelow.hideerror: p = qt4.QPainterPath() p.moveTo(xp + (xp-xmn), yp) p.arcTo(qt4.QRectF(xp - (xp-xmn), yp - (ymn-yp), (xp-xmn)*2, (ymn-yp)*2), 180., 90.) p.arcTo(qt4.QRectF(xp - (xmx-xp), yp - (ymn-yp), (xmx-xp)*2, (ymn-yp)*2), 270., 90.) utils.brushExtFillPath(painter, s.FillBelow, p, ignorehide=True) def _errorBarsFilled(style, xmin, xmax, ymin, ymax, xplotter, yplotter, s, painter, clip): """Draw filled region as error region.""" ptsabove = qt4.QPolygonF() ptsbelow = qt4.QPolygonF() hidevert = True # keep track of what's shown hidehorz = True if ( 'vert' in style and (ymin is not None and ymax is not None) and not s.ErrorBarLine.hideVert ): hidevert = False # lines above/below points utils.addNumpyToPolygonF(ptsbelow, xplotter, ymin) utils.addNumpyToPolygonF(ptsabove, xplotter, ymax) elif ( 'horz' in style and (xmin is not None and xmax is not None) and not s.ErrorBarLine.hideHorz ): hidehorz = False # lines left/right points utils.addNumpyToPolygonF(ptsbelow, xmin, yplotter) utils.addNumpyToPolygonF(ptsabove, xmax, yplotter) # draw filled regions above/left and below/right if 'fill' in style and not (hidehorz and hidevert): # construct points for error bar regions retnpts = qt4.QPolygonF() utils.addNumpyToPolygonF(retnpts, xplotter[::-1], yplotter[::-1]) # polygons consist of lines joining the points and continuing # back along the plot line (retnpts) if not s.FillBelow.hideerror: utils.brushExtFillPolygon(painter, s.FillBelow, clip, ptsbelow+retnpts, ignorehide=True) if not s.FillAbove.hideerror: utils.brushExtFillPolygon(painter, s.FillAbove, clip, ptsabove+retnpts, ignorehide=True) # draw optional line (on top of fill) utils.plotClippedPolyline(painter, clip, ptsabove) utils.plotClippedPolyline(painter, clip, ptsbelow) # map error bar names to lists of functions (above) _errorBarFunctionMap = { 'none': (), 'bar': (_errorBarsBar,), 'bardiamond': (_errorBarsBar, _errorBarsDiamond,), 'barcurve': (_errorBarsBar, _errorBarsCurve,), 'barbox': (_errorBarsBar, _errorBarsBox,), 'barends': (_errorBarsBar, _errorBarsEnds,), 'box': (_errorBarsBox,), 'boxfill': (_errorBarsBoxFilled, _errorBarsBox,), 'diamond': (_errorBarsDiamond,), 'diamondfill': (_errorBarsDiamond, _errorBarsDiamondFilled), 'curve': (_errorBarsCurve,), 'curvefill': (_errorBarsCurveFilled, _errorBarsCurve,), 'fillhorz': (_errorBarsFilled,), 'fillvert': (_errorBarsFilled,), 'linehorz': (_errorBarsFilled,), 'linevert': (_errorBarsFilled,), 'linehorzbar': (_errorBarsBar, _errorBarsFilled), 'linevertbar': (_errorBarsBar, _errorBarsFilled), } def fillPtsToEdge(painter, pts, posn, cliprect, fillstyle): """Fill points depending on fill mode.""" ft = fillstyle.fillto if ft == 'top': x1, x2 = pts[0].x(), pts[-1].x() y1 = y2 = posn[1] elif ft == 'bottom': x1, x2 = pts[0].x(), pts[-1].x() y1 = y2 = posn[3] elif ft == 'left': y1, y2 = pts[0].y(), pts[-1].y() x1 = x2 = posn[0] elif ft == 'right': y1, y2 = pts[0].y(), pts[-1].y() x1 = x2 = posn[2] else: raise RuntimeError('Invalid fillto mode') polypts = qt4.QPolygonF([qt4.QPointF(x1, y1)]) polypts += pts polypts.append(qt4.QPointF(x2, y2)) utils.brushExtFillPolygon(painter, fillstyle, cliprect, polypts) class MarkerFillBrush(setting.Brush): def __init__(self, name, **args): setting.Brush.__init__(self, name, **args) self.get('color').newDefault( setting.Reference('../color') ) self.add( setting.Colormap( 'colorMap', 'grey', descr = _('If color markers dataset is given, use this colormap ' 'instead of the fill color'), usertext=_('Color map'), formatting=True) ) self.add( setting.Bool( 'colorMapInvert', False, descr = _('Invert color map'), usertext = _('Invert map'), formatting=True) ) class PointPlotter(GenericPlotter): """A class for plotting points and their errors.""" typename='xy' allowusercreation=True description=_('Plot points with lines and errorbars') def __init__(self, parent, name=None): """Initialise XY plotter plotting (xdata, ydata). xdata and ydata are strings specifying the data in the document""" GenericPlotter.__init__(self, parent, name=name) if type(self) == PointPlotter: self.readDefaults() @classmethod def addSettings(klass, s): """Construct list of settings.""" GenericPlotter.addSettings(s) # non-formatting s.add( setting.DatasetExtended( 'yData', 'y', descr=_('Y values, given by dataset, expression or list of values'), usertext=_('Y data')), 0 ) s.add( setting.DatasetExtended( 'xData', 'x', descr=_('X values, given by dataset, expression or list of values'), usertext=_('X data')), 0 ) s.add( setting.DatasetOrStr( 'labels', '', descr=_('Dataset or string to label points'), usertext=_('Labels')), 5 ) s.add( setting.DatasetExtended( 'scalePoints', '', descr = _('Scale size of markers given by dataset, expression' ' or list of values'), usertext=_('Scale markers')), 6 ) # formatting s.add( setting.Int('thinfactor', 1, minval=1, descr=_('Thin number of markers plotted' ' for each datapoint by this factor'), usertext=_('Thin markers'), formatting=True), 0 ) s.add( setting.Color('color', 'black', descr = _('Master color'), usertext = _('Color'), formatting=True), 0 ) s.add( setting.DistancePt('markerSize', '3pt', descr = _('Size of marker to plot'), usertext=_('Marker size'), formatting=True), 0 ) s.add( setting.Marker('marker', 'circle', descr = _('Type of marker to plot'), usertext=_('Marker'), formatting=True), 0 ) s.add( setting.MarkerColor('Color') ) s.add( setting.ErrorStyle('errorStyle', 'bar', descr=_('Style of error bars to plot'), usertext=_('Error style'), formatting=True) ) s.add( setting.XYPlotLine('PlotLine', descr = _('Plot line settings'), usertext = _('Plot line')), pixmap = 'settings_plotline' ) s.add( setting.MarkerLine('MarkerLine', descr = _('Line around the marker settings'), usertext = _('Marker border')), pixmap = 'settings_plotmarkerline' ) s.add( MarkerFillBrush('MarkerFill', descr = _('Marker fill settings'), usertext = _('Marker fill')), pixmap = 'settings_plotmarkerfill' ) s.add( setting.ErrorBarLine('ErrorBarLine', descr = _('Error bar line settings'), usertext = _('Error bar line')), pixmap = 'settings_ploterrorline' ) s.ErrorBarLine.get('color').newDefault( setting.Reference('../color') ) s.add( setting.PointFill('FillBelow', descr = _('Fill mode 1'), usertext = _('Fill 1')), pixmap = 'settings_plotfillbelow' ) s.FillBelow.get('fillto').newDefault('bottom') s.add( setting.PointFill('FillAbove', descr = _('Fill mode 2'), usertext = _('Fill 2')), pixmap = 'settings_plotfillabove' ) s.add( setting.PointLabel('Label', descr = _('Label settings'), usertext=_('Label')), pixmap = 'settings_axislabel' ) @property def userdescription(self): """User-friendly description.""" s = self.settings return "x='%s', y='%s', marker='%s'" % (s.xData, s.yData, s.marker) def _plotErrors(self, posn, painter, xplotter, yplotter, axes, xdata, ydata, cliprect): """Plot error bars (horizontal and vertical). """ s = self.settings style = s.errorStyle if style == 'none': return # default is no error bars xmin = xmax = ymin = ymax = None # draw horizontal error bars if xdata.hasErrors(): xmin, xmax = xdata.getPointRanges() # convert xmin and xmax to graph coordinates xmin = axes[0].dataToPlotterCoords(posn, xmin) xmax = axes[0].dataToPlotterCoords(posn, xmax) # draw vertical error bars if ydata.hasErrors(): ymin, ymax = ydata.getPointRanges() # convert ymin and ymax to graph coordinates ymin = axes[1].dataToPlotterCoords(posn, ymin) ymax = axes[1].dataToPlotterCoords(posn, ymax) # no error bars - break out of processing below if ymin is None and ymax is None and xmin is None and xmax is None: return # iterate to call the error bars functions required to draw style pen = s.ErrorBarLine.makeQPenWHide(painter) pen.setCapStyle(qt4.Qt.FlatCap) painter.setPen(pen) for function in _errorBarFunctionMap[style]: function(style, xmin, xmax, ymin, ymax, xplotter, yplotter, s, painter, cliprect) def affectsAxisRange(self): """This widget provides range information about these axes.""" s = self.settings return ( (s.xAxis, 'sx'), (s.yAxis, 'sy') ) def getRange(self, axis, depname, axrange): """Compute the effect of data on the axis range.""" dataname = {'sx': 'xData', 'sy': 'yData'}[depname] dsetn = self.settings.get(dataname) data = dsetn.getData(self.document) if data: drange = data.getRange() if drange: axrange[0] = min(axrange[0], drange[0]) axrange[1] = max(axrange[1], drange[1]) elif dsetn.isEmpty(): # no valid dataset. # check if there a valid dataset for the other axis. # if there is, treat this as a row number dataname = {'sy': 'xData', 'sx': 'yData'}[depname] data = self.settings.get(dataname).getData(self.document) if data: length = data.data.shape[0] axrange[0] = min(axrange[0], 1) axrange[1] = max(axrange[1], length) def _getLinePoints( self, xvals, yvals, posn, xdata, ydata ): """Get the points corresponding to the line connecting the points.""" pts = qt4.QPolygonF() s = self.settings steps = s.PlotLine.steps # simple continuous line if steps == 'off': utils.addNumpyToPolygonF(pts, xvals, yvals) # stepped line, with points on left elif steps[:4] == 'left': x1 = xvals[:-1] x2 = xvals[1:] y1 = yvals[:-1] y2 = yvals[1:] utils.addNumpyToPolygonF(pts, x1, y1, x2, y1, x2, y2) # stepped line, with points on right elif steps[:5] == 'right': x1 = xvals[:-1] x2 = xvals[1:] y1 = yvals[:-1] y2 = yvals[1:] utils.addNumpyToPolygonF(pts, x1, y1, x1, y2, x2, y2) # stepped line, with points in centre # this is complex as we can't use the mean of the plotter coords, # as the axis could be log elif steps[:6] == 'centre': axes = self.parent.getAxes( (s.xAxis, s.yAxis) ) if xdata.hasErrors(): # Special case if error bars on x points: # here we use the error bars to define the steps xmin, xmax = xdata.getPointRanges() # this is duplicated from drawing error bars: bad # convert xmin and xmax to graph coordinates xmin = axes[0].dataToPlotterCoords(posn, xmin) xmax = axes[0].dataToPlotterCoords(posn, xmax) utils.addNumpyToPolygonF(pts, xmin, yvals, xmax, yvals) else: # we put the bin edges half way between the points # we assume this is the correct thing to do even in log space x1 = xvals[:-1] x2 = xvals[1:] y1 = yvals[:-1] y2 = yvals[1:] xc = 0.5*(x1+x2) utils.addNumpyToPolygonF(pts, x1, y1, xc, y1, xc, y2) if len(xvals) > 0: pts.append( qt4.QPointF(xvals[-1], yvals[-1]) ) elif steps[:7] == 'vcentre': axes = self.parent.getAxes( (s.xAxis, s.yAxis) ) if ydata.hasErrors(): # Special case if error bars on y points: # here we use the error bars to define the steps ymin, ymax = ydata.getPointRanges() # this is duplicated from drawing error bars: bad # convert ymin and ymax to graph coordinates ymin = axes[1].dataToPlotterCoords(posn, ymin) ymax = axes[1].dataToPlotterCoords(posn, ymax) utils.addNumpyToPolygonF(pts, xvals, ymin, xvals, ymax) else: # we put the bin edges half way between the points # we assume this is the correct thing to do even in log space y1 = yvals[:-1] y2 = yvals[1:] x1 = xvals[:-1] x2 = xvals[1:] yc = 0.5*(y1+y2) utils.addNumpyToPolygonF(pts, x1, y1, x1, yc, x2, yc) if len(yvals) > 0: pts.append( qt4.QPointF(xvals[-1], yvals[-1]) ) else: assert False return pts def _getBezierLine(self, poly): """Try to draw a bezier line connecting the points.""" npts = qtloops.bezier_fit_cubic_multi(poly, 0.1, len(poly)+1) i = 0 path = qt4.QPainterPath() lastpt = qt4.QPointF(-999999,-999999) while i < len(npts): if lastpt != npts[i]: path.moveTo(npts[i]) path.cubicTo(npts[i+1], npts[i+2], npts[i+3]) lastpt = npts[i+3] i += 4 return path def _drawBezierLine( self, painter, xvals, yvals, posn, xdata, ydata): """Handle bezier lines and fills.""" pts = self._getLinePoints(xvals, yvals, posn, xdata, ydata) if len(pts) < 2: return path = self._getBezierLine(pts) s = self.settings # do filling for fillstyle in s.FillBelow, s.FillAbove: if not fillstyle.hide: x1, y1, x2, y2 = { 'top': (pts[0].x(), posn[1], pts[-1].x(), posn[1]), 'bottom': (pts[0].x(), posn[3], pts[-1].x(), posn[3]), 'left': (posn[0], pts[0].y(), posn[0], pts[-1].y()), 'right': (posn[2], pts[0].y(), posn[2], pts[-1].y()) }[fillstyle.fillto] temppath = qt4.QPainterPath(path) temppath.lineTo(x2, y2) temppath.lineTo(x1, y1) utils.brushExtFillPath(painter, fillstyle, temppath) if not s.PlotLine.hide: painter.strokePath(path, s.PlotLine.makeQPen(painter)) def _drawPlotLine( self, painter, xvals, yvals, posn, xdata, ydata, cliprect ): """Draw the line connecting the points.""" pts = self._getLinePoints(xvals, yvals, posn, xdata, ydata) if len(pts) < 2: return s = self.settings # do filling for fillstyle in s.FillBelow, s.FillAbove: if not fillstyle.hide: fillPtsToEdge(painter, pts, posn, cliprect, fillstyle) # draw line between points if not s.PlotLine.hide: painter.setPen( s.PlotLine.makeQPen(painter) ) utils.plotClippedPolyline(painter, cliprect, pts) def drawKeySymbol(self, number, painter, x, y, width, height): """Draw the plot symbol and/or line.""" painter.save() cliprect = qt4.QRectF(qt4.QPointF(x,y), qt4.QPointF(x+width,y+height)) painter.setClipRect(cliprect) # draw sample error bar s = self.settings size = s.get('markerSize').convert(painter) style = s.errorStyle # make some fake error bar data to plot xv = s.get('xData').getData(self.document) yv = s.get('yData').getData(self.document) yp = y + height/2 xpts = N.array([x-width, x+width/2, x+2*width]) ypts = N.array([yp, yp, yp]) # size of error bars in key errorsize = height*0.4 # make points for error bars (if any) if xv and xv.hasErrors(): xneg = N.array([x-width, x+width/2-errorsize, x+2*width]) xpos = N.array([x-width, x+width/2+errorsize, x+2*width]) else: xneg = xpos = xpts if yv and yv.hasErrors(): yneg = N.array([yp-errorsize, yp-errorsize, yp-errorsize]) ypos = N.array([yp+errorsize, yp+errorsize, yp+errorsize]) else: yneg = ypos = ypts # plot error bar painter.setPen( s.ErrorBarLine.makeQPenWHide(painter) ) for function in _errorBarFunctionMap[style]: function(style, xneg, xpos, yneg, ypos, xpts, ypts, s, painter, cliprect) # draw line if not s.PlotLine.hide: painter.setPen( s.PlotLine.makeQPen(painter) ) painter.drawLine( qt4.QPointF(x, yp), qt4.QPointF(x+width, yp) ) # draw marker if not s.MarkerLine.hide or not s.MarkerFill.hide: if not s.MarkerFill.hide: painter.setBrush( s.MarkerFill.makeQBrush() ) if not s.MarkerLine.hide: painter.setPen( s.MarkerLine.makeQPen(painter) ) else: painter.setPen( qt4.QPen( qt4.Qt.NoPen ) ) utils.plotMarker(painter, x+width/2, yp, s.marker, size) painter.restore() def drawLabels(self, painter, xplotter, yplotter, textvals, markersize): """Draw labels for the points.""" s = self.settings lab = s.get('Label') # work out offset an alignment deltax = markersize*1.5*{'left':-1, 'centre':0, 'right':1}[lab.posnHorz] deltay = markersize*1.5*{'top':-1, 'centre':0, 'bottom':1}[lab.posnVert] alignhorz = {'left':1, 'centre':0, 'right':-1}[lab.posnHorz] alignvert = {'top':-1, 'centre':0, 'bottom':1}[lab.posnVert] # make font and len textpen = lab.makeQPen() painter.setPen(textpen) font = lab.makeQFont(painter) angle = lab.angle # iterate over each point and plot each label for x, y, t in czip(xplotter+deltax, yplotter+deltay, textvals): utils.Renderer( painter, font, x, y, t, alignhorz, alignvert, angle ).render() def getAxisLabels(self, direction): """Get labels for axis if using a label axis.""" s = self.settings doc = self.document text = s.get('labels').getData(doc, checknull=True) xv = s.get('xData').getData(doc) yv = s.get('yData').getData(doc) # handle missing dataset if yv and not xv and s.get('xData').isEmpty(): length = yv.data.shape[0] xv = document.DatasetRange(length, (1,length)) elif xv and not yv and s.get('yData').isEmpty(): length = xv.data.shape[0] yv = document.DatasetRange(length, (1,length)) if None in (text, xv, yv): return (None, None) if direction == 'horizontal': return (text, xv.data) else: return (text, yv.data) def _pickable(self, bounds): axes = self.fetchAxes() if axes is None: map_fn = None else: map_fn = lambda x, y: ( axes[0].dataToPlotterCoords(bounds, x), axes[1].dataToPlotterCoords(bounds, y) ) return pickable.DiscretePickable(self, 'xData', 'yData', map_fn) def pickPoint(self, x0, y0, bounds, distance = 'radial'): return self._pickable(bounds).pickPoint(x0, y0, bounds, distance) def pickIndex(self, oldindex, direction, bounds): return self._pickable(bounds).pickIndex(oldindex, direction, bounds) def getColorbarParameters(self): """Return parameters for colorbar.""" s = self.settings c = s.Color return (c.min, c.max, c.scaling, s.MarkerFill.colorMap, 0, s.MarkerFill.colorMapInvert) def dataDraw(self, painter, axes, posn, cliprect): """Plot the data on a plotter.""" # get data s = self.settings doc = self.document xv = s.get('xData').getData(doc) yv = s.get('yData').getData(doc) text = s.get('labels').getData(doc, checknull=True) scalepoints = s.get('scalePoints').getData(doc) colorpoints = s.Color.get('points').getData(doc) # if a missing dataset, make a fake dataset for the second one # based on a row number if xv and not yv and s.get('yData').isEmpty(): # use index for y data length = xv.data.shape[0] yv = document.DatasetRange(length, (1,length)) elif yv and not xv and s.get('xData').isEmpty(): # use index for x data length = yv.data.shape[0] xv = document.DatasetRange(length, (1,length)) if not xv or not yv: # no valid dataset, so exit return # if text entered, then multiply up to get same number of values # as datapoints if text: length = min( len(xv.data), len(yv.data) ) text = text*(length // len(text)) + text[:length % len(text)] # loop over chopped up values for xvals, yvals, tvals, ptvals, cvals in ( document.generateValidDatasetParts( xv, yv, text, scalepoints, colorpoints)): #print "Calculating coordinates" # calc plotter coords of x and y points xplotter = axes[0].dataToPlotterCoords(posn, xvals.data) yplotter = axes[1].dataToPlotterCoords(posn, yvals.data) # points are plotted offset in shift-points modes if s.PlotLine.steps != 'off': xpltpoint = N.array(xplotter) if s.PlotLine.steps == 'right-shift-points': xpltpoint[1:] = 0.5*(xplotter[:-1] + xplotter[1:]) elif s.PlotLine.steps == 'left-shift-points': xpltpoint[:-1] = 0.5*(xplotter[:-1] + xplotter[1:]) else: xpltpoint = xplotter ypltpoint = yplotter # plot filled error bars if s.errorStyle in ('fillvert', 'fillhorz'): # filled region errors are painted first self._plotErrors(posn, painter, xpltpoint, ypltpoint, axes, xvals, yvals, cliprect) #print "Painting plot line" # plot data line (and/or filling above or below) if not s.PlotLine.hide or not s.FillAbove.hide or not s.FillBelow.hide: if s.PlotLine.bezierJoin and hasqtloops: self._drawBezierLine( painter, xplotter, yplotter, posn, xvals, yvals ) else: self._drawPlotLine( painter, xplotter, yplotter, posn, xvals, yvals, cliprect ) #print "Painting error bars" # plot normal errors bars if s.errorStyle not in ('fillvert', 'fillhorz'): # normally the error bar is painted after the line self._plotErrors(posn, painter, xpltpoint, ypltpoint, axes, xvals, yvals, cliprect) # plot the points (we do this last so they are on top) markersize = s.get('markerSize').convert(painter) if not s.MarkerLine.hide or not s.MarkerFill.hide: #print "Painting marker fill" if not s.MarkerFill.hide: # filling for markers painter.setBrush( s.MarkerFill.makeQBrush() ) else: # no-filling brush painter.setBrush( qt4.QBrush() ) #print "Painting marker lines" if not s.MarkerLine.hide: # edges of markers painter.setPen( s.MarkerLine.makeQPen(painter) ) else: # invisible pen painter.setPen( qt4.QPen(qt4.Qt.NoPen) ) # thin datapoints as required if s.thinfactor <= 1: xplt, yplt = xpltpoint, ypltpoint else: xplt, yplt = (xpltpoint[::s.thinfactor], ypltpoint[::s.thinfactor]) # whether to scale markers scaling = colorvals = cmap = None if ptvals: scaling = ptvals.data if s.thinfactor > 1: scaling = scaling[::s.thinfactor] # color point individually if cvals and not s.MarkerFill.hide: colorvals = utils.applyScaling( cvals.data, s.Color.scaling, s.Color.min, s.Color.max) if s.thinfactor > 1: colorvals = colorvals[::s.thinfactor] cmap = self.document.getColormap( s.MarkerFill.colorMap, s.MarkerFill.colorMapInvert) # actually plot datapoints utils.plotMarkers(painter, xplt, yplt, s.marker, markersize, scaling=scaling, clip=cliprect, cmap=cmap, colorvals=colorvals, scaleline=s.MarkerLine.scaleLine) # finally plot any labels if tvals and not s.Label.hide: self.drawLabels(painter, xpltpoint, ypltpoint, tvals, markersize) # allow the factory to instantiate an x,y plotter document.thefactory.register( PointPlotter ) veusz-1.21.1/veusz/widgets/colorbar.py0000664000175000017500000002170512346113205016133 0ustar jssjss# Copyright (C) 2007 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """A colorbar widget for the image widget. Should show the scale of the image.""" from __future__ import division from .. import qtall as qt4 import numpy as N from .. import document from .. import setting from .. import utils from . import widget from . import axis def _(text, disambiguation=None, context='ColorBar'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class ColorBar(axis.Axis): """Color bar for showing scale of image. This naturally is descended from an axis """ typename='colorbar' allowusercreation = True description = _('Image color bar') isaxis = False def __init__(self, parent, name=None): """Initialise object and create axes.""" axis.Axis.__init__(self, parent, name=name) if type(self) == ColorBar: self.readDefaults() @classmethod def addSettings(klass, s): """Construct list of settings.""" axis.Axis.addSettings(s) s.add( setting.WidgetChoice('widgetName', '', descr=_('Corresponding widget'), widgettypes=('image', 'xy', 'nonorthpoint'), usertext = _('Widget')), 0 ) s.get('log').readonly = True s.get('datascale').readonly = True s.add( setting.AlignHorzWManual( 'horzPosn', 'right', descr = _('Horizontal position'), usertext=_('Horz posn'), formatting=True) ) s.add( setting.AlignVertWManual( 'vertPosn', 'bottom', descr = _('Vertical position'), usertext=_('Vert posn'), formatting=True) ) s.add( setting.DistanceOrAuto('width', 'Auto', descr = _('Width of colorbar'), usertext=_('Width'), formatting=True) ) s.add( setting.DistanceOrAuto('height', 'Auto', descr = _('Height of colorbar'), usertext=_('Height'), formatting=True) ) s.add( setting.Float( 'horzManual', 0., descr = _('Manual horizontal fractional position'), usertext=_('Horz manual'), formatting=True) ) s.add( setting.Float( 'vertManual', 0., descr = _('Manual vertical fractional position'), usertext=_('Vert manual'), formatting=True) ) s.add( setting.Line('Border', descr = _('Colorbar border line'), usertext=_('Border')), pixmap='settings_border') s.add( setting.SettingBackwardCompat('image', 'widgetName', None) ) @classmethod def allowedParentTypes(klass): from . import graph, grid, nonorthgraph return (graph.Graph, grid.Grid, nonorthgraph.NonOrthGraph) @property def userdescription(self): return _("widget='%s', label='%s'") % ( self.settings.widgetName, self.settings.label) def chooseName(self): """Get name of widget.""" # override axis naming of x and y return widget.Widget.chooseName(self) def _axisDraw(self, posn, parentposn, outerbounds, painter, phelper): """Do actual drawing.""" s = self.settings # get height of label font bounds = self.computeBounds(parentposn, phelper) font = s.get('Label').makeQFont(phelper) painter.setFont(font) fontheight = utils.FontMetrics(font, painter.device()).height() horz = s.direction == 'horizontal' # use above to estimate width and height if necessary w = s.get('width') if w.isAuto(): if horz: totalwidth = bounds[2] - bounds[0] - 2*fontheight else: totalwidth = fontheight else: totalwidth = w.convert(painter) h = s.get('height') if h.isAuto(): if horz: totalheight = fontheight else: totalheight = bounds[3] - bounds[1] - 2*fontheight else: totalheight = h.convert(painter) # work out horizontal position h = s.horzPosn if h == 'left': bounds[0] += fontheight bounds[2] = bounds[0] + totalwidth elif h == 'right': bounds[2] -= fontheight bounds[0] = bounds[2] - totalwidth elif h == 'centre': delta = (bounds[2]-bounds[0]-totalwidth)/2. bounds[0] += delta bounds[2] -= delta elif h == 'manual': bounds[0] += (bounds[2]-bounds[0])*s.horzManual bounds[2] = bounds[0] + totalwidth # work out vertical position v = s.vertPosn if v == 'top': bounds[1] += fontheight bounds[3] = bounds[1] + totalheight elif v == 'bottom': bounds[3] -= fontheight bounds[1] = bounds[3] - totalheight elif v == 'centre': delta = (bounds[3]-bounds[1]-totalheight)/2. bounds[1] += delta bounds[3] -= delta elif v == 'manual': bounds[1] += (bounds[3]-bounds[1])*s.vertManual bounds[3] = bounds[1] + totalheight # FIXME: this is ugly - update bounds in helper state phelper.states[(self,0)].bounds = bounds # do no painting if hidden or no image imgwidget = s.get('widgetName').findWidget() if s.hide: return bounds self.updateAxisLocation(bounds) # update image if necessary with new settings if imgwidget is not None: minval, maxval, axisscale, cmapname, trans, invert = \ imgwidget.getColorbarParameters() cmap = self.document.getColormap(cmapname, invert) img = utils.makeColorbarImage( minval, maxval, axisscale, cmap, trans, direction=s.direction) else: # couldn't find widget minval, maxval, axisscale = 0., 1., 'linear' img = None s.get('log').setSilent(axisscale == 'log') self.setAutoRange([minval, maxval]) self.computePlottedRange(force=True) # now draw image on axis... minpix, maxpix = self.graphToPlotterCoords( bounds, N.array([minval, maxval]) ) routside = qt4.QRectF( bounds[0], bounds[1], bounds[2]-bounds[0], bounds[3]-bounds[1] ) # really draw the img if img is not None: # coordinates to draw image and to clip rectangle if s.direction == 'horizontal': c = [ minpix, bounds[1], maxpix, bounds[3] ] cl = [ self.coordParr1, bounds[1], self.coordParr2, bounds[3] ] else: c = [ bounds[0], maxpix, bounds[2], minpix ] cl = [ bounds[0], self.coordParr1, bounds[2], self.coordParr2 ] r = qt4.QRectF(c[0], c[1], c[2]-c[0], c[3]-c[1]) rclip = qt4.QRectF(cl[0], cl[1], cl[2]-cl[0], cl[3]-cl[1]) painter.save() painter.setClipRect(rclip & routside) painter.drawImage(r, img) painter.restore() # if there's a border if not s.Border.hide: painter.setPen( s.get('Border').makeQPen(painter) ) painter.setBrush( qt4.QBrush() ) painter.drawRect( routside ) # actually draw axis axis.Axis._axisDraw(self, bounds, parentposn, None, painter, phelper) # allow the factory to instantiate a colorbar document.thefactory.register( ColorBar ) veusz-1.21.1/veusz/widgets/fit.py0000644000175000017500000003431112327177747015131 0ustar jssjss# fit.py # fitting plotter # Copyright (C) 2005 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### from __future__ import division, absolute_import, print_function import re import sys import numpy as N from ..compat import czip, cstr from .. import document from .. import setting from .. import utils from .. import qtall as qt4 from .function import FunctionPlotter from . import widget try: import minuit except ImportError: minuit = None def _(text, disambiguation=None, context='Fit'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) def minuitFit(evalfunc, params, names, values, xvals, yvals, yserr): """Do fitting with minuit (if installed).""" def chi2(params): """generate a lambda function to impedance-match between PyMinuit's use of multiple parameters versus our use of a single numpy vector.""" c = ((evalfunc(params, xvals) - yvals)**2 / yserr**2).sum() if chi2.runningFit: chi2.iters += 1 p = [chi2.iters, c] + params.tolist() str = ("%5i " + "%8g " * (len(params)+1)) % tuple(p) print(str) return c namestr = ', '.join(names) fnstr = 'lambda %s: chi2(N.array([%s]))' % (namestr, namestr) # this is safe because the only user-controlled variable is len(names) fn = eval(fnstr, {'chi2' : chi2, 'N' : N}) print(_('Fitting via Minuit:')) m = minuit.Minuit(fn, fix_x=True, **values) # run the fit chi2.runningFit = True chi2.iters = 0 m.migrad() # do some error analysis have_symerr, have_err = False, False try: chi2.runningFit = False m.hesse() have_symerr = True m.minos() have_err = True except minuit.MinuitError as e: print(e) if str(e).startswith('Discovered a new minimum'): # the initial fit really failed raise # print the results retchi2 = m.fval dof = len(yvals) - len(params) redchi2 = retchi2 / dof if have_err: print(_('Fit results:\n') + "\n".join([ u" %s = %g \u00b1 %g (+%g / %g)" % (n, m.values[n], m.errors[n], m.merrors[(n, 1.0)], m.merrors[(n, -1.0)]) for n in names])) elif have_symerr: print(_('Fit results:\n') + "\n".join([ u" %s = %g \u00b1 %g" % (n, m.values[n], m.errors[n]) for n in names])) print(_('MINOS error estimate not available.')) else: print(_('Fit results:\n') + "\n".join([ ' %s = %g' % (n, m.values[n]) for n in names])) print(_('No error analysis available: fit quality uncertain')) print("chi^2 = %g, dof = %i, reduced-chi^2 = %g" % (retchi2, dof, redchi2)) vals = m.values return vals, retchi2, dof class Fit(FunctionPlotter): """A plotter to fit a function to data.""" typename='fit' allowusercreation=True description=_('Fit a function to data') def __init__(self, parent, name=None): FunctionPlotter.__init__(self, parent, name=name) if type(self) == Fit: self.readDefaults() self.addAction( widget.Action('fit', self.actionFit, descr = _('Fit function'), usertext = _('Fit function')) ) @classmethod def addSettings(klass, s): """Construct list of settings.""" FunctionPlotter.addSettings(s) s.add( setting.FloatDict( 'values', {'a': 0.0, 'b': 1.0}, descr = _('Variables and fit values'), usertext=_('Parameters')), 1 ) s.add( setting.DatasetExtended( 'xData', 'x', descr = _('X data to fit (dataset name, list of values ' 'or expression)'), usertext=_('X data')), 2 ) s.add( setting.DatasetExtended( 'yData', 'y', descr = _('Y data to fit (dataset name, list of values ' 'or expression)'), usertext=_('Y data')), 3 ) s.add( setting.Bool( 'fitRange', False, descr = _('Fit only the data between the ' 'minimum and maximum of the axis for ' 'the function variable'), usertext=_('Fit only range')), 4 ) s.add( setting.WidgetChoice( 'outLabel', '', descr=_('Write best fit parameters to this text label ' 'after fitting'), widgettypes=('label',), usertext=_('Output label')), 5 ) s.add( setting.Str('outExpr', '', descr = _('Output best fitting expression'), usertext=_('Output expression')), 6, readonly=True ) s.add( setting.Float('chi2', -1, descr = 'Output chi^2 from fitting', usertext=_('Fit χ2')), 7, readonly=True ) s.add( setting.Int('dof', -1, descr = _('Output degrees of freedom from fitting'), usertext=_('Fit d.o.f.')), 8, readonly=True ) s.add( setting.Float('redchi2', -1, descr = _('Output reduced-chi-squared from fitting'), usertext=_('Fit reduced χ2')), 9, readonly=True ) f = s.get('function') f.newDefault('a + b*x') f.descr = _('Function to fit') # modify description s.get('min').usertext=_('Min. fit range') s.get('max').usertext=_('Max. fit range') def affectsAxisRange(self): """This widget provides range information about these axes.""" s = self.settings return ( (s.xAxis, 'sx'), (s.yAxis, 'sy') ) def getRange(self, axis, depname, axrange): """Update range with range of data.""" dataname = {'sx': 'xData', 'sy': 'yData'}[depname] data = self.settings.get(dataname).getData(self.document) if data: drange = data.getRange() if drange: axrange[0] = min(axrange[0], drange[0]) axrange[1] = max(axrange[1], drange[1]) def initEnviron(self): """Copy data into environment.""" env = self.document.eval_context.copy() env.update( self.settings.values ) return env def updateOutputLabel(self, ops, vals, chi2, dof): """Use best fit parameters to update text label.""" s = self.settings labelwidget = s.get('outLabel').findWidget() if labelwidget is not None: # build up a set of X=Y values loc = self.document.locale txt = [] for l, v in sorted(vals.items()): val = utils.formatNumber(v, '%.4Vg', locale=loc) txt.append( '%s = %s' % (l, val) ) # add chi2 output txt.append( r'\chi^{2}_{\nu} = %s/%i = %s' % ( utils.formatNumber(chi2, '%.4Vg', locale=loc), dof, utils.formatNumber(chi2/dof, '%.4Vg', locale=loc) )) # update label with text text = r'\\'.join(txt) ops.append( document.OperationSettingSet( labelwidget.settings.get('label') , text ) ) def actionFit(self): """Fit the data.""" s = self.settings # check and get compiled for of function compiled = self.document.compileCheckedExpression(s.function) if compiled is None: return # populate the input parameters paramnames = sorted(s.values) params = N.array( [s.values[p] for p in paramnames] ) # FIXME: loads of error handling!! d = self.document # choose dataset depending on fit variable if s.variable == 'x': xvals = s.get('xData').getData(d).data ydata = s.get('yData').getData(d) else: xvals = s.get('yData').getData(d).data ydata = s.get('xData').getData(d) yvals = ydata.data yserr = ydata.serr # if there are no errors on data if yserr is None: if ydata.perr is not None and ydata.nerr is not None: print("Warning: Symmeterising positive and negative errors") yserr = N.sqrt( 0.5*(ydata.perr**2 + ydata.nerr**2) ) else: print("Warning: No errors on y values. Assuming 5% errors.") yserr = yvals*0.05 yserr[yserr < 1e-8] = 1e-8 # if the fitRange parameter is on, we chop out data outside the # range of the axis if s.fitRange: # get ranges for axes if s.variable == 'x': drange = self.parent.getAxes((s.xAxis,))[0].getPlottedRange() mask = N.logical_and(xvals >= drange[0], xvals <= drange[1]) else: drange = self.parent.getAxes((s.yAxis,))[0].getPlottedRange() mask = N.logical_and(yvals >= drange[0], yvals <= drange[1]) xvals, yvals, yserr = xvals[mask], yvals[mask], yserr[mask] print("Fitting %s from %g to %g" % (s.variable, drange[0], drange[1])) evalenv = self.initEnviron() def evalfunc(params, xvals): # update environment with variable and parameters evalenv[self.settings.variable] = xvals evalenv.update( czip(paramnames, params) ) try: return eval(compiled, evalenv) + xvals*0. except Exception as e: self.document.log(cstr(e)) return N.nan # minimum set for fitting if s.min != 'Auto': if s.variable == 'x': mask = xvals >= s.min else: mask = yvals >= s.min xvals, yvals, yserr = xvals[mask], yvals[mask], yserr[mask] # maximum set for fitting if s.max != 'Auto': if s.variable == 'x': mask = xvals <= s.max else: mask = yvals <= s.max xvals, yvals, yserr = xvals[mask], yvals[mask], yserr[mask] if s.min != 'Auto' or s.max != 'Auto': print("Fitting %s between %s and %s" % (s.variable, s.min, s.max)) # various error checks if len(xvals) == 0: sys.stderr.write(_('No data values. Not fitting.\n')) return if len(xvals) != len(yvals) or len(xvals) != len(yserr): sys.stderr.write(_('Fit data not equal in length. Not fitting.\n')) return if len(params) > len(xvals): sys.stderr.write(_('No degrees of freedom for fit. Not fitting\n')) return # actually do the fit, either via Minuit or our own LM fitter chi2 = 1 dof = 1 if minuit is not None: vals, chi2, dof = minuitFit(evalfunc, params, paramnames, s.values, xvals, yvals, yserr) else: print(_('Minuit not available, falling back to simple L-M fitting:')) retn, chi2, dof = utils.fitLM(evalfunc, params, xvals, yvals, yserr) vals = {} for i, v in czip(paramnames, retn): vals[i] = float(v) # list of operations do we can undo the changes operations = [] # populate the return parameters operations.append( document.OperationSettingSet(s.get('values'), vals) ) # populate the read-only fit quality params operations.append( document.OperationSettingSet(s.get('chi2'), float(chi2)) ) operations.append( document.OperationSettingSet(s.get('dof'), int(dof)) ) if dof <= 0: print(_('No degrees of freedom in fit.\n')) redchi2 = -1. else: redchi2 = float(chi2/dof) operations.append( document.OperationSettingSet(s.get('redchi2'), redchi2) ) # expression for fit expr = self.generateOutputExpr(vals) operations.append( document.OperationSettingSet(s.get('outExpr'), expr) ) self.updateOutputLabel(operations, vals, chi2, dof) # actually change all the settings d.applyOperation( document.OperationMultiple(operations, descr=_('fit')) ) def generateOutputExpr(self, vals): """Try to generate text form of output expression. vals is a dict of variable: value pairs returns the expression """ paramvals = vals.copy() s = self.settings # also substitute in data name for variable if s.variable == 'x': paramvals['x'] = s.xData else: paramvals['y'] = s.yData # split expression up into parts of text and nums, separated # by non-text/nums parts = re.split('([^A-Za-z0-9.])', s.function) # replace part by things in paramvals, if they exist for i, p in enumerate(parts): if p in paramvals: parts[i] = str( paramvals[p] ) return ''.join(parts) # allow the factory to instantiate an x,y plotter document.thefactory.register( Fit ) veusz-1.21.1/veusz/widgets/graph.py0000644000175000017500000002643012327177747015453 0ustar jssjss# graph widget for containing other sorts of widget # Copyright (C) 2004 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## from __future__ import division import textwrap from .. import qtall as qt4 from .. import setting from .. import utils from .. import document from . import widget from . import controlgraph def _(text, disambiguation=None, context='Graph'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class Graph(widget.Widget): """Graph for containing other sorts of widgets""" typename='graph' allowusercreation = True description = _('Base graph') def __init__(self, parent, name=None): """Initialise object and create axes.""" widget.Widget.__init__(self, parent, name=name) self.readDefaults() @classmethod def addSettings(klass, s): """Construct list of settings.""" widget.Widget.addSettings(s) s.add( setting.Distance( 'leftMargin', '1.7cm', descr=_('Distance from left of graph to edge'), usertext=_('Left margin'), formatting=True) ) s.add( setting.Distance( 'rightMargin', '0.2cm', descr=_('Distance from right of graph to edge'), usertext=_('Right margin'), formatting=True) ) s.add( setting.Distance( 'topMargin', '0.2cm', descr=_('Distance from top of graph to edge'), usertext=_('Top margin'), formatting=True) ) s.add( setting.Distance( 'bottomMargin', '1.7cm', descr=_('Distance from bottom of graph to edge'), usertext=_('Bottom margin'), formatting=True) ) s.add( setting.FloatOrAuto('aspect', 'Auto', descr=_('Fix aspect ratio of graph to this value'), usertext=_('Aspect ratio'), minval = 0.01, maxval = 100., formatting=True) ) s.add( setting.Notes( 'notes', '', descr=_('User-defined notes'), usertext=_('Notes') ) ) s.add( setting.GraphBrush( 'Background', descr = _('Background plot fill'), usertext=_('Background')), pixmap='settings_bgfill' ) s.add( setting.Line('Border', descr = _('Graph border line'), usertext=_('Border')), pixmap='settings_border') @classmethod def allowedParentTypes(klass): from . import page, grid return (page.Page, grid.Grid) @property def userdescription(self): """Return user-friendly description.""" return textwrap.fill(self.settings.notes, 60) def addDefaultSubWidgets(self): """Add axes automatically.""" from . import axis if self.parent.getChild('x') is None: axis.Axis(self, name='x') if self.parent.getChild('y') is None: axis.Axis(self, name='y') def getAxesDict(self, axesnames, ignoremissing=False): """Get the axes for widgets to plot against. axesnames is a list/set of names to find. Returns a dict of objects """ axes = {} # recursively go back up the tree to find axes w = self while w is not None and len(axes) < len(axesnames): for c in w.children: name = c.name if ( name in axesnames and name not in axes and c.isaxis ): axes[name] = c w = w.parent # didn't find everything... if w is None and not ignoremissing: for name in axesnames: if name not in axes: axes[name] = None # return list of found axes return axes def getAxes(self, axesnames): """Return a list of axes widgets given a list of names.""" ad = self.getAxesDict(axesnames) return [ad[n] for n in axesnames] def adjustBoundsForAspect(self, bounds): s = self.settings if s.aspect != 'Auto': saspect = s.aspect width = bounds[2]-bounds[0] height = bounds[3]-bounds[1] gaspect = width/height bounds = list(bounds) if saspect > gaspect: # want a graph which is wider than the current size # => add space to top/bottom newheight = width / saspect delta = (height-newheight) / 2 bounds[1] += delta bounds[3] -= delta else: # want a graph which is narrower than the current size # => add space to left/right newwidth = height * saspect delta = (width-newwidth) / 2 bounds[0] += delta bounds[2] -= delta return bounds def getMargins(self, painthelper): """Use settings to compute margins.""" s = self.settings return ( s.get('leftMargin').convert(painthelper), s.get('topMargin').convert(painthelper), s.get('rightMargin').convert(painthelper), s.get('bottomMargin').convert(painthelper) ) def draw(self, parentposn, painthelper, outerbounds = None): '''Update the margins before drawing.''' # yuck, avoid circular imports from . import axisbroken s = self.settings bounds = self.computeBounds(parentposn, painthelper) maxbounds = self.computeBounds(parentposn, painthelper, withmargin=False) # do no painting if hidden if s.hide: return bounds # controls for adjusting graph margins painter = painthelper.painter(self, bounds) painthelper.setControlGraph(self, [ controlgraph.ControlMarginBox(self, bounds, maxbounds, painthelper) ]) bounds = self.adjustBoundsForAspect(bounds) with painter: # set graph rectangle attributes path = qt4.QPainterPath() path.addRect( qt4.QRectF(qt4.QPointF(bounds[0], bounds[1]), qt4.QPointF(bounds[2], bounds[3])) ) utils.brushExtFillPath(painter, s.Background, path, stroke=s.Border.makeQPenWHide(painter)) # debugging positions (uncomment) # painter.drawRect( qt4.QRectF( # qt4.QPointF(parentposn[0], parentposn[1]), # qt4.QPointF(parentposn[2], parentposn[3]) )) # if outerbounds: # painter.drawRect( qt4.QRectF( # qt4.QPointF(outerbounds[0], outerbounds[1]), # qt4.QPointF(outerbounds[2], outerbounds[3]) )) # child drawing algorithm is a bit complex due to axes # being shared between graphs and broken axes # this is a map of axis names to plot to axis widgets axestodraw = {} # axes widgets for each plotter (precalculated by Page) axesofwidget = painthelper.plotteraxismap for c in self.children: try: for a in axesofwidget[c]: axestodraw[a.name] = a except (KeyError, AttributeError): if c.isaxis: axestodraw[c.name] = c # grid lines are normally plotted before other child widgets axisdrawlist = sorted(axestodraw.items(), reverse=True) for aname, awidget in axisdrawlist: awidget.updateAxisLocation(bounds) awidget.computePlottedRange() awidget.drawGrid(bounds, painthelper, outerbounds=outerbounds, ontop=False) # broken axis handling brokenaxes = set() for axis in axestodraw.values(): if isinstance(axis, axisbroken.AxisBroken): brokenaxes.add(axis) # don't duplicate drawing axes axesdrawn = set() # do normal drawing of children # iterate over children in reverse order for c in reversed(self.children): if c.isaxis: axesdrawn.add(c) axes = axesofwidget.get(c, None) if axes is not None and any((a in brokenaxes for a in axes)): # handle broken axes childbrokenaxes = sorted([ (a.name, a) for a in axes if a in brokenaxes ]) childbrokenaxes.sort() def iteratebrokenaxes(b): """Recursively iterate over each broken axis and redraw child for each. We might have more than one broken axis per child, so hence this rather strange iteration. """ ax = b[0][1] for i in range(ax.breakvnum): ax.switchBreak(i, bounds) if len(b) == 1: c.draw(bounds, painthelper, outerbounds=outerbounds) else: iteratebrokenaxes(b[1:]) ax.switchBreak(None, bounds) iteratebrokenaxes(childbrokenaxes) else: # standard non broken axis drawing c.draw(bounds, painthelper, outerbounds=outerbounds) # then for grid lines on top for aname, awidget in axisdrawlist: awidget.drawGrid(bounds, painthelper, outerbounds=outerbounds, ontop=True) # draw remaining axes for aname, awidget in axisdrawlist: if awidget not in axesdrawn: awidget.draw(bounds, painthelper, outerbounds=outerbounds) return bounds def updateControlItem(self, cgi): """Graph resized or moved - call helper routine to move self.""" cgi.setWidgetMargins() # allow users to make Graph objects document.thefactory.register( Graph ) veusz-1.21.1/veusz/widgets/boxplot.py0000644000175000017500000004353312327177747016044 0ustar jssjss# Copyright (C) 2010 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### """For making box plots.""" from __future__ import division import math import numpy as N from ..compat import crange, czip from .. import qtall as qt4 from .. import setting from .. import document from .. import utils from .plotters import GenericPlotter def _(text, disambiguation=None, context='BoxPlot'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) def percentile(sortedds, perc): """Given a sorted dataset, get the percentile perc. Interpolates between data points.""" index = perc * 0.01 * (sortedds.shape[0]-1) # interpolate between indices frac, index = math.modf(index) index = int(index) indexplus1 = min(index+1, sortedds.shape[0]-1) interpol = (1-frac)*sortedds[index] + frac*sortedds[indexplus1] return interpol def swapline(painter, x1, y1, x2, y2, swap): """Draw line, swapping x and y coordinates if swap is True.""" if swap: painter.drawLine( qt4.QPointF(y1, x1), qt4.QPointF(y2, x2) ) else: painter.drawLine( qt4.QPointF(x1, y1), qt4.QPointF(x2, y2) ) def swapbox(painter, x1, y1, x2, y2, swap): """Return box, swapping x and y coordinates if swap is True.""" if swap: return qt4.QRectF(qt4.QPointF(y1, x1), qt4.QPointF(y2, x2)) else: return qt4.QRectF(qt4.QPointF(x1, y1), qt4.QPointF(x2, y2)) class _Stats(object): """Store statistics about box.""" def calculate(self, data, whiskermode): """Calculate statistics for data.""" cleaned = data[ N.isfinite(data) ] cleaned.sort() if len(cleaned) == 0: self.median = self.botquart = self.topquart = self.mean = \ self.botwhisker = self.topwhisker = N.nan return self.median = percentile(cleaned, 50) self.botquart = percentile(cleaned, 25) self.topquart = percentile(cleaned, 75) self.mean = N.mean(cleaned) if whiskermode == 'min/max': self.botwhisker = cleaned.min() self.topwhisker = cleaned.max() elif whiskermode == '1.5IQR': iqr = self.topquart - self.botquart eltop = N.searchsorted(cleaned, self.topquart+1.5*iqr)-1 self.topwhisker = cleaned[eltop] elbot = max(N.searchsorted(cleaned, self.botquart-1.5*iqr)-1, 0) self.botwhisker = cleaned[elbot] elif whiskermode == '1 stddev': stddev = N.std(cleaned) self.topwhisker = self.mean+stddev self.botwhisker = self.mean-stddev elif whiskermode == '9/91 percentile': self.topwhisker = percentile(cleaned, 91) self.botwhisker = percentile(cleaned, 9) elif whiskermode == '2/98 percentile': self.topwhisker = percentile(cleaned, 98) self.botwhisker = percentile(cleaned, 2) else: raise RuntimeError("Invalid whisker mode") self.outliers = cleaned[ (cleaned < self.botwhisker) | (cleaned > self.topwhisker) ] class BoxPlot(GenericPlotter): """Plot bar charts.""" typename='boxplot' allowusercreation=True description=_('Plot box plots') def __init__(self, parent, name=None): """Initialise box plot.""" GenericPlotter.__init__(self, parent, name=name) if type(self) == BoxPlot: self.readDefaults() @classmethod def addSettings(klass, s): """Construct list of settings.""" GenericPlotter.addSettings(s) s.remove('key') s.add( setting.Choice('whiskermode', ('min/max', '1.5IQR', '1 stddev', '9/91 percentile', '2/98 percentile'), '1.5IQR', descr = _('Whisker mode'), usertext=_('Whisker mode')), 0 ) s.add( setting.Choice('direction', ('horizontal', 'vertical'), 'vertical', descr = _('Horizontal or vertical boxes'), usertext=_('Direction')), 0 ) s.add( setting.DatasetOrStr('labels', '', descr=_('Dataset or string to label bars'), usertext=_('Labels')), 0 ) s.add( setting.DatasetExtended( 'posn', '', descr = _('Dataset or list of values giving ' 'positions of boxes (optional)'), usertext=_('Positions')), 0 ) # calculate statistics from these datasets s.add( setting.Datasets('values', ('data',), descr = _('Datasets containing values to ' 'calculate statistics for'), usertext=_('Datasets')), 0 ) # alternate mode where data are provided for boxes s.add( setting.DatasetExtended( 'whiskermax', '', descr=_('Dataset with whisker maxima or list of values'), usertext=_('Whisker max')), 0 ) s.add( setting.DatasetExtended( 'whiskermin', '', descr=_('Dataset with whisker minima or list of values'), usertext=_('Whisker min')), 0 ) s.add( setting.DatasetExtended( 'boxmax', '', descr=_('Dataset with box maxima or list of values'), usertext=_('Box max')), 0 ) s.add( setting.DatasetExtended( 'boxmin', '', descr=_('Dataset with box minima or list of values'), usertext=_('Box min')), 0 ) s.add( setting.DatasetExtended( 'median', '', descr=_('Dataset with medians or list of values'), usertext=_('Median')), 0 ) s.add( setting.DatasetExtended( 'mean', '', descr=_('Dataset with means or list of values'), usertext=_('Mean')), 0 ) # switch between different modes s.add( setting.BoolSwitch('calculate', True, descr = _('Calculate statistics from datasets' ' rather than given manually'), usertext = _('Calculate'), settingstrue=('whiskermode', 'values'), settingsfalse=('boxmin', 'whiskermin', 'boxmax', 'whiskermax', 'mean', 'median')), 0 ) # formatting options s.add( setting.Float('fillfraction', 0.75, descr = _('Fill fraction of boxes'), usertext=_('Fill fraction'), formatting=True) ) s.add( setting.Marker('outliersmarker', 'circle', descr = _('Marker for outliers'), usertext=_('Outliers'), formatting=True) ) s.add( setting.Marker('meanmarker', 'linecross', descr = _('Marker for mean'), usertext=_('Mean'), formatting=True) ) s.add( setting.DistancePt('markerSize', '3pt', descr = _('Size of markers to plot'), usertext=_('Markers size'), formatting=True) ) s.add( setting.GraphBrush( 'Fill', descr = _('Box fill'), usertext=_('Box fill')), pixmap='settings_bgfill' ) s.add( setting.Line('Border', descr = _('Box border line'), usertext=_('Box border')), pixmap='settings_border') s.add( setting.Line('Whisker', descr = _('Whisker line'), usertext=_('Whisker line')), pixmap='settings_whisker') s.add( setting.Line('MarkersLine', descr = _('Line around markers'), usertext = _('Markers border')), pixmap = 'settings_plotmarkerline' ) s.add( setting.BoxPlotMarkerFillBrush('MarkersFill', descr = _('Markers fill'), usertext = _('Markers fill')), pixmap = 'settings_plotmarkerfill' ) @property def userdescription(self): """Friendly description for user.""" s = self.settings return "values='%s', position='%s'" % ( ', '.join(s.values), s.posn) def affectsAxisRange(self): """This widget provides range information about these axes.""" s = self.settings return ( (s.xAxis, 'sx'), (s.yAxis, 'sy') ) def rangeManual(self): """For updating range in manual mode.""" s = self.settings ds = [] for name in ('whiskermin', 'whiskermax', 'boxmin', 'boxmax', 'mean', 'median'): ds.append( s.get(name).getData(self.document) ) r = [N.inf, -N.inf] if None not in ds: concat = N.concatenate([d.data for d in ds]) r[0] = N.nanmin(concat) r[1] = N.nanmax(concat) return r def getPosns(self): """Get values of positions of bars.""" s = self.settings doc = self.document posns = s.get('posn').getData(doc) if posns is not None: # manual positions return posns.data else: if s.calculate: # number of datasets vals = s.get('values').getData(doc) else: # length of mean array vals = s.get('mean').getData(doc) if vals: vals = vals.data if vals is None: return N.array([]) else: return N.arange(1, len(vals)+1, dtype=N.float64) def getRange(self, axis, depname, axrange): """Update axis range from data.""" s = self.settings doc = self.document if ( (depname == 'sx' and s.direction == 'horizontal') or (depname == 'sy' and s.direction == 'vertical') ): # update axis in direction of data if s.calculate: # update from values values = s.get('values').getData(doc) if values: for v in values: if len(v.data) > 0: axrange[0] = min(axrange[0], N.nanmin(v.data)) axrange[1] = max(axrange[1], N.nanmax(v.data)) else: # update from manual entries drange = self.rangeManual() axrange[0] = min(axrange[0], drange[0]) axrange[1] = max(axrange[1], drange[1]) else: # update axis in direction of datasets posns = self.getPosns() if len(posns) > 0: axrange[0] = min(axrange[0], N.nanmin(posns)-0.5) axrange[1] = max(axrange[1], N.nanmax(posns)+0.5) def getAxisLabels(self, direction): """Get labels for axis if using a label axis.""" s = self.settings doc = self.document text = s.get('labels').getData(doc, checknull=True) values = s.get('values').getData(doc) if text is None or values is None: return (None, None) positions = self.getPosns() return (text, positions) def plotBox(self, painter, axes, boxposn, posn, width, clip, stats): """Draw box for dataset.""" if not N.isfinite(stats.median): # skip bad datapoints return s = self.settings horz = (s.direction == 'horizontal') # convert quartiles, top and bottom whiskers to plotter medplt, botplt, topplt, botwhisplt, topwhisplt = tuple( axes[not horz].dataToPlotterCoords( posn, N.array([ stats.median, stats.botquart, stats.topquart, stats.botwhisker, stats.topwhisker ])) ) # draw whisker top to bottom p = s.Whisker.makeQPenWHide(painter) p.setCapStyle(qt4.Qt.FlatCap) painter.setPen(p) swapline(painter, boxposn, topwhisplt, boxposn, botwhisplt, horz) # draw ends of whiskers endsize = width/2 swapline(painter, boxposn-endsize/2, topwhisplt, boxposn+endsize/2, topwhisplt, horz) swapline(painter, boxposn-endsize/2, botwhisplt, boxposn+endsize/2, botwhisplt, horz) # draw box fill boxpath = qt4.QPainterPath() boxpath.addRect( swapbox(painter, boxposn-width/2, botplt, boxposn+width/2, topplt, horz) ) utils.brushExtFillPath(painter, s.Fill, boxpath) # draw line across box p = s.Whisker.makeQPenWHide(painter) p.setCapStyle(qt4.Qt.FlatCap) painter.setPen(p) swapline(painter, boxposn-width/2, medplt, boxposn+width/2, medplt, horz) # draw box painter.strokePath(boxpath, s.Border.makeQPenWHide(painter) ) # draw outliers painter.setPen( s.MarkersLine.makeQPenWHide(painter) ) painter.setBrush( s.MarkersFill.makeQBrushWHide() ) markersize = s.get('markerSize').convert(painter) if stats.outliers.shape[0] != 0: pltvals = axes[not horz].dataToPlotterCoords(posn, stats.outliers) otherpos = N.zeros(pltvals.shape) + boxposn if horz: x, y = pltvals, otherpos else: x, y = otherpos, pltvals utils.plotMarkers( painter, x, y, s.outliersmarker, markersize, clip=clip ) # draw mean meanplt = axes[not horz].dataToPlotterCoords( posn, N.array([stats.mean]))[0] if horz: x, y = meanplt, boxposn else: x, y = boxposn, meanplt utils.plotMarker( painter, x, y, s.meanmarker, markersize ) def dataDraw(self, painter, axes, widgetposn, clip): """Plot the data on a plotter.""" s = self.settings # get data doc = self.document positions = self.getPosns() if s.calculate: # calculate from data values = s.get('values').getData(doc) if values is None: return else: # use manual datasets datasets = [ s.get(x).getData(doc) for x in ('whiskermin', 'whiskermax', 'boxmin', 'boxmax', 'mean', 'median') ] if None in datasets: return # get axes widgets axes = self.parent.getAxes( (s.xAxis, s.yAxis) ) # return if there are no proper axes if ( None in axes or axes[0].settings.direction != 'horizontal' or axes[1].settings.direction != 'vertical' ): return # get boxes visible along direction of boxes to work out width horz = (s.direction == 'horizontal') plotposns = axes[horz].dataToPlotterCoords(widgetposn, positions) if horz: inplot = (plotposns > widgetposn[1]) & (plotposns < widgetposn[3]) else: inplot = (plotposns > widgetposn[0]) & (plotposns < widgetposn[2]) inplotposn = plotposns[inplot] if inplotposn.shape[0] < 2: if horz: width = (widgetposn[3]-widgetposn[1])*0.5 else: width = (widgetposn[2]-widgetposn[0])*0.5 else: # use minimum different between points to get width inplotposn.sort() width = N.nanmin(inplotposn[1:] - inplotposn[:-1]) # adjust width width = width * s.fillfraction if s.calculate: # calculated boxes for vals, plotpos in czip(values, plotposns): stats = _Stats() stats.calculate(vals.data, s.whiskermode) self.plotBox(painter, axes, plotpos, widgetposn, width, clip, stats) else: # manually given boxes vals = [d.data for d in datasets] + [plotposns] lens = [len(d) for d in vals] for i in crange(min(lens)): stats = _Stats() stats.topwhisker = vals[0][i] stats.botwhisker = vals[1][i] stats.botquart = vals[2][i] stats.topquart = vals[3][i] stats.mean = vals[4][i] stats.median = vals[5][i] stats.outliers = N.array([]) self.plotBox(painter, axes, vals[6][i], widgetposn, width, clip, stats) # allow the factory to instantiate a boxplot document.thefactory.register( BoxPlot ) veusz-1.21.1/veusz/widgets/textlabel.py0000664000175000017500000002062512245431266016324 0ustar jssjss# Copyright (C) 2008 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### """For plotting one or more text labels on a graph.""" from __future__ import division import itertools from ..compat import czip from .. import document from .. import setting from .. import utils from .. import qtall as qt4 from . import plotters from . import controlgraph def _(text, disambiguation=None, context='TextLabel'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class BorderLine(setting.Line): '''Plot line around text.''' def __init__(self, name, **args): setting.Line.__init__(self, name, **args) self.get('hide').newDefault(True) class TextLabel(plotters.FreePlotter): """Add a text label to a graph.""" typename = 'label' description = _('Text label') allowusercreation = True def __init__(self, parent, name=None): plotters.FreePlotter.__init__(self, parent, name=name) if type(self) == TextLabel: self.readDefaults() @classmethod def addSettings(klass, s): """Construct list of settings.""" plotters.FreePlotter.addSettings(s) s.add( setting.DatasetOrStr('label', '', descr=_('Text to show or text dataset'), usertext=_('Label')), 0 ) s.add( setting.AlignHorz('alignHorz', 'left', descr=_('Horizontal alignment of label'), usertext=_('Horz alignment'), formatting=True), 7) s.add( setting.AlignVert('alignVert', 'bottom', descr=_('Vertical alignment of label'), usertext=_('Vert alignment'), formatting=True), 8) s.add( setting.Float('angle', 0., descr=_('Angle of the label in degrees'), usertext=_('Angle'), formatting=True), 9 ) s.add( setting.DistancePt( 'margin', '4pt', descr = _('Margin of fill/border'), usertext=_('Margin'), formatting=True), 10 ) s.add( setting.Bool('clip', False, descr=_('Clip text to its container'), usertext=_('Clip'), formatting=True), 11 ) s.add( setting.Text('Text', descr = _('Text settings'), usertext=_('Text')), pixmap = 'settings_axislabel' ) s.add( setting.ShapeFill( 'Background', descr=_('Fill behind text'), usertext=_('Background')), pixmap = 'settings_bgfill' ) s.add( BorderLine( 'Border', descr=_('Border around text'), usertext=_('Border')), pixmap = 'settings_border' ) # convert text to alignments used by Renderer cnvtalignhorz = { 'left': -1, 'centre': 0, 'right': 1 } cnvtalignvert = { 'top': 1, 'centre': 0, 'bottom': -1 } @property def userdescription(self): """User friendly description.""" s = self.settings return _("text='%s'") % s.label def draw(self, posn, phelper, outerbounds = None): """Draw the text label.""" s = self.settings d = self.document # exit if hidden if s.hide or s.Text.hide: return text = s.get('label').getData(d) xp, yp = self._getPlotterCoords(posn) if xp is None or yp is None: # we can't calculate coordinates return clip = None if s.clip: clip = qt4.QRectF( qt4.QPointF(posn[0], posn[1]), qt4.QPointF(posn[2], posn[3]) ) borderorfill = not s.Border.hide or not s.Background.hide painter = phelper.painter(self, posn, clip=clip) with painter: textpen = s.get('Text').makeQPen() painter.setPen(textpen) font = s.get('Text').makeQFont(painter) margin = s.get('margin').convert(painter) # we should only be able to move non-dataset labels isnotdataset = ( not s.get('xPos').isDataset(d) and not s.get('yPos').isDataset(d) ) controlgraphitems = [] for index, (x, y, t) in enumerate(czip( xp, yp, itertools.cycle(text))): # render the text dx = dy = 0 if borderorfill: dx = -TextLabel.cnvtalignhorz[s.alignHorz]*margin dy = TextLabel.cnvtalignvert[s.alignVert]*margin r = utils.Renderer( painter, font, x+dx, y+dy, t, TextLabel.cnvtalignhorz[s.alignHorz], TextLabel.cnvtalignvert[s.alignVert], s.angle ) tbounds = r.getBounds() if borderorfill: tbounds = [ tbounds[0]-margin, tbounds[1]-margin, tbounds[2]+margin, tbounds[3]+margin ] rect = qt4.QRectF( qt4.QPointF(tbounds[0], tbounds[1]), qt4.QPointF(tbounds[2], tbounds[3])) path = qt4.QPainterPath() path.addRect(rect) pen = s.get('Border').makeQPenWHide(painter) utils.brushExtFillPath(painter, s.Background, path, stroke=pen) r.render() # add cgi for adjustable positions if isnotdataset: cgi = controlgraph.ControlMovableBox(self, tbounds, phelper, crosspos = (x, y)) cgi.labelpt = (x, y) cgi.widgetposn = posn cgi.index = index controlgraphitems.append(cgi) phelper.setControlGraph(self, controlgraphitems) def updateControlItem(self, cgi): """Update position of point given new name and vals.""" s = self.settings pointsX = list(s.xPos) # make a copy here so original is not modifed pointsY = list(s.yPos) ind = cgi.index # calculate new position coordinate for item xpos, ypos = self._getGraphCoords(cgi.widgetposn, cgi.deltacrosspos[0]+cgi.posn[0], cgi.deltacrosspos[1]+cgi.posn[1]) # this is a small distance away to get delta xposd, yposd = self._getGraphCoords(cgi.widgetposn, cgi.deltacrosspos[0]+cgi.posn[0]+1, cgi.deltacrosspos[1]+cgi.posn[1]+1) if xpos is None or ypos is None: return roundx = utils.round2delt(xpos, xposd) roundy = utils.round2delt(ypos, yposd) pointsX[ind], pointsY[ind] = roundx, roundy operations = ( document.OperationSettingSet(s.get('xPos'), pointsX), document.OperationSettingSet(s.get('yPos'), pointsY) ) self.document.applyOperation( document.OperationMultiple(operations, descr=_('move label')) ) # allow the factory to instantiate a text label document.thefactory.register( TextLabel ) veusz-1.21.1/veusz/widgets/pickable.py0000664000175000017500000002134312237406466016115 0ustar jssjss# pickable.py # stuff related to the Picker (aka Read Data) tool # Copyright (C) 2011 Benjamin K. Stuhl # Email: Benjamin K. Stuhl # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### from __future__ import division import numpy as N from ..compat import CBool from .. import document class PickInfo(CBool): """Encapsulates the results of a Pick operation. screenpos and coords are numeric (x,y) tuples, labels are the textual labels for the x and y datasets, and index is some object that the picker can use to figure out what the 'next' and 'previous' points are. index must implement __str__(); return '' if it has no user-visible meaning.""" def __init__(self, widget=None, screenpos=None, labels=None, coords=None, index=None): self.widget = widget self.screenpos = screenpos self.labels = labels self.coords = coords self.index = index self.distance = float('inf') self.displaytype = ('numeric', 'numeric') def cbool(self): return bool(self.widget and self.screenpos and self.labels and self.coords) class Index: """A class containing all the state a GenericPickable needs to find the next or previous point""" def __init__(self, ivar, index, sign): self.ivar = ivar self.index = index self.sign = sign # default to not trusting the actual index to be meaningful self.useindex = False def __str__(self): if not self.useindex: return '' else: # 1-based index return str(self.index+1) def _chooseOrderingSign(m, c, p): """Figures out whether p or m is visually right of c""" assert c is not None if p is not None and m is not None: if p[0] > m[0] or (p[0] == m[0] and p[1] < m[1]): # p is visually to the right of or above m return 1 else: return -1 elif p is not None: if p[0] > c[0]: # p is visually right of c return 1 else: return -1 elif m is not None: if m[0] < c[0]: # m is visually left of c return 1 else: return -1 else: assert m is not None or p is not None class GenericPickable: """Utility class which abstracts the math of picking the closest point out of a list of points""" def __init__(self, widget, labels, vals, screenvals): self.widget = widget self.labels = labels self.xvals, self.yvals = vals self.xscreen, self.yscreen = screenvals def _pickSign(self, i): if len(self.xscreen) <= 1: # we only have one element, so it doesn't matter anyways return 1 if i == 0: m = None else: m = self.xscreen[i-1], self.yscreen[i-1] c = self.xscreen[i], self.yscreen[i] if i+1 == len(self.xscreen): p = None else: p = self.xscreen[i+1], self.yscreen[i+1] return _chooseOrderingSign(m, c, p) def pickPoint(self, x0, y0, bounds, distance_direction): info = PickInfo(self.widget, labels=self.labels) if self.widget.settings.hide: return info if None in (self.xvals, self.yvals): return info if len(self.xscreen) == 0 or len(self.yscreen) == 0: return info # calculate distances if distance_direction == 'vertical': # measure distance along y dist = N.abs(self.yscreen - y0) elif distance_direction == 'horizontal': # measure distance along x dist = N.abs(self.xscreen - x0) elif distance_direction == 'radial': # measure radial distance dist = N.sqrt((self.xscreen - x0)**2 + (self.yscreen - y0)**2) else: # programming error assert (distance_direction == 'radial' or distance_direction == 'vertical' or distance_direction == 'horizontal') # ignore points which are offscreen outofbounds = ( (self.xscreen < bounds[0]) | (self.xscreen > bounds[2]) | (self.yscreen < bounds[1]) | (self.yscreen > bounds[3]) ) dist[outofbounds] = float('inf') m = N.min(dist) # if there are multiple equidistant points, arbitrarily take # the first one i = N.nonzero(dist == m)[0][0] info.screenpos = self.xscreen[i], self.yscreen[i] info.coords = self.xvals[i], self.yvals[i] info.distance = m info.index = Index(self.xvals[i], i, self._pickSign(i)) return info def pickIndex(self, oldindex, direction, bounds): info = PickInfo(self.widget, labels=self.labels) if self.widget.settings.hide: return info if None in (self.xvals, self.yvals): return info if oldindex.index is None: # no explicit index, so find the closest location to the previous # independent variable value i = N.logical_not( N.logical_or( self.xvals < oldindex.ivar, self.xvals > oldindex.ivar) ) # and pick the next if oldindex.sign == 1: i = max(N.nonzero(i)[0]) else: i = min(N.nonzero(i)[0]) else: i = oldindex.index if direction == 'right': incr = oldindex.sign elif direction == 'left': incr = -oldindex.sign else: assert direction == 'right' or direction == 'left' i += incr # skip points that are outside of the bounds while ( i >= 0 and i < len(self.xscreen) and (self.xscreen[i] < bounds[0] or self.xscreen[i] > bounds[2] or self.yscreen[i] < bounds[1] or self.yscreen[i] > bounds[3]) ): i += incr if i < 0 or i >= len(self.xscreen): return info info.screenpos = self.xscreen[i], self.yscreen[i] info.coords = self.xvals[i], self.yvals[i] info.index = Index(self.xvals[i], i, oldindex.sign) return info class DiscretePickable(GenericPickable): """A specialization of GenericPickable that knows how to deal with widgets with axes and data sets""" def __init__(self, widget, xdata_propname, ydata_propname, mapdata_fn): s = widget.settings doc = widget.document self.xdata = xdata = s.get(xdata_propname).getData(doc) self.ydata = ydata = s.get(ydata_propname).getData(doc) labels = s.__getattr__(xdata_propname), s.__getattr__(ydata_propname) if not xdata or not ydata or not mapdata_fn: GenericPickable.__init__( self, widget, labels, (None, None), (None, None) ) return # map all the valid data x, y = N.array([]), N.array([]) xs, ys = N.array([]), N.array([]) for xvals, yvals in document.generateValidDatasetParts(xdata, ydata): chunklen = min(len(xvals.data), len(yvals.data)) x = N.append(x, xvals.data[:chunklen]) y = N.append(y, yvals.data[:chunklen]) xs, ys = mapdata_fn(x, y) # and set us up with the mapped data GenericPickable.__init__( self, widget, labels, (x, y), (xs, ys) ) def pickPoint(self, x0, y0, bounds, distance_direction): info = GenericPickable.pickPoint(self, x0, y0, bounds, distance_direction) info.displaytype = (self.xdata.displaytype, self.ydata.displaytype) if not info: return info # indicies are persistent info.index.useindex = True return info def pickIndex(self, oldindex, direction, bounds): info = GenericPickable.pickIndex(self, oldindex, direction, bounds) info.displaytype = (self.xdata.displaytype, self.ydata.displaytype) if not info: return info # indicies are persistent info.index.useindex = True return info veusz-1.21.1/veusz/widgets/vectorfield.py0000644000175000017500000002231112327177747016652 0ustar jssjss# -*- coding: utf-8 -*- # Copyright (C) 2010 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### from __future__ import division import numpy as N from ..compat import czip from .. import setting from .. import document from .. import utils from .. import qtall as qt4 from . import plotters def _(text, disambiguation=None, context='VectorField'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class VectorField(plotters.GenericPlotter): '''A plotter for plotting a vector field.''' typename = 'vectorfield' allowusercreation = True description = _('Plot a vector field') def __init__(self, parent, name=None): """Initialse vector field plotter.""" plotters.GenericPlotter.__init__(self, parent, name=name) if type(self) == VectorField: self.readDefaults() @classmethod def addSettings(klass, s): '''Construct list of settings.''' plotters.GenericPlotter.addSettings(s) # datasets s.add( setting.DatasetExtended( 'data1', '', dimensions = 2, descr = _('X coordinate length or vector magnitude'), usertext = _('dx or r')), 0 ) s.add( setting.DatasetExtended( 'data2', '', dimensions = 2, descr = _('Y coordinate length or vector angle'), usertext = _('dy or theta')), 1 ) s.add( setting.Choice('mode', ['cartesian', 'polar'], 'cartesian', descr = _('Cartesian (dx,dy) or polar (r,theta)'), usertext = _('Mode')), 2 ) s.add( setting.FloatChoice( 'rotate', [0., 45., 90., 135., 180., -135., -90., -45.], 0., descr = _('Rotate vector clockwise by this angle in degrees'), usertext = _('Rotate')), 3 ) s.add( setting.Bool( 'reflectx', False, descr = _('Reflect vector in X direction'), usertext = _('Reflect X')), 4 ) s.add( setting.Bool( 'reflecty', False, descr = _('Reflect vector in Y direction'), usertext = _('Reflect Y')), 5 ) # formatting s.add( setting.DistancePt('baselength', '10pt', descr = _('Base length of unit vector'), usertext = _('Base length'), formatting=True), 0 ) s.add( setting.DistancePt('arrowsize', '2pt', descr = _('Size of any arrows'), usertext = _('Arrow size'), formatting=True), 1 ) s.add( setting.Bool('scalearrow', True, descr = _('Scale arrow head by length'), usertext = _('Scale arrow'), formatting=True), 2 ) s.add( setting.Arrow('arrowfront', 'none', descr = _('Arrow in front direction'), usertext=_('Arrow front'), formatting=True), 3) s.add( setting.Arrow('arrowback', 'none', descr = _('Arrow in back direction'), usertext=_('Arrow back'), formatting=True), 4) s.add( setting.Line('Line', descr = _('Line style'), usertext = _('Line')), pixmap = 'settings_plotline' ) s.add( setting.ArrowFill('Fill', descr = _('Arrow fill settings'), usertext = _('Arrow fill')), pixmap = 'settings_plotmarkerfill' ) def affectsAxisRange(self): """Range information provided by widget.""" s = self.settings return ( (s.xAxis, 'sx'), (s.yAxis, 'sy') ) def getRange(self, axis, depname, axrange): """Automatically determine the ranges of variable on the axes.""" for name in ('data1', 'data2'): data = self.settings.get(name).getData(self.document) if data is None: continue if data.dimensions == 2: xr, yr = data.getDataRanges() if depname == 'sx': dxrange = xr axrange[0] = min( axrange[0], dxrange[0] ) axrange[1] = max( axrange[1], dxrange[1] ) elif depname == 'sy': dyrange = yr axrange[0] = min( axrange[0], dyrange[0] ) axrange[1] = max( axrange[1], dyrange[1] ) def drawKeySymbol(self, number, painter, x, y, width, height): """Draw the plot symbol and/or line.""" painter.save() s = self.settings painter.setPen( s.Line.makeQPenWHide(painter) ) painter.setBrush( s.get('Fill').makeQBrushWHide() ) utils.plotLineArrow(painter, x+width, y+height*0.5, width, 180, height*0.25, arrowleft=s.arrowfront, arrowright=s.arrowback) painter.restore() def dataDraw(self, painter, axes, posn, cliprect): """Draw the widget.""" s = self.settings d = self.document # ignore non existing datasets data1 = s.get('data1').getData(d) data2 = s.get('data2').getData(d) if data1 is None or data2 is None: return # require 2d datasets if data1.dimensions != 2 or data2.dimensions != 2: return # get base length (ensure > 0) baselength = max(s.get('baselength').convert(painter), 1e-6) # try to be nice if the datasets don't match data1st, data2nd = data1.data, data2.data xw = min(data1st.shape[1], data2nd.shape[1]) yw = min(data1st.shape[0], data2nd.shape[0]) # get pixel coordinates xc, yc = data1.getPixelCentres() xc, yc = xc[:xw], yc[:yw] xdsvals = N.reshape(N.tile(xc, yw), xw*yw) ydsvals = N.reshape(N.tile(yc[:, N.newaxis], xw), xw*yw) # convert using axes to plotter values xplotter = axes[0].dataToPlotterCoords(posn, xdsvals) yplotter = axes[1].dataToPlotterCoords(posn, ydsvals) pen = s.Line.makeQPenWHide(painter) painter.setPen(pen) if s.mode == 'cartesian': dx = (data1st[:yw, :xw] * baselength).ravel() dy = (data2nd[:yw, :xw] * baselength).ravel() elif s.mode == 'polar': r = data1st[:yw, :xw].ravel() * baselength theta = data2nd[:yw, :xw].ravel() dx = r * N.cos(theta) dy = r * N.sin(theta) if s.rotate != 0.: angle = -s.rotate / 180 * N.pi rotx = dx*N.cos(angle) - dy*N.sin(angle) roty = dx*N.sin(angle) + dy*N.cos(angle) dx, dy = rotx, roty if s.reflectx: dx = -dx if s.reflecty: dy = -dy x1, x2 = xplotter-dx, xplotter+dx y1, y2 = yplotter+dy, yplotter-dy if s.arrowfront == 'none' and s.arrowback == 'none': utils.plotLinesToPainter(painter, x1, y1, x2, y2, cliprect) else: arrowsize = s.get('arrowsize').convert(painter) painter.setBrush( s.get('Fill').makeQBrushWHide() ) # this is backward - have to convert from dx, dy to angle, length angles = 180 - N.arctan2(dy, dx) * (180./N.pi) lengths = N.sqrt(dx**2+dy**2) * 2 # scale arrow heads by arrow length if requested if s.scalearrow: arrowsizes = (arrowsize/baselength/2) * lengths else: arrowsizes = N.zeros(lengths.shape) + arrowsize for x, y, l, a, asize in czip(x2, y2, lengths, angles, arrowsizes): if l != 0.: utils.plotLineArrow(painter, x, y, l, a, asize, arrowleft=s.arrowfront, arrowright=s.arrowback) # allow the factory to instantiate a vector field document.thefactory.register( VectorField ) veusz-1.21.1/veusz/widgets/polar.py0000644000175000017500000003276412273225057015462 0ustar jssjss# -*- coding: utf-8 -*- # Copyright (C) 2010 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """Polar plot widget.""" from __future__ import division import numpy as N from .nonorthgraph import NonOrthGraph from .axisticks import AxisTicks from . import axis from ..compat import crange from .. import qtall as qt4 from .. import document from .. import setting from .. import utils def _(text, disambiguation=None, context='Polar'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class Tick(setting.Line): '''Polar tick settings.''' def __init__(self, name, **args): setting.Line.__init__(self, name, **args) self.add( setting.DistancePt( 'length', '6pt', descr = _('Length of major ticks'), usertext=_('Length') ) ) self.add( setting.Int( 'number', 6, descr = _('Number of major ticks to aim for'), usertext=_('Number')) ) self.add( setting.Bool('hidespokes', False, descr = _('Hide radial spokes'), usertext = _('Hide spokes')) ) self.add( setting.Bool('hideannuli', False, descr = _('Hide annuli'), usertext = _('Hide annuli') ) ) self.get('color').newDefault('grey') def getLength(self, painter): '''Return tick length in painter coordinates''' return self.get('length').convert(painter) class TickLabel(axis.TickLabel): """For tick label.""" def __init__(self, *args, **argsv): axis.TickLabel.__init__(self, *args, **argsv) self.remove('offset') self.remove('rotate') self.remove('hide') self.add( setting.Bool('hideradial', False, descr = _('Hide radial labels'), usertext=_('Hide radial') ) ) self.add( setting.Bool('hidetangential', False, descr = _('Hide tangential labels'), usertext=_('Hide tangent') ) ) class Polar(NonOrthGraph): '''Polar plotter.''' typename='polar' allowusercreation = True description = _('Polar graph') def __init__(self, parent, name=None): '''Initialise polar plot.''' NonOrthGraph.__init__(self, parent, name=name) if type(self) == NonOrthGraph: self.readDefaults() @classmethod def addSettings(klass, s): '''Construct list of settings.''' NonOrthGraph.addSettings(s) s.add( setting.FloatOrAuto('minradius', 'Auto', descr=_('Minimum value of radius'), usertext=_('Min radius')) ) s.add( setting.FloatOrAuto('maxradius', 'Auto', descr=_('Maximum value of radius'), usertext=_('Max radius')) ) s.add( setting.Choice('units', ('degrees', 'radians'), 'degrees', descr = _('Angular units'), usertext=_('Units')) ) s.add( setting.Choice('direction', ('clockwise', 'anticlockwise'), 'anticlockwise', descr = _('Angle direction'), usertext = _('Direction')) ) s.add( setting.Choice('position0', ('right', 'top', 'left', 'bottom'), 'right', descr = _('Direction of 0 angle'), usertext = _(u'Position of 0°')) ) s.add( setting.Bool('log', False, descr = _('Logarithmic radial axis'), usertext = _('Log')) ) s.add( TickLabel('TickLabels', descr = _('Tick labels'), usertext=_('Tick labels')), pixmap='settings_axisticklabels' ) s.add( Tick('Tick', descr = _('Tick line'), usertext=_('Tick')), pixmap='settings_axismajorticks' ) s.get('leftMargin').newDefault('1cm') s.get('rightMargin').newDefault('1cm') s.get('topMargin').newDefault('1cm') s.get('bottomMargin').newDefault('1cm') @property def userdescription(self): s = self.settings return _("'units=%s, direction=%s, log=%s") % ( s.units, s.direction, str(s.log)) def coordRanges(self): '''Get ranges of coordinates.''' angularrange = [[0., 2.*N.pi], [0., 360]][ self.settings.units == 'degrees' ] return [ [self._minradius, self._maxradius], angularrange ] def toPlotAngle(self, angles): """Convert one or more angles to angle on plot.""" s = self.settings # unit conversion if s.units == 'degrees': angles = angles * (N.pi/180.) # change direction if self.settings.direction == 'anticlockwise': angles = -angles # add offset angles -= {'right': 0, 'top': 0.5*N.pi, 'left': N.pi, 'bottom': 1.5*N.pi}[self.settings.position0] return angles def toPlotRadius(self, radii): """Convert radii to a plot radii.""" if self.settings.log: logmin = N.log(self._minradius) logmax = N.log(self._maxradius) r = ( N.log(N.clip(radii, 1e-99, 1e99)) - logmin ) / ( logmax - logmin) else: r = (radii - self._minradius) / ( self._maxradius - self._minradius) return N.where(r > 0., r, 0.) def graphToPlotCoords(self, coorda, coordb): '''Convert coordinates in r, theta to x, y.''' ca = self.toPlotRadius(coorda) cb = self.toPlotAngle(coordb) x = self._xc + ca * N.cos(cb) * self._xscale y = self._yc + ca * N.sin(cb) * self._yscale return x, y def drawFillPts(self, painter, extfill, cliprect, ptsx, ptsy): '''Draw points for plotting a fill.''' pts = qt4.QPolygonF() utils.addNumpyToPolygonF(pts, ptsx, ptsy) filltype = extfill.filltype if filltype == 'center': pts.append( qt4.QPointF(self._xc, self._yc) ) utils.brushExtFillPolygon(painter, extfill, cliprect, pts) elif filltype == 'outside': pp = qt4.QPainterPath() pp.moveTo(self._xc, self._yc) pp.arcTo(cliprect, 0, 360) pp.addPolygon(pts) utils.brushExtFillPath(painter, extfill, pp) elif filltype == 'polygon': utils.brushExtFillPolygon(painter, extfill, cliprect, pts) def drawGraph(self, painter, bounds, datarange, outerbounds=None): '''Plot graph area and axes.''' s = self.settings if datarange is None: datarange = [0., 1., 0., 1.] if s.maxradius == 'Auto': self._maxradius = datarange[1] else: self._maxradius = s.maxradius if s.minradius == 'Auto': if s.log: if datarange[0] > 0.: self._minradius = datarange[0] else: self._minradius = self._maxradius / 100. else: if datarange[0] >= 0: self._minradius = 0. else: self._minradius = datarange[0] else: self._minradius = s.minradius # stop negative values if s.log: self._minradius = N.clip(self._minradius, 1e-99, 1e99) self._maxradius = N.clip(self._maxradius, 1e-99, 1e99) if self._minradius == self._maxradius: self._maxradius = self._minradius + 1 self._xscale = (bounds[2]-bounds[0])*0.5 self._yscale = (bounds[3]-bounds[1])*0.5 self._xc = 0.5*(bounds[0]+bounds[2]) self._yc = 0.5*(bounds[3]+bounds[1]) path = qt4.QPainterPath() path.addEllipse( qt4.QRectF( qt4.QPointF(bounds[0], bounds[1]), qt4.QPointF(bounds[2], bounds[3]) ) ) utils.brushExtFillPath(painter, s.Background, path, stroke=s.Border.makeQPenWHide(painter)) def setClip(self, painter, bounds): '''Set clipping for graph.''' p = qt4.QPainterPath() p.addEllipse( qt4.QRectF( qt4.QPointF(bounds[0], bounds[1]), qt4.QPointF(bounds[2], bounds[3]) ) ) painter.setClipPath(p) def drawAxes(self, painter, bounds, datarange, outerbounds=None): '''Plot axes.''' s = self.settings t = s.Tick # handle reversed axes using min and max below r = [self._minradius, self._maxradius] atick = AxisTicks(min(r), max(r), t.number, t.number*4, extendmin=False, extendmax=False, logaxis=s.log) atick.getTicks() majtick = atick.tickvals # drop 0 at origin if self._minradius == 0. and not s.log: majtick = majtick[1:] # draw ticks as circles if not t.hideannuli: painter.setPen( s.Tick.makeQPenWHide(painter) ) painter.setBrush( qt4.QBrush() ) for tick in majtick: radius = self.toPlotRadius(tick) if radius > 0: rect = qt4.QRectF( qt4.QPointF( self._xc - radius*self._xscale, self._yc - radius*self._yscale ), qt4.QPointF( self._xc + radius*self._xscale, self._yc + radius*self._yscale ) ) painter.drawEllipse(rect) # setup axes plot tl = s.TickLabels scale, format = tl.scale, tl.format if format == 'Auto': format = atick.autoformat painter.setPen( tl.makeQPen() ) font = tl.makeQFont(painter) # draw radial axis if not s.TickLabels.hideradial: for tick in majtick: num = utils.formatNumber(tick*scale, format, locale=self.document.locale) x = self.toPlotRadius(tick) * self._xscale + self._xc r = utils.Renderer(painter, font, x, self._yc, num, alignhorz=-1, alignvert=-1, usefullheight=True) r.render() if s.units == 'degrees': angles = [ u'0°', u'30°', u'60°', u'90°', u'120°', u'150°', u'180°', u'210°', u'240°', u'270°', u'300°', u'330°' ] else: angles = [ '0', u'π/6', u'π/3', u'π/2', u'2π/3', u'5π/6', u'π', u'7π/6', u'4π/3', u'3π/2', u'5π/3', u'11π/6' ] align = [ (-1, 1), (-1, 1), (-1, 1), (0, 1), (1, 1), (1, 1), (1, 0), (1, -1), (1, -1), (0, -1), (-1, -1), (-1, -1) ] if s.direction == 'anticlockwise': angles = angles[0:1] + angles[1:][::-1] # rotate labels if zero not at right if s.position0 == 'top': angles = angles[3:] + angles[:4] elif s.position0 == 'left': angles = angles[6:] + angles[:7] elif s.position0 == 'bottom': angles = angles[9:] + angles[:10] # draw labels around plot if not s.TickLabels.hidetangential: for i in crange(12): angle = 2 * N.pi / 12 x = self._xc + N.cos(angle*i) * self._xscale y = self._yc + N.sin(angle*i) * self._yscale r = utils.Renderer(painter, font, x, y, angles[i], alignhorz=align[i][0], alignvert=align[i][1], usefullheight=True) r.render() # draw spokes if not t.hidespokes: painter.setPen( s.Tick.makeQPenWHide(painter) ) painter.setBrush( qt4.QBrush() ) angle = 2 * N.pi / 12 lines = [] for i in crange(12): x = self._xc + N.cos(angle*i) * self._xscale y = self._yc + N.sin(angle*i) * self._yscale lines.append( qt4.QLineF(qt4.QPointF(self._xc, self._yc), qt4.QPointF(x, y)) ) painter.drawLines(lines) document.thefactory.register(Polar) veusz-1.21.1/veusz/widgets/function.py0000644000175000017500000003427712327177747016207 0ustar jssjss# Copyright (C) 2008 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### """For plotting numerical functions.""" from __future__ import division import numpy as N from ..compat import czip, cstr from .. import qtall as qt4 from .. import document from .. import setting from .. import utils from . import pickable from .plotters import GenericPlotter def _(text, disambiguation=None, context='Function'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class FunctionPlotter(GenericPlotter): """Function plotting class.""" typename='function' allowusercreation=True description=_('Plot a function') def __init__(self, parent, name=None): """Initialise plotter.""" GenericPlotter.__init__(self, parent, name=name) if type(self) == FunctionPlotter: self.readDefaults() @classmethod def addSettings(klass, s): """Construct list of settings.""" GenericPlotter.addSettings(s) s.add( setting.Int('steps', 50, minval = 3, descr = _('Number of steps to evaluate the function' ' over'), usertext=_('Steps'), formatting=True), 0 ) s.add( setting.Choice('variable', ['x', 'y'], 'x', descr=_('Variable the function is a function of'), usertext=_('Variable')), 0 ) s.add( setting.Str('function', 'x', descr=_('Function expression'), usertext=_('Function')), 0 ) s.add(setting.FloatOrAuto('min', 'Auto', descr=_('Minimum value at which to plot function'), usertext=_('Min'))) s.add(setting.FloatOrAuto('max', 'Auto', descr=_('Maximum value at which to plot function'), usertext=_('Max'))) s.add( setting.Line('Line', descr = _('Function line settings'), usertext = _('Plot line')), pixmap = 'settings_plotline' ) s.add( setting.PlotterFill('FillBelow', descr = _('Fill below/left function'), usertext = _('Fill below')), pixmap = 'settings_plotfillbelow' ) s.add( setting.PlotterFill('FillAbove', descr = _('Fill mode above/right function'), usertext = _('Fill above')), pixmap = 'settings_plotfillabove' ) @property def userdescription(self): """User-friendly description.""" return "%(variable)s = %(function)s" % self.settings def logEvalError(self, ex): """Write error message to document log for exception ex.""" self.document.log( "Error evaluating expression in function widget '%s': '%s'" % ( self.name, cstr(ex))) def affectsAxisRange(self): s = self.settings if s.variable == 'x': return ((s.yAxis, 'both'),) else: return ((s.xAxis, 'both'),) def requiresAxisRange(self): s = self.settings if s.variable == 'x': return (('both', s.xAxis),) else: return (('both', s.yAxis),) def getRange(self, axis, depname, axrange): """Adjust the range of the axis depending on the values plotted.""" s = self.settings # ignore empty function if s.function.strip() == '': return # ignore if function isn't sensible compiled = self.document.compileCheckedExpression(s.function) if compiled is None: return # find axis to find variable range over axis = self.lookupAxis( {'x': s.xAxis, 'y': s.yAxis}[s.variable] ) if not axis: return # get range of that axis varaxrange = list(axis.getPlottedRange()) if varaxrange[0] == varaxrange[1]: return # trim to range if s.min != 'Auto': varaxrange[0] = max(s.min, varaxrange[0]) if s.max != 'Auto': varaxrange[1] = min(s.max, varaxrange[1]) # work out function in steps try: if axis.settings.log: # log spaced steps l1, l2 = N.log(varaxrange[1]), N.log(varaxrange[0]) delta = (l2-l1)/20. points = N.exp(N.arange(l1, l2+delta, delta)) else: # linear spaced steps delta = (varaxrange[1] - varaxrange[0])/20. points = N.arange(varaxrange[0], varaxrange[1]+delta, delta) except ZeroDivisionError: # delta is zero return env = self.initEnviron() env[s.variable] = points try: vals = eval(compiled, env) + points*0. except: # something wrong in the evaluation return # get values which are finite: excluding nan and inf finitevals = vals[N.isfinite(vals)] # update the automatic range if len(finitevals) > 0: axrange[0] = min(N.min(finitevals), axrange[0]) axrange[1] = max(N.max(finitevals), axrange[1]) def _plotLine(self, painter, xpts, ypts, bounds, clip): """ Plot the points in xpts, ypts.""" x1, y1, x2, y2 = bounds maxdeltax = (x2-x1)*3/4 maxdeltay = (y2-y1)*3/4 # idea is to collect points until we go out of the bounds # or reach the end, then plot them pts = qt4.QPolygonF() lastx = lasty = -65536 for x, y in czip(xpts, ypts): # ignore point if it outside sensible bounds if x < -32767 or y < -32767 or x > 32767 or y > 32767: if len(pts) >= 2: utils.plotClippedPolyline(painter, clip, pts) pts.clear() else: # if the jump wasn't too large, add the point to the points if abs(x-lastx) < maxdeltax and abs(y-lasty) < maxdeltay: pts.append( qt4.QPointF(x, y) ) else: # draw what we have until now, and start a new line if len(pts) >= 2: utils.plotClippedPolyline(painter, clip, pts) pts.clear() pts.append( qt4.QPointF(x, y) ) lastx = x lasty = y # draw remaining points if len(pts) >= 2: utils.plotClippedPolyline(painter, clip, pts) def _fillRegion(self, painter, pxpts, pypts, bounds, belowleft, clip, brush): """Fill the region above/below or left/right of the points. belowleft fills below if the variable is 'x', or left if 'y' otherwise it fills above/right.""" # find starting and ending points for the filled region x1, y1, x2, y2 = bounds # trimming can lead to too few points if len(pxpts) < 2 or len(pypts) < 2: return pts = qt4.QPolygonF() if self.settings.variable == 'x': if belowleft: pts.append(qt4.QPointF(pxpts[0], y2)) endpt = qt4.QPointF(pxpts[-1], y2) else: pts.append(qt4.QPointF(pxpts[0], y1)) endpt = qt4.QPointF(pxpts[-1], y1) else: if belowleft: pts.append(qt4.QPointF(x1, pypts[0])) endpt = qt4.QPointF(x1, pypts[-1]) else: pts.append(qt4.QPointF(x2, pypts[0])) endpt = qt4.QPointF(x2, pypts[-1]) # add the points between utils.addNumpyToPolygonF(pts, pxpts, pypts) # stick on the ending point pts.append(endpt) # draw the clipped polygon clipped = qt4.QPolygonF() utils.polygonClip(pts, clip, clipped) path = qt4.QPainterPath() path.addPolygon(clipped) utils.brushExtFillPath(painter, brush, path) def drawKeySymbol(self, number, painter, x, y, width, height): """Draw the plot symbol and/or line.""" s = self.settings yp = y + height/2 # draw line if not s.Line.hide: painter.setBrush( qt4.QBrush() ) painter.setPen( s.Line.makeQPen(painter) ) painter.drawLine( qt4.QPointF(x, yp), qt4.QPointF(x+width, yp) ) def initEnviron(self): """Set up function environment.""" return self.document.eval_context.copy() def getIndependentPoints(self, axes, posn): """Calculate the real and screen points to plot for the independent axis""" s = self.settings if ( None in axes or axes[0].settings.direction != 'horizontal' or axes[1].settings.direction != 'vertical' ): return None, None # get axes function is plotted along and on and # plot coordinates along axis function plotted along if s.variable == 'x': axis1, axis2 = axes[0], axes[1] minval, maxval = posn[0], posn[2] else: axis1, axis2 = axes[1], axes[0] minval, maxval = posn[1], posn[3] # get equally spaced coordinates along axis in plotter coords plotpts = N.arange(s.steps) * ((maxval-minval) / (s.steps-1)) + minval # convert to axis coordinates axispts = axis1.plotterToDataCoords(posn, plotpts) # trim according to min and max. have to convert back to plotter too. if s.min != 'Auto': axispts = axispts[ axispts >= s.min ] plotpts = axis1.dataToPlotterCoords(posn, axispts) if s.max != 'Auto': axispts = axispts[ axispts <= s.max ] plotpts = axis1.dataToPlotterCoords(posn, axispts) return axispts, plotpts def calcDependentPoints(self, axispts, axes, posn): """Calculate the real and screen points to plot for the dependent axis""" s = self.settings if ( None in axes or axes[0].settings.direction != 'horizontal' or axes[1].settings.direction != 'vertical' ): return None, None if axispts is None: return None, None compiled = self.document.compileCheckedExpression(s.function) if not compiled: return None, None axis2 = axes[1] if s.variable == 'x' else axes[0] # evaluate function env = self.initEnviron() env[s.variable] = axispts try: results = eval(compiled, env) + N.zeros(axispts.shape) resultpts = axis2.dataToPlotterCoords(posn, results) except Exception as e: self.logEvalError(e) results = None resultpts = None return results, resultpts def calcFunctionPoints(self, axes, posn): ipts, pipts = self.getIndependentPoints(axes, posn) dpts, pdpts = self.calcDependentPoints(ipts, axes, posn) if self.settings.variable == 'x': return (ipts, dpts), (pipts, pdpts) else: return (dpts, ipts), (pdpts, pipts) def _pickable(self, posn): s = self.settings axisnames = [s.xAxis, s.yAxis] axes = self.parent.getAxes(axisnames) if s.variable == 'x': axisnames[1] = axisnames[1] + '(' + axisnames[0] + ')' else: axisnames[0] = axisnames[0] + '(' + axisnames[1] + ')' (xpts, ypts), (pxpts, pypts) = self.calcFunctionPoints(axes, posn) return pickable.GenericPickable( self, axisnames, (xpts, ypts), (pxpts, pypts) ) def pickPoint(self, x0, y0, bounds, distance='radial'): return self._pickable(bounds).pickPoint(x0, y0, bounds, distance) def pickIndex(self, oldindex, direction, bounds): return self._pickable(bounds).pickIndex(oldindex, direction, bounds) def dataDraw(self, painter, axes, posn, cliprect): """Draw the function.""" s = self.settings # exit if hidden or function blank if s.function.strip() == '': return # get the points to plot by evaluating the function (xpts, ypts), (pxpts, pypts) = self.calcFunctionPoints(axes, posn) # draw the function line if pxpts is None or pypts is None: # not sure how to deal with errors here painter.setPen( setting.settingdb.color('error') ) f = qt4.QFont() f.setPointSize(20) painter.setFont(f) painter.drawText( cliprect, qt4.Qt.AlignCenter, "Cannot evaluate '%s'" % s.function ) else: if not s.FillBelow.hide: self._fillRegion(painter, pxpts, pypts, posn, True, cliprect, s.FillBelow) if not s.FillAbove.hide: self._fillRegion(painter, pxpts, pypts, posn, False, cliprect, s.FillAbove) if not s.Line.hide: painter.setBrush( qt4.QBrush() ) painter.setPen( s.Line.makeQPen(painter) ) self._plotLine(painter, pxpts, pypts, posn, cliprect) # allow the factory to instantiate an function plotter document.thefactory.register( FunctionPlotter ) veusz-1.21.1/veusz/widgets/axisbroken.py0000664000175000017500000003523112237406466016511 0ustar jssjss# Copyright (C) 2013 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## '''An axis which can be broken in places.''' from __future__ import division import bisect import numpy as N from ..compat import crange, czip from .. import qtall as qt4 from .. import setting from .. import document from .. import utils from . import axis from . import controlgraph def _(text, disambiguation=None, context='BrokenAxis'): '''Translate text.''' return qt4.QCoreApplication.translate(context, text, disambiguation) class AxisBroken(axis.Axis): '''An axis widget which can have gaps in it.''' typename = 'axis-broken' description = 'Axis with breaks in it' def __init__(self, parent, name=None): """Initialise axis.""" axis.Axis.__init__(self, parent, name=name) self.rangeswitch = None self.breakchangeset = -1 if type(self) == AxisBroken: self.readDefaults() @classmethod def addSettings(klass, s): '''Construct list of settings.''' axis.Axis.addSettings(s) s.add( setting.FloatList( 'breakPoints', [], descr = _('Pairs of values to start and stop breaks'), usertext = _('Break pairs'), ), 4 ) s.add( setting.FloatList( 'breakPosns', [], descr = _('Positions (fractions) along axis where to break'), usertext = _('Break positions'), formatting=True, ) ) def switchBreak(self, num, posn, otherposition=None): """Switch to break given (or None to disable).""" self.rangeswitch = num if num is None: self.plottedrange = self.orig_plottedrange else: self.plottedrange = [self.breakvstarts[num], self.breakvstops[num]] self.updateAxisLocation(posn, otherposition=otherposition) def plotterToGraphCoords(self, bounds, vals): """Convert values in plotter coordinates to data values. This needs to know about whether we've not switched between the breaks. Note that this implementation is very slow! Hopefully it won't be called often. """ if self.rangeswitch is not None: return axis.Axis.plotterToGraphCoords(self, bounds, vals) # scaled to be fractional coordinates in bounds if self.settings.direction == 'horizontal': svals = (vals - bounds[0]) / (bounds[2] - bounds[0]) else: svals = (vals - bounds[3]) / (bounds[1] - bounds[3]) # first work out which break region the values are in out = [] for sval, val in czip(svals, vals): # find index for appropriated scaled starting value breaki = bisect.bisect_left(self.posstarts, sval) - 1 if ( breaki >= 0 and breaki < self.breakvnum and sval <= self.posstops[breaki] ): self.switchBreak(breaki, bounds) coord = axis.Axis.plotterToGraphCoords( self, bounds, N.array([val]))[0] else: coord = N.nan out.append(coord) self.switchBreak(None, bounds) return N.array(out) def _graphToPlotter(self, vals): """Convert graph values to plotter coords. This could be slow if no range selected """ if self.rangeswitch is not None: return axis.Axis._graphToPlotter(self, vals) out = [] for val in vals: breaki = bisect.bisect_left(self.breakvstarts, val) - 1 if breaki >= 0 and breaki < self.breakvnum: if val > self.breakvstops[breaki] and breaki < self.breakvnum-1: # in gap, so use half-value coord = 0.5*(self.posstops[breaki]+self.posstarts[breaki+1]) b = self.currentbounds if self.settings.direction == 'horizontal': coord = coord*(b[2] - b[0]) + b[0] else: coord = coord*(b[3] - b[1]) + b[1] else: # lookup value self.switchBreak(breaki, self.currentbounds) coord = axis.Axis._graphToPlotter(self, N.array([val])) else: coord = N.nan out.append(coord) self.switchBreak(None, self.currentbounds) return N.array(out) def updateAxisLocation(self, bounds, otherposition=None): """Recalculate broken axis positions.""" s = self.settings if self.document.changeset != self.breakchangeset: self.breakchangeset = self.document.changeset # actually start and stop values on axis num = len(s.breakPoints) // 2 posns = list(s.breakPosns) posns.sort() # add on more break positions if not specified if len(posns) < num: start = 0. if len(posns) != 0: start = posns[-1] posns = posns + list( N.arange(1,num-len(posns)+1) * ( (1.-start) / (num-len(posns)+1) + start )) # fractional difference between starts and stops breakgap = 0.05 # collate fractional positions for starting and stopping starts = [0.] stops = [] for pos in posns: stops.append( pos - breakgap/2. ) starts.append( pos + breakgap/2. ) stops.append(1.) # scale according to allowable range d = s.upperPosition - s.lowerPosition self.posstarts = N.array(starts)*d + s.lowerPosition self.posstops = N.array(stops)*d + s.lowerPosition # pass lower and upper ranges if a particular range is chosen if self.rangeswitch is None: lowerupper = None else: lowerupper = ( self.posstarts[self.rangeswitch], self.posstops[self.rangeswitch] ) axis.Axis.updateAxisLocation(self, bounds, otherposition=otherposition, lowerupperposition=lowerupper) def computePlottedRange(self): """Given range of data, recompute stops and start values of breaks.""" axis.Axis.computePlottedRange(self) r = self.orig_plottedrange = self.plottedrange points = list(self.settings.breakPoints) points.sort() if r[1] < r[0]: points.reverse() # filter to range newpoints = [] for i in crange(0, len(points)//2 * 2, 2): if points[i] >= min(r) and points[i+1] <= max(r): newpoints += [points[i], points[i+1]] self.breakvnum = num = len(newpoints)//2 + 1 self.breakvlist = [self.plottedrange[0]] + newpoints + [ self.plottedrange[1]] # axis values for starting and stopping self.breakvstarts = [ self.breakvlist[i*2] for i in crange(num) ] self.breakvstops = [ self.breakvlist[i*2+1] for i in crange(num) ] # compute ticks for each range self.minorticklist = [] self.majorticklist = [] for i in crange(self.breakvnum): self.plottedrange = [self.breakvstarts[i], self.breakvstops[i]] reverse = self.plottedrange[0] > self.plottedrange[1] if reverse: self.plottedrange.reverse() self.computeTicks(allowauto=False) if reverse: self.plottedrange.reverse() self.minorticklist.append(self.minortickscalc) self.majorticklist.append(self.majortickscalc) self.plottedrange = self.orig_plottedrange def _autoMirrorDraw(self, posn, painter): """Mirror axis to opposite side of graph if there isn't an axis there already.""" # swap axis to other side s = self.settings if s.otherPosition < 0.5: otheredge = 1. else: otheredge = 0. # temporarily change position of axis to other side for drawing self.updateAxisLocation(posn, otherposition=otheredge) if not s.Line.hide: self._drawAxisLine(painter) for i in crange(self.breakvnum): self.switchBreak(i, posn, otherposition=otheredge) # plot coordinates of ticks coordticks = self._graphToPlotter(self.majorticklist[i]) coordminorticks = self._graphToPlotter(self.minorticklist[i]) if not s.MinorTicks.hide: self._drawMinorTicks(painter, coordminorticks) if not s.MajorTicks.hide: self._drawMajorTicks(painter, coordticks) self.switchBreak(None, posn) def _drawAxisLine(self, painter): """Draw the line of the axis, indicating broken positions. We currently use a triangle to mark the broken position """ # these are x and y, or y and x coordinates p1 = [self.posstarts[0]] p2 = [0.] # mirror shape using this setting markdirn = -1 if self.coordReflected: markdirn = -markdirn # add shape for each break for start, stop in czip( self.posstarts[1:], self.posstops[:-1] ): p1 += [stop, (start+stop)*0.5, start] p2 += [0, markdirn*(start-stop)*0.5, 0] # end point p1.append(self.posstops[-1]) p2.append(0.) # scale points by length of axis and add correct origin scale = self.coordParr2 - self.coordParr1 p1 = N.array(p1) * scale + self.coordParr1 p2 = N.array(p2) * scale + self.coordPerp if self.settings.direction == 'vertical': p1, p2 = p2, p1 # convert to polygon and draw poly = qt4.QPolygonF() utils.addNumpyToPolygonF(poly, p1, p2) pen = self.settings.get('Line').makeQPen(painter) pen.setCapStyle(qt4.Qt.FlatCap) painter.setPen(pen) painter.drawPolyline(poly) def drawGrid(self, parentposn, phelper, outerbounds=None, ontop=False): """Code to draw gridlines. This is separate from the main draw routine because the grid should be behind/infront the data points. """ s = self.settings if ( s.hide or (s.MinorGridLines.hide and s.GridLines.hide) or s.GridLines.onTop != bool(ontop) ): return # draw grid on a different layer, depending on whether on top or not layer = (-2, -1)[bool(ontop)] painter = phelper.painter(self, parentposn, layer=layer) self.updateAxisLocation(parentposn) with painter: painter.save() painter.setClipRect( qt4.QRectF( qt4.QPointF(parentposn[0], parentposn[1]), qt4.QPointF(parentposn[2], parentposn[3]) ) ) for i in crange(self.breakvnum): self.switchBreak(i, parentposn) if not s.MinorGridLines.hide: coordminorticks = self._graphToPlotter(self.minorticklist[i]) self._drawGridLines('MinorGridLines', painter, coordminorticks, parentposn) if not s.GridLines.hide: coordticks = self._graphToPlotter(self.majorticklist[i]) self._drawGridLines('GridLines', painter, coordticks, parentposn) self.switchBreak(None, parentposn) painter.restore() def _axisDraw(self, posn, parentposn, outerbounds, painter, phelper): """Main drawing routine of axis.""" s = self.settings # multiplication factor if reflection on the axis is requested sign = 1 if s.direction == 'vertical': sign *= -1 if self.coordReflected: sign *= -1 # keep track of distance from axis # text to output texttorender = [] # plot the line along the axis if not s.Line.hide: self._drawAxisLine(painter) max_delta = 0 for i in crange(self.breakvnum): self.switchBreak(i, posn) # plot coordinates of ticks coordticks = self._graphToPlotter(self.majorticklist[i]) coordminorticks = self._graphToPlotter(self.minorticklist[i]) self._delta_axis = 0 # plot minor ticks if not s.MinorTicks.hide: self._drawMinorTicks(painter, coordminorticks) # plot major ticks if not s.MajorTicks.hide: self._drawMajorTicks(painter, coordticks) # plot tick labels suppresstext = self._suppressText(painter, parentposn, outerbounds) if not s.TickLabels.hide and not suppresstext: self._drawTickLabels(phelper, painter, coordticks, sign, outerbounds, self.majorticklist[i], texttorender) # this is the maximum delta of any of the breaks max_delta = max(max_delta, self._delta_axis) self.switchBreak(None, posn) self._delta_axis = max_delta # draw an axis label if not s.Label.hide and not suppresstext: self._drawAxisLabel(painter, sign, outerbounds, texttorender) # mirror axis at other side of plot if s.autoMirror and self._shouldAutoMirror(): self._autoMirrorDraw(posn, painter) self._drawTextWithoutOverlap(painter, texttorender) # make control item for axis phelper.setControlGraph(self, [ controlgraph.ControlAxisLine( self, self.settings.direction, self.coordParr1, self.coordParr2, self.coordPerp, posn) ]) # allow the factory to instantiate the widget document.thefactory.register( AxisBroken ) veusz-1.21.1/veusz/widgets/root.py0000664000175000017500000001340712237406466015330 0ustar jssjss# root.py # Represents the root widget for plotting the document # Copyright (C) 2004 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## from __future__ import division import textwrap from .. import qtall as qt4 from .. import document from .. import setting from . import widget from . import controlgraph def _(text, disambiguation=None, context='Root'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class Root(widget.Widget): """Root widget class for plotting the document.""" typename='document' allowusercreation = False def __init__(self, parent, name=None, document=None): """Initialise object.""" widget.Widget.__init__(self, parent, name=name) s = self.settings self.document = document # don't want user to be able to hide entire document stylesheet = setting.StyleSheet(descr=_('Master settings for document'), usertext=_('Style sheet')) s.add(stylesheet) self.fillStylesheet(stylesheet) if type(self) == Root: self.readDefaults() s.get('englishlocale').setOnModified(self.changeLocale) @classmethod def addSettings(klass, s): widget.Widget.addSettings(s) s.remove('hide') s.add( setting.DistancePhysical( 'width', '15cm', descr=_('Width of the pages'), usertext=_('Page width'), formatting=True) ) s.add( setting.DistancePhysical( 'height', '15cm', descr=_('Height of the pages'), usertext=_('Page height'), formatting=True) ) s.add( setting.Bool( 'englishlocale', False, descr=_('Use US/English number formatting for ' 'document'), usertext=_('English locale'), formatting=True) ) s.add( setting.Notes( 'notes', '', descr=_('User-defined notes'), usertext=_('Notes') ) ) @classmethod def allowedParentTypes(klass): return (None,) @property def userdescription(self): """Return user-friendly description.""" return textwrap.fill(self.settings.notes, 60) def changeLocale(self): """Update locale of document if changed by user.""" if self.settings.englishlocale: self.document.locale = qt4.QLocale.c() else: self.document.locale = qt4.QLocale() self.document.locale.setNumberOptions(qt4.QLocale.OmitGroupSeparator) def getPage(self, pagenum): """Get page widget.""" try: return self.children[pagenum] except IndexError: return None def draw(self, painthelper, pagenum): """Draw the page requested on the painter.""" xw, yw = painthelper.pagesize posn = [0, 0, xw, yw] painter = painthelper.painter(self, posn) with painter: page = self.children[pagenum] page.draw( posn, painthelper ) # w and h are non integer w = self.settings.get('width').convert(painter) h = self.settings.get('height').convert(painter) painthelper.setControlGraph(self, [ controlgraph.ControlMarginBox(self, [0, 0, w, h], [-10000, -10000, 10000, 10000], painthelper, ismovable = False) ] ) def updateControlItem(self, cgi): """Call helper to set page size.""" cgi.setPageSize() def fillStylesheet(self, stylesheet): """Register widgets with stylesheet.""" for widgetname in document.thefactory.listWidgets(): klass = document.thefactory.getWidgetClass(widgetname) if klass.allowusercreation or klass == Root: newsett = setting.Settings(name=klass.typename, usertext = klass.typename, pixmap="button_%s" % klass.typename) classset = setting.Settings('temp') klass.addSettings(classset) # copy formatting settings to stylesheet for name in classset.setnames: # might become recursive if name == 'StyleSheet': continue sett = classset.setdict[name] # skip non formatting settings #if hasattr(sett, 'formatting') and not sett.formatting: # continue newsett.add( sett.copy() ) stylesheet.add(newsett) # allow the factory to instantiate this document.thefactory.register( Root ) veusz-1.21.1/veusz/widgets/axisticks.py0000644000175000017500000005023712327177747016356 0ustar jssjss# axisticks.py # algorithm to work out what tick-marks to put on an axis # Copyright (C) 2003 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## from __future__ import division import math import numpy as N from ..compat import crange from .. import utils """Algorithms for working with axis ticks. These algorithms were designed by me (Jeremy Sanders), so there may well be bugs. Please report them. The idea is to try to achieve a set number of major and minor ticks by looking though a list of allowable interval values (after taking account of what power of 10 the coordinates are in). """ class AxisTicksBase(object): """Base class of axis ticks classes.""" def __init__( self, minval, maxval, numticks, numminorticks, logaxis = False, prefermore = True, extendmin = False, extendmax = False, forceinterval = None ): """Initialise the class. minval and maxval are the range of the data to be plotted numticks number of major ticks to aim for logaxis: axis logarithmic? prefermore: prefer more ticks rather than fewer extendbounds: extend minval and maxval to nearest tick if okay forceinterval: force interval to one given (if allowed). interval is tuple as returned in self.interval after calling getTicks() """ self.minval = minval self.maxval = maxval self.numticks = numticks self.numminorticks = numminorticks self.logaxis = logaxis self.prefermore = prefermore self.extendmin = extendmin self.extendmax = extendmax self.forceinterval = forceinterval def getTicks( self ): """Calculate and return the position of the major ticks. Results are returned as attributes of this object in interval, minval, maxval, tickvals, minorticks, autoformat """ class AxisTicks(AxisTicksBase): """Class to work out at what values axis major ticks should appear.""" # the allowed values we allow ticks to increase by # first values are the major tick intervals, followed by a list # of allowed minors allowed_minorintervals_linear = { 1.: (0.1, 0.2, 0.5), 2.: (0.2, 0.5, 1.), 5.: (0.5, 1., 2.5), 2.5: (0.5,) } # just get the allowable majors allowed_intervals_linear = sorted(allowed_minorintervals_linear) # the allowed values we can increase by in log space # by default we increase by 10^3 # if the first value is chosen we can use the "special" log minor ticks allowed_intervals_log = (1., 3., 6., 9., 12., 15., 19.) # positions we're allowed to put minor intervals allowed_minorintervals_log = (1., 3., 6., 9., 12., 15., 19.) # how much we should allow axes to extend to a tick max_extend_factor = 0.15 def _calcTickValues( self, minval, maxval, delta ): """Compute the tick values, given minval, maxval and delta.""" startmult = int( math.ceil( minval / delta ) ) stopmult = int( math.floor( maxval / delta ) ) return N.arange(startmult, stopmult+1) * delta def _tickNums(self, minval, maxval, delta): """Calculate number of ticks between minval and maxval with delta.""" startmult = int( math.ceil( minval / delta ) ) stopmult = int( math.floor( maxval / delta ) ) return (stopmult-startmult)+1 def _calcNoTicks( self, interval, logdelta ): """Return the number of ticks with spacing interval*10^logdelta. Returns a tuple (noticks, minval, maxval). """ # store these for modification (if we extend bounds) minval = self.minval maxval = self.maxval # calculate tick spacing and maximum extension factor delta = interval * (10**logdelta) maxextend = (maxval - minval) * AxisTicks.max_extend_factor # should we try to extend to nearest interval*10^logdelta? if self.extendmin: # extend minval if possible if math.fabs( math.modf( minval / delta )[0] ) > 1e-8: d = minval - ( math.floor( minval / delta ) * delta ) if d <= maxextend: minval -= d if self.extendmax: # extend maxval if possible if math.fabs( math.modf( maxval / delta)[0] ) > 1e-8: d = ( (math.floor(maxval / delta)+1.) * delta) - maxval if d <= maxextend: maxval += d numticks = self._tickNums(minval, maxval, delta) return (numticks, minval, maxval) def _calcLinearMinorTickValues(self, minval, maxval, interval, logstep, allowedintervals): """Get the best values for minor ticks on a linear axis Algorithm tries to look for best match to nominorticks Pass routine major ticks from minval to maxval with steps of interval*(10**logstep) """ # iterate over allowed minor intervals best = -1 best_numticks = -1 best_delta = 1000000 mult = 10.**logstep # iterate over allowed minor intervals for minint in allowedintervals: numticks = self._tickNums(minval, maxval, minint*mult) d = abs( self.numminorticks - numticks ) # if this is a better match to the number of ticks # we want, choose this if ((d < best_delta ) or (d == best_delta and (self.prefermore and numticks > best_numticks) or (not self.prefermore and numticks < best_numticks)) ): best = minint best_delta = d best_numticks = numticks # use best value to return tick values return self._calcTickValues(minval, maxval, best*mult) def _calcLogMinorTickValues( self, minval, maxval ): """Calculate minor tick values with a log scale.""" # this is a scale going e.g. 1,2,3,...8,9,10,20,30...90,100,200... # round down to nearest power of 10 for each alpha = int( math.floor( N.log10(minval) ) ) beta = int( math.floor( N.log10(maxval) ) ) ticks = [] # iterate over range in log space for i in crange(alpha, beta+1): power = 10.**i # add ticks for values in correct range for j in crange(2, 10): v = power*j # blah log conversions mean we have to use 'fuzzy logic' if ( math.fabs(v - minval)/v < 1e-6 or v > minval ) and \ ( math.fabs(v - maxval)/v < 1e-6 or v < maxval ) : ticks.append(v) return N.array( ticks ) def _selectBestTickFromSelection(self, selection): """Choose best tick from selection given.""" # we now try to find the best matching value minabsdelta = 1e99 mindelta = 1e99 bestsel = () # find the best set of tick labels for s in selection: # difference between what we want and what we have delta = s[0] - self.numticks absdelta = abs(delta) # if it matches better choose this if absdelta < minabsdelta: minabsdelta = absdelta mindelta = delta bestsel = s # if we find two closest matching label sets, we # test whether we prefer too few to too many labels if absdelta == minabsdelta: if (self.prefermore and (delta > mindelta)) or \ (not self.prefermore and (delta < mindelta)): minabsdelta = absdelta mindelta = delta bestsel = s return bestsel def _getBestTickSelection(self, allowed_intervals): """Go through allowed tick intervals and find one best matching requested parameters.""" # work out range and log range therange = self.maxval - self.minval intlogrange = int( N.log10( therange ) ) # we step variable to move through log space to find best ticks logstep = intlogrange + 1 # we iterate down in log spacing, until we have more than twice # the number of ticks requested. # Maybe a better algorithm is required selection = [] # keep track of largest number of ticks calculated largestno = 0 while True: for interval in allowed_intervals: no, minval, maxval = self._calcNoTicks( interval, logstep ) selection.append( (no, interval, logstep, minval, maxval ) ) largestno = max(largestno, no) if largestno > self.numticks*2: break logstep -= 1 # necessary as we don't want 10**x on axis if |x|<1 # :-( if logstep < 0 and self.logaxis: break return selection def _tickSelector(self, allowed_intervals): """With minval and maxval find best tick positions.""" if self.forceinterval is None: # get selection of closely matching ticks selection = self._getBestTickSelection(allowed_intervals) # now we have the best, we work out the ticks and return bestsel = self._selectBestTickFromSelection(selection) dummy, interval, loginterval, minval, maxval = bestsel else: # forced specific interval requested interval, loginterval = self.forceinterval no, minval, maxval = self._calcNoTicks(interval, loginterval) # calculate the positions of the ticks from parameters tickdelta = interval * 10.**loginterval ticks = self._calcTickValues( minval, maxval, tickdelta ) return (minval, maxval, ticks, interval, loginterval) def getTicks(self): """Calculate and return the position of the major ticks. """ if self.logaxis: # which intervals we'll accept for major ticks intervals = AxisTicks.allowed_intervals_log # transform range into log space self.minval = N.log10( self.minval ) self.maxval = N.log10( self.maxval ) else: # which linear intervals we'll allow intervals = AxisTicks.allowed_intervals_linear # avoid breakage if range is zero if abs(self.minval - self.maxval) < 1e-99: self.maxval = self.minval + 1. minval, maxval, tickvals, interval, loginterval = self._tickSelector( intervals ) # work out the most appropriate minor tick intervals if not self.logaxis: # just plain minor ticks # try to achieve no of minors close to value requested minorticks = self._calcLinearMinorTickValues( minval, maxval, interval, loginterval, AxisTicks.allowed_minorintervals_linear[interval] ) else: # log axis if interval == 1.: # calculate minor ticks # here we use 'conventional' minor log tick spacing # e.g. 0.9, 1, 2, .., 8, 9, 10, 20, 30 ... minorticks = self._calcLogMinorTickValues( 10.**minval, 10.**maxval) # Here we test whether more log major tick values are needed... # often we might only have one tick value, and so we add 2, then 5 # this is a bit of a hack: better ideas please!! if len(tickvals) < 2: # get lower power of 10 low10 = int( math.floor(minval) ) # could use numpy here for i in (2., 5., 20., 50.): n = low10 + math.log10(i) if n >= minval and n <= maxval: tickvals = N.concatenate( (tickvals, N.array([n]) )) else: # if we increase by more than one power of 10 on the # axis, we can't do the above, so we do linear ticks # in log space # aim is to choose powers of 3 for majors and minors # to make it easy to read the axis. comments? minorticks = self._calcLinearMinorTickValues( minval, maxval, interval, loginterval, AxisTicks.allowed_minorintervals_log) minorticks = 10.**minorticks # transform normal ticks back to real space minval = 10.**minval maxval = 10.**maxval tickvals = 10.**tickvals self.interval = (interval, loginterval) self.minorticks = minorticks self.minval = minval self.maxval = maxval self.tickvals = tickvals self.autoformat = '%Vg' class DateTicks(AxisTicksBase): """For formatting dates. We want something that chooses appropriate intervals So we want to choose most apropriate interval depending on number of ticks requested """ # possible intervals for a time/date axis # tuples of ((y, m, d, h, m, s, msec), autoformat) intervals = ( ((200, 0, 0, 0, 0, 0, 0), '%VDY'), ((100, 0, 0, 0, 0, 0, 0), '%VDY'), ((50, 0, 0, 0, 0, 0, 0), '%VDY'), ((20, 0, 0, 0, 0, 0, 0), '%VDY'), ((10, 0, 0, 0, 0, 0, 0), '%VDY'), ((5, 0, 0, 0, 0, 0, 0), '%VDY'), ((2, 0, 0, 0, 0, 0, 0), '%VDY'), ((1, 0, 0, 0, 0, 0, 0), '%VDY'), ((0, 6, 0, 0, 0, 0, 0), '%VDY-%VDm'), ((0, 4, 0, 0, 0, 0, 0), '%VDY-%VDm'), ((0, 3, 0, 0, 0, 0, 0), '%VDY-%VDm'), ((0, 2, 0, 0, 0, 0, 0), '%VDY-%VDm'), ((0, 1, 0, 0, 0, 0, 0), '%VDY-%VDm'), ((0, 0, 28, 0, 0, 0, 0), '%VDY-%VDm-%VDd'), ((0, 0, 14, 0, 0, 0, 0), '%VDY-%VDm-%VDd'), ((0, 0, 7, 0, 0, 0, 0), '%VDY-%VDm-%VDd'), ((0, 0, 2, 0, 0, 0, 0), '%VDY-%VDm-%VDd'), ((0, 0, 1, 0, 0, 0, 0), '%VDY-%VDm-%VDd'), ((0, 0, 0, 12, 0, 0, 0), '%VDY-%VDm-%VDd\\\\%VDH:%VDM'), ((0, 0, 0, 6, 0, 0, 0), '%VDY-%VDm-%VDd\\\\%VDH:%VDM'), ((0, 0, 0, 4, 0, 0, 0), '%VDY-%VDm-%VDd\\\\%VDH:%VDM'), ((0, 0, 0, 3, 0, 0, 0), '%VDY-%VDm-%VDd\\\\%VDH:%VDM'), ((0, 0, 0, 2, 0, 0, 0), '%VDH:%VDM'), ((0, 0, 0, 1, 0, 0, 0), '%VDH:%VDM'), ((0, 0, 0, 0, 30, 0, 0), '%VDH:%VDM'), ((0, 0, 0, 0, 15, 0, 0), '%VDH:%VDM'), ((0, 0, 0, 0, 10, 0, 0), '%VDH:%VDM'), ((0, 0, 0, 0, 5, 0, 0), '%VDH:%VDM'), ((0, 0, 0, 0, 2, 0, 0), '%VDH:%VDM'), ((0, 0, 0, 0, 1, 0, 0), '%VDH:%VDM'), ((0, 0, 0, 0, 0, 30, 0), '%VDH:%VDM:%VDS'), ((0, 0, 0, 0, 0, 15, 0), '%VDH:%VDM:%VDS'), ((0, 0, 0, 0, 0, 10, 0), '%VDH:%VDM:%VDS'), ((0, 0, 0, 0, 0, 5, 0), '%VDH:%VDM:%VDS'), ((0, 0, 0, 0, 0, 2, 0), '%VDH:%VDM:%VDS'), ((0, 0, 0, 0, 0, 1, 0), '%VDH:%VDM:%VDS'), ((0, 0, 0, 0, 0, 0, 500000), '%VDH:%VDM:%VDVS'), ((0, 0, 0, 0, 0, 0, 200000), '%VDVS'), ((0, 0, 0, 0, 0, 0, 100000), '%VDVS'), ((0, 0, 0, 0, 0, 0, 50000), '%VDVS'), ((0, 0, 0, 0, 0, 0, 10000), '%VDVS'), ) intervals_sec = N.array([(ms*1e-6+s+mi*60+hr*60*60+dy*24*60*60+ mn*(365/12.)*24*60*60+ yr*365*24*60*60) for (yr, mn, dy, hr, mi, s, ms), fmt in intervals]) def bestTickFinder(self, minval, maxval, numticks, extendmin, extendmax, intervals, intervals_sec): """Try to find best choice of numticks ticks between minval and maxval intervals is an array similar to self.intervals intervals_sec is an array similar to self.intervals_sec Returns a tuple (minval, maxval, estimatedsize, ticks, textformat)""" delta = maxval - minval # iterate over different intervals and find one closest to what we want estimated = delta / intervals_sec tick1 = max(estimated.searchsorted(numticks)-1, 0) tick2 = min(tick1+1, len(estimated)-1) del1 = abs(estimated[tick1] - numticks) del2 = abs(estimated[tick2] - numticks) if del1 < del2: best = tick1 else: best = tick2 besttt, format = intervals[best] mindate = utils.floatToDateTime(minval) maxdate = utils.floatToDateTime(maxval) # round min and max to nearest minround = utils.tupleToDateTime(utils.roundDownToTimeTuple(mindate, besttt)) maxround = utils.tupleToDateTime(utils.roundDownToTimeTuple(maxdate, besttt)) if minround == mindate: mintick = minround else: # rounded down, so move on to next tick mintick = utils.addTimeTupleToDateTime(minround, besttt) maxtick = maxround # extend bounds if requested deltamin = utils.datetimeToFloat(mindate)-utils.datetimeToFloat(mintick) if extendmin and (deltamin != 0. and deltamin < delta*0.15): mindate = utils.addTimeTupleToDateTime(minround, [-x for x in besttt]) mintick = mindate deltamax = utils.datetimeToFloat(maxdate)-utils.datetimeToFloat(maxtick) if extendmax and (deltamax != 0. and deltamax < delta*0.15): maxdate = utils.addTimeTupleToDateTime(maxtick, besttt) maxtick = maxdate # make ticks ticks = [] dt = mintick while dt <= maxtick: ticks.append( utils.datetimeToFloat(dt)) dt = utils.addTimeTupleToDateTime(dt, besttt) return ( utils.datetimeToFloat(mindate), utils.datetimeToFloat(maxdate), intervals_sec[best], N.array(ticks), format ) def filterIntervals(self, estint): """Filter intervals and intervals_sec to be multiples of estint seconds.""" intervals = [] intervals_sec = [] for i, inter in enumerate(self.intervals_sec): ratio = estint / inter if abs(ratio-int(ratio)) < ratio*.01: intervals.append(self.intervals[i]) intervals_sec.append(inter) return intervals, N.array(intervals_sec) def getTicks(self): """Calculate and return the position of the major ticks. """ # find minor ticks mindate, maxdate, est, ticks, format = self.bestTickFinder( self.minval, self.maxval, self.numticks, self.extendmin, self.extendmax, self.intervals, self.intervals_sec) # try to make minor ticks divide evenly into major ticks intervals, intervals_sec = self.filterIntervals(est) # get minor ticks ig, ig, ig, minorticks, ig = self.bestTickFinder( mindate, maxdate, self.numminorticks, False, False, intervals, intervals_sec) self.interval = (intervals, intervals_sec) self.minval = mindate self.maxval = maxdate self.minorticks = minorticks self.tickvals = ticks self.autoformat = format veusz-1.21.1/veusz/widgets/plotters.py0000664000175000017500000002153512237406466016222 0ustar jssjss# plotters.py # plotting classes # Copyright (C) 2004 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### """A generic plotter widget which is inherited by function and point.""" from __future__ import division from .. import qtall as qt4 import numpy as N from .. import setting from . import widget def _(text, disambiguation=None, context='Plotters'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class GenericPlotter(widget.Widget): """Generic plotter.""" typename='genericplotter' isplotter = True def __init__(self, parent, name=None): """Initialise object, setting axes.""" widget.Widget.__init__(self, parent, name=name) @classmethod def allowedParentTypes(klass): from . import graph return (graph.Graph,) @classmethod def addSettings(klass, s): """Construct list of settings.""" widget.Widget.addSettings(s) s.add( setting.Str('key', '', descr = _('Description of the plotted data to appear in key'), usertext=_('Key text')) ) s.add( setting.Axis('xAxis', 'x', 'horizontal', descr = _('Name of X-axis to use'), usertext=_('X axis')) ) s.add( setting.Axis('yAxis', 'y', 'vertical', descr = _('Name of Y-axis to use'), usertext=_('Y axis')) ) def getAxesNames(self): """Returns names of axes used.""" s = self.settings return (s.xAxis, s.yAxis) def getNumberKeys(self): """Return number of key entries.""" if self.settings.key: return 1 else: return 0 def getKeyText(self, number): """Get key entry.""" return self.settings.key def drawKeySymbol(self, number, painter, x, y, width, height): """Draw the plot symbol and/or line at (x,y) in a box width*height. This is used to plot a key """ pass def clipAxesBounds(self, axes, bounds): """Returns clipping rectange for start and stop values of axis.""" # get range x1, x2 = axes[0].coordParr1, axes[0].coordParr2 if x1 > x2: x1, x2 = x2, x1 y1, y2 = axes[1].coordParr2, axes[1].coordParr1 if y1 > y2: y1, y2 = y2, y1 # actually clip the data cliprect = qt4.QRectF(qt4.QPointF(x1, y1), qt4.QPointF(x2, y2)) return cliprect def getAxisLabels(self, direction): """Get labels for datapoints and coordinates, or None if none. direction is 'horizontal' or 'vertical' return (labels, coordinates) """ return (None, None) def fetchAxes(self): """Returns the axes for this widget""" axes = self.parent.getAxes( (self.settings.xAxis, self.settings.yAxis) ) # fail if we don't have good axes if ( None in axes or axes[0].settings.direction != 'horizontal' or axes[1].settings.direction != 'vertical' ): return None return axes def lookupAxis(self, axisname): """Find widget associated with axisname.""" w = self.parent while w: for c in w.children: if c.name == axisname and c.isaxis: return c w = w.parent return None def affectsAxisRange(self): """Returns information on the following axes. format is ( ('x', 'sx'), ('y', 'sy') ) where key is the axis and value is a provided bound """ return () def requiresAxisRange(self): """Requires information about the axis given before providing information. Format (('sx', 'x'), ('sy', 'y')) """ return () def getRange(self, axis, depname, therange): """Update range variable for axis with dependency name given.""" pass def draw(self, parentposn, painthelper, outerbounds = None): """Draw for generic plotters.""" posn = self.computeBounds(parentposn, painthelper) # exit if hidden or function blank if self.settings.hide: return # get axes widgets axes = self.fetchAxes() if not axes: return # clip data within bounds of plotter cliprect = self.clipAxesBounds(axes, posn) painter = painthelper.painter(self, posn, clip=cliprect) with painter: self.dataDraw(painter, axes, posn, cliprect) return posn def dataDraw(self, painter, axes, posn, cliprect): """Actually plot the data.""" pass class FreePlotter(widget.Widget): """A plotter which can be plotted on the page or in a graph.""" def __init__(self, parent, name=None): """Initialise object, setting axes.""" widget.Widget.__init__(self, parent, name=name) @classmethod def allowedParentTypes(klass): from . import page, graph return (graph.Graph, page.Page) @classmethod def addSettings(klass, s): """Construct list of settings.""" widget.Widget.addSettings(s) s.add( setting.DatasetExtended( 'xPos', [0.5], descr=_('List of fractional X coordinates or dataset'), usertext=_('X positions'), formatting=False) ) s.add( setting.DatasetExtended( 'yPos', [0.5], descr=_('List of fractional Y coordinates or dataset'), usertext=_('Y positions'), formatting=False) ) s.add( setting.Choice('positioning', ['axes', 'relative'], 'relative', descr=_('Use axes or fractional ' 'position to place label'), usertext=_('Position mode'), formatting=False) ) s.add( setting.Axis('xAxis', 'x', 'horizontal', descr = _('Name of X-axis to use'), usertext=_('X axis')) ) s.add( setting.Axis('yAxis', 'y', 'vertical', descr = _('Name of Y-axis to use'), usertext=_('Y axis')) ) def _getPlotterCoords(self, posn, xsetting='xPos', ysetting='yPos'): """Calculate coordinates from relative or axis positioning. xsetting and ysetting are the settings to get data from """ s = self.settings xpos = s.get(xsetting).getFloatArray(self.document) ypos = s.get(ysetting).getFloatArray(self.document) if xpos is None or ypos is None: return None, None if s.positioning == 'axes': if hasattr(self.parent, 'getAxes'): axes = self.parent.getAxes( (s.xAxis, s.yAxis) ) else: return None, None if None in axes: return None, None xpos = axes[0].dataToPlotterCoords(posn, xpos) ypos = axes[1].dataToPlotterCoords(posn, ypos) else: xpos = posn[0] + (posn[2]-posn[0])*xpos ypos = posn[3] - (posn[3]-posn[1])*ypos return xpos, ypos def _getGraphCoords(self, posn, xplt, yplt): """Calculate graph coodinates given plot coordinates xplt, yplt.""" s = self.settings xplt = N.array(xplt) yplt = N.array(yplt) if s.positioning == 'axes': if hasattr(self.parent, 'getAxes'): axes = self.parent.getAxes( (s.xAxis, s.yAxis) ) else: return None, None if None in axes: return None, None xpos = axes[0].plotterToDataCoords(posn, xplt) ypos = axes[1].plotterToDataCoords(posn, yplt) else: xpos = (xplt - posn[0]) / (posn[2]-posn[0]) ypos = (yplt - posn[3]) / (posn[1]-posn[3]) return xpos, ypos veusz-1.21.1/veusz/widgets/contour.py0000644000175000017500000005444012327177747016045 0ustar jssjss# Copyright (C) 2005 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### """Contour plotting from 2d datasets. Contour plotting requires that the veusz_helpers package is installed, as a C routine (taken from matplotlib) is used to trace the contours. """ from __future__ import division, print_function import sys import math from ..compat import czip, crange from .. import qtall as qt4 import numpy as N from .. import setting from .. import document from .. import utils from . import plotters try: from ..helpers._nc_cntr import Cntr from ..helpers.qtloops import LineLabeller except ImportError: Cntr = None LineLabeller = object # allow class definition below def _(text, disambiguation=None, context='Contour'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) def finitePoly(poly): """Remove non-finite coordinates from numpy arrays of coordinates.""" out = [] for line in poly: finite = N.isfinite(line) validrows = N.logical_and(finite[:,0], finite[:,1]) out.append( line[validrows] ) return out class ContourLineLabeller(LineLabeller): def __init__(self, clip, rot, painter, font): LineLabeller.__init__(self, clip, rot) self.clippath = qt4.QPainterPath() self.clippath.addRect(clip) self.labels = [] self.painter = painter self.font = font def drawAt(self, idx, rect): """Called to draw the label with the index given.""" text = self.labels[idx] if not text: return angle = rect.angle*180/math.pi if angle < -90 or angle > 90: angle += 180 rend = utils.Renderer( self.painter, self.font, rect.cx, rect.cy, text, alignhorz=0, alignvert=0, angle=angle) rend.render() if rect.xw > 0: p = qt4.QPainterPath() p.addPolygon(rect.makePolygon()) self.clippath -= p class ContourFills(setting.Settings): """Settings for contour fills.""" def __init__(self, name, **args): setting.Settings.__init__(self, name, **args) self.add( setting.FillSet( 'fills', [], descr = _('Fill styles to plot between contours'), usertext=_('Fill styles'), formatting=True) ) self.add( setting.Bool('hide', False, descr = _('Hide fills'), usertext = _('Hide'), formatting = True) ) class ContourLines(setting.Settings): """Settings for contour lines.""" def __init__(self, name, **args): setting.Settings.__init__(self, name, **args) self.add( setting.LineSet( 'lines', [('solid', '1pt', 'black', False)], descr = _('Line styles to plot the contours ' 'using'), usertext=_('Line styles'), formatting=True) ) self.add( setting.Bool('hide', False, descr = _('Hide lines'), usertext = _('Hide'), formatting = True) ) class SubContourLines(setting.Settings): """Sub-dividing contour line settings.""" def __init__(self, name, **args): setting.Settings.__init__(self, name, **args) self.add( setting.LineSet( 'lines', [('dot1', '1pt', 'black', False)], descr = _('Line styles used for sub-contours'), usertext=_('Line styles'), formatting=True) ) self.add( setting.Int('numLevels', 5, minval=2, descr=_('Number of sub-levels to plot between ' 'each contour'), usertext='Levels') ) self.add( setting.Bool('hide', True, descr=_('Hide lines'), usertext=_('Hide'), formatting=True) ) class ContourLabel(setting.Text): """For tick labels on axes.""" def __init__(self, name, **args): setting.Text.__init__(self, name, **args) self.add( setting.Str( 'format', '%.3Vg', descr = _('Format of the tick labels'), usertext=_('Format')) ) self.add( setting.Float('scale', 1., descr=_('A scale factor to apply to the values ' 'of the tick labels'), usertext=_('Scale')) ) self.add( setting.Bool('rotate', True, descr=_('Rotate labels to follow lines'), usertext=_('Rotate')) ) self.get('hide').newDefault(True) class Contour(plotters.GenericPlotter): """A class which plots contours on a graph with a specified coordinate system.""" typename='contour' allowusercreation=True description=_('Plot a 2d dataset as contours') def __init__(self, parent, name=None): """Initialise plotter with axes.""" plotters.GenericPlotter.__init__(self, parent, name=name) if Cntr is None: print(('WARNING: Veusz cannot import contour module\n' 'Please run python setup.py build\n' 'Contour support is disabled'), file=sys.stderr) # keep track of settings so we recalculate when necessary self.lastdataset = None self.contsettings = None # cached traced contours self._cachedcontours = None self._cachedpolygons = None self._cachedsubcontours = None if type(self) == Contour: self.readDefaults() @classmethod def addSettings(klass, s): """Construct list of settings.""" plotters.GenericPlotter.addSettings(s) s.add( setting.Dataset('data', '', dimensions = 2, descr = _('Dataset to plot'), usertext=_('Dataset')), 0 ) s.add( setting.FloatOrAuto('min', 'Auto', descr = _('Minimum value of contour scale'), usertext=_('Min. value')), 1 ) s.add( setting.FloatOrAuto('max', 'Auto', descr = _('Maximum value of contour scale'), usertext=_('Max. value')), 2 ) s.add( setting.Int('numLevels', 5, minval = 1, descr = _('Number of contour levels to plot'), usertext=_('Number levels')), 3 ) s.add( setting.Choice('scaling', ['linear', 'sqrt', 'log', 'squared', 'manual'], 'linear', descr = _('Scaling between contour levels'), usertext=_('Scaling')), 4 ) s.add( setting.FloatList('manualLevels', [], descr = _('Levels to use for manual scaling'), usertext=_('Manual levels')), 5 ) s.add( setting.Bool('keyLevels', False, descr=_('Show levels in key'), usertext=_('Levels in key')), 6 ) s.add( setting.FloatList('levelsOut', [], descr = _('Levels used in the plot'), usertext=_('Output levels')), 7, readonly=True ) s.add( ContourLabel('ContourLabels', descr = _('Contour label settings'), usertext = _('Contour labels')), pixmap = 'settings_axisticklabels' ) s.add( ContourLines('Lines', descr=_('Contour lines'), usertext=_('Contour lines')), pixmap = 'settings_contourline' ) s.add( ContourFills('Fills', descr=_('Fill within contours'), usertext=_('Contour fills')), pixmap = 'settings_contourfill' ) s.add( SubContourLines('SubLines', descr=_('Sub-contour lines'), usertext=_('Sub-contour lines')), pixmap = 'settings_subcontourline' ) s.add( setting.SettingBackwardCompat('lines', 'Lines/lines', None) ) s.add( setting.SettingBackwardCompat('fills', 'Fills/fills', None) ) s.remove('key') @property def userdescription(self): """User friendly description.""" s = self.settings out = [] if s.data: out.append( s.data ) if s.scaling == 'manual': out.append('manual levels (%s)' % ( ', '.join([str(i) for i in s.manualLevels]))) else: out.append('%(numLevels)i %(scaling)s levels (%(min)s to %(max)s)' % s) return ', '.join(out) def calculateLevels(self): """Calculate contour levels from data and settings. Returns levels as 1d numpy """ # get dataset s = self.settings d = self.document minval, maxval = 0., 1. if s.data in d.data: # scan data data = d.data[s.data].data minval, maxval = N.nanmin(data), N.nanmax(data) if not N.isfinite(minval): minval = 0. if not N.isfinite(maxval): maxval = 1. # override if not auto if s.min != 'Auto': minval = s.min if s.max != 'Auto': maxval = s.max numlevels = s.numLevels scaling = s.scaling if numlevels == 1 and scaling != 'manual': # calculations below assume numlevels > 1 levels = N.array([minval,]) else: # trap out silly cases if minval == maxval: minval = 0. maxval = 1. # calculate levels for each scaling if scaling == 'linear': delta = (maxval - minval) / (numlevels-1) levels = minval + N.arange(numlevels)*delta elif scaling == 'sqrt': delta = N.sqrt(maxval - minval) / (numlevels-1) levels = minval + (N.arange(numlevels)*delta)**2 elif scaling == 'log': if minval == 0.: minval = 1. if minval == maxval: maxval = minval + 1 delta = N.log(maxval/minval) / (numlevels-1) levels = N.exp(N.arange(numlevels)*delta)*minval elif scaling == 'squared': delta = (maxval - minval)**2 / (numlevels-1) levels = minval + N.sqrt(N.arange(numlevels)*delta) else: # manual levels = N.array(s.manualLevels) # for the user later # we do this to convert array to list of floats s.levelsOut = [float(i) for i in levels] return minval, maxval, levels def calculateSubLevels(self, minval, maxval, levels): """Calculate sublevels between contours.""" s = self.settings num = s.SubLines.numLevels if s.SubLines.hide or len(s.SubLines.lines) == 0 or len(levels) <= 1: return N.array([]) # indices where contour levels should be placed numcont = (len(levels)-1) * num indices = N.arange(numcont) indices = indices[indices % num != 0] scaling = s.scaling if scaling == 'linear': delta = (maxval-minval) / numcont slev = indices*delta + minval elif scaling == 'log': delta = N.log( maxval/minval ) / numcont slev = N.exp(indices*delta) * minval elif scaling == 'sqrt': delta = N.sqrt( maxval-minval ) / numcont slev = minval + (indices*delta)**2 elif scaling == 'squared': delta = (maxval-minval)**2 / numcont slev = minval + N.sqrt(indices*delta) elif scaling == 'manual': drange = N.arange(1, num) out = [[]] for conmin, conmax in czip(levels[:-1], levels[1:]): delta = (conmax-conmin) / num out.append( conmin+drange*delta ) slev = N.hstack(out) return slev def affectsAxisRange(self): """Range information provided by widget.""" s = self.settings return ( (s.xAxis, 'sx'), (s.yAxis, 'sy') ) def getRange(self, axis, depname, axrange): """Automatically determine the ranges of variable on the axes.""" # this is copied from Image, probably should combine s = self.settings d = self.document # return if no data or if the dataset isn't two dimensional data = d.data.get(s.data, None) if data is None or data.dimensions != 2: return xr, yr = data.getDataRanges() if depname == 'sx': axrange[0] = min( axrange[0], xr[0] ) axrange[1] = max( axrange[1], xr[1] ) elif depname == 'sy': axrange[0] = min( axrange[0], yr[0] ) axrange[1] = max( axrange[1], yr[1] ) def getNumberKeys(self): """How many keys to show.""" self.checkContoursUpToDate() if self.settings.keyLevels: return len( self.settings.levelsOut ) else: return 0 def getKeyText(self, number): """Get key entry.""" s = self.settings if s.keyLevels: cl = s.get('ContourLabels') return utils.formatNumber( s.levelsOut[number] * cl.scale, cl.format, locale=self.document.locale ) else: return '' def drawKeySymbol(self, number, painter, x, y, width, height): """Draw key for contour level.""" painter.setPen( self.settings.Lines.get('lines').makePen(painter, number)) painter.drawLine(x, y+height/2, x+width, y+height/2) def checkContoursUpToDate(self): """Update contours if necessary. Returns True if okay to plot contours, False if error """ s = self.settings d = self.document # return if no data or if the dataset isn't two dimensional data = d.data.get(s.data, None) if data is None or data.dimensions != 2 or data.data.size == 0: self.contsettings = self.lastdataset = None s.levelsOut = [] return False contsettings = ( s.min, s.max, s.numLevels, s.scaling, s.SubLines.numLevels, len(s.Fills.fills) == 0 or s.Fills.hide, len(s.SubLines.lines) == 0 or s.SubLines.hide, tuple(s.manualLevels) ) if data is not self.lastdataset or contsettings != self.contsettings: self.updateContours() self.lastdataset = data self.contsettings = contsettings return True def dataDraw(self, painter, axes, posn, cliprect): """Draw the contours.""" # update contours if necessary if not self.checkContoursUpToDate(): return self.plotContourFills(painter, posn, axes, cliprect) self.plotContours(painter, posn, axes, cliprect) self.plotSubContours(painter, posn, axes, cliprect) def updateContours(self): """Update calculated contours.""" s = self.settings d = self.document minval, maxval, levels = self.calculateLevels() sublevels = self.calculateSubLevels(minval, maxval, levels) # find coordinates of image coordinate bounds data = d.data[s.data] rangex, rangey = data.getDataRanges() yw, xw = data.data.shape if xw == 0 or yw == 0: return xc, yc = data.getPixelCentres() xpts = N.reshape( N.tile(xc, yw), (yw, xw) ) ypts = N.tile(yc[:, N.newaxis], xw) # only keep finite data points mask = N.logical_not(N.isfinite(data.data)) # iterate over the levels and trace the contours self._cachedcontours = None self._cachedpolygons = None self._cachedsubcontours = None if Cntr is not None: c = Cntr(xpts, ypts, data.data, mask) # trace the contour levels if len(s.Lines.lines) != 0: self._cachedcontours = [] for level in levels: linelist = c.trace(level) self._cachedcontours.append( finitePoly(linelist) ) # trace the polygons between the contours if len(s.Fills.fills) != 0 and len(levels) > 1 and not s.Fills.hide: self._cachedpolygons = [] for level1, level2 in czip(levels[:-1], levels[1:]): linelist = c.trace(level1, level2) self._cachedpolygons.append( finitePoly(linelist) ) # trace sub-levels if len(sublevels) > 0: self._cachedsubcontours = [] for level in sublevels: linelist = c.trace(level) self._cachedsubcontours.append( finitePoly(linelist) ) def _plotContours(self, painter, posn, axes, linestyles, contours, showlabels, hidelines, clip): """Plot a set of contours. """ s = self.settings # no lines cached as no line styles if contours is None: return cl = s.get('ContourLabels') font = cl.makeQFont(painter) descent = qt4.QFontMetricsF(font).descent() # linelabeller does clipping and labelling of contours linelabeller = ContourLineLabeller(clip, cl.rotate, painter, font) levels = [] # iterate over each level, and list of lines for num, linelist in enumerate(contours): if showlabels: number = s.levelsOut[num] text = utils.formatNumber(number * cl.scale, cl.format, locale=self.document.locale) rend = utils.Renderer(painter, font, 0, 0, text, alignhorz=0, alignvert=0, angle=0) textdims = qt4.QSizeF(*rend.getDimensions()) textdims += qt4.QSizeF(descent*2, descent*2) else: textdims = qt4.QSizeF(0, 0) # iterate over each complete line of the contour for curve in linelist: # convert coordinates from graph to plotter xplt = axes[0].dataToPlotterCoords(posn, curve[:,0]) yplt = axes[1].dataToPlotterCoords(posn, curve[:,1]) pts = qt4.QPolygonF() utils.addNumpyToPolygonF(pts, xplt, yplt) linelabeller.addLine(pts, textdims) if showlabels: linelabeller.labels.append(text) else: linelabeller.labels.append(None) levels.append(num) painter.save() linelabeller.process() painter.setClipPath(linelabeller.clippath) for i in crange(linelabeller.getNumPolySets()): polyset = linelabeller.getPolySet(i) painter.setPen(linestyles.makePen(painter, levels[i])) for poly in polyset: painter.drawPolyline(poly) painter.restore() def plotContours(self, painter, posn, axes, clip): """Plot the traced contours on the painter.""" s = self.settings self._plotContours(painter, posn, axes, s.Lines.get('lines'), self._cachedcontours, not s.ContourLabels.hide, s.Lines.hide, clip) def plotSubContours(self, painter, posn, axes, clip): """Plot sub contours on painter.""" s = self.settings self._plotContours(painter, posn, axes, s.SubLines.get('lines'), self._cachedsubcontours, False, s.SubLines.hide, clip) def plotContourFills(self, painter, posn, axes, clip): """Plot the traced contours on the painter.""" s = self.settings # don't draw if there are no cached polygons if self._cachedpolygons is None or s.Fills.hide: return # iterate over each level, and list of lines for num, polylist in enumerate(self._cachedpolygons): # iterate over each complete line of the contour path = qt4.QPainterPath() for poly in polylist: # convert coordinates from graph to plotter xplt = axes[0].dataToPlotterCoords(posn, poly[:,0]) yplt = axes[1].dataToPlotterCoords(posn, poly[:,1]) pts = qt4.QPolygonF() utils.addNumpyToPolygonF(pts, xplt, yplt) clippedpoly = qt4.QPolygonF() utils.polygonClip(pts, clip, clippedpoly) path.addPolygon(clippedpoly) # fill polygons brush = s.Fills.get('fills').returnBrushExtended(num) utils.brushExtFillPath(painter, brush, path) # allow the factory to instantiate a contour document.thefactory.register( Contour ) veusz-1.21.1/veusz/widgets/shape.py0000664000175000017500000003340412237406466015444 0ustar jssjss# Copyright (C) 2008 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### """For plotting shapes.""" from __future__ import division, print_function import itertools import os from ..compat import czip, cbytes from .. import qtall as qt4 from .. import setting from .. import document from .. import utils from . import widget from . import controlgraph from . import plotters def _(text, disambiguation=None, context='Shape'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class Shape(plotters.FreePlotter): """A shape on a page/graph.""" def __init__(self, parent, name=None): plotters.FreePlotter.__init__(self, parent, name=name) @classmethod def addSettings(klass, s): """Construct list of settings.""" plotters.FreePlotter.addSettings(s) s.add( setting.ShapeFill('Fill', descr = _('Shape fill'), usertext=_('Fill')), pixmap = 'settings_bgfill' ) s.add( setting.Line('Border', descr = _('Shape border'), usertext=_('Border')), pixmap = 'settings_border' ) s.add( setting.Bool('clip', False, descr=_('Clip shape to its container'), usertext=_('Clip'), formatting=True) ) class BoxShape(Shape): """For drawing box-like shapes.""" def __init__(self, parent, name=None): Shape.__init__(self, parent, name=name) @classmethod def addSettings(klass, s): """Construct list of settings.""" Shape.addSettings(s) s.add( setting.DatasetExtended( 'width', [0.1], descr=_('List of fractional widths, dataset or expression'), usertext=_('Widths'), formatting=False), 3 ) s.add( setting.DatasetExtended( 'height', [0.1], descr=_('List of fractional heights, dataset or expression'), usertext=_('Heights'), formatting=False), 4 ) s.add( setting.DatasetExtended( 'rotate', [0.], descr=_('Rotation angles of shape, dataset or expression'), usertext=_('Rotate'), formatting=False), 5 ) def drawShape(self, painter, rect): pass def draw(self, posn, phelper, outerbounds = None): """Plot the key on a plotter.""" s = self.settings d = self.document if s.hide: return # get positions of shapes width = s.get('width').getFloatArray(d) height = s.get('height').getFloatArray(d) rotate = s.get('rotate').getFloatArray(d) if width is None or height is None or rotate is None: return # translate coordinates from axes or relative values xpos, ypos = self._getPlotterCoords(posn) if xpos is None or ypos is None: # we can't calculate coordinates return # if a dataset is used, we can't use control items isnotdataset = ( not s.get('xPos').isDataset(d) and not s.get('yPos').isDataset(d) and not s.get('width').isDataset(d) and not s.get('height').isDataset(d) and not s.get('rotate').isDataset(d) ) controlgraphitems = [] clip = None if s.clip: clip = qt4.QRectF( qt4.QPointF(posn[0], posn[1]), qt4.QPointF(posn[2], posn[3]) ) painter = phelper.painter(self, posn, clip=clip) with painter: # drawing settings for shape if not s.Border.hide: painter.setPen( s.get('Border').makeQPen(painter) ) else: painter.setPen( qt4.QPen(qt4.Qt.NoPen) ) # iterate over positions index = 0 dx, dy = posn[2]-posn[0], posn[3]-posn[1] for x, y, w, h, r in czip(xpos, ypos, itertools.cycle(width), itertools.cycle(height), itertools.cycle(rotate)): wp, hp = dx*w, dy*h painter.save() painter.translate(x, y) if r != 0: painter.rotate(r) self.drawShape(painter, qt4.QRectF(-wp*0.5, -hp*0.5, wp, hp)) painter.restore() if isnotdataset: cgi = controlgraph.ControlResizableBox( self, [x, y], [wp, hp], r, allowrotate=True) cgi.index = index cgi.widgetposn = posn index += 1 controlgraphitems.append(cgi) phelper.setControlGraph(self, controlgraphitems) def updateControlItem(self, cgi): """If control item is moved or resized, this is called.""" s = self.settings # calculate new position coordinate for item xpos, ypos = self._getGraphCoords(cgi.widgetposn, cgi.posn[0], cgi.posn[1]) if xpos is None or ypos is None: return xw = abs(cgi.dims[0] / (cgi.widgetposn[2]-cgi.widgetposn[0])) yw = abs(cgi.dims[1] / (cgi.widgetposn[1]-cgi.widgetposn[3])) # actually do the adjustment on the document xp, yp = list(s.xPos), list(s.yPos) w, h, r = list(s.width), list(s.height), list(s.rotate) xp[cgi.index] = xpos yp[cgi.index] = ypos w[min(cgi.index, len(w)-1)] = xw h[min(cgi.index, len(h)-1)] = yw r[min(cgi.index, len(r)-1)] = cgi.angle operations = ( document.OperationSettingSet(s.get('xPos'), xp), document.OperationSettingSet(s.get('yPos'), yp), document.OperationSettingSet(s.get('width'), w), document.OperationSettingSet(s.get('height'), h), document.OperationSettingSet(s.get('rotate'), r) ) self.document.applyOperation( document.OperationMultiple(operations, descr=_('adjust shape')) ) class Rectangle(BoxShape): """Draw a rectangle, or rounded rectangle.""" typename = 'rect' description = _('Rectangle') allowusercreation = True def __init__(self, parent, name=None): BoxShape.__init__(self, parent, name=name) if type(self) == Rectangle: self.readDefaults() @classmethod def addSettings(klass, s): """Construct list of settings.""" BoxShape.addSettings(s) s.add( setting.Int('rounding', 0, minval=0, maxval=100, descr=_('Round corners with this percentage'), usertext=_('Rounding corners'), formatting=True) ) def drawShape(self, painter, rect): s = self.settings path = qt4.QPainterPath() if s.rounding == 0: path.addRect(rect) else: path.addRoundedRect(rect, s.rounding, s.rounding) utils.brushExtFillPath(painter, s.Fill, path, stroke=painter.pen()) class Ellipse(BoxShape): """Draw an ellipse.""" typename = 'ellipse' description = _('Ellipse') allowusercreation = True def __init__(self, parent, name=None): BoxShape.__init__(self, parent, name=name) if type(self) == Ellipse: self.readDefaults() def drawShape(self, painter, rect): s = self.settings path = qt4.QPainterPath() path.addEllipse(rect) utils.brushExtFillPath(painter, s.Fill, path, stroke=painter.pen()) class ImageFile(BoxShape): """Draw an image.""" typename = 'imagefile' description = _('Image file') allowusercreation = True def __init__(self, parent, name=None): BoxShape.__init__(self, parent, name=name) if type(self) == ImageFile: self.readDefaults() self.cacheimage = None self.cachefilename = None self.cachestat = None self.cacheembeddata = None self.addAction( widget.Action('embed', self.actionEmbed, descr = _('Embed image in Veusz document ' 'to remove dependency on external file'), usertext = _('Embed image')) ) @classmethod def addSettings(klass, s): """Construct list of settings.""" BoxShape.addSettings(s) s.add( setting.ImageFilename('filename', '', descr=_('Image filename'), usertext=_('Filename'), formatting=False), posn=0 ) s.add( setting.Str('embeddedImageData', '', descr=_('Embedded base 64-encoded image data, ' 'used if filename set to {embedded}'), usertext=_('Embedded data'), hidden=True) ) s.add( setting.Bool('aspect', True, descr=_('Preserve aspect ratio'), usertext=_('Preserve aspect'), formatting=True), posn=0 ) s.Border.get('hide').newDefault(True) def actionEmbed(self): """Embed external image into veusz document.""" s = self.settings if s.filename == '{embedded}': print("Data already embedded") return # get data from external file try: f = open(s.filename, 'rb') data = f.read() f.close() except EnvironmentError: print("Could not find file. Not embedding.") return # convert to base 64 to make it nicer in the saved file encoded = cbytes(qt4.QByteArray(data).toBase64()).decode('ascii') # now put embedded data in hidden setting ops = [ document.OperationSettingSet(s.get('filename'), '{embedded}'), document.OperationSettingSet(s.get('embeddedImageData'), encoded) ] self.document.applyOperation( document.OperationMultiple(ops, descr=_('embed image')) ) def updateCachedImage(self): """Update cache.""" s = self.settings self.cachestat = os.stat(s.filename) self.cacheimage = qt4.QImage(s.filename) self.cachefilename = s.filename def updateCachedEmbedded(self): """Update cached image from embedded data.""" s = self.settings self.cacheimage = qt4.QImage() # convert the embedded data from base64 and load into the image decoded = qt4.QByteArray.fromBase64(s.embeddedImageData) self.cacheimage.loadFromData(decoded) # we cache the data we have decoded self.cacheembeddata = s.embeddedImageData def drawShape(self, painter, rect): """Draw image.""" s = self.settings # draw border and fill painter.drawRect(rect) # check to see whether image needs reloading image = None if s.filename != '' and os.path.isfile(s.filename): if (self.cachefilename != s.filename or os.stat(s.filename) != self.cachestat): # update the image cache self.updateCachedImage() # clear any embedded image data self.settings.get('embeddedImageData').set('') image = self.cacheimage # or needs recreating from embedded data if s.filename == '{embedded}': if s.embeddedImageData is not self.cacheembeddata: self.updateCachedEmbedded() image = self.cacheimage # if no image, then use default image if ( not image or image.isNull() or image.width() == 0 or image.height() == 0 ): # load replacement image fname = os.path.join(utils.imagedir, 'button_imagefile.svg') r = qt4.QSvgRenderer(fname) r.render(painter, rect) else: # image rectangle irect = qt4.QRectF(image.rect()) # preserve aspect ratio if s.aspect: xr = rect.width() / irect.width() yr = rect.height() / irect.height() if xr > yr: rect = qt4.QRectF( rect.left()+(rect.width()-irect.width()*yr)*0.5, rect.top(), irect.width()*yr, rect.height()) else: rect = qt4.QRectF( rect.left(), rect.top()+(rect.height()-irect.height()*xr)*0.5, rect.width(), irect.height()*xr) # finally draw image painter.drawImage(rect, image, irect) document.thefactory.register( Ellipse ) document.thefactory.register( Rectangle ) document.thefactory.register( ImageFile ) veusz-1.21.1/veusz/widgets/bar.py0000664000175000017500000005211512241672475015110 0ustar jssjss# Copyright (C) 2009 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### """For plotting bar graphs.""" from __future__ import division import numpy as N from ..compat import crange, czip from .. import qtall as qt4 from .. import document from .. import setting from .. import utils from .plotters import GenericPlotter def _(text, disambiguation=None, context='BarPlotter'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class BarFill(setting.Settings): '''Filling of bars.''' def __init__(self, name, **args): setting.Settings.__init__(self, name, **args) self.add( setting.FillSet('fills', [('solid', 'grey', False)], descr = _('Fill styles for dataset bars'), usertext=_('Fill styles')) ) class BarLine(setting.Settings): '''Edges of bars.''' def __init__(self, name, **args): setting.Settings.__init__(self, name, **args) self.add( setting.LineSet('lines', [('solid', '0.5pt', 'black', False)], descr = _('Line styles for dataset bars'), usertext=_('Line styles')) ) def extend1DArray(array, length, missing=0.): """Return array with length given (original if appropriate. Values are extended with value given.""" if len(array) == length: return array retn = N.resize(array, length) retn[len(array):] = missing return retn class BarPlotter(GenericPlotter): """Plot bar charts.""" typename='bar' allowusercreation=True description=_('Plot bar charts') def __init__(self, parent, name=None): """Initialise bar chart.""" GenericPlotter.__init__(self, parent, name=name) if type(self) == BarPlotter: self.readDefaults() @classmethod def addSettings(klass, s): """Construct list of settings.""" GenericPlotter.addSettings(s) # get rid of default key setting s.remove('key') s.add( setting.Strings('keys', ('',), descr=_('Key text for each dataset'), usertext=_('Key text')), 0) s.add( setting.DatasetOrStr('labels', '', descr=_('Dataset or string to label bars'), usertext=_('Labels')), 5 ) s.add( setting.Choice('mode', ('grouped', 'stacked', 'stacked-area'), 'grouped', descr=_('Show datasets grouped ' 'together or as a single bar'), usertext=_('Mode')), 0) s.add( setting.Choice('direction', ('horizontal', 'vertical'), 'vertical', descr = _('Horizontal or vertical bar chart'), usertext=_('Direction')), 0 ) s.add( setting.DatasetExtended('posn', '', descr = _('Position of bars, dataset ' ' or expression (optional)'), usertext=_('Positions')), 0 ) s.add( setting.Datasets('lengths', ('y',), descr = _('Datasets containing lengths of bars'), usertext=_('Lengths')), 0 ) s.add( setting.Float('barfill', 0.75, minval = 0., maxval = 1., descr = _('Filling fraction of bars' ' (between 0 and 1)'), usertext=_('Bar fill'), formatting=True) ) s.add( setting.Float('groupfill', 0.9, minval = 0., maxval = 1., descr = _('Filling fraction of groups of bars' ' (between 0 and 1)'), usertext=_('Group fill'), formatting=True) ) s.add( setting.Choice('errorstyle', ('none', 'bar', 'barends'), 'bar', descr=_('Error bar style to show'), usertext=_('Error style'), formatting=True) ) s.add(BarFill('BarFill', descr=_('Bar fill'), usertext=_('Fill')), pixmap = 'settings_bgfill') s.add(BarLine('BarLine', descr=_('Bar line'), usertext=_('Line')), pixmap = 'settings_border') s.add( setting.ErrorBarLine('ErrorBarLine', descr = _('Error bar line settings'), usertext = _('Error bar line')), pixmap = 'settings_ploterrorline' ) @property def userdescription(self): """User-friendly description.""" s = self.settings return _("lengths='%s', position='%s'") % (', '.join(s.lengths), s.posn) def affectsAxisRange(self): """This widget provides range information about these axes.""" s = self.settings return ( (s.xAxis, 'sx'), (s.yAxis, 'sy') ) def getAxisLabels(self, direction): """Get labels for bar for appropriate axis.""" s = self.settings if s.direction != direction: # if horizontal bars, want labels on vertical axis and vice versa doc = self.document labels = s.get('labels').getData(doc, checknull=True) positions = s.get('posn').getData(doc) if positions is None: lengths = s.get('lengths').getData(doc) if not lengths: return (None, None) p = N.arange( max([len(d.data) for d in lengths]) )+1. else: p = positions.data return (labels, p) else: return (None, None) def singleBarDataRange(self, datasets): """For single bars where multiple datasets are added, compute maximum range.""" minv, maxv = 0., 0. for data in czip(*[ds.data for ds in datasets]): totpos = sum( [d for d in data if d > 0] ) totneg = sum( [d for d in data if d < 0] ) minv = min(minv, totneg) maxv = max(maxv, totpos) return minv, maxv def getRange(self, axis, depname, axrange): """Update axis range from data.""" s = self.settings if ((s.direction == 'horizontal' and depname == 'sx') or (s.direction == 'vertical' and depname == 'sy')): # update from lengths data = s.get('lengths').getData(self.document) if s.mode == 'grouped': # update range from individual datasets for d in data: drange = d.getRange() if drange is not None: axrange[0] = min(axrange[0], drange[0]) axrange[1] = max(axrange[1], drange[1]) else: # update range from sum of datasets minv, maxv = self.singleBarDataRange(data) axrange[0] = min(axrange[0], minv) axrange[1] = max(axrange[1], maxv) else: if s.posn: # use given positions data = s.get('posn').getData(self.document) if data: drange = data.getRange() if drange is not None: axrange[0] = min(axrange[0], drange[0]) axrange[1] = max(axrange[1], drange[1]) else: # count bars data = s.get('lengths').getData(self.document) if data: maxlen = max([len(d) for d in data]) axrange[0] = min(1-0.5, axrange[0]) axrange[1] = max(maxlen+0.5, axrange[1]) def findBarPositions(self, lengths, positions, axes, posn): """Work out centres of bar / bar groups and maximum width.""" ishorz = self.settings.direction == 'horizontal' if positions is None: p = N.arange( max([len(d.data) for d in lengths]) )+1. else: p = positions.data # work out positions of bars # get vertical axis if horz, and vice-versa axis = axes[ishorz] posns = axis.dataToPlotterCoords(posn, p) if len(posns) <= 1: if ishorz: maxwidth = posn[2]-posn[0] else: maxwidth = posn[3]-posn[1] else: maxwidth = N.nanmin(N.abs(posns[1:]-posns[:-1])) return posns, maxwidth def calculateErrorBars(self, dataset, vals): """Get values for error bars.""" minval = None maxval = None if 'serr' in dataset: s = N.nan_to_num(dataset['serr']) minval = vals - s maxval = vals + s else: if 'nerr' in dataset: minval = vals + N.nan_to_num(dataset['nerr']) if 'perr' in dataset: maxval = vals + N.nan_to_num(dataset['perr']) return minval, maxval def drawErrorBars(self, painter, posns, barwidth, yvals, dataset, axes, widgetposn): """Draw (optional) error bars on bars.""" s = self.settings if s.errorstyle == 'none': return minval, maxval = self.calculateErrorBars(dataset, yvals) if minval is None and maxval is None: return # handle one sided errors if minval is None: minval = yvals if maxval is None: maxval = yvals # convert errors to coordinates ishorz = s.direction == 'horizontal' mincoord = axes[not ishorz].dataToPlotterCoords(widgetposn, minval) mincoord = N.clip(mincoord, -32767, 32767) maxcoord = axes[not ishorz].dataToPlotterCoords(widgetposn, maxval) maxcoord = N.clip(maxcoord, -32767, 32767) # draw error bars painter.setPen( self.settings.ErrorBarLine.makeQPenWHide(painter) ) w = barwidth*0.25 if ishorz: utils.plotLinesToPainter(painter, mincoord, posns, maxcoord, posns) if s.errorstyle == 'barends': utils.plotLinesToPainter(painter, mincoord, posns-w, mincoord, posns+w) utils.plotLinesToPainter(painter, maxcoord, posns-w, maxcoord, posns+w) else: utils.plotLinesToPainter(painter, posns, mincoord, posns, maxcoord) if s.errorstyle == 'barends': utils.plotLinesToPainter(painter, posns-w, mincoord, posns+w, mincoord) utils.plotLinesToPainter(painter, posns-w, maxcoord, posns+w, maxcoord) def plotBars(self, painter, s, dsnum, clip, corners): """Plot a set of boxes.""" # get style brush = s.BarFill.get('fills').returnBrushExtended(dsnum) pen = s.BarLine.get('lines').makePen(painter, dsnum) lw = pen.widthF() * 2 # make clip box bigger to avoid lines showing extclip = qt4.QRectF(qt4.QPointF(clip.left()-lw, clip.top()-lw), qt4.QPointF(clip.right()+lw, clip.bottom()+lw)) # plot bars path = qt4.QPainterPath() utils.addNumpyPolygonToPath( path, extclip, corners[0], corners[1], corners[2], corners[1], corners[2], corners[3], corners[0], corners[3]) utils.brushExtFillPath(painter, brush, path, stroke=pen) def barDrawGroup(self, painter, posns, maxwidth, dsvals, axes, widgetposn, clip): """Draw groups of bars.""" s = self.settings # calculate bar and group widths numgroups = len(dsvals) groupwidth = maxwidth usablewidth = groupwidth * s.groupfill bardelta = usablewidth / numgroups barwidth = bardelta * s.barfill ishorz = s.direction == 'horizontal' # bar extends from these coordinates zeropt = axes[not ishorz].dataToPlotterCoords(widgetposn, N.array([0.])) for dsnum, dataset in enumerate(dsvals): # convert bar length to plotter coords lengthcoord = axes[not ishorz].dataToPlotterCoords( widgetposn, dataset['data']) # these are the coordinates perpendicular to the bar posns1 = posns + (-usablewidth*0.5 + bardelta*dsnum + (bardelta-barwidth)*0.5) posns2 = posns1 + barwidth if ishorz: p = (zeropt + N.zeros(posns1.shape), posns1, lengthcoord, posns2) else: p = (posns1, zeropt + N.zeros(posns2.shape), posns2, lengthcoord) self.plotBars(painter, s, dsnum, clip, p) # draw error bars self.drawErrorBars(painter, posns2-barwidth*0.5, barwidth, dataset['data'], dataset, axes, widgetposn) def calcStackedPoints(self, dsvals, axis, widgetposn): """Calculate stacked dataset coordinates for plotting.""" # keep track of last most negative or most positive values in bars poslen = len(dsvals[0]['data']) lastneg = N.zeros(poslen) lastpos = N.zeros(poslen) # returned stacked values and coordinates stackedvals = [] stackedcoords = [] for dsnum, data in enumerate(dsvals): # add on value to last value in correct direction data = data['data'] new = N.where(data < 0., lastneg+data, lastpos+data) # work out maximum extents for next time lastneg = N.min( N.vstack((lastneg, new)), axis=0 ) lastpos = N.max( N.vstack((lastpos, new)), axis=0 ) # convert values to plotter coordinates newplt = axis.dataToPlotterCoords(widgetposn, new) stackedvals.append(new) stackedcoords.append(newplt) return stackedvals, stackedcoords def barDrawStacked(self, painter, posns, maxwidth, dsvals, axes, widgetposn, clip): """Draw each dataset in a single bar.""" s = self.settings # get positions of groups of bars barwidth = maxwidth * s.barfill # get axis which values are plotted along ishorz = s.direction == 'horizontal' vaxis = axes[not ishorz] # compute stacked coordinates stackedvals, stackedcoords = self.calcStackedPoints( dsvals, vaxis, widgetposn) # coordinates of origin zerocoords = vaxis.dataToPlotterCoords(widgetposn, N.zeros(posns.shape)) # positions of bar perpendicular to bar direction posns1 = posns - barwidth*0.5 posns2 = posns1 + barwidth # draw bars (reverse order, so edges are plotted correctly) for dsnum, coords in czip( crange(len(stackedcoords)-1, -1, -1), stackedcoords[::-1]): # we iterate over each of these coordinates if ishorz: p = (zerocoords, posns1, coords, posns2) else: p = (posns1, zerocoords, posns2, coords) self.plotBars(painter, s, dsnum, clip, p) # draw error bars for barval, dsval in czip(stackedvals, dsvals): self.drawErrorBars(painter, posns, barwidth, barval, dsval, axes, widgetposn) def areaDrawStacked(self, painter, posns, maxwidth, dsvals, axes, widgetposn, clip): """Draw a stacked area plot""" s = self.settings # get axis which values are plotted along ishorz = s.direction == 'horizontal' vaxis = axes[not ishorz] # compute stacked coordinates stackedvals, stackedcoords = self.calcStackedPoints( dsvals, vaxis, widgetposn) # coordinates of origin zerocoords = vaxis.dataToPlotterCoords(widgetposn, N.zeros(posns.shape)) # bail out if problem if len(zerocoords) == 0 or len(posns) == 0: return # draw areas (reverse order, so edges are plotted correctly) for dsnum, coords in czip( crange(len(stackedcoords)-1, -1, -1), stackedcoords[::-1]): # add points at end to make polygon p1 = N.hstack( [ [zerocoords[0]], coords, [zerocoords[-1]] ] ) p2 = N.hstack( [ [posns[0]], posns, [posns[-1]] ] ) # construct polygon on path, clipped poly = qt4.QPolygonF() if ishorz: utils.addNumpyToPolygonF(poly, p1, p2) else: utils.addNumpyToPolygonF(poly, p2, p1) clippoly = qt4.QPolygonF() utils.polygonClip(poly, clip, clippoly) path = qt4.QPainterPath() path.addPolygon(clippoly) path.closeSubpath() # actually draw polygon brush = s.BarFill.get('fills').returnBrushExtended(dsnum) utils.brushExtFillPath(painter, brush, path) # now draw lines poly = qt4.QPolygonF() if ishorz: utils.addNumpyToPolygonF(poly, coords, posns) else: utils.addNumpyToPolygonF(poly, posns, coords) pen = s.BarLine.get('lines').makePen(painter, dsnum) painter.setPen(pen) utils.plotClippedPolyline(painter, clip, poly) # draw error bars barwidth = maxwidth * s.barfill for barval, dsval in czip(stackedvals, dsvals): self.drawErrorBars(painter, posns, barwidth, barval, dsval, axes, widgetposn) def getNumberKeys(self): """Return maximum number of keys.""" lengths = self.settings.get('lengths').getData(self.document) if not lengths: return 0 return min( len([k for k in self.settings.keys if k]), len(lengths) ) def getKeyText(self, number): """Get key entry.""" return [k for k in self.settings.keys if k][number] def drawKeySymbol(self, number, painter, x, y, width, height): """Draw a fill rectangle for key entry.""" self.plotBars(painter, self.settings, number, qt4.QRectF(0,0,32767,32767), ([x], [y+height*0.1], [x+width], [y+height*0.8])) def dataDraw(self, painter, axes, widgetposn, clip): """Plot the data on a plotter.""" s = self.settings # get data doc = self.document positions = s.get('posn').getData(doc) lengths = s.get('lengths').getData(doc) if not lengths: return # where the bars are to be placed horizontally barposns, maxwidth = self.findBarPositions(lengths, positions, axes, widgetposn) # only use finite positions origposnlen = len(barposns) validposn = N.isfinite(barposns) barposns = barposns[validposn] # this is a bit rubbish - we take the datasets and # make sure they have the same lengths as posns and remove NaNs # Datasets are stored as dicts dsvals = [] for dataset in lengths: vals = {} for key in ('data', 'serr', 'nerr', 'perr'): v = getattr(dataset, key) if v is not None: vals[key] = extend1DArray(N.nan_to_num(v), origposnlen)[validposn] dsvals.append(vals) # actually do the drawing fn = {'stacked': self.barDrawStacked, 'stacked-area': self.areaDrawStacked, 'grouped': self.barDrawGroup}[s.mode] fn(painter, barposns, maxwidth, dsvals, axes, widgetposn, clip) # allow the factory to instantiate a bar plotter document.thefactory.register( BarPlotter ) veusz-1.21.1/veusz/widgets/nonorthpoint.py0000644000175000017500000002512212327177747017110 0ustar jssjss# Copyright (C) 2010 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """Non orthogonal point plotting.""" from __future__ import division import numpy as N from ..compat import czip from .. import qtall as qt4 from .. import document from .. import setting from .. import utils from . import pickable from .nonorthgraph import NonOrthGraph, FillBrush from .widget import Widget from .point import MarkerFillBrush def _(text, disambiguation=None, context='NonOrthPoint'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class NonOrthPoint(Widget): '''Widget for plotting points in a non-orthogonal plot.''' typename = 'nonorthpoint' allowusercreation = True description = _('Plot points on a graph with non-orthogonal axes') def __init__(self, parent, name=None): """Initialise plotter.""" Widget.__init__(self, parent, name=name) if type(self) == NonOrthPoint: self.readDefaults() @classmethod def addSettings(klass, s): '''Settings for widget.''' Widget.addSettings(s) s.add( setting.DatasetExtended( 'data1', 'x', descr=_('Dataset containing 1st dataset, list of values ' 'or expression'), usertext=_('Dataset 1')) ) s.add( setting.DatasetExtended( 'data2', 'y', descr=_('Dataset containing 2nd dataset, list of values ' 'or expression'), usertext=_('Dataset 2')) ) s.add( setting.DatasetOrStr( 'labels', '', descr=_('Dataset or string to label points'), usertext=_('Labels')) ) s.add( setting.DatasetExtended( 'scalePoints', '', descr = _('Scale size of plotted markers by this dataset, ' ' list of values or expression'), usertext=_('Scale markers')) ) s.add( setting.MarkerColor('Color') ) s.add( setting.Color('color', 'black', descr = _('Master color'), usertext = _('Color'), formatting=True), 0 ) s.add( setting.DistancePt('markerSize', '3pt', descr = _('Size of marker to plot'), usertext=_('Marker size'), formatting=True), 0 ) s.add( setting.Marker('marker', 'circle', descr = _('Type of marker to plot'), usertext=_('Marker'), formatting=True), 0 ) s.add( setting.Line('PlotLine', descr = _('Plot line settings'), usertext = _('Plot line')), pixmap = 'settings_plotline' ) s.PlotLine.get('color').newDefault( setting.Reference('../color') ) s.add( setting.MarkerLine('MarkerLine', descr = _('Line around the marker settings'), usertext = _('Marker border')), pixmap = 'settings_plotmarkerline' ) s.add( MarkerFillBrush('MarkerFill', descr = _('Marker fill settings'), usertext = _('Marker fill')), pixmap = 'settings_plotmarkerfill' ) s.add( FillBrush('Fill1', descr = _('Fill settings (1)'), usertext = _('Area fill 1')), pixmap = 'settings_plotfillbelow' ) s.add( FillBrush('Fill2', descr = _('Fill settings (2)'), usertext = _('Area fill 2')), pixmap = 'settings_plotfillbelow' ) s.add( setting.PointLabel('Label', descr = _('Label settings'), usertext=_('Label')), pixmap = 'settings_axislabel' ) @classmethod def allowedParentTypes(klass): return (NonOrthGraph,) @property def userdescription(self): return _("data1='%s', data2='%s'") % ( self.settings.data1, self.settings.data2) def updateDataRanges(self, inrange): '''Extend inrange to range of data.''' d1 = self.settings.get('data1').getData(self.document) if d1: inrange[0] = min( N.nanmin(d1.data), inrange[0] ) inrange[1] = max( N.nanmax(d1.data), inrange[1] ) d2 = self.settings.get('data2').getData(self.document) if d2: inrange[2] = min( N.nanmin(d2.data), inrange[2] ) inrange[3] = max( N.nanmax(d2.data), inrange[3] ) def pickPoint(self, x0, y0, bounds, distance = 'radial'): p = pickable.DiscretePickable(self, 'data1', 'data2', lambda v1, v2: self.parent.graphToPlotCoords(v1, v2)) return p.pickPoint(x0, y0, bounds, distance) def pickIndex(self, oldindex, direction, bounds): p = pickable.DiscretePickable(self, 'data1', 'data2', lambda v1, v2: self.parent.graphToPlotCoords(v1, v2)) return p.pickIndex(oldindex, direction, bounds) def drawLabels(self, painter, xplotter, yplotter, textvals, markersize): """Draw labels for the points. This is copied from the xy (point) widget class, so it probably should be somehow be shared. FIXME: sane automatic placement of labels """ s = self.settings lab = s.get('Label') # work out offset an alignment deltax = markersize*1.5*{'left':-1, 'centre':0, 'right':1}[lab.posnHorz] deltay = markersize*1.5*{'top':-1, 'centre':0, 'bottom':1}[lab.posnVert] alignhorz = {'left':1, 'centre':0, 'right':-1}[lab.posnHorz] alignvert = {'top':-1, 'centre':0, 'bottom':1}[lab.posnVert] # make font and len textpen = lab.makeQPen() painter.setPen(textpen) font = lab.makeQFont(painter) angle = lab.angle # iterate over each point and plot each label for x, y, t in czip(xplotter+deltax, yplotter+deltay, textvals): utils.Renderer( painter, font, x, y, t, alignhorz, alignvert, angle ).render() def getColorbarParameters(self): """Return parameters for colorbar.""" s = self.settings c = s.Color return (c.min, c.max, c.scaling, s.MarkerFill.colorMap, 0, s.MarkerFill.colorMapInvert) def draw(self, parentposn, phelper, outerbounds=None): '''Plot the data on a plotter.''' posn = self.computeBounds(parentposn, phelper) s = self.settings d = self.document # exit if hidden if s.hide: return d1 = s.get('data1').getData(d) d2 = s.get('data2').getData(d) dscale = s.get('scalePoints').getData(d) colorpoints = s.Color.get('points').getData(d) text = s.get('labels').getData(d, checknull=True) if not d1 or not d2: return x1, y1, x2, y2 = posn cliprect = qt4.QRectF( qt4.QPointF(x1, y1), qt4.QPointF(x2, y2) ) painter = phelper.painter(self, posn) with painter: self.parent.setClip(painter, posn) # split parts separated by NaNs for v1, v2, scalings, cvals, textitems in document.generateValidDatasetParts( d1, d2, dscale, colorpoints, text): # convert data (chopping down length) v1d, v2d = v1.data, v2.data minlen = min(v1d.shape[0], v2d.shape[0]) v1d, v2d = v1d[:minlen], v2d[:minlen] px, py = self.parent.graphToPlotCoords(v1d, v2d) # do fill1 (if any) if not s.Fill1.hide: self.parent.drawFillPts(painter, s.Fill1, cliprect, px, py) # do fill2 if not s.Fill2.hide: self.parent.drawFillPts(painter, s.Fill2, cliprect, px, py) # plot line if not s.PlotLine.hide: painter.setBrush( qt4.QBrush() ) painter.setPen(s.PlotLine.makeQPen(painter)) pts = qt4.QPolygonF() utils.addNumpyToPolygonF(pts, px, py) utils.plotClippedPolyline(painter, cliprect, pts) # plot markers markersize = s.get('markerSize').convert(painter) if not s.MarkerLine.hide or not s.MarkerFill.hide: pscale = colorvals = cmap = None if scalings: pscale = scalings.data # color point individually if cvals and not s.MarkerFill.hide: colorvals = utils.applyScaling( cvals.data, s.Color.scaling, s.Color.min, s.Color.max) cmap = self.document.getColormap( s.MarkerFill.colorMap, s.MarkerFill.colorMapInvert) painter.setBrush(s.MarkerFill.makeQBrushWHide()) painter.setPen(s.MarkerLine.makeQPenWHide(painter)) utils.plotMarkers(painter, px, py, s.marker, markersize, scaling=pscale, clip=cliprect, cmap=cmap, colorvals=colorvals, scaleline=s.MarkerLine.scaleLine) # finally plot any labels if textitems and not s.Label.hide: self.drawLabels(painter, px, py, textitems, markersize) # allow the factory to instantiate plotter document.thefactory.register( NonOrthPoint ) veusz-1.21.1/veusz/widgets/page.py0000664000175000017500000003217312237406466015262 0ustar jssjss# Copyright (C) 2004 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """Widget that represents a page in the document.""" from __future__ import division import collections import textwrap import numpy as N from ..compat import crange, citems from .. import qtall as qt4 from .. import document from .. import setting from .. import utils from . import widget from . import controlgraph def _(text, disambiguation=None, context='Page'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) defaultrange = [1e99, -1e99] def _resolveLinkedAxis(axis): """Follow a chain of axis function dependencies.""" loopcheck = set() while axis is not None and axis.isLinked(): loopcheck.add(axis) axis = axis.getLinkedAxis() if axis in loopcheck: # fail if loop return None return axis class AxisDependHelper(object): """A class to work out the dependency of widgets on axes and vice versa, in terms of ranges of the axes. Note: Here a widget is really (widget, depname), as each widget can have a different dependency (e.g. sx and sy dependencies for plotters). It then works out the ranges for each of the axes from the plotters. connection types: plotter->axis : axis needs to know data range axis->plotter : plotter needs to know axis range axis<->axis : axes are mutually dependent aim: calculate ranges of axes given plotters problem: cycles in the graph f1<-x: function f1 depends on axis x f2<-y: function f2 depends on axis y y<-f1: axis y depends on function f1 x<-f2: axis x depends on function f2 solution: break dependency cycle: choose somewhere - probably better to choose where widget depends on axis however, axis<->axis cycle can't be broken additional solution: convert all dependencies on axis1 or axis2 to axiscomb x <-> axis1 <-> axis2 For linked axes (e.g. AxisFunction): * Don't keep track of range separately -> propagate to real axis * For dependency order resolution, use real axis * In self.deps, use axisfunction axis so we know which axis to use """ def __init__(self): # map widgets to widgets it depends on self.deps = collections.defaultdict(list) # list of axes self.axes = [] # list of plotters associated with each axis self.axis_plotter_map = collections.defaultdict(list) # ranges for each axis self.ranges = {} # pairs of dependent widgets self.pairs = [] # track axes which map from one axis to another self.axis_to_axislinked = {} self.axislinked_to_axis = {} def recursivePlotterSearch(self, widget): """Find a list of plotters below widget. Builds up a dict of "nodes" representing each widget: plotter/axis Each node is a list of tuples saying which widgets need evaling first The tuples are (widget, depname), where depname is a name for the part of the plotter, e.g. "sx" or "sy" for x or y. """ if widget.isplotter: # keep track of which widgets depend on which axes widgetaxes = {} for axname in widget.getAxesNames(): axis = widget.lookupAxis(axname) widgetaxes[axname] = axis self.axis_plotter_map[axis].append(widget) # if the widget is a plotter, find which axes the widget # can provide range information about for axname, depname in widget.affectsAxisRange(): origaxis = widgetaxes[axname] resolvedaxis = _resolveLinkedAxis(origaxis) if resolvedaxis is not None and resolvedaxis.usesAutoRange(): # only add dependency if axis has an automatic range self.deps[(origaxis, None)].append((widget, depname)) self.pairs.append( ((widget, depname), (resolvedaxis, None)) ) # find which axes the plotter needs information from for depname, axname in widget.requiresAxisRange(): origaxis = widgetaxes[axname] resolvedaxis = _resolveLinkedAxis(origaxis) if resolvedaxis is not None and resolvedaxis.usesAutoRange(): self.deps[(widget, depname)].append((origaxis, None)) self.pairs.append( ((resolvedaxis, None), (widget, depname)) ) elif widget.isaxis: if widget.isaxis and widget.isLinked(): # function of another axis linked = widget.getLinkedAxis() if linked is not None: self.axis_to_axislinked[linked] = widget self.axislinked_to_axis[widget] = linked else: # make a range for a normal axis self.axes.append(widget) self.ranges[widget] = list(defaultrange) for c in widget.children: self.recursivePlotterSearch(c) def breakCycles(self, origcyclic): """Remove cycles if possible.""" numcyclic = len(origcyclic) best = -1 for i in crange(len(self.pairs)): if not self.pairs[i][0][0].isaxis: p = self.pairs[:i] + self.pairs[i+1:] ordered, cyclic = utils.topological_sort(p) if len(cyclic) <= numcyclic: numcyclic = len(cyclic) best = i # delete best, or last one if none better found p = self.pairs[best] del self.pairs[best] try: idx = self.deps[p[1]].index(p[0]) del self.deps[p[1]][idx] except ValueError: pass def _updateAxisAutoRange(self, axis): """Update auto range for axis.""" # set actual range on axis, as axis no longer has a # dependency axrange = self.ranges[axis] if axrange == defaultrange: axrange = None # print "Updating", axis.name, axrange axis.setAutoRange(axrange) del self.ranges[axis] def _updateRangeFromPlotter(self, axis, plotter, plotterdep): """Update the range for axis from the plotter.""" if axis.isLinked(): # take range and map back to real axis therange = list(defaultrange) plotter.getRange(axis, plotterdep, therange) if therange != defaultrange: # follow up chain loopcheck = set() while axis.isLinked(): loopcheck.add(axis) therange = axis.invertFunctionVals(therange) axis = axis.getLinkedAxis() if axis in loopcheck: axis = None if axis is not None and therange is not None: self.ranges[axis] = [ N.nanmin((self.ranges[axis][0], therange[0])), N.nanmax((self.ranges[axis][1], therange[1])) ] else: plotter.getRange(axis, plotterdep, self.ranges[axis]) def processWidgetDeps(self, dep): """Process dependencies for a single widget.""" widget, widget_dep = dep # iterate over dependent widgets for widgetd, widgetd_dep in self.deps[dep]: # print "Dep: ", widget.name, widgetd.name if ( widgetd.isplotter and (not widgetd.settings.isSetting('hide') or not widgetd.settings.hide) ): self._updateRangeFromPlotter(widget, widgetd, widgetd_dep) elif widgetd.isaxis: axis = _resolveLinkedAxis(widgetd) if axis in self.ranges: self._updateAxisAutoRange(axis) def processDepends(self): """Go through dependencies of widget. If the dependency has no dependency itself, then update the axis with the widget or vice versa Algorithm: Iterate over dependencies for widget. If the widget has a dependency on a widget which doesn't have a dependency itself, update range from that widget. Then delete that depency from the dependency list. """ # get ordered list, breaking cycles while True: ordered, cyclic = utils.topological_sort(self.pairs) if not cyclic: break self.breakCycles(cyclic) # iterate over widgets in order for dep in ordered: self.processWidgetDeps(dep) # process deps for any axis functions while dep[0] in self.axis_to_axislinked: dep = (self.axis_to_axislinked[dep[0]], None) self.processWidgetDeps(dep) def findAxisRanges(self): """Find the ranges from the plotters and set the axis ranges. Follows the dependencies calculated above. """ self.processDepends() # set any remaining ranges for axis in list(self.ranges.keys()): self._updateAxisAutoRange(axis) class Page(widget.Widget): """A class for representing a page of plotting.""" typename='page' allowusercreation = True description=_('Blank page') def __init__(self, parent, name=None): """Initialise object.""" widget.Widget.__init__(self, parent, name=name) if type(self) == Page: self.readDefaults() @classmethod def addSettings(klass, s): widget.Widget.addSettings(s) # page sizes are initially linked to the document page size s.add( setting.DistancePhysical( 'width', setting.Reference('/width'), descr=_('Width of page'), usertext=_('Page width'), formatting=True) ) s.add( setting.DistancePhysical( 'height', setting.Reference('/height'), descr=_('Height of page'), usertext=_('Page height'), formatting=True) ) s.add( setting.Notes( 'notes', '', descr=_('User-defined notes'), usertext=_('Notes') ) ) @classmethod def allowedParentTypes(klass): from . import root return (root.Root,) @property def userdescription(self): """Return user-friendly description.""" return textwrap.fill(self.settings.notes, 60) def draw(self, parentposn, painthelper, outerbounds=None): """Draw the plotter. Clip graph inside bounds.""" # document should pass us the page bounds x1, y1, x2, y2 = parentposn # find ranges of axes axisdependhelper = AxisDependHelper() axisdependhelper.recursivePlotterSearch(self) axisdependhelper.findAxisRanges() # store axis->plotter mappings in painthelper painthelper.axisplottermap.update(axisdependhelper.axis_plotter_map) # reverse mapping pamap = collections.defaultdict(list) for axis, plotters in citems(painthelper.axisplottermap): for plot in plotters: pamap[plot].append(axis) painthelper.plotteraxismap.update(pamap) if self.settings.hide: bounds = self.computeBounds(parentposn, painthelper) return bounds # clip to page painter = painthelper.painter(self, parentposn) with painter: # w and h are non integer w = self.settings.get('width').convert(painter) h = self.settings.get('height').convert(painter) painthelper.setControlGraph(self, [ controlgraph.ControlMarginBox(self, [0, 0, w, h], [-10000, -10000, 10000, 10000], painthelper, ismovable = False) ] ) bounds = widget.Widget.draw(self, parentposn, painthelper, parentposn) return bounds def updateControlItem(self, cgi): """Call helper to set page size.""" cgi.setPageSize() # allow the factory to instantiate this document.thefactory.register( Page ) veusz-1.21.1/veusz/widgets/grid.py0000664000175000017500000003532312237406466015273 0ustar jssjss# Copyright (C) 2004 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """The grid class allows graphs to be arranged in a regular grid. The graphs may share axes if they are stored in the grid widget. """ from __future__ import division from ..compat import crange from .. import document from .. import setting from .. import qtall as qt4 from . import widget from . import graph from . import controlgraph def _(text, disambiguation=None, context='Grid'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class _gridengine: """Internal class to build up grid of widgets.""" def __init__(self, columns, rows): """Initialise allocater, with N columns or rows (other set to None).""" # we don't allocate space until it is used self.alloced = [] self.rows = rows self.columns = columns # starting position self.row = 0 self.col = 0 def isAlloced(self, c, r): """Returns whether element (c,r) allocated.""" if r >= len(self.alloced): return False row = self.alloced[r] if c >= len( row ): return False else: return row[c] def isAllocedBlock(self, c, r, w, h): """Is the block (c,r) -> (c+w,r+h) allocated?""" for y in crange(h): for x in crange(w): if self.isAlloced(c+x, y+r): return True return False def setAlloced(self, c, r): """Set element (c,r) as allocated.""" while r >= len(self.alloced): self.alloced.append( [] ) row = self.alloced[r] while c >= len(row): row.append( False ) row[c] = True def setAllocedBlock(self, c, r, w, h): """Set block (c,r)->(c+w,r+h) as allocated.""" for y in crange(h): for x in crange(w): self.setAlloced(x+c, y+r) def add(self, width, height): """Add a block of width x height, returning position as tuple.""" if self.columns is not None: # wrap around if item too wide # (providing we didn't request more columns than we have - # in that case we ignore the request) if ((self.col + width) > self.columns) and (width <= self.columns): self.col = 0 self.row += 1 # increase column until we can allocate the block # if we run out of columns, move to the next row while self.isAllocedBlock(self.col, self.row, width, height): self.col += 1 if (self.col + width > self.columns) and \ (width <= self.columns): self.col = 0 self.row += 1 # save position c = self.col r = self.row self.col += width else: # work in row based layout now if ((self.row + height) > self.rows) and (height <= self.rows): self.row = 0 self.col += 1 # increase row until we can allocate the next block # if we run out of rows, move to the next column while self.isAllocedBlock(self.col, self.row, width, height): self.row += 1 if (self.row + height > self.rows) and (height <= self.rows): self.row = 0 self.col += 1 # save position c = self.col r = self.row self.row += height # allocate and return block position self.setAllocedBlock(c, r, width, height) return (c, r) def getAllocedDimensions(self): """Return the columns x rows allocated.""" # assumes blocks don't get unset h = len(self.alloced) w = 0 for l in self.alloced: w = max(w, len(l)) return (w, h) class Grid(widget.Widget): """Class to hold plots in a grid arrangement. The idea is we either specify how many rows or columns to use. If we specify no of rows, then we fill vertically until we exceed rows, then we add another column. The same is true if cols is specified. """ typename='grid' allowusercreation=True description=_('Arrange graphs in a grid') def __init__(self, parent, name=None): """Initialise the grid. """ widget.Widget.__init__(self, parent, name=name) # we're not descended from if type(self) == Grid: self.readDefaults() self.addAction( widget.Action( 'zeroMargins', self.actionZeroMargins, descr = _('Zero margins of graphs in grid'), usertext = _('Zero margins')) ) # calculated positions for children self.childpositions = {} # watch for changes to these variables to decide whether to # recalculate positions self.lastdimensions = None self.lastscalings = None self.lastchildren = None @classmethod def addSettings(klass, s): """Construct list of settings.""" widget.Widget.addSettings(s) s.add(setting.Int('rows', 2, descr = _('Number of rows in grid'), usertext=_('Number of rows')) ) s.add(setting.Int('columns', 2, descr = _('Number of columns in grid'), usertext=_('Number of columns')) ) s.add( setting.FloatList( 'scaleRows', [], descr = _('Row scaling factors. A sequence' ' of values\nby which to scale rows ' 'relative to each other.'), usertext=_('Row scalings')) ) s.add( setting.FloatList( 'scaleCols', [], descr = _('Column scaling factors. A sequence' ' of values\nby which to scale columns' ' relative to each other.'), usertext=_('Column scalings')) ) s.add( setting.Distance( 'leftMargin', '1.7cm', descr=_('Distance from left of grid to edge of page'), usertext=_('Left margin'), formatting=True) ) s.add( setting.Distance( 'rightMargin', '0.2cm', descr=_('Distance from right of grid to edge of page'), usertext=_('Right margin'), formatting=True) ) s.add( setting.Distance( 'topMargin', '0.2cm', descr=_('Distance from top of grid to edge of page'), usertext=_('Top margin'), formatting=True) ) s.add( setting.Distance( 'bottomMargin', '1.7cm', descr=_('Distance from bottom of grid to edge of page'), usertext=_('Bottom margin'), formatting=True) ) s.add( setting.Distance( 'internalMargin', '0cm', descr=_('Gap between grid members'), usertext=_('Internal margin'), formatting=True) ) @classmethod def allowedParentTypes(klass): from . import page return (page.Page, Grid) @property def userdescription(self): """User friendly description.""" s = self.settings return "%(rows)i rows, %(columns)i columns" % s def _recalcPositions(self): """(internal) recalculate the positions of the children.""" # class to handle management ge = _gridengine(self.settings.columns, self.settings.rows) # copy children, and remove any which are axes children = [ c for c in self.children if not c.isaxis ] child_dimensions = {} child_posns = {} for c in children: dims = (1, 1) child_dimensions[c] = dims child_posns[c] = ge.add(*dims) nocols, norows = ge.getAllocedDimensions() self.dims = (nocols, norows) # exit if there aren't any children if nocols == 0 or norows == 0: return # get total scaling factors for cols scalecols = list(self.settings.scaleCols[:nocols]) scalecols += [1.]*(nocols-len(scalecols)) totscalecols = sum(scalecols) if totscalecols == 0.: totscalecols = 1. # fractional starting positions of columns last = 0. startcols = [last] for scale in scalecols: last += scale/totscalecols startcols.append(last) # similarly get total scaling factors for rows scalerows = list(self.settings.scaleRows[:norows]) scalerows += [1.]*(norows-len(scalerows)) totscalerows = sum(scalerows) if totscalerows == 0.: totscalerows = 1. # fractional starting positions of rows last = 0. startrows = [last] for scale in scalerows: last += scale/totscalerows startrows.append(last) # iterate over children, and modify positions self.childpositions.clear() for child in children: dims = child_dimensions[child] pos = child_posns[child] self.childpositions[child] = ( ( pos[0], pos[1] ), ( startcols[pos[0]], startrows[pos[1]], startcols[pos[0]+dims[0]], startrows[pos[1]+dims[1]] ), ) def actionZeroMargins(self): """Zero margins of plots inside this grid.""" operations = [] for c in self.children: if isinstance(c, graph.Graph): s = c.settings for v in ('leftMargin', 'topMargin', 'rightMargin', 'bottomMargin'): operations.append( document.OperationSettingSet(s.get(v), '0cm') ) self.document.applyOperation( document.OperationMultiple(operations, descr='zero margins') ) def _drawChild(self, phelper, child, bounds, parentposn): """Draw child at correct position, with correct bounds.""" # default positioning coutbound = newbounds = parentposn if child in self.childpositions: intmargin = self.settings.get('internalMargin').convert(phelper) cidx, cpos = self.childpositions[child] # calculate size after margins dx = bounds[2]-bounds[0] dy = bounds[3]-bounds[1] marx = intmargin*max(0, self.dims[0]-1) mary = intmargin*max(0, self.dims[1]-1) if dx > marx and dy > mary: dx -= marx dy -= mary else: # margins too big intmargin = 0 # bounds for child newbounds = [ bounds[0]+dx*cpos[0]+intmargin*cidx[0], bounds[1]+dy*cpos[1]+intmargin*cidx[1], bounds[0]+dx*cpos[2]+intmargin*cidx[0], bounds[1]+dy*cpos[3]+intmargin*cidx[1] ] # bounds the axes can spread into coutbound = list(newbounds) # adjust outer bounds to half the internal margin space if cidx[0] > 0: coutbound[0] -= intmargin/2. if cidx[1] > 0: coutbound[1] -= intmargin/2. if cidx[0] < self.dims[0]-1: coutbound[2] += intmargin/2. if cidx[1] < self.dims[1]-1: coutbound[3] += intmargin/2. # work out bounds for graph in box # this is the space available for axes, etc # FIXME: should consider case if no graphs to side if cidx[0] == 0: coutbound[0] = parentposn[0] if cidx[1] == 0: coutbound[1] = parentposn[1] if cidx[0] == self.dims[0]-1: coutbound[2] = parentposn[2] if cidx[1] == self.dims[1]-1: coutbound[3] = parentposn[3] # draw widget child.draw(newbounds, phelper, outerbounds=coutbound) def getMargins(self, painthelper): """Use settings to compute margins.""" s = self.settings return ( s.get('leftMargin').convert(painthelper), s.get('topMargin').convert(painthelper), s.get('rightMargin').convert(painthelper), s.get('bottomMargin').convert(painthelper) ) def draw(self, parentposn, phelper, outerbounds=None): """Draws the widget's children.""" s = self.settings # if the contents have been modified, recalculate the positions dimensions = (s.columns, s.rows) scalings = (s.scaleRows, s.scaleCols) if ( self.children != self.lastchildren or self.lastdimensions != dimensions or self.lastscalings != scalings ): self._recalcPositions() self.lastchildren = list(self.children) self.lastdimensions = dimensions self.lastscalings = scalings bounds = self.computeBounds(parentposn, phelper) maxbounds = self.computeBounds(parentposn, phelper, withmargin=False) painter = phelper.painter(self, bounds) # controls for adjusting grid margins phelper.setControlGraph(self,[ controlgraph.ControlMarginBox(self, bounds, maxbounds, phelper)]) with painter: for child in self.children: if not child.isaxis: self._drawChild(phelper, child, bounds, parentposn) # do not call widget.Widget.draw, do not collect 200 pounds pass def updateControlItem(self, cgi): """Grid resized or moved - call helper routine to move self.""" cgi.setWidgetMargins() # allow the factory to instantiate a grid document.thefactory.register( Grid ) veusz-1.21.1/veusz/widgets/polygon.py0000664000175000017500000000674712237406466016045 0ustar jssjss# Copyright (C) 2009 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### from __future__ import division from .. import document from .. import setting from .. import qtall as qt4 from .. import utils from . import plotters def _(text, disambiguation=None, context='Polygon'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class Polygon(plotters.FreePlotter): """For plotting polygons.""" typename = 'polygon' allowusercreeation = True description = _('Plot a polygon') def __init__(self, parent, name=None): """Initialise object, setting axes.""" plotters.FreePlotter.__init__(self, parent, name=name) @classmethod def addSettings(klass, s): """Construct list of settings.""" plotters.FreePlotter.addSettings(s) s.add( setting.Line('Line', descr = _('Line around polygon'), usertext = _('Line')), pixmap = 'settings_plotline' ) s.add( setting.BrushExtended('Fill', descr = _('Fill within polygon'), usertext = _('Fill')), pixmap = 'settings_plotfillbelow' ) def draw(self, posn, phelper, outerbounds=None): """Plot the data on a plotter.""" s = self.settings # exit if hidden if s.hide: return # get points in plotter coordinates xp, yp = self._getPlotterCoords(posn) if xp is None or yp is None: # we can't calculate coordinates return x1, y1, x2, y2 = posn cliprect = qt4.QRectF( qt4.QPointF(x1, y1), qt4.QPointF(x2, y2) ) painter = phelper.painter(self, posn, clip=cliprect) with painter: pen = s.Line.makeQPenWHide(painter) pw = pen.widthF()*2 lineclip = qt4.QRectF( qt4.QPointF(x1-pw, y1-pw), qt4.QPointF(x2+pw, y2+pw) ) # this is a hack as we generate temporary fake datasets path = qt4.QPainterPath() for xvals, yvals in document.generateValidDatasetParts( document.Dataset(xp), document.Dataset(yp)): poly = qt4.QPolygonF() utils.addNumpyToPolygonF(poly, xvals.data, yvals.data) clippedpoly = qt4.QPolygonF() utils.polygonClip(poly, lineclip, clippedpoly) path.addPolygon(clippedpoly) path.closeSubpath() utils.brushExtFillPath(painter, s.Fill, path, stroke=pen) # allow the factory to instantiate this document.thefactory.register( Polygon ) veusz-1.21.1/veusz/widgets/axisfunction.py0000644000175000017500000004545712327177747017076 0ustar jssjss# Copyright (C) 2013 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## '''An axis based on a function of another axis.''' from __future__ import division import numpy as N from ..compat import crange, cstr from .. import qtall as qt4 from .. import setting from .. import document from . import axis def _(text, disambiguation=None, context='FunctionAxis'): '''Translate text.''' return qt4.QCoreApplication.translate(context, text, disambiguation) class AxisError(RuntimeError): pass class FunctionError(AxisError): pass def solveFunction(function, vals, mint=None, maxt=None): '''Solve a function for a list of values (vals), if we don't know where the solution lies. function is a function to call. This tries a range of possible input values, and uses binary search to refine the solution. mint and maxt are the bounds to use when solving ''' xvals = N.array( ( -1e90, -1e70, -1e50, -1e40, -1e30, -1e20, -1e10, -1e8, -1e6, -1e5, -1e4, -1e3, -1e2, -1e1, -4e0, -2e0, -1e0, -1e-1, -1e-2, -1e-3, -1e-4, -1e-6, -1e-8, -1e-10, -1e-12, -1e-14, -1e-18, -1e-22, -1e-26, -1e-30, -1e-34, -1e-40, -1e-50, -1e-70, -1e-90, 0, 1e-90, 1e-70, 1e-50, 1e-40, 1e-34, 1e-30, 1e-26, 1e-22, 1e-18, 1e-14, 1e-12, 1e-10, 1e-8, 1e-6, 1e-4, 1e-3, 1e-2, 1e-1, 1e0, 2e0, 4e0, 1e1, 1e2, 1e3, 1e4, 1e5, 1e6, 1e8, 1e10, 1e20, 1e30, 1e40, 1e50, 1e70, 1e90 )) if mint is not None: xvals = N.hstack(( mint, xvals[xvals > mint] )) if maxt is not None: xvals = N.hstack(( xvals[xvals < maxt], maxt )) # yvalue in correct shape yvals = function(xvals) + N.zeros(len(xvals)) anynan = N.any( N.isnan(yvals) ) if anynan: raise FunctionError(_('Invalid regions in function ' '(try setting minimum or maximum t)')) # remove any infinite regions f = N.isfinite(yvals) xfilt = xvals[f] yfilt = yvals[f] if len(yfilt) < 2: raise FunctionError(_('Solutions to equation cannot be found')) # check for monotonicity delta = yfilt[1:] - yfilt[:-1] pos, neg = N.all(delta >= 0), N.all(delta <= 0) if not (pos or neg): raise FunctionError(_('Not a monotonic function ' '(try setting minimum or maximum t)')) if pos and neg: raise FunctionError(_('Constant function')) # easier if the values are increasing only if neg: yfilt = yfilt[::-1] xfilt = xfilt[::-1] # do binary search for each input value out = [] for thisval in vals: # renorm to zero ydelta = yfilt - thisval # solution is between this and the next idx = N.searchsorted(ydelta, 0.) if idx == 0: if ydelta[0] == 0.: # work around value being at start of array idx = 1 else: raise AxisError(_('No solution found')) elif idx == len(ydelta): raise AxisError(_('No solution found')) x1, x2 = xfilt[idx-1], xfilt[idx] y1, y2 = ydelta[idx-1], ydelta[idx] # binary search tol = abs(1e-6 * thisval) for i in crange(30): # print x1, y1, "->", x2, y2 if abs(y1) <= tol and abs(y1) < abs(y2): x2, y2 = x1, y1 break # found solution if abs(y2) <= tol: x1, y1 = x2, y2 break # found solution if y1 == y2 or ((y1<0) and (y2<0)) or ((y1>0) and (y2>0)): raise AxisError(_('No solution found')) ### This is a bit faster, but bisection is simpler # xv = N.linspace(x1, x2, num=100) # yv = function(xv) + xv*0. - thisval # idx = N.searchsorted(yv, 0.) # if idx == 0: # idx = 1 # x1 = xv[idx-1] # y1 = yv[idx-1] # x2 = xv[idx] # y2 = yv[idx] x3 = 0.5*(x1+x2) y3 = function(x3) - thisval if not N.isfinite(y3): raise AxisError(_('Non-finite value encountered')) if y3 < 0: x1 = x3 y1 = y3 else: x2 = x3 y2 = y3 out.append(0.5*(x1+x2)) return out class AxisFunction(axis.Axis): '''An axis using an function of another axis.''' typename = 'axis-function' description = 'An axis based on a function of the values of another axis' def __init__(self, *args, **argsv): axis.Axis.__init__(self, *args, **argsv) self.cachedfuncobj = None self.cachedbounds = None self.funcchangeset = -1 self.boundschangeset = -1 if type(self) == AxisFunction: self.readDefaults() @classmethod def addSettings(klass, s): '''Construct list of settings.''' axis.Axis.addSettings(s) s.add( setting.BoolSwitch( 'linked', False, settingsfalse=('min', 'max'), settingstrue=('linkedaxis',), descr=_('Link axis to another axis'), usertext=_('Linked') ), 0 ) s.add( setting.Str('function', 't', descr=_('Monotonic function (use t as variable)'), usertext=_('Function')), 1 ) s.add( setting.Axis('linkedaxis', '', 'both', descr = _('Axis which this axis is based on'), usertext=_('Linked axis')), 6 ) s.add( setting.FloatOrAuto('mint', 'Auto', descr=_('Minimum value of t or Auto'), usertext=('Min t')), 7 ) s.add( setting.FloatOrAuto('maxt', 'Auto', descr=_('Maximum value of t or Auto'), usertext=('Max t')), 8 ) s.get('autoRange').hidden = True s.get('autoRange').newDefault('exact') @property def userdescription(self): """User friendly description.""" s = self.settings return _("axis='%s', function='%s'") % (s.linkedaxis, s.function) def logError(self, ex): '''Write error message to document log for exception ex.''' self.document.log( _("Error in axis-function (%s): '%s'") % ( self.settings.function, cstr(ex))) def getMinMaxT(self): '''Get minimum and maximum t.''' mint = self.settings.mint if mint == 'Auto': mint = None maxt = self.settings.maxt if maxt == 'Auto': maxt = None return mint, maxt def getFunction(self): '''Check whether function needs to be compiled.''' if self.funcchangeset == self.document.changeset: return self.cachedfuncobj self.funcchangeset = self.document.changeset compiled = self.document.compileCheckedExpression( self.settings.function.strip()) if compiled is None: self.cachedfuncobj = None else: # a python function for doing the evaluation and handling # errors env = self.document.eval_context.copy() def function(t): env['t'] = t try: return eval(compiled, env) except Exception as e: self.logError(e) return N.nan + t self.cachedfuncobj = function mint, maxt = self.getMinMaxT() try: solveFunction(function, [0.], mint=mint, maxt=maxt) except FunctionError as e: self.logError(e) self.cachedfuncobj = None except AxisError: pass return self.cachedfuncobj def invertFunctionVals(self, vals): '''Convert values which are a function of fn and compute t.''' fn = self.getFunction() if fn is None: return None mint, maxt = self.getMinMaxT() try: return solveFunction(fn, vals, mint=mint, maxt=maxt) except Exception as e: self.logError(e) return None def lookupAxis(self, axisname): '''Find widget associated with axisname.''' w = self.parent while w: for c in w.children: if ( c.name == axisname and c.isaxis and c is not self ): return c w = w.parent return None def isLinked(self): '''Is this axis linked to another?''' return self.settings.linked def getLinkedAxis(self): '''Get the widget for the linked axis.''' if not self.settings.linked: return None linked = self.lookupAxis(self.settings.linkedaxis) if linked is self: return None return linked def computePlottedRange(self, force=False): '''Use other axis to compute range.''' if self.docchangeset == self.document.changeset and not force: return therange = None linked = self.getLinkedAxis() fn = self.getFunction() if linked is not None and fn is not None: # compute our range from the linked axis linked.computePlottedRange() try: therange = fn(N.array(linked.plottedrange)) * N.ones(2) except Exception as e: self.logError(e) if not N.all( N.isfinite(therange) ): therange = None axis.Axis.computePlottedRange(self, force=force, overriderange=therange) def _orderCoordinates(self): '''Put coordinates in correct order for linear interpolation.''' if len(self.graphcoords) == 0: self.graphcoords = None return if self.graphcoords[0] > self.graphcoords[-1]: # order must be increasing (for forward conversion) self.graphcoords = self.graphcoords[::-1] self.pixcoords = self.pixcoords[::-1] if self.pixcoords_inv[0] > self.pixcoords_inv[-1]: # likewise increasing order for inverse self.pixcoords_inv = self.pixcoords_inv[::-1] self.graphcoords_inv = self.graphcoords_inv[::-1] def _updateLinkedAxis(self, bounds, fraccoords): '''Calculate coordinate conversion for linked axes.''' link = self.getLinkedAxis() if link is None: return # To do the inverse calculation, we define a grid of pixel # values. We need some sensitivity outside the axis range to # get angles of lines correct. We start with fractional graph # coordinates to translate to the other axis coordinates. # coordinate values on the other axis try: linkwidth = link.coordParr2-link.coordParr1 linkorigin = link.coordParr1 linkbounds = link.currentbounds except AttributeError: # if hasn't been initialised return # lookup what pixels are on linked axis in values linkpixcoords = fraccoords*linkwidth + linkorigin linkgraphcoords = link.plotterToGraphCoords(linkbounds, linkpixcoords) # flip round if coordinates reversed if linkgraphcoords[0] > linkgraphcoords[-1]: linkgraphcoords = linkgraphcoords[::-1] linkpixcoords = linkpixcoords[::-1] fraccoords = fraccoords[::-1] # Chop to range. This is rather messy as there are several # sets of coordinates to extend and chop: graph coordinates, # pixel coordinates and fractional coordinates. mint, maxt = self.getMinMaxT() if mint is not None and mint > linkgraphcoords[0]: mintpix = link.graphToPlotterCoords(linkbounds, N.array([mint])) sel = linkgraphcoords > mint linkgraphcoords = N.hstack((mint, linkgraphcoords[sel])) linkpixcoords = N.hstack((mintpix, linkpixcoords[sel])) frac = (mintpix - linkorigin) / linkwidth fraccoords = N.hstack((frac, fraccoords[sel])) if maxt is not None and maxt < linkgraphcoords[-1]: maxtpix = link.graphToPlotterCoords(linkbounds, N.array([maxt])) sel = linkgraphcoords < maxt linkgraphcoords = N.hstack((linkgraphcoords[sel], maxt)) linkpixcoords = N.hstack((linkpixcoords[sel], maxtpix)) frac = (maxtpix - linkorigin) / linkwidth fraccoords = N.hstack((fraccoords[sel], frac)) try: ourgraphcoords = self.getFunction()(linkgraphcoords) except: return deltas = ourgraphcoords[1:] - ourgraphcoords[:-1] pos = N.all(deltas >= 0.) neg = N.all(deltas <= 0.) if (not pos and not neg) or (pos and neg): self.logError(_('Not a monotonic function')) return # Select only finite vals. We store _inv coords separately # as linear interpolation requires increasing values. f = N.isfinite(linkgraphcoords + ourgraphcoords) self.graphcoords = self.graphcoords_inv = ourgraphcoords[f] # This is true if the axis is plotting on the same graph in # the same direction. If this is the case, use our coordinates # directly. if ( link.settings.direction == self.settings.direction and link.currentbounds == bounds ): self.pixcoords = self.pixcoords_inv = linkpixcoords[f] else: # convert fractions to our coordinates self.pixcoords = self.pixcoords_inv = ( fraccoords[f]*(self.coordParr2-self.coordParr1)+self.coordParr1) # put output coordinates in correct order self._orderCoordinates() def _updateFreeAxis(self, bounds, fraccoords): '''Calculate coordinates for a free axis.''' self.computePlottedRange() trange = self.invertFunctionVals(N.array(self.plottedrange)) if trange is None: return tvals = fraccoords*(trange[1]-trange[0]) + trange[0] if tvals[0] > tvals[-1]: # simplifies below if t is in order tvals = tvals[::-1] fraccoords = fraccoords[::-1] # limit t to the range if given mint, maxt = self.getMinMaxT() if mint is not None and mint > tvals[0]: sel = tvals > mint minfrac = (mint - trange[0]) / (trange[1]-trange[0]) fraccoords = N.hstack( (minfrac, fraccoords[sel]) ) tvals = N.hstack( (mint, tvals[sel]) ) if maxt is not None and maxt < tvals[-1]: sel = tvals < maxt maxfrac = (maxt - trange[0]) / (trange[1]-trange[0]) fraccoords = N.hstack( (fraccoords[sel], maxfrac) ) tvals = N.hstack( (tvals[sel], maxt) ) try: ourgraphcoords = self.getFunction()(tvals) except Exception: return deltas = ourgraphcoords[1:] - ourgraphcoords[:-1] pos = N.all(deltas >= 0.) neg = N.all(deltas <= 0.) if (not pos and not neg) or (pos and neg): self.logError(_('Not a monotonic function')) return # Select only finite vals. We store _inv coords separately # as linear interpolation requires increasing values. f = N.isfinite(ourgraphcoords) self.graphcoords = self.graphcoords_inv = ourgraphcoords[f] self.pixcoords = self.pixcoords_inv = ( fraccoords[f]*(self.coordParr2-self.coordParr1) + self.coordParr1 ) # put output coordinates in correct order self._orderCoordinates() def updateAxisLocation(self, bounds, otherposition=None, lowerupperposition=None): '''Calculate conversion from pixels to axis values.''' axis.Axis.updateAxisLocation(self, bounds, otherposition=otherposition, lowerupperposition=lowerupperposition) if ( self.boundschangeset == self.document.changeset and bounds == self.cachedbounds ): # don't recalculate unless document updated or bounds changes return self.cachedbounds = list(bounds) self.boundschangeset = self.document.changeset self.graphcoords = None # fractional coordinate grid to evaluate functions fraccoords = N.hstack(( N.linspace(-10., -2.0, 5, endpoint=False), N.linspace(-2.0, -0.2, 25, endpoint=False), N.linspace(-0.2, +1.2, 250, endpoint=False), N.linspace(+1.2, +3.0, 25, endpoint=False), N.linspace(+3.0, +11., 5, endpoint=False) )) if self.isLinked(): self._updateLinkedAxis(bounds, fraccoords) else: self._updateFreeAxis(bounds, fraccoords) def _linearInterpolWarning(self, vals, xcoords, ycoords): '''Linear interpolation, giving out of bounds warning.''' if any(vals < xcoords[0]) or any(vals > xcoords[-1]): self.document.log( _('Warning: values exceed bounds in axis-function')) return N.interp(vals, xcoords, ycoords) def _graphToPlotter(self, vals): '''Override normal axis graph->plotter coords to do lookup.''' if self.graphcoords is None: return axis.Axis._graphToPlotter(self, vals) else: return self._linearInterpolWarning( vals, self.graphcoords, self.pixcoords) def plotterToGraphCoords(self, bounds, vals): '''Override normal axis plotter->graph coords to do lookup.''' if self.graphcoords is None: return axis.Axis.plotterToGraphCoords(self, bounds, vals) else: self.updateAxisLocation(bounds) return self._linearInterpolWarning( vals, self.pixcoords_inv, self.graphcoords_inv) # allow the factory to instantiate the widget document.thefactory.register( AxisFunction ) veusz-1.21.1/veusz/widgets/nonorthfunction.py0000664000175000017500000001604412237406466017602 0ustar jssjss# Copyright (C) 2010 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## '''Non orthogonal function plotting.''' from __future__ import division import numpy as N from ..compat import cstr from .. import qtall as qt4 from .. import document from .. import setting from .. import utils from . import pickable from .nonorthgraph import NonOrthGraph, FillBrush from .widget import Widget def _(text, disambiguation=None, context='NonOrthFunction'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class NonOrthFunction(Widget): '''Widget for plotting a function on a non-orthogonal plot.''' typename = 'nonorthfunc' allowusercreation = True description = _('Plot a function on graphs with non-orthogonal axes') def __init__(self, parent, name=None): '''Initialise plotter.''' Widget.__init__(self, parent, name=name) if type(self) == NonOrthFunction: self.readDefaults() @classmethod def addSettings(klass, s): '''Settings for widget.''' Widget.addSettings(s) s.add( setting.Str('function', 'a', descr=_('Function expression'), usertext=_('Function')) ) s.add( setting.Choice('variable', ['a', 'b'], 'a', descr=_('Variable the function is a function of'), usertext=_('Variable')) ) s.add(setting.FloatOrAuto('min', 'Auto', descr=_('Minimum value at which to plot function'), usertext=_('Min'))) s.add(setting.FloatOrAuto('max', 'Auto', descr=_('Maximum value at which to plot function'), usertext=_('Max'))) s.add( setting.Line('PlotLine', descr = _('Plot line settings'), usertext = _('Plot line')), pixmap = 'settings_plotline' ) s.add( FillBrush('Fill1', descr = _('Fill settings (1)'), usertext = _('Area fill 1')), pixmap = 'settings_plotfillbelow' ) s.add( FillBrush('Fill2', descr = _('Fill settings (2)'), usertext = _('Area fill 2')), pixmap = 'settings_plotfillbelow' ) s.add( setting.Int('steps', 50, descr = _('Number of steps to evaluate the function' ' over'), usertext=_('Steps'), formatting=True), 0 ) @classmethod def allowedParentTypes(klass): return (NonOrthGraph,) @property def userdescription(self): return _("function='%s'") % self.settings.function def initEnviron(self): '''Set up function environment.''' return self.document.eval_context.copy() def logEvalError(self, ex): '''Write error message to document log for exception ex.''' self.document.log( "Error evaluating expression in function widget '%s': '%s'" % ( self.name, cstr(ex))) def getFunctionPoints(self): '''Get points for plotting function. Return (apts, bpts) ''' # get range of variable in expression s = self.settings crange = self.parent.coordRanges()[ {'a': 0, 'b': 1}[s.variable] ] if s.min != 'Auto': crange[0] = s.min if s.max != 'Auto': crange[1] = s.max steps = max(2, s.steps) # input values for function invals = ( N.arange(steps)*(1./(steps-1))*(crange[1]-crange[0]) + crange[0] ) # do evaluation env = self.initEnviron() env[s.variable] = invals comp = self.document.compileCheckedExpression(s.function) if comp is None: return N.array([]), N.array([]) try: vals = eval(comp, env) + invals*0. except Exception as e: self.logEvalError(e) vals = invals = N.array([]) # return points if s.variable == 'a': return invals, vals else: return vals, invals def updateDataRanges(self, inrange): '''Update ranges of data given function.''' def _pickable(self): apts, bpts = self.getFunctionPoints() px, py = self.parent.graphToPlotCoords(apts, bpts) if self.settings.variable == 'a': labels = ('a', 'b(a)') else: labels = ('a(b)', 'b') return pickable.GenericPickable( self, labels, (apts, bpts), (px, py) ) def pickPoint(self, x0, y0, bounds, distance='radial'): return self._pickable().pickPoint(x0, y0, bounds, distance) def pickIndex(self, oldindex, direction, bounds): return self._pickable().pickIndex(oldindex, direction, bounds) def draw(self, parentposn, phelper, outerbounds=None): '''Plot the function on a plotter.''' posn = self.computeBounds(parentposn, phelper) s = self.settings # exit if hidden if s.hide: return apts, bpts = self.getFunctionPoints() px, py = self.parent.graphToPlotCoords(apts, bpts) x1, y1, x2, y2 = posn cliprect = qt4.QRectF( qt4.QPointF(x1, y1), qt4.QPointF(x2, y2) ) painter = phelper.painter(self, posn) with painter: self.parent.setClip(painter, posn) # plot line painter.setBrush(qt4.QBrush()) painter.setPen( s.PlotLine.makeQPenWHide(painter) ) for x, y in utils.validLinePoints(px, py): if not s.Fill1.hide: self.parent.drawFillPts(painter, s.Fill1, cliprect, x, y) if not s.Fill2.hide: self.parent.drawFillPts(painter, s.Fill2, cliprect, x, y) if not s.PlotLine.hide: p = qt4.QPolygonF() utils.addNumpyToPolygonF(p, x, y) painter.setBrush(qt4.QBrush()) painter.setPen( s.PlotLine.makeQPen(painter) ) utils.plotClippedPolyline(painter, cliprect, p) document.thefactory.register( NonOrthFunction ) veusz-1.21.1/veusz/widgets/key.py0000664000175000017500000004433012346112416015122 0ustar jssjss# key symbol plotting # Copyright (C) 2005 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### from __future__ import division import math from ..compat import crange, citems from .. import qtall as qt4 from .. import document from .. import setting from .. import utils from . import widget from . import controlgraph def _(text, disambiguation=None, context='Key'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) ############################################################################# # classes for controlling key position interactively class ControlKey(object): """Control the position of a key on a plot.""" def __init__( self, widget, parentposn, boxposn, boxdims, textheight ): """widget is widget to adjust parentposn: posn of parent on plot xpos, ypos: position of key width. height: size of key textheight: """ self.widget = widget self.parentposn = tuple(parentposn) self.posn = tuple(boxposn) self.dims = tuple(boxdims) self.textheight = textheight def createGraphicsItem(self): return _GraphControlKey(self) class _GraphControlKey(qt4.QGraphicsRectItem): """The graphical rectangle which is dragged around to reposition the key.""" def __init__(self, params): qt4.QGraphicsRectItem.__init__(self, params.posn[0], params.posn[1], params.dims[0], params.dims[1]) self.params = params self.setCursor(qt4.Qt.SizeAllCursor) self.setZValue(1.) self.setFlag(qt4.QGraphicsItem.ItemIsMovable) self.highlightpen = qt4.QPen(qt4.Qt.red, 2, qt4.Qt.DotLine) pposn, dims = params.parentposn, params.dims th = params.textheight # special places on the plot xposn = { 'left': pposn[0] + th, 'centre': pposn[0] + 0.5*(pposn[2]-pposn[0]-dims[0]), 'right': pposn[2] - th - dims[0] } yposn = { 'top': pposn[1] + th, 'centre': pposn[1] + 0.5*(pposn[3]-pposn[1]-dims[1]), 'bottom': pposn[3] - th - dims[1] } # these are special places where the key is aligned self.highlightpoints = {} for xname, xval in citems(xposn): for yname, yval in citems(yposn): self.highlightpoints[(xname, yname)] = qt4.QPointF(xval, yval) self.updatePen() def checkHighlight(self): """Check to see whether box is over hightlight area. Returns (x, y) name or None if not.""" rect = self.rect() rect.translate(self.pos()) highlight = None highlightrect = qt4.QRectF(rect.left()-10, rect.top()-10, 20, 20) for name, point in citems(self.highlightpoints): if highlightrect.contains(point): highlight = name break return highlight def updatePen(self): """Update color of rectangle if it is over a hightlight area.""" if self.checkHighlight(): self.setPen(self.highlightpen) else: self.setPen(controlgraph.controlLinePen()) def mouseMoveEvent(self, event): """Set correct pen for box.""" qt4.QGraphicsRectItem.mouseMoveEvent(self, event) self.updatePen() def mouseReleaseEvent(self, event): """Update widget with position.""" qt4.QGraphicsRectItem.mouseReleaseEvent(self, event) highlight = self.checkHighlight() if highlight: # in a highlight zone so use highlight zone name to set position hp, vp = highlight hm, vm = 0., 0. else: # calculate the position of the box to work out Manual fractions rect = self.rect() rect.translate(self.pos()) pposn = self.params.parentposn hp, vp = 'manual', 'manual' hm = (rect.left() - pposn[0]) / (pposn[2] - pposn[0]) vm = (pposn[3] - rect.bottom()) / (pposn[3] - pposn[1]) # update widget with positions s = self.params.widget.settings operations = ( document.OperationSettingSet(s.get('horzPosn'), hp), document.OperationSettingSet(s.get('vertPosn'), vp), document.OperationSettingSet(s.get('horzManual'), hm), document.OperationSettingSet(s.get('vertManual'), vm), ) self.params.widget.document.applyOperation( document.OperationMultiple(operations, descr=_('move key'))) ############################################################################ class Key(widget.Widget): """Key on graph.""" typename = 'key' description = _('Plot key') allowusercreation = True def __init__(self, parent, name=None): widget.Widget.__init__(self, parent, name=name) if type(self) == Key: self.readDefaults() @classmethod def addSettings(klass, s): """Construct list of settings.""" widget.Widget.addSettings(s) s.add( setting.Text('Text', descr = _('Text settings'), usertext=_('Text')), pixmap = 'settings_axislabel' ) s.add( setting.KeyBrush('Background', descr = _('Key background fill'), usertext=_('Background')), pixmap = 'settings_bgfill' ) s.add( setting.Line('Border', descr = _('Key border line'), usertext=_('Border')), pixmap = 'settings_border' ) s.add( setting.Str('title', '', descr=_('Key title text'), usertext=_('Title')) ) s.add( setting.AlignHorzWManual( 'horzPosn', 'right', descr = _('Horizontal key position'), usertext=_('Horz posn'), formatting=True) ) s.add( setting.AlignVertWManual( 'vertPosn', 'bottom', descr = _('Vertical key position'), usertext=_('Vert posn'), formatting=True) ) s.add( setting.Distance('keyLength', '1cm', descr = _('Length of line to show in sample'), usertext=_('Key length'), formatting=True) ) s.add( setting.AlignVert( 'keyAlign', 'top', descr = _('Alignment of key symbols relative to text'), usertext = _('Key alignment'), formatting = True) ) s.add( setting.Float( 'horzManual', 0., descr = _('Manual horizontal fractional position'), usertext=_('Horz manual'), formatting=True) ) s.add( setting.Float( 'vertManual', 0., descr = _('Manual vertical fractional position'), usertext=_('Vert manual'), formatting=True) ) s.add( setting.Float( 'marginSize', 1., minval = 0., descr = _('Width of margin in characters'), usertext=_('Margin size'), formatting=True) ) s.add( setting.Int( 'columns', 1, descr = _('Number of columns in key'), usertext = _('Columns'), minval = 1, maxval = 100, formatting = True) ) s.add( setting.Bool( 'symbolswap', False, descr=_('Put key symbol on right and text on left'), usertext=_('Swap symbol'), formatting=True) ) @classmethod def allowedParentTypes(klass): from . import graph return (graph.Graph,) @staticmethod def _layoutChunk(entries, start, dims): """Layout the entries into the given box, starting at start""" row, col = start numrows, numcols = dims colstats = [0] * numcols layout = [] for (plotter, num, lines) in entries: if row+lines > numrows: # this item doesn't fit in this column, so move to the next col += 1 row = 0 if col >= numcols: # this layout failed, suggest expanding the box by 1 row return ([], [], numrows+1) if lines > numrows: # this layout failed, suggest expanding the box to |lines| return ([], [], lines) # col -> yp, row -> xp layout.append( (plotter, num, col, row, lines) ) row += lines colstats[col] += 1 return (layout, colstats, numrows) def _layout(self, entries, totallines): """Layout the items, trying to keep the box as small as possible while still filling the columns""" maxcols = self.settings.columns numcols = min(maxcols, max(len(entries), 1)) if not entries: return (list(), (0, 0)) # start with evenly-sized rows and expand to fit numrows = totallines // numcols layout = [] while not layout: # try to do a first cut of the layout, and expand the box until # everything fits (layout, colstats, newrows) = self._layoutChunk(entries, (0, 0), (numrows, numcols)) if not layout: numrows = newrows # ok, we've got a layout where everything fits, now pull items right # to fill the remaining columns, if need be while colstats[-1] == 0: # shift 1 item to the right, up to the first column that has # excess items meanoccupation = max(1, sum(colstats)/numcols) # loop until we find a victim item which can be safely moved victimcol = numcols while True: # find the right-most column with excess occupation number for i in reversed(crange(victimcol)): if colstats[i] > meanoccupation: victimcol = i break # find the last item in the victim column victim = 0 for i in reversed(crange(len(layout))): if layout[i][2] == victimcol: victim = i break # try to relayout with the victim item shoved to the next column (newlayout, newcolstats, newrows) = self._layoutChunk(entries[victim:], (0, victimcol+1), (numrows, numcols)) if newlayout: # the relayout worked, so accept it layout = layout[0:victim] + newlayout colstats[victimcol] -= 1 del colstats[victimcol+1:] colstats += newcolstats[victimcol+1:] break # if we've run out of potential victims, just return what we have if victimcol == 0: return (layout, (numrows, numcols)) return (layout, (numrows, numcols)) def draw(self, parentposn, phelper, outerbounds = None): """Plot the key on a plotter.""" s = self.settings if s.hide: return painter = phelper.painter(self, parentposn) with painter: self._doDrawing(painter, phelper, parentposn) def _doDrawing(self, painter, phelper, parentposn): """Do the actual drawing.""" s = self.settings font = s.get('Text').makeQFont(painter) painter.setFont(font) height = utils.FontMetrics(font, painter.device()).height() margin = s.marginSize * height showtext = not s.Text.hide # total number of layout lines required totallines = 0 # reserve space for the title titlewidth, titleheight = 0, 0 if s.title != '': titlefont = qt4.QFont(font) titlefont.setPointSize(max(font.pointSize() * 1.2, font.pointSize() + 2)) titlewidth, titleheight = utils.Renderer(painter, titlefont, 0, 0, s.title).getDimensions() titleheight += 0.5*margin # maximum width of text required maxwidth = 1 entries = [] # iterate over children and find widgets which are suitable for c in self.parent.children: try: num = c.getNumberKeys() except AttributeError: continue if not c.settings.hide: # add an entry for each key entry for each widget for i in crange(num): lines = 1 if showtext: w, h = utils.Renderer(painter, font, 0, 0, c.getKeyText(i)).getDimensions() maxwidth = max(maxwidth, w) lines = max(1, math.ceil(h/height)) totallines += lines entries.append( (c, i, lines) ) # layout the box layout, (numrows, numcols) = self._layout(entries, totallines) # width of key part of key symbolwidth = s.get('keyLength').convert(painter) keyswidth = ( (maxwidth + height + symbolwidth)*numcols + height*(numcols-1) ) # total width of box totalwidth = max(keyswidth, titlewidth) totalheight = numrows * height + titleheight if not s.Border.hide: totalwidth += 2*margin totalheight += margin # work out horizontal position h = s.horzPosn if h == 'left': x = parentposn[0] + height elif h == 'right': x = parentposn[2] - height - totalwidth elif h == 'centre': x = ( parentposn[0] + 0.5*(parentposn[2] - parentposn[0] - totalwidth) ) elif h == 'manual': x = parentposn[0] + (parentposn[2]-parentposn[0])*s.horzManual # work out vertical position v = s.vertPosn if v == 'top': y = parentposn[1] + height elif v == 'bottom': y = parentposn[3] - totalheight - height elif v == 'centre': y = ( parentposn[1] + 0.5*(parentposn[3] - parentposn[1] - totalheight) ) elif v == 'manual': y = ( parentposn[3] - (parentposn[3]-parentposn[1])*s.vertManual - totalheight ) # for controlgraph boxposn = (x, y) boxdims = (totalwidth, totalheight) # draw surrounding box boxpath = qt4.QPainterPath() boxpath.addRect(qt4.QRectF(x, y, totalwidth, totalheight)) if not s.Background.hide: utils.brushExtFillPath(painter, s.Background, boxpath) if not s.Border.hide: painter.strokePath(boxpath, s.get('Border').makeQPen(painter) ) y += margin*0.5 # center and draw the title if s.title: xpos = x + (totalwidth-titlewidth)/2 utils.Renderer(painter, titlefont, xpos, y, s.title, alignvert=1).render() y += titleheight # centres key below title x += (totalwidth-keyswidth)/2 textpen = s.get('Text').makeQPen() swap = s.symbolswap # plot dataset entries for (plotter, num, xp, yp, lines) in layout: xpos = x + xp*(maxwidth+2*height+symbolwidth) ypos = y + yp*height # plot key symbol painter.save() keyoffset = 0 if s.keyAlign == 'centre': keyoffset = (lines-1)*height/2.0 elif s.keyAlign == 'bottom': keyoffset = (lines-1)*height sx = xpos if swap: sx += maxwidth + height plotter.drawKeySymbol(num, painter, sx, ypos+keyoffset, symbolwidth, height) painter.restore() # write key text if showtext: painter.setPen(textpen) if swap: lx = xpos + maxwidth alignx = 1 else: lx = xpos + height + symbolwidth alignx = -1 utils.Renderer(painter, font, lx, ypos, plotter.getKeyText(num), alignx, 1).render() phelper.setControlGraph( self, [ControlKey(self, parentposn, boxposn, boxdims, height)] ) document.thefactory.register( Key ) veusz-1.21.1/veusz/widgets/__init__.py0000664000175000017500000000346512237406466016107 0ustar jssjss# Copyright (C) 2004 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """Widgets are defined in this module.""" from .widget import Widget, Action from .axis import Axis from .axisbroken import AxisBroken from .axisfunction import AxisFunction from .graph import Graph from .grid import Grid from .plotters import GenericPlotter, FreePlotter from .pickable import PickInfo from .point import PointPlotter from .function import FunctionPlotter from .textlabel import TextLabel from .page import Page from .root import Root from .key import Key from .fit import Fit from .image import Image from .contour import Contour from .colorbar import ColorBar from .shape import Shape, BoxShape, Rectangle, Ellipse, ImageFile from .line import Line from .bar import BarPlotter from .polygon import Polygon from .vectorfield import VectorField from .boxplot import BoxPlot from .polar import Polar from .ternary import Ternary from .nonorthpoint import NonOrthPoint from .nonorthfunction import NonOrthFunction veusz-1.21.1/veusz/widgets/line.py0000664000175000017500000003003112237406466015264 0ustar jssjss# Copyright (C) 2008 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### """Plotting a line with arrowheads or labels.""" from __future__ import division import math import itertools import numpy as N from ..compat import czip from .. import qtall as qt4 from .. import setting from .. import document from .. import utils from . import controlgraph from . import plotters def _(text, disambiguation=None, context='Line'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class Line(plotters.FreePlotter): """A line on the plot/graph.""" typename='line' description=_('Line or arrow') allowusercreation = True def __init__(self, parent, name=None): """Construct plotter.""" plotters.FreePlotter.__init__(self, parent, name=name) if type(self) == Line: self.readDefaults() @classmethod def addSettings(klass, s): """Construct list of settings.""" plotters.FreePlotter.addSettings(s) s.add( setting.ChoiceSwitch( 'mode', ('length-angle', 'point-to-point'), 'length-angle', descr=_('Provide line position and length,angle or ' 'first and second points'), usertext=_('Mode'), formatting=False, showfn = lambda val: val == 'length-angle', settingstrue = ('length', 'angle'), settingsfalse = ('xPos2', 'yPos2'), ), 0) s.add( setting.DatasetExtended( 'length', [0.2], descr=_('List of fractional lengths, dataset or expression'), usertext=_('Lengths'), formatting=False), 4 ) s.add( setting.DatasetExtended( 'angle', [0.], descr=_('List of angle of lines, dataset or expression ' '(degrees)'), usertext=_('Angles'), formatting=False), 5 ) s.add( setting.DatasetExtended( 'xPos2', [1.], descr=_('List of fractional X coordinates, dataset or ' 'expression for point 2'), usertext=_('X positions 2'), formatting=False), 6 ) s.add( setting.DatasetExtended( 'yPos2', [1.], descr=_('List of fractional Y coordinates, dataset or ' 'expression for point 2'), usertext=_('Y positions 2'), formatting=False), 7 ) s.add( setting.Bool('clip', False, descr=_('Clip line to its container'), usertext=_('Clip'), formatting=True), 0 ) s.add( setting.Line('Line', descr = _('Line style'), usertext = _('Line')), pixmap = 'settings_plotline' ) s.add( setting.ArrowFill('Fill', descr = _('Arrow fill settings'), usertext = _('Arrow fill')), pixmap = 'settings_plotmarkerfill' ) s.add( setting.DistancePt('arrowSize', '5pt', descr = _('Size of arrow to plot'), usertext=_('Arrow size'), formatting=True), 0) s.add( setting.Arrow('arrowright', 'none', descr = _('Arrow to plot on right side'), usertext=_('Arrow right'), formatting=True), 0) s.add( setting.Arrow('arrowleft', 'none', descr = _('Arrow to plot on left side'), usertext=_('Arrow left'), formatting=True), 0) def _computeLinesLengthAngle(self, posn, lengthscaling): """Return set of lines to plot for length-angle.""" s = self.settings d = self.document # translate coordinates from axes or relative values xpos, ypos = self._getPlotterCoords(posn) # get lengths and angles of lines length = s.get('length').getFloatArray(d) angle = s.get('angle').getFloatArray(d) if None in (xpos, ypos, length, angle): return None length *= lengthscaling maxlen = max( len(xpos), len(ypos), len(length), len(angle) ) if maxlen > 1: if len(xpos) == 1: xpos = itertools.cycle(xpos) if len(ypos) == 1: ypos = itertools.cycle(ypos) if len(length) == 1: length = itertools.cycle(length) if len(angle) == 1: angle = itertools.cycle(angle) out = [] for v in czip(xpos, ypos, length, angle): # skip lines which have nans if N.all( N.isfinite(v) ): out.append(v) return out def _computeLinesPointToPoint(self, posn): """Return set of lines for point to point.""" # translate coordinates from axes or relative values xpos, ypos = self._getPlotterCoords(posn) xpos2, ypos2 = self._getPlotterCoords(posn, xsetting='xPos2', ysetting='yPos2') if None in (xpos, ypos, xpos2, ypos2): return None maxlen = max( len(xpos), len(ypos), len(xpos2), len(ypos2) ) if maxlen > 1: if len(xpos) == 1: xpos = itertools.cycle(xpos) if len(ypos) == 1: ypos = itertools.cycle(ypos) if len(xpos2) == 1: xpos2 = itertools.cycle(xpos2) if len(ypos2) == 1: ypos2 = itertools.cycle(ypos2) out = [] for v in czip(xpos, ypos, xpos2, ypos2): # skip nans again if N.all( N.isfinite(v) ): length = math.sqrt( (v[0]-v[2])**2 + (v[1]-v[3])**2 ) angle = math.atan2( v[3]-v[1], v[2]-v[0] ) / math.pi * 180. out.append( (v[0], v[1], length, angle) ) return out def draw(self, posn, phelper, outerbounds = None): """Plot the key on a plotter.""" s = self.settings d = self.document if s.hide: return # if a dataset is used, we can't use control items isnotdataset = ( not s.get('xPos').isDataset(d) and not s.get('yPos').isDataset(d) ) if s.mode == 'length-angle': isnotdataset = ( isnotdataset and not s.get('length').isDataset(d) and not s.get('angle').isDataset(d) ) else: isnotdataset = ( isnotdataset and not s.get('xPos2').isDataset(d) and not s.get('yPos2').isDataset(d) ) # now do the drawing clip = None if s.clip: clip = qt4.QRectF( qt4.QPointF(posn[0], posn[1]), qt4.QPointF(posn[2], posn[3]) ) painter = phelper.painter(self, posn, clip=clip) with painter: # adjustable positions for the lines arrowsize = s.get('arrowSize').convert(painter) # drawing settings for line if not s.Line.hide: painter.setPen( s.get('Line').makeQPen(painter) ) else: painter.setPen( qt4.QPen(qt4.Qt.NoPen) ) # settings for fill if not s.Fill.hide: painter.setBrush( s.get('Fill').makeQBrush() ) else: painter.setBrush( qt4.QBrush() ) # iterate over positions scaling = posn[2]-posn[0] if s.mode == 'length-angle': lines = self._computeLinesLengthAngle(posn, scaling) else: lines = self._computeLinesPointToPoint(posn) if lines is None: return controlgraphitems = [] for index, (x, y, l, a) in enumerate(lines): utils.plotLineArrow(painter, x, y, l, a, arrowsize=arrowsize, arrowleft=s.arrowleft, arrowright=s.arrowright) if isnotdataset: cgi = controlgraph.ControlLine( self, x, y, x + l*math.cos(a/180.*math.pi), y + l*math.sin(a/180.*math.pi)) cgi.index = index cgi.widgetposn = posn controlgraphitems.append(cgi) phelper.setControlGraph(self, controlgraphitems) def updateControlItem(self, cgi, pt1, pt2): """If control items are moved, update line.""" s = self.settings # calculate new position coordinate for item xpos, ypos = self._getGraphCoords( cgi.widgetposn, [pt1[0], pt1[0]+1], [pt1[1], pt1[1]+1]) if xpos is None or ypos is None: return x, y = list(s.xPos), list(s.yPos) idx = min(cgi.index, len(x)-1) if not N.allclose(x[idx], xpos[0]): x[idx] = utils.round2delt(xpos[0], xpos[1]) idx = min(cgi.index, len(y)-1) if not N.allclose(y[idx], ypos[0]): y[idx] = utils.round2delt(ypos[0], ypos[1]) operations = [ document.OperationSettingSet(s.get('xPos'), x), document.OperationSettingSet(s.get('yPos'), y), ] if s.mode == 'length-angle': # convert 2nd point to length, angle def la(ptx, pty): length = ( math.sqrt( (ptx-pt1[0])**2 + (pty-pt1[1])**2 ) / (cgi.widgetposn[2]-cgi.widgetposn[0]) ) angle = ( (math.atan2( pty-pt1[1], ptx-pt1[0] ) * 180. / math.pi) % 360. ) return length, angle length, angle = la(pt2[0], pt2[1]) # calculate length angle for neighbouring point, to get delta ldelt, adelt = la(pt2[0]+1, pt2[1]+1) # update values l, a = list(s.length), list(s.angle) idx = min(cgi.index, len(l)-1) if abs(l[idx]-length) > 1e-8: l[idx] = utils.round2delt(length, ldelt) idx = min(cgi.index, len(a)-1) if abs(a[idx]-angle) > 1e-8: a[idx] = utils.round2delt(angle, adelt) operations += [ document.OperationSettingSet(s.get('length'), l), document.OperationSettingSet(s.get('angle'), a), ] else: xpos2, ypos2 = self._getGraphCoords( cgi.widgetposn, [pt2[0], pt2[0]+1], [pt2[1], pt2[1]+1]) if xpos2 is not None and ypos2 is not None: x2, y2 = list(s.xPos2), list(s.yPos2) idx = min(cgi.index, len(x2)-1) if not N.allclose(x2[idx], xpos2[0]): x2[idx] = utils.round2delt(xpos2[0], xpos2[1]) idx = min(cgi.index, len(y2)-1) if not N.allclose(y2[idx], ypos2[0]): y2[idx] = utils.round2delt(ypos2[0], ypos2[1]) operations += [ document.OperationSettingSet(s.get('xPos2'), x2), document.OperationSettingSet(s.get('yPos2'), y2) ] self.document.applyOperation( document.OperationMultiple(operations, descr=_('adjust lines')) ) document.thefactory.register( Line ) veusz-1.21.1/veusz/widgets/nonorthgraph.py0000664000175000017500000001443712237406466017062 0ustar jssjss# Copyright (C) 2010 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """Non orthogonal graph root.""" from __future__ import division from . import controlgraph from .widget import Widget from .. import qtall as qt4 from .. import setting filloptions = ('center', 'outside', 'top', 'bottom', 'left', 'right', 'polygon') def _(text, disambiguation=None, context='NonOrthGraph'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class FillBrush(setting.BrushExtended): '''Brush for filling point region.''' def __init__(self, *args, **argsv): setting.BrushExtended.__init__(self, *args, **argsv) self.add( setting.Choice('filltype', filloptions, 'center', descr=_('Fill to this edge/position'), usertext=_('Fill type')) ) self.get('hide').newDefault(True) class NonOrthGraph(Widget): '''Non-orthogonal graph base widget.''' @classmethod def addSettings(klass, s): '''Construct list of settings.''' Widget.addSettings(s) s.add( setting.Distance( 'leftMargin', '1.7cm', descr=_('Distance from left of graph to edge'), usertext=_('Left margin'), formatting=True) ) s.add( setting.Distance( 'rightMargin', '0.2cm', descr=_('Distance from right of graph to edge'), usertext=_('Right margin'), formatting=True) ) s.add( setting.Distance( 'topMargin', '0.2cm', descr=_('Distance from top of graph to edge'), usertext=_('Top margin'), formatting=True) ) s.add( setting.Distance( 'bottomMargin', '1.7cm', descr=_('Distance from bottom of graph to edge'), usertext=_('Bottom margin'), formatting=True) ) s.add( setting.GraphBrush( 'Background', descr = _('Background plot fill'), usertext=_('Background')), pixmap='settings_bgfill' ) s.add( setting.Line('Border', descr = _('Graph border line'), usertext=_('Border')), pixmap='settings_border') @classmethod def allowedParentTypes(klass): from . import page, grid return (page.Page, grid.Grid) def graphToPlotCoords(self, coorda, coordb): '''Convert graph to plotting coordinates. Returns (plta, pltb) coordinates ''' def coordRanges(self): '''Return coordinate ranges of plot. This is in the form [[mina, maxa], [minb, maxb]].''' def drawFillPts(self, painter, extfill, bounds, ptsx, ptsy): '''Draw set of points for filling. extfill: extended fill brush bounds: usual tuple (minx, miny, maxx, maxy) ptsx, ptsy: translated plotter coordinates ''' def drawGraph(self, painter, bounds, datarange, outerbounds=None): '''Plot graph area. datarange is [mina, maxa, minb, maxb] or None ''' def drawAxes(self, painter, bounds, datarange, outerbounds=None): '''Plot axes. datarange is [mina, maxa, minb, maxb] or None ''' def setClip(self, painter, bounds): '''Set clipping for graph.''' def getDataRange(self): """Get automatic data range. Return None if no data.""" drange = [1e199, -1e199, 1e199, -1e199] for c in self.children: if hasattr(c, 'updateDataRanges'): c.updateDataRanges(drange) # no data if drange[0] > drange[1] or drange[2] > drange[3]: drange = None return drange def getMargins(self, painthelper): """Use settings to compute margins.""" s = self.settings return ( s.get('leftMargin').convert(painthelper), s.get('topMargin').convert(painthelper), s.get('rightMargin').convert(painthelper), s.get('bottomMargin').convert(painthelper) ) def draw(self, parentposn, phelper, outerbounds=None): '''Update the margins before drawing.''' s = self.settings bounds = self.computeBounds(parentposn, phelper) maxbounds = self.computeBounds(parentposn, phelper, withmargin=False) # do no painting if hidden if s.hide: return bounds painter = phelper.painter(self, bounds) with painter: # plot graph datarange = self.getDataRange() self.drawGraph(painter, bounds, datarange, outerbounds=outerbounds) self.drawAxes(painter, bounds, datarange, outerbounds=outerbounds) # paint children for c in reversed(self.children): c.draw(bounds, phelper, outerbounds=outerbounds) # controls for adjusting margins phelper.setControlGraph(self, [ controlgraph.ControlMarginBox(self, bounds, maxbounds, phelper)]) return bounds def updateControlItem(self, cgi): """Graph resized or moved - call helper routine to move self.""" cgi.setWidgetMargins() veusz-1.21.1/veusz/widgets/widget.py0000664000175000017500000003056612237406466015635 0ustar jssjss# widget.py # fundamental graph plotting widget # Copyright (C) 2004 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## from __future__ import division import itertools from ..compat import czip, crepr from .. import document from .. import setting from .. import qtall as qt4 def _(text, disambiguation=None, context='Widget'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class Action(object): """A class to wrap functions operating on widgets. Attributes: name: name of action function: function to call with no arguments descr: description of action usertext: name of action to display to user """ def __init__(self, name, function, descr='', usertext=''): """Initialise Action Name of action is name Calls function function() on invocation Action has description descr Usertext is short form of name to display to user.""" self.name = name self.function = function self.descr = descr self.usertext = usertext class Widget(object): """ Fundamental plotting widget interface.""" # differentiate widgets, settings and setting nodetype = 'widget' typename = 'generic' allowusercreation = False isaxis = False isplotter = False def __init__(self, parent, name=None): """Initialise a blank widget.""" # save parent widget for later self.parent = parent self.document = None if not self.isAllowedParent(parent): raise RuntimeError("Widget parent is of incorrect type") if name is None: name = self.chooseName() self.name = name # propagate document if parent is not None: self.document = parent.document parent.addChild(self) # store child widgets self.children = [] # settings for widget self.settings = setting.Settings( 'Widget_' + self.typename, setnsmode='widgetsettings' ) self.settings.parent = self self.addSettings(self.settings) # actions for widget self.actions = [] @classmethod def allowedParentTypes(klass): """Get types of widgets this can be a child of.""" return () @classmethod def addSettings(klass, s): """Add items to settings s.""" s.add( setting.Bool('hide', False, descr = _('Hide object'), usertext = _('Hide'), formatting = True) ) def isWidget(self): """Is this object a widget?""" return True def getDocument(self): """Return document. Unfortunately we need this as document is shadowed in StyleSheet, sigh.""" return self.document def rename(self, name): """Change name of self.""" if self.parent is None: raise ValueError('Cannot rename root widget') if name.find('/') != -1: raise ValueError('Names cannot contain "/"') # check whether name already exists in siblings for i in self.parent.children: if i != self and i.name == name: raise ValueError('New name "%s" already exists' % name) self.name = name def addDefaultSubWidgets(self): '''Add default sub widgets to widget, if any''' pass def addAction(self, action): """Assign name to operation. action is action class above """ self.actions.append( action ) def getAction(self, name): """Get action associated with name.""" for a in self.actions: if a.name == name: return a return None def isAllowedParent(self, parent): """Is the parent a suitable type?""" return parent is None or any( ( isinstance(parent, t) for t in self.allowedParentTypes() ) ) def willAllowParent(cls, parent): """Is the parent of an allowed type to have this type as a child?""" # allow base widget to have no parent ap = cls.allowedParentTypes() if parent is None and len(ap) > 0 and ap[0] is None: return True for p in ap: if isinstance(parent, p): return True return False willAllowParent = classmethod(willAllowParent) def addChild(self, child, index=9999999): """Add child to list. index is a position to place the new child """ self.children.insert(index, child) def createUniqueName(self, prefix): """Create a name using the prefix which hasn't been used before.""" names = self.childnames i = 1 while "%s%i" % (prefix, i) in names: i += 1 return "%s%i" % (prefix, i) def chooseName(self): """Make a name for widget if not specified.""" if self.parent is None: return '/' else: return self.parent.createUniqueName(self.typename) @property def userdescription(self): """Return a user-friendly description of what this is (e.g. function).""" return '' def prefLookup(self, name): """Get the value of a preference in the form foo/bar/baz""" if len(name) > 0 and name[0] == '/': obj = self.document.basewidget name = name[1:] else: obj = self parts = name.split('/') noparts = len(parts) # this could be recursive, but why bother # loop while we iterate through the family i = 0 while i < noparts and obj.hasChild( parts[i] ): obj = obj.getChild( parts[i] ) i += 1 if i == noparts: raise ValueError("Specified a widget, not a setting") else: return obj.settings.getFromPath( parts[i:] ) def getChild(self, name): """Return a child with a name.""" for i in self.children: if i.name == name: return i return None def hasChild(self, name): """Return whether there is a child with a name.""" return self.getChild(name) is not None @property def childnames(self): """Return the child names.""" return [i.name for i in self.children] def removeChild(self, name): """Remove a child.""" i = 0 nc = len(self.children) while i < nc and self.children[i].name != name: i += 1 if i < nc: self.children.pop(i) else: raise ValueError("Cannot remove graph '%s' - does not exist" % name) def widgetSiblingIndex(self): """Get index of widget in its siblings.""" if self.parent is None: return 0 else: return self.parent.children.index(self) @property def path(self): """Returns a path for the object, e.g. /plot1/x.""" obj = self build = '' while obj.parent is not None: build = '/' + obj.name + build obj = obj.parent if len(build) == 0: build = '/' return build def getMargins(self, painthelper): """Return margins of widget.""" return (0., 0., 0., 0.) def computeBounds(self, parentposn, painthelper, withmargin=True): """Compute a bounds array, giving the bounding box for the widget.""" if withmargin: x1, y1, x2, y2 = parentposn dx1, dy1, dx2, dy2 = self.getMargins(painthelper) return [ x1+dx1, y1+dy1, x2-dx2, y2-dy2 ] else: return parentposn def draw(self, parentposn, painthelper, outerbounds = None): """Draw the widget and its children in posn (a tuple with x1,y1,x2,y2). painter is the widget.Painter to draw on outerbounds contains "ultimate" bounds we don't go outside """ bounds = self.computeBounds(parentposn, painthelper) if not self.settings.hide: # iterate over children in reverse order for c in reversed(self.children): c.draw(bounds, painthelper, outerbounds=outerbounds) # return our final bounds return bounds def getSaveText(self, saveall = False): """Return text to restore object If saveall is true, save everything, including defaults.""" # set everything first text = self.settings.saveText(saveall) # now go throught the subwidgets for c in self.children: text += ( "Add('%s', name=%s, autoadd=False)\n" % (c.typename, crepr(c.name)) ) # if we need to go to the child, go there ctext = c.getSaveText(saveall) if ctext != '': text += ("To(%s)\n" "%s" "To('..')\n") % (crepr(c.name), ctext) return text def readDefaults(self): """Read the default settings. Also set settings to stylesheet """ self.settings.readDefaults('', self.name) self.settings.linkToStylesheet() def buildFlatWidgetList(self, thelist): """Return a built up list of the widgets in the tree.""" thelist.append(self) for child in self.children: child.buildFlatWidgetList(thelist) def _recursiveBuildSlots(self, slots): """Build up a flat representation of the places where widgets can be placed The list consists of (parent, index) tuples """ slots.append( (self, 0) ) for child, index in czip(self.children, itertools.count(1)): child._recursiveBuildSlots(slots) slots.append( (self, index) ) def moveChild(self, w, direction): """Move the child widget w up in the hierarchy in the direction. direction is -1 for 'up' or +1 for 'down' Returns True if succeeded """ # find position of child in self c = self.children oldindex = c.index(w) # remove the widget from its current location c.pop(oldindex) # build a list of places widgets can be placed (slots) slots = [] self.document.basewidget._recursiveBuildSlots(slots) # find self list - must be a better way to do this - # probably doesn't matter too much, however ourslot = (self, oldindex) ourindex = 0 while ourindex < len(slots) and slots[ourindex] != ourslot: ourindex += 1 # should never happen assert ourindex < len(slots) # move up or down the list until we find a suitable parent ourindex += direction while ( ourindex >= 0 and ourindex < len(slots) and not w.isAllowedParent(slots[ourindex][0]) ): ourindex += direction # we failed to find a new parent if ourindex < 0 or ourindex >= len(slots): c.insert(oldindex, w) return False else: newparent, newindex = slots[ourindex] existingname = w.name in newparent.childnames newparent.children.insert(newindex, w) w.parent = newparent # require a new name because of a clash if existingname: w.name = w.chooseName() return True def updateControlItem(self, controlitem, pos): """Update the widget's control point. controlitem is the control item in question.""" pass # allow the factory to instantiate a generic widget document.thefactory.register( Widget ) veusz-1.21.1/veusz/widgets/ternary.py0000664000175000017500000005023612244156023016017 0ustar jssjss# -*- coding: utf-8 -*- # Copyright (C) 2011 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """Ternary plot widget.""" from __future__ import division import numpy as N import math from ..compat import czip from .nonorthgraph import NonOrthGraph from .axisticks import AxisTicks from .axis import MajorTick, MinorTick, GridLine, MinorGridLine, AxisLabel, \ TickLabel from .. import qtall as qt4 from .. import document from .. import setting from .. import utils def _(text, disambiguation=None, context='Ternary'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) def rotatePts(x, y, theta): '''Rotate points by theta degrees.''' s = math.sin(theta*math.pi/180.) c = math.cos(theta*math.pi/180.) return x*c-y*s, x*s+y*c # translate coordinates a,b,c from user to plot # user can select different coordinate systems coord_lookup = { 'bottom-left': (0, 1, 2), 'bottom-right': (0, 2, 1), 'left-bottom': (1, 0, 2), 'left-right': (2, 0, 1), 'right-bottom': (1, 2, 0), 'right-left': (2, 1, 0) } # useful trigonometric identities sin30 = 0.5 sin60 = cos30 = 0.86602540378 tan30 = 0.5773502691 class Ternary(NonOrthGraph): '''Ternary plotter.''' typename='ternary' allowusercreation = True description = _('Ternary graph') def __init__(self, parent, name=None): '''Initialise ternary plot.''' NonOrthGraph.__init__(self, parent, name=name) if type(self) == NonOrthGraph: self.readDefaults() @classmethod def addSettings(klass, s): '''Construct list of settings.''' NonOrthGraph.addSettings(s) s.add( setting.Choice('mode', ('percentage', 'fraction'), 'percentage', descr=_('Show percentages or fractions'), usertext=_('Mode')) ) s.add( setting.Choice('coords', ('bottom-left', 'bottom-right', 'left-bottom', 'left-right', 'right-left', 'right-bottom'), 'bottom-left', descr=_('Axes to use for plotting coordinates'), usertext=_('Coord system')) ) s.add( setting.Str('labelbottom', '', descr=_('Bottom axis label text'), usertext=_('Label bottom')) ) s.add( setting.Str('labelleft', '', descr=_('Left axis label text'), usertext=_('Label left')) ) s.add( setting.Str('labelright', '', descr=_('Right axis label text'), usertext=_('Label right')) ) s.add( setting.Float('originleft', 0., descr=_('Fractional origin of left axis at its top'), usertext=_('Left origin')) ) s.add( setting.Float('originbottom', 0., descr=_('Fractional origin of bottom axis at its left'), usertext=_('Bottom origin')) ) s.add( setting.Float('fracsize', 1., descr=_('Fractional size of plot'), usertext=_('Size')) ) s.add( setting.Bool('reverse', False, descr=_('Reverse axes'), usertext=_('Reverse')) ) s.add( AxisLabel('Label', descr = _('Axis label settings'), usertext = _('Axis label')), pixmap='settings_axislabel' ) s.add( TickLabel('TickLabels', descr = _('Tick label settings'), usertext = _('Tick labels')), pixmap='settings_axisticklabels' ) s.add( MajorTick('MajorTicks', descr = _('Major tick line settings'), usertext = _('Major ticks')), pixmap='settings_axismajorticks' ) s.add( MinorTick('MinorTicks', descr = _('Minor tick line settings'), usertext = _('Minor ticks')), pixmap='settings_axisminorticks' ) s.add( GridLine('GridLines', descr = _('Grid line settings'), usertext = _('Grid lines')), pixmap='settings_axisgridlines' ) s.add( MinorGridLine('MinorGridLines', descr = _('Minor grid line settings'), usertext = _('Grid lines for minor ticks')), pixmap='settings_axisminorgridlines' ) s.get('leftMargin').newDefault('1cm') s.get('rightMargin').newDefault('1cm') s.get('topMargin').newDefault('1cm') s.get('bottomMargin').newDefault('1cm') s.MajorTicks.get('number').newDefault(10) s.MinorTicks.get('number').newDefault(50) s.GridLines.get('hide').newDefault(False) s.TickLabels.remove('rotate') @property def userdescription(self): return _("mode='%s'") % self.settings.mode def _maxVal(self): '''Get maximum value on axis.''' if self.settings.mode == 'percentage': return 100. else: return 1. def coordRanges(self): '''Get ranges of coordinates.''' mv = self._maxVal() # ranges for each coordinate ra = [self._orgbot*mv, (self._orgbot+self._size)*mv] rb = [self._orgleft*mv, (self._orgleft+self._size)*mv] rc = [self._orgright*mv, (self._orgright+self._size)*mv] ranges = [ra, rb, rc] lookup = coord_lookup[self.settings.coords] return ranges[lookup.index(0)], ranges[lookup.index(1)] def graphToPlotCoords(self, coorda, coordb): '''Convert coordinates in r, theta to x, y.''' s = self.settings # normalize coordinates maxval = self._maxVal() coordan = coorda / maxval coordbn = coordb / maxval # the three coordinates on the plot clist = [coordan, coordbn, 1.-coordan-coordbn] # select the right coordinates for a, b and c given the system # requested by the user # normalise by origins and plot size lookup = coord_lookup[s.coords] cbot = ( clist[ lookup[0] ] - self._orgbot ) / self._size cleft = ( clist[ lookup[1] ] - self._orgleft ) / self._size cright = ( clist[ lookup[2] ] - self._orgright ) / self._size # from Ingram, 1984, Area, 16, 175 # remember that y goes in the opposite direction here if s.reverse: cleft, cright = cright, cleft x = (1-(0.5*cright + cbot))*self._width + self._box[0] else: x = (0.5*cright + cbot)*self._width + self._box[0] y = self._box[3] - cright * sin60 * self._width return x, y def drawFillPts(self, painter, brushext, cliprect, ptsx, ptsy): '''Draw points for plotting a fill.''' pts = qt4.QPolygonF() utils.addNumpyToPolygonF(pts, ptsx, ptsy) filltype = brushext.filltype # this is broken: FIXME if filltype == 'left': dyend = ptsy[-1]-self._box[1] pts.append( qt4.QPointF(ptsx[-1]-dyend*tan30, self._box[1]) ) dystart = ptsy[0]-self._box[1] pts.append( qt4.QPointF(ptsx[0]-dystart*tan30, self._box[1]) ) elif filltype == 'right': pts.append( qt4.QPointF(self._box[2], ptsy[-1]) ) pts.append( qt4.QPointF(self._box[2], ptsy[0]) ) elif filltype == 'bottom': dyend = self._box[3]-ptsy[-1] pts.append( qt4.QPointF(ptsx[-1]-dyend*tan30, self._box[3]) ) dystart = self._box[3]-ptsy[0] pts.append( qt4.QPointF(ptsx[0]-dystart*tan30, self._box[3]) ) elif filltype == 'polygon': pass else: pts = None if pts is not None: utils.brushExtFillPolygon(painter, brushext, cliprect, pts) def drawGraph(self, painter, bounds, datarange, outerbounds=None): '''Plot graph area and axes.''' s = self.settings xw, yw = bounds[2]-bounds[0], bounds[3]-bounds[1] d60 = 60./180.*math.pi ang = math.atan2(yw, xw/2.) if ang > d60: # taller than wider widthh = xw/2 height = math.tan(d60) * widthh else: # wider than taller height = yw widthh = height / math.tan(d60) # box for equilateral triangle self._box = ( (bounds[2]+bounds[0])/2 - widthh, (bounds[1]+bounds[3])/2 - height/2, (bounds[2]+bounds[0])/2 + widthh, (bounds[1]+bounds[3])/2 + height/2 ) self._width = widthh*2 self._height = height # triangle shaped polygon for graph self._tripoly = p = qt4.QPolygonF() p.append( qt4.QPointF(self._box[0], self._box[3]) ) p.append( qt4.QPointF(self._box[0]+widthh, self._box[1]) ) p.append( qt4.QPointF(self._box[2], self._box[3]) ) path = qt4.QPainterPath() path.addPolygon(p) path.closeSubpath() utils.brushExtFillPath(painter, s.Background, path, stroke=s.Border.makeQPenWHide(painter)) # work out origins and size self._size = max(min(s.fracsize, 1.), 0.) # make sure we don't go past the ends of the allowed range # value of origin of left axis at top self._orgleft = min(s.originleft, 1.-self._size) # value of origin of bottom axis at left self._orgbot = min(s.originbottom, 1.-self._size) # origin of right axis at bottom self._orgright = 1. - self._orgleft - (self._orgbot + self._size) def _computeTickVals(self): """Compute tick values.""" s = self.settings # this is a hack as we lose ends off the axis otherwise d = 1e-6 # get ticks along left axis atickleft = AxisTicks(self._orgleft-d, self._orgleft+self._size+d, s.MajorTicks.number, s.MinorTicks.number, extendmin=False, extendmax=False) atickleft.getTicks() # use the interval from above to calculate ticks for right atickright = AxisTicks(self._orgright-d, self._orgright+self._size+d, s.MajorTicks.number, s.MinorTicks.number, extendmin=False, extendmax=False, forceinterval = atickleft.interval) atickright.getTicks() # then calculate for bottom atickbot = AxisTicks(self._orgbot-d, self._orgbot+self._size+d, s.MajorTicks.number, s.MinorTicks.number, extendmin=False, extendmax=False, forceinterval = atickleft.interval) atickbot.getTicks() return atickbot, atickleft, atickright def setClip(self, painter, bounds): '''Set clipping for graph.''' p = qt4.QPainterPath() p.addPolygon( self._tripoly ) painter.setClipPath(p) def _getLabels(self, ticks, autoformat): """Return tick labels.""" labels = [] tl = self.settings.TickLabels format = tl.format scale = tl.scale if format.lower() == 'auto': format = autoformat for v in ticks: l = utils.formatNumber(v*scale, format, locale=self.document.locale) labels.append(l) if self.settings.reverse: labels = labels[::-1] return labels def _drawTickSet(self, painter, tickSetn, gridSetn, tickbot, tickleft, tickright, tickLabelSetn=None, labelSetn=None): '''Draw a set of ticks (major or minor). tickSetn: tick setting to get line details gridSetn: setting for grid line (if any) tickXXX: tick arrays for each axis tickLabelSetn: setting used to label ticks, or None if minor ticks labelSetn: setting for labels, if any ''' # this is mostly a lot of annoying trigonometry # compute line ends for ticks and grid lines tl = tickSetn.get('length').convert(painter) mv = self._maxVal() reverse = bool(self.settings.reverse) revsign = [1, -1][reverse] # bottom ticks x1 = (tickbot - self._orgbot)/self._size*self._width + self._box[0] y1 = self._box[3] + N.zeros(x1.shape) x2 = x1 - revsign * tl * sin30 y2 = y1 + tl * cos30 tickbotline = (x1, y1, x2, y2) # bottom grid (removing lines at edge of plot) scaletick = 1 - (tickbot-self._orgbot)/self._size gx = x1 + scaletick*self._width*sin30 gy = y1 - scaletick*self._width*cos30 ne = (scaletick > 1e-6) & (scaletick < (1-1e-6)) gridbotline = (x1[ne], y1[ne], gx[ne], gy[ne]) # left ticks x1 = -(tickleft - self._orgleft)/self._size*self._width*sin30 + ( self._box[0] + self._box[2])*0.5 y1 = (tickleft - self._orgleft)/self._size*self._width*cos30 + self._box[1] if reverse: x2 = x1 - tl y2 = y1 else: x2 = x1 - tl * sin30 y2 = y1 - tl * cos30 tickleftline = (x1, y1, x2, y2) # left grid scaletick = 1 - (tickleft-self._orgleft)/self._size gx = x1 + scaletick*self._width*sin30 gy = self._box[3] + N.zeros(y1.shape) ne = (scaletick > 1e-6) & (scaletick < (1-1e-6)) gridleftline = (x1[ne], y1[ne], gx[ne], gy[ne]) # right ticks x1 = -(tickright - self._orgright)/self._size*self._width*sin30+self._box[2] y1 = -(tickright - self._orgright)/self._size*self._width*cos30+self._box[3] if reverse: x2 = x1 + tl * sin30 y2 = y1 - tl * cos30 else: x2 = x1 + tl y2 = y1 tickrightline = (x1, y1, x2, y2) # right grid scaletick = 1 - (tickright-self._orgright)/self._size gx = x1 - scaletick*self._width gy = y1 gridrightline = (x1[ne], y1[ne], gx[ne], gy[ne]) if not gridSetn.hide: # draw the grid pen = gridSetn.makeQPen(painter) painter.setPen(pen) utils.plotLinesToPainter(painter, *gridbotline) utils.plotLinesToPainter(painter, *gridleftline) utils.plotLinesToPainter(painter, *gridrightline) # calculate deltas for ticks bdelta = ldelta = rdelta = 0 if not tickSetn.hide: # draw ticks themselves pen = tickSetn.makeQPen(painter) pen.setCapStyle(qt4.Qt.FlatCap) painter.setPen(pen) utils.plotLinesToPainter(painter, *tickbotline) utils.plotLinesToPainter(painter, *tickleftline) utils.plotLinesToPainter(painter, *tickrightline) ldelta += tl*sin30 bdelta += tl*cos30 rdelta += tl if tickLabelSetn is not None and not tickLabelSetn.hide: # compute the labels for the ticks tleftlabels = self._getLabels(tickleft*mv, '%Vg') trightlabels = self._getLabels(tickright*mv, '%Vg') tbotlabels = self._getLabels(tickbot*mv, '%Vg') painter.setPen( tickLabelSetn.makeQPen() ) font = tickLabelSetn.makeQFont(painter) painter.setFont(font) fm = utils.FontMetrics(font, painter.device()) sp = fm.leading() + fm.descent() off = tickLabelSetn.get('offset').convert(painter) # draw tick labels in each direction hlabbot = wlableft = wlabright = 0 for l, x, y in czip(tbotlabels, tickbotline[2], tickbotline[3]+off): r = utils.Renderer(painter, font, x, y, l, 0, 1, 0) bounds = r.render() hlabbot = max(hlabbot, bounds[3]-bounds[1]) for l, x, y in czip(tleftlabels, tickleftline[2]-off-sp, tickleftline[3]): r = utils.Renderer(painter, font, x, y, l, 1, 0, 0) bounds = r.render() wlableft = max(wlableft, bounds[2]-bounds[0]) for l, x, y in czip(trightlabels,tickrightline[2]+off+sp, tickrightline[3]): r = utils.Renderer(painter, font, x, y, l, -1, 0, 0) bounds = r.render() wlabright = max(wlabright, bounds[2]-bounds[0]) bdelta += hlabbot+off+sp ldelta += wlableft+off+sp rdelta += wlabright+off+sp if labelSetn is not None and not labelSetn.hide: # draw label on edges (if requested) painter.setPen( labelSetn.makeQPen() ) font = labelSetn.makeQFont(painter) painter.setFont(font) fm = utils.FontMetrics(font, painter.device()) sp = fm.leading() + fm.descent() off = labelSetn.get('offset').convert(painter) # alignment align = {'at-minimum': -1, 'centre': 0, 'at-maximum': 1}[ labelSetn.position] aoffset = {'at-minimum': -self._width/2, 'centre': 0, 'at-maximum': self._width/2}[labelSetn.position] # bottom label r = utils.Renderer(painter, font, 0, 0, self.settings.labelbottom, align, 1) painter.save() painter.translate(self._box[0]+self._width/2, self._box[3] + bdelta + off) painter.translate(aoffset, 0) r.render() painter.restore() # left label - rotate frame before drawing so we can get # the bounds correct r = utils.Renderer(painter, font, 0, -sp, self.settings.labelleft, -align, -1) painter.save() painter.translate(self._box[0]+self._width*0.25, 0.5*(self._box[1]+self._box[3])) painter.rotate(-60) painter.translate(-aoffset, -ldelta - off) r.render() painter.restore() # right label r = utils.Renderer(painter, font, 0, -sp, self.settings.labelright, -align, -1) painter.save() painter.translate(self._box[0]+self._width*0.75 , 0.5*(self._box[1]+self._box[3]) ) painter.rotate(60) painter.translate(-aoffset, -ldelta - off) r.render() painter.restore() def drawAxes(self, painter, bounds, datarange, outerbounds=None): '''Draw plot axes.''' s = self.settings # compute tick values for later when plotting axes tbot, tleft, tright = self._computeTickVals() # draw the major ticks self._drawTickSet(painter, s.MajorTicks, s.GridLines, tbot.tickvals, tleft.tickvals, tright.tickvals, tickLabelSetn=s.TickLabels, labelSetn=s.Label) # now draw the minor ones self._drawTickSet(painter, s.MinorTicks, s.MinorGridLines, tbot.minorticks, tleft.minorticks, tright.minorticks) document.thefactory.register(Ternary) veusz-1.21.1/veusz/widgets/axis.py0000644000175000017500000013037412346113260015276 0ustar jssjss# Copyright (C) 2003 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """Widget to plot axes, and to handle conversion of coordinates to plot positions.""" from __future__ import division import numpy as N from ..compat import czip from .. import qtall as qt4 from .. import document from .. import setting from .. import utils from . import widget from . import axisticks from . import controlgraph ############################################################################### def _(text, disambiguation=None, context='Axis'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class MajorTick(setting.Line): '''Major tick settings.''' def __init__(self, name, **args): setting.Line.__init__(self, name, **args) self.add( setting.DistancePt( 'length', '6pt', descr = _('Length of major ticks'), usertext= _('Length') ) ) self.add( setting.Int( 'number', 6, descr = _('Number of major ticks to aim for'), usertext= _('Number') ) ) self.add( setting.FloatList('manualTicks', [], descr = _('List of tick values' ' overriding defaults'), usertext= _('Manual ticks') ) ) def getLength(self, painter): '''Return tick length in painter coordinates''' return self.get('length').convert(painter) class MinorTick(setting.Line): '''Minor tick settings.''' def __init__(self, name, **args): setting.Line.__init__(self, name, **args) self.add( setting.DistancePt( 'length', '3pt', descr = _('Length of minor ticks'), usertext= _('Length')) ) self.add( setting.Int( 'number', 20, descr = _('Number of minor ticks to aim for'), usertext= _('Number') ) ) def getLength(self, painter): '''Return tick length in painter coordinates''' return self.get('length').convert(painter) class GridLine(setting.Line): '''Grid line settings.''' def __init__(self, name, **args): setting.Line.__init__(self, name, **args) self.get('color').newDefault( 'grey' ) self.get('hide').newDefault( True ) self.get('style').newDefault( 'dotted' ) self.add( setting.Bool( 'onTop', False, descr = _('Put grid lines on top of graph'), usertext = _('On top') ) ) class MinorGridLine(setting.Line): '''Minor tick grid line settings.''' def __init__(self, name, **args): setting.Line.__init__(self, name, **args) self.get('color').newDefault( 'lightgrey' ) self.get('hide').newDefault( True ) self.get('style').newDefault( 'dotted' ) class AxisLabel(setting.Text): """For axis labels.""" def __init__(self, name, **args): setting.Text.__init__(self, name, **args) self.add( setting.Bool( 'atEdge', False, descr = _('Place axis label close to edge' ' of graph'), usertext= _('At edge') ) ) self.add( setting.RotateInterval( 'rotate', '0', descr = 'Angle by which to rotate label by', usertext='Rotate') ) self.add( setting.DistancePt( 'offset', '0pt', descr = _('Additional offset of axis label' ' from axis tick labels'), usertext= _('Label offset') ) ) self.add( setting.Choice( 'position', ('at-minimum', 'centre', 'at-maximum'), 'centre', descr = _('Position of axis label'), usertext = _('Position') ) ) class TickLabel(setting.Text): """For tick labels on axes.""" formatchoices = ('Auto', '%Vg', '%Ve', '%VE', '%g', '%e', '%.2f') descriptions = ( _('Automatic'), _('General numerical format'), _('Scientific notation'), _('Engineering suffix notation'), _('C-style general format'), _('C-style scientific notation'), _('2 decimal places always shown') ) def __init__(self, name, **args): setting.Text.__init__(self, name, **args) self.add( setting.RotateInterval( 'rotate', '0', descr = _('Angle by which to rotate label by'), usertext= _('Rotate') ) ) self.add( setting.ChoiceOrMore( 'format', TickLabel.formatchoices, 'Auto', descr = _('Format of the tick labels'), descriptions=TickLabel.descriptions, usertext= _('Format') ) ) self.add( setting.Float('scale', 1., descr=_('A scale factor to apply to the values ' 'of the tick labels'), usertext=_('Scale') ) ) self.add( setting.DistancePt( 'offset', '0pt', descr = _('Additional offset of axis tick ' 'labels from axis'), usertext= _('Tick offset') ) ) ############################################################################### class Axis(widget.Widget): """Manages and draws an axis.""" typename = 'axis' allowusercreation = True description = 'Axis to a plot or shared in a grid' isaxis = True def __init__(self, parent, name=None): """Initialise axis.""" widget.Widget.__init__(self, parent, name=name) s = self.settings if type(self) == Axis: self.readDefaults() if self.name == 'y' and s.direction != 'vertical': s.direction = 'vertical' elif self.name == 'x' and s.direction != 'horizontal': s.direction = 'horizontal' # automatic range self.setAutoRange(None) # document updates change set variable when things need recalculating self.docchangeset = -1 self.currentbounds = [0,0,1,1] @classmethod def addSettings(klass, s): """Construct list of settings.""" widget.Widget.addSettings(s) s.add( setting.Str('label', '', descr=_('Axis label text'), usertext=_('Label')) ) s.add( setting.AxisBound('min', 'Auto', descr=_('Minimum value of axis'), usertext=_('Min')) ) s.add( setting.AxisBound('max', 'Auto', descr=_('Maximum value of axis'), usertext=_('Max')) ) s.add( setting.Bool('log', False, descr = _('Whether axis is logarithmic'), usertext=_('Log')) ) s.add( setting.Choice( 'autoRange', ('exact', 'next-tick', '+2%', '+5%', '+10%', '+15%'), 'next-tick', descr = _('If axis range not specified, use range of ' 'data and this setting'), descriptions = (_('Use exact data range'), _('Use data range, rounding up to tick marks'), _('Use data range, adding 2% of range'), _('Use data range, adding 5% of range'), _('Use data range, adding 10% of range'), _('Use data range, adding 15% of range'), ), formatting = True, usertext = _('Auto range') ) ) s.add( setting.Choice('mode', ('numeric', 'datetime', 'labels'), 'numeric', descr = _('Type of ticks to show on on axis'), usertext=_('Mode')) ) s.add( setting.SettingBackwardCompat( 'autoExtend', 'autoRange', True, translatefn = lambda x: ('exact', 'next-tick')[x], formatting=True ) ) # this setting no longer used s.add( setting.Bool('autoExtendZero', True, descr = _('Extend axis to zero if close (UNUSED)'), usertext=_('Zero extend'), hidden=True, formatting=True) ) s.add( setting.Bool('autoMirror', True, descr = _('Place axis on opposite side of graph ' 'if none'), usertext=_('Auto mirror'), formatting=True) ) s.add( setting.Bool('reflect', False, descr = _('Place axis text and ticks on other side' ' of axis'), usertext=_('Reflect'), formatting=True) ) s.add( setting.Bool('outerticks', False, descr = _('Place ticks on outside of graph'), usertext=_('Outer ticks'), formatting=True) ) s.add( setting.Float('datascale', 1., descr=_('Scale data plotted by this factor'), usertext=_('Scale')) ) s.add( setting.Choice('direction', ['horizontal', 'vertical'], 'horizontal', descr = _('Direction of axis'), usertext=_('Direction')) ) s.add( setting.Float('lowerPosition', 0., descr=_('Fractional position of lower end of ' 'axis on graph'), usertext=_('Min position')) ) s.add( setting.Float('upperPosition', 1., descr=_('Fractional position of upper end of ' 'axis on graph'), usertext=_('Max position')) ) s.add( setting.Float('otherPosition', 0., descr=_('Fractional position of axis ' 'in its perpendicular direction'), usertext=_('Axis position')) ) s.add( setting.WidgetPath('match', '', descr = _('Match the scale of this axis to the ' 'axis specified'), usertext=_('Match'), allowedwidgets = [Axis] )) s.add( setting.Line('Line', descr = _('Axis line settings'), usertext = _('Axis line')), pixmap='settings_axisline' ) s.add( AxisLabel('Label', descr = _('Axis label settings'), usertext = _('Axis label')), pixmap='settings_axislabel' ) s.add( TickLabel('TickLabels', descr = _('Tick label settings'), usertext = _('Tick labels')), pixmap='settings_axisticklabels' ) s.add( MajorTick('MajorTicks', descr = _('Major tick line settings'), usertext = _('Major ticks')), pixmap='settings_axismajorticks' ) s.add( MinorTick('MinorTicks', descr = _('Minor tick line settings'), usertext = _('Minor ticks')), pixmap='settings_axisminorticks' ) s.add( GridLine('GridLines', descr = _('Grid line settings'), usertext = _('Grid lines')), pixmap='settings_axisgridlines' ) s.add( MinorGridLine('MinorGridLines', descr = _('Minor grid line settings'), usertext = _('Grid lines for minor ticks')), pixmap='settings_axisminorgridlines' ) @classmethod def allowedParentTypes(klass): from . import graph, grid return (graph.Graph, grid.Grid) @property def userdescription(self): """User friendly description.""" s = self.settings return "range %s to %s%s" % ( str(s.min), str(s.max), ['',' (log)'][s.log]) def isLinked(self): """Whether is an axis linked to another.""" return False def getLinkedAxis(self): """Return axis linked to this one (or None).""" return None def setAutoRange(self, autorange): """Set the automatic range of this axis (called from page helper).""" if autorange: scale = self.settings.datascale self.autorange = ar = [x*scale for x in autorange] if self.settings.log: ar[0] = max(1e-99, ar[0]) else: if self.settings.log: self.autorange = [1e-2, 1.] else: self.autorange = [0., 1.] def usesAutoRange(self): """Return whether any of the bounds are automatically determined.""" return self.settings.min == 'Auto' or self.settings.max == 'Auto' def computePlottedRange(self, force=False, overriderange=None): """Convert the range requested into a plotted range.""" if self.docchangeset == self.document.changeset and not force: return s = self.settings if overriderange is None: self.plottedrange = [s.min, s.max] else: self.plottedrange = overriderange # match the scale of this axis to another matched = False if s.match != '': # locate widget we're matching # this is ensured to be an Axis try: widget = s.get('match').getReferredWidget() except utils.InvalidType: widget = None # this looks valid + sanity checks if (widget is not None and widget != self and widget.settings.match == ''): # update if out of date if widget.docchangeset != self.document.changeset: widget.computePlottedRange() # copy the range self.plottedrange = list(widget.plottedrange) matched = True # automatic lookup of minimum if not matched and overriderange is None: if s.min == 'Auto': self.plottedrange[0] = self.autorange[0] if s.max == 'Auto': self.plottedrange[1] = self.autorange[1] # yuck, but sometimes it's true # tweak range to make sure things don't blow up further down the # line if ( abs(self.plottedrange[0] - self.plottedrange[1]) < ( abs(self.plottedrange[0]) + abs(self.plottedrange[1]) )*1e-12 ): self.plottedrange[1] = ( self.plottedrange[0] + max(1., self.plottedrange[0]*0.1) ) # handle axis values round the wrong way invertaxis = self.plottedrange[0] > self.plottedrange[1] if invertaxis: self.plottedrange = self.plottedrange[::-1] # make sure log axes don't blow up if s.log: if self.plottedrange[0] < 1e-99: self.plottedrange[0] = 1e-99 if self.plottedrange[1] < 1e-99: self.plottedrange[1] = 1e-99 if self.plottedrange[0] == self.plottedrange[1]: self.plottedrange[1] = self.plottedrange[0]*2 r = s.autoRange if r == 'exact': pass elif r == 'next-tick': pass else: val = {'+2%': 0.02, '+5%': 0.05, '+10%': 0.1, '+15%': 0.15}[r] if s.log: # logarithmic logrng = abs( N.log(self.plottedrange[1]) - N.log(self.plottedrange[0]) ) if s.min == 'Auto': self.plottedrange[0] /= N.exp(logrng * val) if s.max == 'Auto': self.plottedrange[1] *= N.exp(logrng * val) else: # linear rng = self.plottedrange[1] - self.plottedrange[0] if s.min == 'Auto': self.plottedrange[0] -= rng*val if s.max == 'Auto': self.plottedrange[1] += rng*val self.computeTicks() # invert bounds if axis was inverted if invertaxis: self.plottedrange = self.plottedrange[::-1] self.docchangeset = self.document.changeset def computeTicks(self, allowauto=True): """Update ticks given plotted range. if allowauto is False, then do not allow ticks to be updated """ s = self.settings if s.mode in ('numeric', 'labels'): tickclass = axisticks.AxisTicks else: tickclass = axisticks.DateTicks nexttick = s.autoRange == 'next-tick' extendmin = nexttick and s.min == 'Auto' and allowauto extendmax = nexttick and s.max == 'Auto' and allowauto # create object to compute ticks axs = tickclass(self.plottedrange[0], self.plottedrange[1], s.MajorTicks.number, s.MinorTicks.number, extendmin = extendmin, extendmax = extendmax, logaxis = s.log ) axs.getTicks() self.plottedrange[0] = axs.minval self.plottedrange[1] = axs.maxval self.majortickscalc = axs.tickvals self.minortickscalc = axs.minorticks self.autoformat = axs.autoformat # override values if requested if len(s.MajorTicks.manualTicks) > 0: ticks = [] for i in s.MajorTicks.manualTicks: if i >= self.plottedrange[0] and i <= self.plottedrange[1]: ticks.append(i) self.majortickscalc = N.array(ticks) def getPlottedRange(self): """Return the range plotted by the axes.""" self.computePlottedRange() return (self.plottedrange[0], self.plottedrange[1]) def updateAxisLocation(self, bounds, otherposition=None, lowerupperposition=None): """Recalculate coordinates on plotter of axis. otherposition: override otherPosition setting lowerupperposition: set to tuple (lower, upper) to override lowerPosition and upperPosition settings """ s = self.settings if lowerupperposition is None: p1, p2 = s.lowerPosition, s.upperPosition else: p1, p2 = lowerupperposition if otherposition is None: otherposition = s.otherPosition x1, y1, x2, y2 = self.currentbounds = bounds dx = x2 - x1 dy = y2 - y1 if s.direction == 'horizontal': # horizontal self.coordParr1 = x1 + dx*p1 self.coordParr2 = x1 + dx*p2 # other axis coordinates self.coordPerp = y2 - dy*otherposition self.coordPerp1 = y1 self.coordPerp2 = y2 else: # vertical self.coordParr1 = y2 - dy*p1 self.coordParr2 = y2 - dy*p2 # other axis coordinates self.coordPerp = x1 + dx*otherposition self.coordPerp1 = x1 self.coordPerp2 = x2 # is this axis reflected if otherposition > 0.5: self.coordReflected = not s.reflect else: self.coordReflected = s.reflect def graphToPlotterCoords(self, bounds, vals): """Convert graph coordinates to plotter coordinates on this axis. bounds specifies the plot bounds vals is numpy of coordinates Returns positions as a numpy """ # if the doc was modified, recompute the range self.updateAxisLocation(bounds) return self._graphToPlotter(vals) def _graphToPlotter(self, vals): """Convert the coordinates assuming the machinery is in place.""" # work out fractional posistions, then convert to pixels if self.settings.log: fracposns = self.logConvertToPlotter(vals) else: fracposns = self.linearConvertToPlotter(vals) return self.coordParr1 + fracposns*(self.coordParr2-self.coordParr1) def dataToPlotterCoords(self, posn, data): """Convert data values to plotter coordinates, scaling if necessary.""" self.updateAxisLocation(posn) return self._graphToPlotter(data*self.settings.datascale) def plotterToGraphCoords(self, bounds, vals): """Convert plotter coordinates on this axis to graph coordinates. bounds specifies the plot bounds vals is a numpy of coordinates returns a numpy of floats """ self.updateAxisLocation( bounds ) # work out fractional positions of the plotter coords frac = ( (vals.astype(N.float64) - self.coordParr1) / (self.coordParr2 - self.coordParr1) ) # convert from fractional to graph if self.settings.log: return self.logConvertFromPlotter(frac) else: return self.linearConvertFromPlotter(frac) def plotterToDataCoords(self, bounds, vals): """Convert plotter coordinates to data, removing scaling.""" try: scale = 1./self.settings.datascale except ZeroDivisionError: scale = 0. return scale * self.plotterToGraphCoords(bounds, vals) def linearConvertToPlotter(self, v): """Convert graph coordinates to fractional plotter units for linear scale. """ return ( (v - self.plottedrange[0]) / (self.plottedrange[1] - self.plottedrange[0]) ) def linearConvertFromPlotter(self, v): """Convert from (fractional) plotter coords to graph coords. """ return ( self.plottedrange[0] + v * (self.plottedrange[1]-self.plottedrange[0]) ) def logConvertToPlotter(self, v): """Convert graph coordinates to fractional plotter units for log10 scale. """ log1 = N.log(self.plottedrange[0]) log2 = N.log(self.plottedrange[1]) return ( N.log( N.clip(v, 1e-99, 1e99) ) - log1 )/(log2 - log1) def logConvertFromPlotter(self, v): """Convert from fraction plotter coords to graph coords with log scale. """ return ( self.plottedrange[0] * ( self.plottedrange[1]/self.plottedrange[0] )**v ) def againstWhichEdge(self): """Returns edge this axis is against, if any. Returns 0-3,None for (left, top, right, bottom, None) """ s = self.settings op = abs(s.otherPosition) if op > 1e-3 and op < 0.999: return None else: if s.direction == 'vertical': if op <= 1e-3: return 0 else: return 2 else: if op <= 1e-3: return 3 else: return 1 def swapline(self, painter, a1, b1, a2, b2): """Draw line, but swap x & y coordinates if vertical axis.""" if self.settings.direction == 'horizontal': painter.drawLine(qt4.QPointF(a1, b1), qt4.QPointF(a2, b2)) else: painter.drawLine(qt4.QPointF(b1, a1), qt4.QPointF(b2, a2)) def swaplines(self, painter, a1, b1, a2, b2): """Multiline version of swapline where a1, b1, a2, b2 are arrays.""" if self.settings.direction == 'horizontal': a = (a1, b1, a2, b2) else: a = (b1, a1, b2, a2) utils.plotLinesToPainter(painter, a[0], a[1], a[2], a[3]) def _drawGridLines(self, subset, painter, coordticks, parentposn): """Draw grid lines on the plot.""" painter.setPen( self.settings.get(subset).makeQPen(painter) ) # drop points which overlap with graph box (if used) if self.parent.typename == 'graph': if not self.parent.settings.Border.hide: if self.settings.direction == 'horizontal': ok = ( (N.abs(coordticks-parentposn[0]) > 1e-3) & (N.abs(coordticks-parentposn[2]) > 1e-3) ) else: ok = ( (N.abs(coordticks-parentposn[1]) > 1e-3) & (N.abs(coordticks-parentposn[3]) > 1e-3) ) coordticks = coordticks[ok] self.swaplines(painter, coordticks, coordticks*0.+self.coordPerp1, coordticks, coordticks*0.+self.coordPerp2) def _drawAxisLine(self, painter): """Draw the line of the axis.""" pen = self.settings.get('Line').makeQPen(painter) pen.setCapStyle(qt4.Qt.FlatCap) painter.setPen(pen) self.swapline( painter, self.coordParr1, self.coordPerp, self.coordParr2, self.coordPerp ) def _drawMinorTicks(self, painter, coordminorticks): """Draw minor ticks on plot.""" s = self.settings mt = s.get('MinorTicks') pen = mt.makeQPen(painter) pen.setCapStyle(qt4.Qt.FlatCap) painter.setPen(pen) delta = mt.getLength(painter) if s.direction == 'vertical': delta *= -1 if self.coordReflected: delta *= -1 if s.outerticks: delta *= -1 y = coordminorticks*0.+self.coordPerp self.swaplines( painter, coordminorticks, y, coordminorticks, y-delta ) def _drawMajorTicks(self, painter, tickcoords): """Draw major ticks on the plot.""" s = self.settings mt = s.get('MajorTicks') pen = mt.makeQPen(painter) pen.setCapStyle(qt4.Qt.FlatCap) painter.setPen(pen) startdelta = mt.getLength(painter) delta = startdelta if s.direction == 'vertical': delta *= -1 if self.coordReflected: delta *= -1 if s.outerticks: delta *= -1 y = tickcoords*0.+self.coordPerp self.swaplines( painter, tickcoords, y, tickcoords, y-delta ) # account for ticks if they are in the direction of the label if s.outerticks and not self.coordReflected: self._delta_axis += abs(delta) def generateLabelLabels(self, phelper): """Generate list of positions and labels from widgets using this axis.""" try: plotters = phelper.axisplottermap[self] except (AttributeError, KeyError): return dir = self.settings.direction minval, maxval = self.plottedrange for plotter in plotters: # get label and label coordinates from plotter (if any) labels, coords = plotter.getAxisLabels(dir) if None not in (labels, coords): # convert coordinates to plotter coordinates pcoords = self._graphToPlotter(coords) for coord, pcoord, lab in czip(coords, pcoords, labels): # return labels that are within the plotted range # of coordinates if N.isfinite(coord) and (minval <= coord <= maxval): yield pcoord, lab def _drawTickLabels(self, phelper, painter, coordticks, sign, outerbounds, tickvals, texttorender): """Draw tick labels on the plot. texttorender is a list which contains text for the axis to render after checking for collisions """ s = self.settings vertical = s.direction == 'vertical' font = s.get('TickLabels').makeQFont(painter) painter.setFont(font) fm = utils.FontMetrics(font, painter.device()) tl_spacing = fm.leading() + fm.descent() # work out font alignment angle = int(s.TickLabels.rotate) if not self.coordReflected and angle != 0: angle = 360-angle if vertical: # limit tick labels to be directly below/besides axis ax, ay = 1, 0 else: ax, ay = 0, 1 if self.coordReflected: ax, ay = -ax, -ay # get information about text scales tl = s.get('TickLabels') scale = tl.scale pen = tl.makeQPen() # an extra offset if required self._delta_axis += tl.get('offset').convert(painter) def generateTickLabels(): """Return plotter position of labels and label text.""" # get format for labels format = s.TickLabels.format if format.lower() == 'auto': format = self.autoformat # generate positions and labels for posn, tickval in czip(coordticks, tickvals): text = utils.formatNumber(tickval*scale, format, locale=self.document.locale) yield posn, text # position of label perpendicular to axis perpposn = self.coordPerp + sign*(self._delta_axis+tl_spacing) # use generator function to get labels and positions if s.mode == 'labels': ticklabels = self.generateLabelLabels(phelper) else: ticklabels = generateTickLabels() # iterate over each label maxdim = 0 for parlposn, text in ticklabels: # x and y round other way if vertical if vertical: x, y = perpposn, parlposn else: x, y = parlposn, perpposn r = utils.Renderer(painter, font, x, y, text, alignhorz=ax, alignvert=ay, angle=angle) if outerbounds is not None: # make sure ticks are within plot if vertical: r.ensureInBox(miny=outerbounds[1], maxy=outerbounds[3], extraspace=True) else: r.ensureInBox(minx=outerbounds[0], maxx=outerbounds[2], extraspace=True) bnd = r.getBounds() texttorender.append( (r, pen) ) # keep track of maximum extent of label perpendicular to axis if vertical: maxdim = max(maxdim, bnd[2] - bnd[0]) else: maxdim = max(maxdim, bnd[3] - bnd[1]) # keep track of where we are self._delta_axis += 2*tl_spacing + maxdim def _drawAxisLabel(self, painter, sign, outerbounds, texttorender): """Draw an axis label on the plot. texttorender is a list which contains text for the axis to render after checking for collisions """ s = self.settings sl = s.Label label = s.get('Label') font = label.makeQFont(painter) painter.setFont(font) fm = utils.FontMetrics(font, painter.device()) al_spacing = fm.leading() + fm.descent() # an extra offset if required self._delta_axis += label.get('offset').convert(painter) text = s.label # avoid adding blank text to plot if not text: return horz = s.direction == 'horizontal' align1 = 1 align2 = {'centre': 0, 'at-minimum': -1, 'at-maximum': 1}[sl.position] if horz: ax, ay = align2, align1 else: ax, ay = align1, align2 reflected = self.coordReflected if reflected: if horz: ay = -ay else: ax = -ax # angle of text (logic is slightly complex) angle = int(sl.rotate) if horz: if not reflected: angle = 360-angle else: angle = angle+270 if reflected: angle = 360-angle angle = angle % 360 if sl.position == 'centre': x = 0.5*(self.coordParr1 + self.coordParr2) elif sl.position == 'at-minimum': x = self.coordParr1 else: x = self.coordParr2 y = self.coordPerp + sign*(self._delta_axis+al_spacing) if not horz: x, y = y, x # make axis label flush with edge of plot if # it's appropriate if outerbounds is not None and sl.atEdge: if abs(s.otherPosition) < 1e-4 and not reflected: if horz: y = outerbounds[3] ay = -ay else: x = outerbounds[0] ax = -ax elif abs(s.otherPosition-1.) < 1e-4 and reflected: if horz: y = outerbounds[1] ay = -ay else: x = outerbounds[2] ax = -ax r = utils.Renderer(painter, font, x, y, text, ax, ay, angle, usefullheight = True) # make sure text is in plot rectangle if outerbounds is not None: r.ensureInBox( minx=outerbounds[0], maxx=outerbounds[2], miny=outerbounds[1], maxy=outerbounds[3] ) texttorender.insert(0, (r, s.get('Label').makeQPen()) ) def _shouldAutoMirror(self): """Work out whether to do mirroring.""" # FIXME: This is a nasty hack: must think of a better way to do this s = self.settings countaxis = 0 for c in self.parent.children: try: # don't allow descendents of axis to look like an axis # to this function (e.g. colorbar) if c.isaxis and s.direction == c.settings.direction: countaxis += 1 except AttributeError: # if it's not an axis we get here pass return countaxis <= 1 def _autoMirrorDraw(self, posn, painter, coordticks, coordminorticks): """Mirror axis to opposite side of graph if there isn't an axis there already.""" # swap axis to other side s = self.settings if s.otherPosition < 0.5: otheredge = 1. else: otheredge = 0. # temporarily change position of axis to other side for drawing self.updateAxisLocation(posn, otherposition=otheredge) if not s.Line.hide: self._drawAxisLine(painter) if not s.MinorTicks.hide: self._drawMinorTicks(painter, coordminorticks) if not s.MajorTicks.hide: self._drawMajorTicks(painter, coordticks) def chooseName(self): """Get default name for axis. Make x and y axes, then axisN.""" try: widgets = set(self.parent.childnames) except AttributeError: widgets = set() for name in ('x', 'y'): if name not in widgets: return name return widget.Widget.chooseName(self) def _suppressText(self, painter, parentposn, outerbounds): """Whether to suppress drawing text on this axis because it is too close to the edge of its parent bounding box. If the edge of the plot is within textheight then suppress text """ if outerbounds is None: return False s = self.settings height = utils.FontMetrics( s.get('Label').makeQFont(painter), painter.device()).height() otherposition = s.otherPosition if s.direction == 'vertical': if ( ( otherposition < 0.01 and abs(parentposn[0]-outerbounds[0]) < height) or ( otherposition > 0.99 and abs(parentposn[2]-outerbounds[2]) < height) ): return True else: if ( ( otherposition < 0.01 and abs(parentposn[3]-outerbounds[3]) < height) or ( otherposition > 0.99 and abs(parentposn[1]-outerbounds[1]) < height) ): return True return False def drawGrid(self, parentposn, phelper, outerbounds=None, ontop=False): """Code to draw gridlines. This is separate from the main draw routine because the grid should be behind/infront the data points. """ s = self.settings if ( s.hide or (s.MinorGridLines.hide and s.GridLines.hide) or s.GridLines.onTop != bool(ontop) ): return # draw grid on a different layer, depending on whether on top or not layer = (-2, -1)[bool(ontop)] painter = phelper.painter(self, parentposn, layer=layer) self.updateAxisLocation(parentposn) with painter: painter.save() painter.setClipRect( qt4.QRectF( qt4.QPointF(parentposn[0], parentposn[1]), qt4.QPointF(parentposn[2], parentposn[3]) ) ) if not s.MinorGridLines.hide: coordminorticks = self._graphToPlotter(self.minortickscalc) self._drawGridLines('MinorGridLines', painter, coordminorticks, parentposn) if not s.GridLines.hide: coordticks = self._graphToPlotter(self.majortickscalc) self._drawGridLines('GridLines', painter, coordticks, parentposn) painter.restore() def draw(self, parentposn, phelper, outerbounds=None): """Plot the axis on the painter. """ posn = self.computeBounds(parentposn, phelper) self.updateAxisLocation(posn) # exit if axis is hidden if self.settings.hide: return self.computePlottedRange() painter = phelper.painter(self, posn) with painter: self._axisDraw(posn, parentposn, outerbounds, painter, phelper) def _drawTextWithoutOverlap(self, painter, texttorender): """Aall the text is drawn at the end so that we can check it doesn't overlap. texttorender is a list of (Renderer, QPen) tuples. """ overlaps = utils.RectangleOverlapTester() for r, pen in texttorender: rect = r.getTightBounds() if not overlaps.willOverlap(rect): painter.setPen(pen) r.render() overlaps.addRect(rect) # debug # poly = rect.makePolygon() # painter.drawPolygon(poly) def _axisDraw(self, posn, parentposn, outerbounds, painter, phelper): """Internal drawing routine.""" s = self.settings # make control item for axis phelper.setControlGraph(self, [ controlgraph.ControlAxisLine( self, s.direction, self.coordParr1, self.coordParr2, self.coordPerp, posn) ]) # get tick vals coordticks = self._graphToPlotter(self.majortickscalc) coordminorticks = self._graphToPlotter(self.minortickscalc) texttorender = [] # multiplication factor if reflection on the axis is requested sign = 1 if s.direction == 'vertical': sign *= -1 if self.coordReflected: sign *= -1 # plot the line along the axis if not s.Line.hide: self._drawAxisLine(painter) # plot minor ticks if not s.MinorTicks.hide: self._drawMinorTicks(painter, coordminorticks) # keep track of distance from axis self._delta_axis = 0 # plot major ticks if not s.MajorTicks.hide: self._drawMajorTicks(painter, coordticks) # plot tick labels suppresstext = self._suppressText(painter, parentposn, outerbounds) if not s.TickLabels.hide and not suppresstext: self._drawTickLabels(phelper, painter, coordticks, sign, outerbounds, self.majortickscalc, texttorender) # draw an axis label if not s.Label.hide and not suppresstext: self._drawAxisLabel(painter, sign, outerbounds, texttorender) # mirror axis at other side of plot if s.autoMirror and self._shouldAutoMirror(): self._autoMirrorDraw(posn, painter, coordticks, coordminorticks) self._drawTextWithoutOverlap(painter, texttorender) def updateControlItem(self, cgi): """Update axis position from control item.""" s = self.settings p = cgi.maxposn if cgi.zoomed(): # zoom axis scale # we convert a neighbouring pixel to see how we should # round the text c1, c2, c1delt, c2delt = self.plotterToGraphCoords( cgi.maxposn, N.array([cgi.minzoom, cgi.maxzoom, cgi.minzoom+1, cgi.maxzoom-1])) if c1 > c2: c1, c2 = c2, c1 c1delt, c2delt = c2delt, c1delt round1 = utils.round2delt(c1, c1delt) round2 = utils.round2delt(c2, c2delt) ops = [] if ( (s.min == 'Auto' or not N.allclose(c1, s.min, rtol=1e-8)) and N.isfinite(round1) ): ops.append( document.OperationSettingSet( s.get('min'), round1) ) if ( (s.max == 'Auto' or not N.allclose(c2, s.max, rtol=1e-8)) and N.isfinite(round2) ): ops.append( document.OperationSettingSet( s.get('max'), round2) ) self.document.applyOperation( document.OperationMultiple(ops, descr=_('zoom axis'))) elif cgi.moved(): # move axis # convert positions to fractions pt1, pt2, ppt1, ppt2 = ( (3, 1, 0, 2), (0, 2, 3, 1) ) [s.direction == 'horizontal'] minfrac = abs((cgi.minpos - p[pt1]) / (p[pt2] - p[pt1])) maxfrac = abs((cgi.maxpos - p[pt1]) / (p[pt2] - p[pt1])) axisfrac = abs((cgi.axispos - p[ppt1]) / (p[ppt2] - p[ppt1])) # swap if wrong way around if minfrac > maxfrac: minfrac, maxfrac = maxfrac, minfrac # update doc ops = [] if s.lowerPosition != minfrac: ops.append( document.OperationSettingSet( s.get('lowerPosition'), round(minfrac, 3)) ) if s.upperPosition != maxfrac: ops.append( document.OperationSettingSet( s.get('upperPosition'), round(maxfrac, 3)) ) if s.otherPosition != axisfrac: ops.append( document.OperationSettingSet( s.get('otherPosition'), round(axisfrac, 3)) ) self.document.applyOperation( document.OperationMultiple(ops, descr=_('adjust axis'))) # allow the factory to instantiate an axis document.thefactory.register( Axis ) veusz-1.21.1/veusz/widgets/image.py0000644000175000017500000002673712327177747015446 0ustar jssjss# Copyright (C) 2005 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### """Image plotting from 2d datasets.""" from __future__ import division from .. import qtall as qt4 import numpy as N from .. import setting from .. import document from .. import utils from . import plotters def _(text, disambiguation=None, context='Image'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) def cropLinearImageToBox(image, pltx, plty, posn): """Given a plotting range pltx[0]->pltx[1], plty[0]->plty[1] and plotting bounds posn, return an image which is cropped to posn. Returns: - updated pltx range - updated plty range - cropped image """ x1, y1, x2, y2 = posn pltx1, pltx2 = pltx pltw = pltx2-pltx1 plty2, plty1 = plty plth = plty2-plty1 imw = image.width() imh = image.height() pixw = pltw / imw pixh = plth / imh cutr = [0, 0, imw-1, imh-1] # work out where image intercepts posn, and make sure image # fills at least that area # need to chop left if pltx1 < x1: d = int((x1-pltx1) / pixw) cutr[0] += d pltx[0] += d*pixw # need to chop right if pltx2 > x2: d = max(0, int((pltx2-x2) / pixw) - 1) cutr[2] -= d pltx[1] -= d*pixw # chop top if plty1 < y1: d = int((y1-plty1) / pixh) cutr[1] += d plty[1] += d*pixh # chop bottom if plty2 > y2: d = max(0, int((plty2-y2) / pixh) - 1) cutr[3] -= d plty[0] -= d*pixh # create chopped-down image newimage = image.copy( cutr[0], cutr[1], cutr[2]-cutr[0]+1, cutr[3]-cutr[1]+1) # return new image coordinates and image return pltx, plty, newimage def cropGridImageToBox(image, gridx, gridy, posn): """Given an image, pixel coordinates and box, crop image to box.""" def trimGrid(grid, p1, p2): """Trim grid to bounds given, returning index range.""" if grid[0] < grid[-1]: # fwd order i1 = max(N.searchsorted(grid, p1, side='right')-1, 0) i2 = min(N.searchsorted(grid, p2, side='left'), len(grid)) + 1 else: # reverse order of grid gridr = grid[::-1] i1 = max( len(grid) - N.searchsorted(gridr, p2, side='left')-1, 0) i2 = min( len(grid) - N.searchsorted(gridr, p1, side='right'), len(grid) ) + 1 return i1, i2 def trimEdge(grid, minval, maxval): """Trim outer gridpoints to minval and maxval.""" if grid[0] < grid[-1]: grid[0] = max(grid[0], minval) grid[-1] = min(grid[-1], maxval) else: grid[0] = min(grid[0], maxval) grid[-1] = max(grid[-1], minval) # see whether cropping necessary x1, x2 = trimGrid(gridx, posn[0], posn[2]) y1, y2 = trimGrid(gridy, posn[1], posn[3]) if x1 > 0 or y1 > 0 or x2 < len(gridx)-1 or y2 < len(gridy)-1: # do cropping image = image.copy(x1, len(gridy)-y2, x2-x1-1, y2-y1-1) gridx = N.array(gridx[x1:x2]) gridy = N.array(gridy[y1:y2]) # trim outer grid point to viewable range trimEdge(gridx, posn[0], posn[2]) trimEdge(gridy, posn[1], posn[3]) return gridx, gridy, image class Image(plotters.GenericPlotter): """A class which plots an image on a graph with a specified coordinate system.""" typename='image' allowusercreation=True description=_('Plot a 2d dataset as an image') def __init__(self, parent, name=None): """Initialise plotter with axes.""" plotters.GenericPlotter.__init__(self, parent, name=name) if type(self) == Image: self.readDefaults() @classmethod def addSettings(klass, s): """Construct list of settings.""" plotters.GenericPlotter.addSettings(s) s.add( setting.DatasetExtended( 'data', '', dimensions = 2, descr = _('Dataset to plot'), usertext=_('Dataset')), 0 ) s.add( setting.FloatOrAuto( 'min', 'Auto', descr = _('Minimum value of image scale'), usertext=_('Min. value')), 1 ) s.add( setting.FloatOrAuto( 'max', 'Auto', descr = _('Maximum value of image scale'), usertext=_('Max. value')), 2 ) s.add( setting.Choice( 'colorScaling', ['linear', 'sqrt', 'log', 'squared'], 'linear', descr = _('Scaling to transform numbers to color'), usertext=_('Scaling')), 3 ) s.add( setting.DatasetExtended( 'transparencyData', '', dimensions = 2, descr = _('Dataset to use for transparency (0 to 1)'), usertext=_('Trans. data')), 4 ) s.add( setting.Colormap( 'colorMap', 'grey', descr = _('Set of colors to plot data with'), usertext=_('Colormap'), formatting=True), 5 ) s.add( setting.Bool( 'colorInvert', False, descr = _('Invert color map'), usertext=_('Invert colormap'), formatting=True), 6 ) s.add( setting.Int( 'transparency', 0, descr = _('Transparency percentage'), usertext = _('Transparency'), minval = 0, maxval = 100, formatting=True), 7 ) s.add( setting.Bool( 'smooth', False, descr = _('Smooth image to display resolution'), usertext = _('Smooth'), formatting = True ) ) @property def userdescription(self): """User friendly description.""" s = self.settings out = [] if s.data: out.append(s.data) out += [s.colorScaling, s.colorMap] return ', '.join(out) def getDataValueRange(self, data): """Update data range from data.""" s = self.settings minval = s.min if minval == 'Auto' and data is not None: minval = N.nanmin(data.data) maxval = s.max if maxval == 'Auto' and data is not None: maxval = N.nanmax(data.data) # this is used currently by colorbar objects return (minval, maxval) def affectsAxisRange(self): """Range information provided by widget.""" s = self.settings return ( (s.xAxis, 'sx'), (s.yAxis, 'sy') ) def getRange(self, axis, depname, axrange): """Automatically determine the ranges of variable on the axes.""" # this is copied from Image, probably should combine s = self.settings d = self.document # return if no data data = s.get('data').getData(d) if data is None or data.dimensions != 2: return xr, yr = data.getDataRanges() if depname == 'sx': axrange[0] = min( axrange[0], xr[0] ) axrange[1] = max( axrange[1], xr[1] ) elif depname == 'sy': axrange[0] = min( axrange[0], yr[0] ) axrange[1] = max( axrange[1], yr[1] ) def getColorbarParameters(self): """Return parameters for colorbar.""" s = self.settings d = self.document data = s.get('data').getData(d) minval, maxval = self.getDataValueRange(data) return (minval, maxval, s.colorScaling, s.colorMap, s.transparency, s.colorInvert) def dataDraw(self, painter, axes, posn, clip): """Draw image.""" s = self.settings d = self.document data = s.get('data').getData(d) if s.hide or data is None or data.dimensions != 2: return transimg = s.get('transparencyData').getData(d) if transimg is not None: transimg = transimg.data rangex, rangey = data.getDataRanges() pltrangex = axes[0].dataToPlotterCoords(posn, N.array(rangex)) pltrangey = axes[1].dataToPlotterCoords(posn, N.array(rangey)) # make QImage from data cmap = d.getColormap(s.colorMap, s.colorInvert) datavaluerange = self.getDataValueRange(data) image = utils.applyColorMap( cmap, s.colorScaling, data.data, datavaluerange[0], datavaluerange[1], s.transparency, transimg=transimg) if data.isLinearImage(): # linearly spaced grid if ( pltrangex[0] < posn[0] or pltrangex[1] > posn[2] or pltrangey[0] < posn[1] or pltrangey[1] > posn[3] ): # need to crop image pltrangex, pltrangey, image = cropLinearImageToBox( image, pltrangex, pltrangey, posn) else: # get pixel edges, converted to plotter coordinates xedgep, yedgep = data.getPixelEdges( scalefnx=lambda v: axes[0].dataToPlotterCoords(posn, v), scalefny=lambda v: axes[1].dataToPlotterCoords(posn, v)) # crop any pixels completely outside posn xedgep, yedgep, image = cropGridImageToBox( image, xedgep, yedgep, posn) # make image on linear grid image = utils.resampleLinearImage(image, xedgep, yedgep) pltrangex = xedgep[0], xedgep[-1] pltrangey = yedgep[0], yedgep[-1] # optionally smooth images before displaying if s.smooth: image = image.scaled( pltrangex[1]-pltrangex[0], pltrangey[0]-pltrangey[1], qt4.Qt.IgnoreAspectRatio, qt4.Qt.SmoothTransformation) # get position and size of output image xp, yp = pltrangex[0], pltrangey[1] xw = pltrangex[1]-pltrangex[0] yw = pltrangey[0]-pltrangey[1] # invert output drawing if axes go from positive->negative # we only translate the coordinate system if this is the case xscale = 1 if xw > 0 else -1 yscale = 1 if yw > 0 else -1 if xscale != 1 or yscale != 1: painter.save() painter.translate(xp, yp) xp = yp = 0 painter.scale(xscale, yscale) # draw image #image = image.copy(qt4.QRect(qt4.QPoint(0, 0), qt4.QPoint(20, 20))) painter.drawImage(qt4.QRectF(xp, yp, abs(xw), abs(yw)), image) # restore painter if image was inverted if xscale != 1 or yscale != 1: painter.restore() # allow the factory to instantiate an image document.thefactory.register(Image) veusz-1.21.1/veusz/widgets/controlgraph.py0000664000175000017500000006012412237406466017045 0ustar jssjss# Copyright (C) 2008 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """ Classes for moving widgets around Control items have a createGraphicsItem method which returns a graphics item to control the object """ from __future__ import division import math from ..compat import crange, czip from .. import qtall as qt4 from .. import document from .. import setting def _(text, disambiguation=None, context='controlgraph'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) ############################################################################## class _ShapeCorner(qt4.QGraphicsRectItem): """Representing the corners of the rectangle.""" def __init__(self, parent, rotator=False): qt4.QGraphicsRectItem.__init__(self, parent) if rotator: self.setBrush( qt4.QBrush(setting.settingdb.color('cntrlline')) ) self.setRect(-3, -3, 6, 6) else: self.setBrush(qt4.QBrush(setting.settingdb.color('cntrlcorner')) ) self.setRect(-5, -5, 10, 10) self.setPen(qt4.QPen(qt4.Qt.NoPen)) self.setFlag(qt4.QGraphicsItem.ItemIsMovable) self.setZValue(3.) def mouseMoveEvent(self, event): """Notify parent on move.""" qt4.QGraphicsRectItem.mouseMoveEvent(self, event) self.parentItem().updateFromCorner(self, event) def mouseReleaseEvent(self, event): """Notify parent on unclicking.""" qt4.QGraphicsRectItem.mouseReleaseEvent(self, event) self.parentItem().updateWidget() ############################################################################## def controlLinePen(): """Get pen for lines around shapes.""" return qt4.QPen(setting.settingdb.color('cntrlline'), 2, qt4.Qt.DotLine) class _EdgeLine(qt4.QGraphicsLineItem): """Line used for edges of resizing box.""" def __init__(self, parent, ismovable = True): qt4.QGraphicsLineItem.__init__(self, parent) self.setPen(controlLinePen()) self.setZValue(2.) if ismovable: self.setFlag(qt4.QGraphicsItem.ItemIsMovable) self.setCursor(qt4.Qt.SizeAllCursor) def mouseMoveEvent(self, event): """Notify parent on move.""" qt4.QGraphicsLineItem.mouseMoveEvent(self, event) self.parentItem().updateFromLine(self, self.pos()) def mouseReleaseEvent(self, event): """Notify parent on unclicking.""" qt4.QGraphicsLineItem.mouseReleaseEvent(self, event) self.parentItem().updateWidget() ############################################################################## class ControlMarginBox(object): def __init__(self, widget, posn, maxposn, painthelper, ismovable = True, isresizable = True): """Create control box item. widget: widget this is controllng posn: coordinates of box [x1, y1, x2, y2] maxposn: coordinates of biggest possibe box painthelper: painterhelper to get scaling from ismovable: box can be moved isresizable: box can be resized """ # save values self.posn = posn self.maxposn = maxposn self.widget = widget self.ismovable = ismovable self.isresizable = isresizable # we need these later to convert back to original units self.pagesize = painthelper.pagesize self.scaling = painthelper.scaling self.dpi = painthelper.dpi def createGraphicsItem(self): return _GraphMarginBox(self) def setWidgetMargins(self): """A helpful routine for setting widget margins after moving or resizing. This is called by the widget after receiving updateControlItem """ s = self.widget.settings # get margins in pixels left = self.posn[0] - self.maxposn[0] right = self.maxposn[2] - self.posn[2] top = self.posn[1] - self.maxposn[1] bottom = self.maxposn[3] - self.posn[3] # set up fake painthelper containing veusz scalings helper = document.PaintHelper(self.pagesize, scaling=self.scaling, dpi=self.dpi) # convert to physical units left = s.get('leftMargin').convertInverse(left, helper) right = s.get('rightMargin').convertInverse(right, helper) top = s.get('topMargin').convertInverse(top, helper) bottom = s.get('bottomMargin').convertInverse(bottom, helper) # modify widget margins operations = ( document.OperationSettingSet(s.get('leftMargin'), left), document.OperationSettingSet(s.get('rightMargin'), right), document.OperationSettingSet(s.get('topMargin'), top), document.OperationSettingSet(s.get('bottomMargin'), bottom) ) self.widget.document.applyOperation( document.OperationMultiple(operations, descr=_('resize margins'))) def setPageSize(self): """Helper for setting document/page widget size. This is called by the widget after receiving updateControlItem """ s = self.widget.settings # get margins in pixels width = self.posn[2] - self.posn[0] height = self.posn[3] - self.posn[1] # set up fake painter containing veusz scalings helper = document.PaintHelper(self.pagesize, scaling=self.scaling, dpi=self.dpi) # convert to physical units width = s.get('width').convertInverse(width, helper) height = s.get('height').convertInverse(height, helper) # modify widget margins operations = ( document.OperationSettingSet(s.get('width'), width), document.OperationSettingSet(s.get('height'), height), ) self.widget.document.applyOperation( document.OperationMultiple(operations, descr=_('change page size'))) class _GraphMarginBox(qt4.QGraphicsItem): """A box which can be moved or resized. Can automatically set margins or widget """ # posn coords of each corner mapcornertoposn = ( (0, 1), (2, 1), (0, 3), (2, 3) ) def __init__(self, params): """Create control box item.""" qt4.QGraphicsItem.__init__(self) self.params = params self.setZValue(2.) # create corners of box self.corners = [_ShapeCorner(self) for i in crange(4)] # lines connecting corners self.lines = [_EdgeLine(self, ismovable=params.ismovable) for i in crange(4)] # hide corners if box is not resizable if not params.isresizable: for c in self.corners: c.hide() self.updateCornerPosns() def updateCornerPosns(self): """Update all corners from updated box.""" par = self.params pos = par.posn # update cursors self.corners[0].setCursor(qt4.Qt.SizeFDiagCursor) self.corners[1].setCursor(qt4.Qt.SizeBDiagCursor) self.corners[2].setCursor(qt4.Qt.SizeBDiagCursor) self.corners[3].setCursor(qt4.Qt.SizeFDiagCursor) # trim box to maximum size pos[0] = max(pos[0], par.maxposn[0]) pos[1] = max(pos[1], par.maxposn[1]) pos[2] = min(pos[2], par.maxposn[2]) pos[3] = min(pos[3], par.maxposn[3]) # move corners for corner, (xindex, yindex) in czip(self.corners, self.mapcornertoposn): corner.setPos( qt4.QPointF( pos[xindex], pos[yindex] ) ) # move lines w, h = pos[2]-pos[0], pos[3]-pos[1] self.lines[0].setPos(pos[0], pos[1]) self.lines[0].setLine(0, 0, w, 0) self.lines[1].setPos(pos[2], pos[1]) self.lines[1].setLine(0, 0, 0, h) self.lines[2].setPos(pos[2], pos[3]) self.lines[2].setLine(0, 0, -w, 0) self.lines[3].setPos(pos[0], pos[3]) self.lines[3].setLine(0, 0, 0, -h) def updateFromLine(self, line, thispos): """Edge line of box was moved - update bounding box.""" par = self.params # need old coordinate to work out how far line has moved try: li = self.lines.index(line) except ValueError: return ox = par.posn[ (0, 2, 2, 0)[li] ] oy = par.posn[ (1, 1, 3, 3)[li] ] # add on deltas to box coordinates dx, dy = thispos.x()-ox, thispos.y()-oy # make sure box can't be moved outside the allowed region if dx > 0: dx = min(dx, par.maxposn[2]-par.posn[2]) else: dx = -min(abs(dx), abs(par.maxposn[0]-par.posn[0])) if dy > 0: dy = min(dy, par.maxposn[3]-par.posn[3]) else: dy = -min(abs(dy), abs(par.maxposn[1]-par.posn[1])) # move the box par.posn[0] += dx par.posn[1] += dy par.posn[2] += dx par.posn[3] += dy # update corner coords and other line coordinates self.updateCornerPosns() def updateFromCorner(self, corner, event): """Move corner of box to new position.""" try: index = self.corners.index(corner) except ValueError: return pos = self.params.posn pos[ self.mapcornertoposn[index][0] ] = corner.x() pos[ self.mapcornertoposn[index][1] ] = corner.y() # this is needed if the corners move past each other if pos[0] > pos[2]: # swap x pos[0], pos[2] = pos[2], pos[0] self.corners[0], self.corners[1] = self.corners[1], self.corners[0] self.corners[2], self.corners[3] = self.corners[3], self.corners[2] if pos[1] > pos[3]: # swap y pos[1], pos[3] = pos[3], pos[1] self.corners[0], self.corners[2] = self.corners[2], self.corners[0] self.corners[1], self.corners[3] = self.corners[3], self.corners[1] self.updateCornerPosns() def boundingRect(self): return qt4.QRectF(0, 0, 0, 0) def paint(self, painter, option, widget): """Intentionally empty painter.""" def updateWidget(self): """Update widget margins.""" self.params.widget.updateControlItem(self.params) ############################################################################## class ControlResizableBox(object): """Control a resizable box. Item resizes centred around a position """ def __init__(self, widget, posn, dims, angle, allowrotate=False): """Initialise with widget and boxbounds shape. Rotation is allowed if allowrotate is set """ self.widget = widget self.posn = posn self.dims = dims self.angle = angle self.allowrotate = allowrotate def createGraphicsItem(self): return _GraphResizableBox(self) class _GraphResizableBox(qt4.QGraphicsRectItem): """Control a resizable box. Item resizes centred around a position """ def __init__(self, params): """Initialise with widget and boxbounds shape. Rotation is allowed if allowrotate is set """ qt4.QGraphicsRectItem.__init__(self, params.posn[0], params.posn[1], params.dims[0], params.dims[1]) self.params = params self.rotate(params.angle) # initial setup self.setCursor(qt4.Qt.SizeAllCursor) self.setZValue(1.) self.setFlag(qt4.QGraphicsItem.ItemIsMovable) self.setPen(controlLinePen()) self.setBrush( qt4.QBrush() ) # create child graphicsitem for each corner self.corners = [_ShapeCorner(self) for i in crange(4)] self.corners[0].setCursor(qt4.Qt.SizeFDiagCursor) self.corners[1].setCursor(qt4.Qt.SizeBDiagCursor) self.corners[2].setCursor(qt4.Qt.SizeBDiagCursor) self.corners[3].setCursor(qt4.Qt.SizeFDiagCursor) # whether box is allowed to be rotated self.rotator = None if params.allowrotate: self.rotator = _ShapeCorner(self, rotator=True) self.rotator.setCursor(qt4.Qt.CrossCursor) self.updateCorners() self.rotator.setPos( 0, -abs(params.dims[1]*0.5) ) def updateFromCorner(self, corner, event): """Take position and update corners.""" par = self.params if corner in self.corners: # compute size from corner position par.dims[0] = abs(corner.pos().x()*2) par.dims[1] = abs(corner.pos().y()*2) elif corner == self.rotator: # work out angle relative to centre of widget delta = event.scenePos() - self.scenePos() angle = math.atan2( delta.y(), delta.x() ) # change to degrees from correct direction par.angle = (angle*(180/math.pi) + 90.) % 360 # apply rotation selfpt = self.pos() self.resetTransform() self.setPos(selfpt) self.rotate(par.angle) self.updateCorners() def updateCorners(self): """Update corners on size.""" par = self.params # update position and size self.setPos( par.posn[0], par.posn[1] ) self.setRect( -par.dims[0]*0.5, -par.dims[1]*0.5, par.dims[0], par.dims[1] ) # update corners self.corners[0].setPos(-par.dims[0]*0.5, -par.dims[1]*0.5) self.corners[1].setPos( par.dims[0]*0.5, -par.dims[1]*0.5) self.corners[2].setPos(-par.dims[0]*0.5, par.dims[1]*0.5) self.corners[3].setPos( par.dims[0]*0.5, par.dims[1]*0.5) if self.rotator: # set rotator position (constant distance) self.rotator.setPos( 0, -abs(par.dims[1]*0.5) ) def mouseReleaseEvent(self, event): """If the item has been moved, do and update.""" qt4.QGraphicsRectItem.mouseReleaseEvent(self, event) self.updateWidget() def mouseMoveEvent(self, event): """Keep track of movement.""" qt4.QGraphicsRectItem.mouseMoveEvent(self, event) self.params.posn = [self.pos().x(), self.pos().y()] def updateWidget(self): """Tell the user the graphicsitem has been moved or resized.""" self.params.widget.updateControlItem(self.params) ############################################################################## class ControlMovableBox(ControlMarginBox): """Item for user display for controlling widget. This is a dotted movable box with an optional "cross" where the real position of the widget is """ def __init__(self, widget, posn, painthelper, crosspos=None): ControlMarginBox.__init__(self, widget, posn, [-10000, -10000, 10000, 10000], painthelper, isresizable=False) self.deltacrosspos = (crosspos[0] - self.posn[0], crosspos[1] - self.posn[1]) def createGraphicsItem(self): return _GraphMovableBox(self) class _GraphMovableBox(_GraphMarginBox): def __init__(self, params): _GraphMarginBox.__init__(self, params) self.cross = _ShapeCorner(self) self.cross.setCursor(qt4.Qt.SizeAllCursor) self.updateCornerPosns() def updateCornerPosns(self): _GraphMarginBox.updateCornerPosns(self) par = self.params if hasattr(self, 'cross'): # this fails if called before self.cross is initialised! self.cross.setPos( par.deltacrosspos[0] + par.posn[0], par.deltacrosspos[1] + par.posn[1] ) def updateFromCorner(self, corner, event): if corner == self.cross: # if cross moves, move whole box par = self.params cx, cy = self.cross.pos().x(), self.cross.pos().y() dx = cx - (par.deltacrosspos[0] + par.posn[0]) dy = cy - (par.deltacrosspos[1] + par.posn[1]) par.posn[0] += dx par.posn[1] += dy par.posn[2] += dx par.posn[3] += dy self.updateCornerPosns() else: _GraphMarginBox.updateFromCorner(self, corner, event) ############################################################################## class ControlLine(object): """For controlling the position and ends of a line.""" def __init__(self, widget, x1, y1, x2, y2): self.widget = widget self.line = x1, y1, x2, y2 def createGraphicsItem(self): return _GraphLine(self) class _GraphLine(qt4.QGraphicsLineItem): """Represents the line as a graphics item.""" def __init__(self, params): qt4.QGraphicsLineItem.__init__(self, *params.line) self.params = params self.setCursor(qt4.Qt.SizeAllCursor) self.setFlag(qt4.QGraphicsItem.ItemIsMovable) self.setZValue(1.) self.setPen(controlLinePen()) self.pts = [_ShapeCorner(self, rotator=True), _ShapeCorner(self, rotator=True)] self.pts[0].setPos(params.line[0], params.line[1]) self.pts[1].setPos(params.line[2], params.line[3]) self.pts[0].setCursor(qt4.Qt.CrossCursor) self.pts[1].setCursor(qt4.Qt.CrossCursor) def updateFromCorner(self, corner, event): """Take position and update ends of line.""" line = (self.pts[0].x(), self.pts[0].y(), self.pts[1].x(), self.pts[1].y()) self.setLine(*line) def mouseReleaseEvent(self, event): """If widget has moved, tell it.""" qt4.QGraphicsItem.mouseReleaseEvent(self, event) self.updateWidget() def updateWidget(self): """Update caller with position and line positions.""" pt1 = ( self.pts[0].x() + self.pos().x(), self.pts[0].y() + self.pos().y() ) pt2 = ( self.pts[1].x() + self.pos().x(), self.pts[1].y() + self.pos().y() ) self.params.widget.updateControlItem(self.params, pt1, pt2) ############################################################################# class _AxisGraphicsLineItem(qt4.QGraphicsLineItem): def __init__(self, parent): qt4.QGraphicsLineItem.__init__(self, parent) self.parent = parent self.setPen(controlLinePen()) self.setZValue(2.) self.setFlag(qt4.QGraphicsItem.ItemIsMovable) def mouseReleaseEvent(self, event): """Notify finished.""" qt4.QGraphicsLineItem.mouseReleaseEvent(self, event) self.parent.updateWidget() def mouseMoveEvent(self, event): """Move the axis.""" qt4.QGraphicsLineItem.mouseMoveEvent(self, event) self.parent.doLineUpdate() class ControlAxisLine(object): """Controlling position of an axis.""" def __init__(self, widget, direction, minpos, maxpos, axispos, maxposn): self.widget = widget self.direction = direction if minpos > maxpos: minpos, maxpos = maxpos, minpos self.minpos = self.minzoom = self.minorig = minpos self.maxpos = self.maxzoom = self.maxorig = maxpos self.axisorigpos = self.axispos = axispos self.maxposn = maxposn def zoomed(self): """Is this a zoom?""" return self.minzoom != self.minorig or self.maxzoom != self.maxorig def moved(self): """Has axis moved?""" return ( self.minpos != self.minorig or self.maxpos != self.maxorig or self.axisorigpos != self.axispos ) def createGraphicsItem(self): return _GraphAxisLine(self) class _GraphAxisLine(qt4.QGraphicsItem): curs = {True: qt4.Qt.SizeVerCursor, False: qt4.Qt.SizeHorCursor} curs_zoom = {True: qt4.Qt.SplitVCursor, False: qt4.Qt.SplitHCursor} def __init__(self, params): """Line is about to be shown.""" qt4.QGraphicsItem.__init__(self) self.params = params self.pts = [ _ShapeCorner(self), _ShapeCorner(self), _ShapeCorner(self), _ShapeCorner(self) ] self.line = _AxisGraphicsLineItem(self) # set cursors and tooltips for items self.horz = (params.direction == 'horizontal') for p in self.pts[0:2]: p.setCursor(self.curs[not self.horz]) p.setToolTip("Move axis ends") for p in self.pts[2:]: p.setCursor(self.curs_zoom[not self.horz]) p.setToolTip("Change axis scale") self.line.setCursor( self.curs[self.horz] ) self.line.setToolTip("Move axis position") self.setZValue(2.) self.updatePos() def updatePos(self): """Set ends of line and line positions from stored values.""" par = self.params mxp = par.maxposn def _clip(*args): """Clip positions to bounds of box given coords.""" par.minpos = max(par.minpos, mxp[args[0]]) par.maxpos = min(par.maxpos, mxp[args[1]]) par.axispos = max(par.axispos, mxp[args[2]]) par.axispos = min(par.axispos, mxp[args[3]]) if self.horz: _clip(0, 2, 1, 3) # set positions if par.zoomed(): self.line.setPos(par.minzoom, par.axispos) self.line.setLine(0, 0, par.maxzoom-par.minzoom, 0) else: self.line.setPos(par.minpos, par.axispos) self.line.setLine(0, 0, par.maxpos-par.minpos, 0) self.pts[0].setPos(par.minpos, par.axispos) self.pts[1].setPos(par.maxpos, par.axispos) self.pts[2].setPos(par.minzoom, par.axispos-15) self.pts[3].setPos(par.maxzoom, par.axispos-15) else: _clip(1, 3, 0, 2) # set positions if par.zoomed(): self.line.setPos(par.axispos, par.minzoom) self.line.setLine(0, 0, 0, par.maxzoom-par.minzoom) else: self.line.setPos(par.axispos, par.minpos) self.line.setLine(0, 0, 0, par.maxpos-par.minpos) self.pts[0].setPos(par.axispos, par.minpos) self.pts[1].setPos(par.axispos, par.maxpos) self.pts[2].setPos(par.axispos+15, par.minzoom) self.pts[3].setPos(par.axispos+15, par.maxzoom) def updateFromCorner(self, corner, event): """Ends of axis have moved, so update values.""" par = self.params pt = (corner.y(), corner.x())[self.horz] # which end has moved? if corner is self.pts[0]: # horizonal or vertical axis? par.minpos = pt elif corner is self.pts[1]: par.maxpos = pt elif corner is self.pts[2]: par.minzoom = pt elif corner is self.pts[3]: par.maxzoom = pt # swap round end points if min > max if par.minpos > par.maxpos: par.minpos, par.maxpos = par.maxpos, par.minpos self.pts[0], self.pts[1] = self.pts[1], self.pts[0] self.updatePos() def doLineUpdate(self): """Line has moved, so update position.""" pos = self.line.pos() if self.horz: self.params.axispos = pos.y() else: self.params.axispos = pos.x() self.updatePos() def updateWidget(self): """Tell widget to update.""" self.params.widget.updateControlItem(self.params) def boundingRect(self): """Intentionally zero bounding rect.""" return qt4.QRectF(0, 0, 0, 0) def paint(self, painter, option, widget): """Intentionally empty painter.""" veusz-1.21.1/veusz/qtwidgets/0000775000175000017500000000000012376130063014322 5ustar jssjssveusz-1.21.1/veusz/qtwidgets/historyvaluecombo.py0000664000175000017500000000624312260623255020461 0ustar jssjss# Copyright (C) 2009 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """A combobox which remembers previous setting """ from __future__ import division from ..compat import crange from .. import qtall as qt4 from .. import setting class HistoryValueCombo(qt4.QComboBox): """This combobox records what value was previously saved """ def __init__(self, *args): qt4.QComboBox.__init__(self, *args) self.defaultlist = [] self.defaultval = None self.hasshown = False def getSettingName(self): """Get name for saving in settings.""" # get dialog for widget dialog = self.parent() while not isinstance(dialog, qt4.QDialog): dialog = dialog.parent() # combine dialog and object names to make setting return '%s_%s_HistoryValueCombo' % ( dialog.objectName(), self.objectName() ) def saveHistory(self): """Save contents of history combo to settings.""" # only save history if it has been loaded if not self.hasshown: return # collect current items history = [ self.itemText(i) for i in crange(self.count()) ] history.insert(0, self.currentText()) # remove dups histout = [] histset = set() for item in history: if item not in histset: histout.append(item) histset.add(item) # save the history setting.settingdb[self.getSettingName()] = histout def showEvent(self, event): """Show HistoryCombo and load history.""" qt4.QComboBox.showEvent(self, event) if self.hasshown: return self.clear() self.addItems(self.defaultlist) text = setting.settingdb.get(self.getSettingName(), self.defaultval) if text is not None: indx = self.findText(text) if indx < 0: if self.isEditable(): self.insertItem(0, text) indx = 0 self.setCurrentIndex(indx) self.hasshown = True def hideEvent(self, event): """Save history as widget is hidden.""" qt4.QComboBox.hideEvent(self, event) if self.hasshown: text = self.currentText() setting.settingdb[self.getSettingName()] = text veusz-1.21.1/veusz/qtwidgets/historycheck.py0000664000175000017500000000464312237406466017413 0ustar jssjss# Copyright (C) 2009 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## from __future__ import division from .. import qtall as qt4 from .. import setting class HistoryCheck(qt4.QCheckBox): """Checkbox remembers its setting between calls """ def __init__(self, *args): qt4.QCheckBox.__init__(self, *args) self.default = False def getSettingName(self): """Get name for saving in settings.""" # get dialog for widget dialog = self.parent() while not isinstance(dialog, qt4.QDialog): dialog = dialog.parent() # combine dialog and object names to make setting return '%s_%s_HistoryCheck' % ( dialog.objectName(), self.objectName() ) def loadHistory(self): """Load contents of HistoryCheck from settings.""" checked = setting.settingdb.get(self.getSettingName(), self.default) # this is to ensure toggled() signals get sent self.setChecked(not checked) self.setChecked(checked) def saveHistory(self): """Save contents of HistoryCheck to settings.""" setting.settingdb[self.getSettingName()] = self.isChecked() def showEvent(self, event): """Show HistoryCheck and load history.""" qt4.QCheckBox.showEvent(self, event) # we do this now rather than in __init__ because the widget # has no name set at __init__ self.loadHistory() def hideEvent(self, event): """Save history as widget is hidden.""" qt4.QCheckBox.hideEvent(self, event) self.saveHistory() veusz-1.21.1/veusz/qtwidgets/historygroupbox.py0000644000175000017500000000565112327177747020210 0ustar jssjss# Copyright (C) 2010 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## from __future__ import division from ..compat import cstr from .. import qtall as qt4 from .. import setting class HistoryGroupBox(qt4.QGroupBox): """Group box remembers settings of radio buttons inside it. emits radioClicked(radiowidget) when clicked """ radioClicked = qt4.pyqtSignal(qt4.QObject) def getSettingName(self): """Get name for saving in settings.""" # get dialog for widget dialog = self.parent() while not isinstance(dialog, qt4.QDialog): dialog = dialog.parent() # combine dialog and object names to make setting return '%s_%s_HistoryGroup' % ( dialog.objectName(), self.objectName() ) def loadHistory(self): """Load from settings.""" # connect up radio buttons to emit clicked signal for w in self.children(): if isinstance(w, qt4.QRadioButton): def doemit(widget): return lambda: self.radioClicked.emit(widget) w.clicked.connect(doemit(w)) # set item to be checked checked = setting.settingdb.get(self.getSettingName(), "") for w in self.children(): if isinstance(w, qt4.QRadioButton) and ( w.objectName() == checked or checked == ""): w.click() return def getRadioChecked(self): """Get name of radio button checked.""" for w in self.children(): if isinstance(w, qt4.QRadioButton) and w.isChecked(): return w return None def saveHistory(self): """Save to settings.""" name = cstr(self.getRadioChecked().objectName()) setting.settingdb[self.getSettingName()] = name def showEvent(self, event): """Show and load history.""" qt4.QGroupBox.showEvent(self, event) self.loadHistory() def hideEvent(self, event): """Save history as widget is hidden.""" qt4.QGroupBox.hideEvent(self, event) self.saveHistory() veusz-1.21.1/veusz/qtwidgets/recentfilesbutton.py0000644000175000017500000000536112327177747020456 0ustar jssjss# Copyright (C) 2009 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## from __future__ import division import os.path from .. import qtall as qt4 from ..compat import cstr from .. import setting def removeBadRecents(itemlist): """Remove duplicates from list and bad entries.""" previous = set() i = 0 while i < len(itemlist): if itemlist[i] in previous: del itemlist[i] elif not os.path.exists(itemlist[i]): del itemlist[i] else: previous.add(itemlist[i]) i += 1 # trim list del itemlist[10:] class RecentFilesButton(qt4.QPushButton): """A button for remembering recent files. emits filechosen(filename) if a file is chosen """ filechosen = qt4.pyqtSignal(cstr) def __init__(self, *args): qt4.QPushButton.__init__(self, *args) self.menu = qt4.QMenu() self.setMenu(self.menu) self.settingname = None def setSetting(self, name): """Specify settings to use when loading menu. Should be called before use.""" self.settingname = name self.fillMenu() def fillMenu(self): """Add filenames to menu.""" self.menu.clear() recent = setting.settingdb.get(self.settingname, []) removeBadRecents(recent) setting.settingdb[self.settingname] = recent for filename in recent: if os.path.exists(filename): act = self.menu.addAction( os.path.basename(filename) ) def loadrecentfile(f): return lambda: self.filechosen.emit(f) act.triggered.connect(loadrecentfile(filename)) def addFile(self, filename): """Add filename to list of recent files.""" recent = setting.settingdb.get(self.settingname, []) recent.insert(0, os.path.abspath(filename)) setting.settingdb[self.settingname] = recent self.fillMenu() veusz-1.21.1/veusz/qtwidgets/__init__.py0000664000175000017500000000307712237406466016453 0ustar jssjss# Copyright (C) 2011 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """Veusz qtwidgets module.""" # insert history combo into the list of modules so that it can be found # by loadUi - yuck import sys from . import historycombo from . import historycheck from . import historyvaluecombo from . import historygroupbox from . import historyspinbox from . import recentfilesbutton from . import lineeditwithclear sys.modules['historycombo'] = historycombo sys.modules['historycheck'] = historycheck sys.modules['historyvaluecombo'] = historyvaluecombo sys.modules['historygroupbox'] = historygroupbox sys.modules['historyspinbox'] = historyspinbox sys.modules['recentfilesbutton'] = recentfilesbutton sys.modules['lineeditwithclear'] = lineeditwithclear veusz-1.21.1/veusz/qtwidgets/historycombo.py0000664000175000017500000001107712260623255017425 0ustar jssjss# Copyright (C) 2009 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """A combobox which remembers its history. The history is stored in the Veusz settings database. """ from __future__ import division from ..compat import crange from .. import qtall as qt4 from .. import setting class HistoryCombo(qt4.QComboBox): """This combobox records what items have been entered into it so the user can choose them again. Duplicates and blanks are ignored. """ def __init__(self, *args): qt4.QComboBox.__init__(self, *args) # sane defaults self.setEditable(True) self.setAutoCompletion(True) self.setMaxCount(50) self.setInsertPolicy(qt4.QComboBox.InsertAtTop) self.setDuplicatesEnabled(False) self.setSizePolicy( qt4.QSizePolicy(qt4.QSizePolicy.MinimumExpanding, qt4.QSizePolicy.Fixed) ) # stops combobox readjusting in size to fit contents self.setSizeAdjustPolicy( qt4.QComboBox.AdjustToMinimumContentsLengthWithIcon) self.default = [] self.hasshown = False def text(self): """Get text in combobox - this gives it the same interface as QLineEdit.""" return self.currentText() def setText(self, text): """Set text in combobox - gives same interface as QLineEdit.""" self.lineEdit().setText(text) def hasAcceptableInput(self): """Input valid? - gives same interface as QLineEdit.""" return self.lineEdit().hasAcceptableInput() def replaceAndAddHistory(self, item): """Replace the text and place item at top of history.""" self.lineEdit().setText(item) index = self.findText(item) # lookup for existing item (if any) if index != -1: # remove any old items matching this self.removeItem(index) # put new item in self.insertItem(0, item) # set selected item in drop down list match current item self.setCurrentIndex(0) def getSettingName(self): """Get name for saving in settings.""" # get dialog for widget dialog = self.parent() while not isinstance(dialog, qt4.QDialog): dialog = dialog.parent() # combine dialog and object names to make setting return '%s_%s_HistoryCombo' % ( dialog.objectName(), self.objectName() ) def loadHistory(self): """Load contents of history combo from settings.""" self.clear() history = setting.settingdb.get(self.getSettingName(), self.default) self.insertItems(0, history) self.hasshown = True def saveHistory(self): """Save contents of history combo to settings.""" # only save history if it has been loaded if not self.hasshown: return # collect current items history = [ self.itemText(i) for i in crange(self.count()) ] history.insert(0, self.currentText()) # remove dups histout = [] histset = set() for item in history: if item not in histset: histout.append(item) histset.add(item) # save the history setting.settingdb[self.getSettingName()] = histout def showEvent(self, event): """Show HistoryCombo and load history.""" qt4.QComboBox.showEvent(self, event) # we do this now rather than in __init__ because the widget # has no name set at __init__ if not self.hasshown: self.loadHistory() def hideEvent(self, event): """Save history as widget is hidden.""" qt4.QComboBox.hideEvent(self, event) self.saveHistory() veusz-1.21.1/veusz/qtwidgets/datasetbrowser.py0000644000175000017500000006721112327177747017752 0ustar jssjss# -*- coding: utf-8 -*- # Copyright (C) 2011 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### """A widget for navigating datasets.""" from __future__ import division import os.path import numpy as N import textwrap from ..compat import crange, citems, czip, cstr from .. import qtall as qt4 from .. import setting from .. import document from .. import utils from .lineeditwithclear import LineEditWithClear from ..utils.treemodel import TMNode, TreeModel def _(text, disambiguation=None, context="DatasetBrowser"): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) def datasetLinkFile(ds): """Get a linked filename from a dataset.""" if ds.linked is None: return "/" else: return ds.linked.filename class DatasetNode(TMNode): """Node for a dataset.""" def __init__(self, doc, dsname, cols, parent): ds = doc.data[dsname] data = [] assert cols[0] == "name" for c in cols: if c == "name": data.append( dsname ) elif c == "size": data.append( ds.userSize() ) elif c == "type": data.append( ds.dstype ) elif c == "linkfile": data.append( os.path.basename(datasetLinkFile(ds)) ) TMNode.__init__(self, tuple(data), parent) self.doc = doc self.cols = cols def getPreviewPixmap(self, ds): """Get a preview pixmap for a dataset.""" size = (140, 70) if ds.dimensions != 1 or ds.datatype != "numeric": return None pixmap = qt4.QPixmap(*size) pixmap.fill(qt4.Qt.transparent) p = qt4.QPainter(pixmap) p.setRenderHint(qt4.QPainter.Antialiasing) # calculate data points try: if len(ds.data) < size[1]: y = ds.data else: intvl = len(ds.data)//size[1]+1 y = ds.data[::intvl] x = N.arange(len(y)) # plot data points on image minval, maxval = N.nanmin(y), N.nanmax(y) y = (y-minval) / (maxval-minval) * size[1] finite = N.isfinite(y) x, y = x[finite], y[finite] x = x * (1./len(x)) * size[0] poly = qt4.QPolygonF() utils.addNumpyToPolygonF(poly, x, size[1]-y) p.setPen( qt4.QPen(qt4.Qt.blue) ) p.drawPolyline(poly) # draw x axis if span 0 p.setPen( qt4.QPen(qt4.Qt.black) ) if minval <= 0 and maxval > 0: y0 = size[1] - (0-minval)/(maxval-minval)*size[1] p.drawLine(x[0], y0, x[-1], y0) else: p.drawLine(x[0], size[1], x[-1], size[1]) p.drawLine(x[0], 0, x[0], size[1]) except (ValueError, ZeroDivisionError): # zero sized array after filtering or min == max, so return None p.end() return None p.end() return pixmap def toolTip(self, column): """Return tooltip for column.""" try: ds = self.doc.data[self.data[0]] except KeyError: return None c = self.cols[column] if c == "name": text = ds.description() if text is None: text = '' if ds.tags: text += '\n\n' + _('Tags: %s') % (' '.join(sorted(ds.tags))) return textwrap.fill(text, 40) elif c == "size" or (c == 'type' and 'size' not in self.cols): text = ds.userPreview() # add preview of dataset if possible pix = self.getPreviewPixmap(ds) if pix: text = text.replace("\n", "
    ") text = "%s
    %s" % (text, utils.pixmapAsHtml(pix)) return text elif c == "linkfile" or c == "type": return textwrap.fill(ds.linkedInformation(), 40) return None def dataset(self): """Get associated dataset.""" try: return self.doc.data[self.data[0]] except KeyError: return None def datasetName(self): """Get dataset name.""" return self.data[0] def cloneTo(self, newroot): """Make a clone of self at the root given.""" return self.__class__(self.doc, self.data[0], self.cols, newroot) class FilenameNode(TMNode): """A special node for holding filenames of files.""" def nodeData(self, column): """basename of filename for data.""" if column == 0: if self.data[0] == "/": return "/" else: return os.path.basename(self.data[0]) return None def filename(self): """Return filename.""" return self.data[0] def toolTip(self, column): """Full filename for tooltip.""" if column == 0: return self.data[0] return None def treeFromList(nodelist, rootdata): """Construct a tree from a list of nodes.""" tree = TMNode( rootdata, None ) for node in nodelist: tree.insertChildSorted(node) return tree class DatasetRelationModel(TreeModel): """A model to show how the datasets are related to each file.""" def __init__(self, doc, grouping="filename", readonly=False, filterdims=None, filterdtype=None): """Model parameters: doc: document group: how to group datasets readonly: no modification of data filterdims/filterdtype: filter dimensions and datatypes. """ TreeModel.__init__(self, (_("Dataset"), _("Size"), _("Type"))) self.doc = doc self.linkednodes = {} self.grouping = grouping self.filter = "" self.readonly = readonly self.filterdims = filterdims self.filterdtype = filterdtype self.refresh() doc.signalModified.connect(self.refresh) def datasetFilterOut(self, ds, node): """Should dataset be filtered out by filter options.""" filterout = False # is filter text not in node text or text keep = True if self.filter != "": keep = False if any([t.find(self.filter) >= 0 for t in ds.tags]): keep = True if any([t.find(self.filter) >= 0 for t in node.data]): keep = True # check dimensions haven't been filtered if ( self.filterdims is not None and ds.dimensions not in self.filterdims ): filterout = True # check type hasn't been filtered if ( self.filterdtype is not None and ds.datatype not in self.filterdtype ): filterout = True if filterout: return True return not keep def makeGrpTreeNone(self): """Make tree with no grouping.""" tree = TMNode( (_("Dataset"), _("Size"), _("Type"), _("File")), None ) for name, ds in citems(self.doc.data): child = DatasetNode( self.doc, name, ("name", "size", "type", "linkfile"), None ) # add if not filtered for filtering if not self.datasetFilterOut(ds, child): tree.insertChildSorted(child) return tree def makeGrpTree(self, coltitles, colitems, grouper, GrpNodeClass): """Make a tree grouping with function: coltitles: tuple of titles of columns for user colitems: tuple of items to lookup in DatasetNode grouper: function of dataset to return text for grouping GrpNodeClass: class for creating grouping nodes """ grpnodes = {} for name, ds in citems(self.doc.data): child = DatasetNode(self.doc, name, colitems, None) # check whether filtered out if not self.datasetFilterOut(ds, child): # get group grps = grouper(ds) for grp in grps: if grp not in grpnodes: grpnodes[grp] = GrpNodeClass( (grp,), None ) # add to group grpnodes[grp].insertChildSorted(child) return treeFromList(list(grpnodes.values()), coltitles) def makeGrpTreeFilename(self): """Make a tree of datasets grouped by linked file.""" return self.makeGrpTree( (_("Dataset"), _("Size"), _("Type")), ("name", "size", "type"), lambda ds: (datasetLinkFile(ds),), FilenameNode ) def makeGrpTreeSize(self): """Make a tree of datasets grouped by dataset size.""" return self.makeGrpTree( (_("Dataset"), _("Type"), _("Filename")), ("name", "type", "linkfile"), lambda ds: (ds.userSize(),), TMNode ) def makeGrpTreeType(self): """Make a tree of datasets grouped by dataset type.""" return self.makeGrpTree( (_("Dataset"), _("Size"), _("Filename")), ("name", "size", "linkfile"), lambda ds: (ds.dstype,), TMNode ) def makeGrpTreeTags(self): """Make a tree of datasets grouped by tags.""" def getgrp(ds): if ds.tags: return sorted(ds.tags) else: return [_("None")] return self.makeGrpTree( (_("Dataset"), _("Size"), _("Type"), _("Filename")), ("name", "size", "type", "linkfile"), getgrp, TMNode ) def flags(self, idx): """Return model flags for index.""" f = TreeModel.flags(self, idx) # allow dataset names to be edited if ( idx.isValid() and isinstance(self.objFromIndex(idx), DatasetNode) and not self.readonly and idx.column() == 0 ): f |= qt4.Qt.ItemIsEditable return f def setData(self, idx, newname, role): """Rename dataset.""" dsnode = self.objFromIndex(idx) if not utils.validateDatasetName(newname) or newname in self.doc.data: return False self.doc.applyOperation( document.OperationDatasetRename(dsnode.data[0], newname)) self.dataChanged.emit(idx, idx) return True @qt4.pyqtSlot() def refresh(self): """Update tree of datasets when document changes.""" tree = { "none": self.makeGrpTreeNone, "filename": self.makeGrpTreeFilename, "size": self.makeGrpTreeSize, "type": self.makeGrpTreeType, "tags": self.makeGrpTreeTags, }[self.grouping]() self.syncTree(tree) class DatasetsNavigatorTree(qt4.QTreeView): """Tree view for dataset names.""" updateitem = qt4.pyqtSignal() selecteddatasets = qt4.pyqtSignal(list) def __init__(self, doc, mainwin, grouping, parent, readonly=False, filterdims=None, filterdtype=None): """Initialise the dataset tree view. doc: veusz document mainwin: veusz main window (or None if readonly) grouping: grouping mode of datasets parent: parent window or None filterdims: if set, only show datasets with dimensions given filterdtype: if set, only show datasets with type given """ qt4.QTreeView.__init__(self, parent) self.doc = doc self.mainwindow = mainwin self.model = DatasetRelationModel(doc, grouping, readonly=readonly, filterdims=filterdims, filterdtype=filterdtype) self.setModel(self.model) self.setSelectionMode(qt4.QTreeView.ExtendedSelection) self.setSelectionBehavior(qt4.QTreeView.SelectRows) self.setUniformRowHeights(True) self.setContextMenuPolicy(qt4.Qt.CustomContextMenu) if not readonly: self.customContextMenuRequested.connect(self.showContextMenu) self.model.refresh() self.expandAll() # stretch of columns hdr = self.header() hdr.setStretchLastSection(False) hdr.setResizeMode(0, qt4.QHeaderView.Stretch) for col in crange(1, 3): hdr.setResizeMode(col, qt4.QHeaderView.ResizeToContents) # when documents have finished opening, expand all nodes if mainwin is not None: mainwin.documentOpened.connect(self.expandAll) # keep track of selection self.selectionModel().selectionChanged.connect(self.slotNewSelection) # expand nodes by default self.model.rowsInserted.connect(self.slotNewRow) def changeGrouping(self, grouping): """Change the tree grouping behaviour.""" self.model.grouping = grouping self.model.refresh() self.expandAll() def changeFilter(self, filtertext): """Change filtering text.""" self.model.filter = filtertext self.model.refresh() self.expandAll() def selectDataset(self, dsname): """Find, and if possible select dataset name.""" matches = self.model.match( self.model.index(0, 0, qt4.QModelIndex()), qt4.Qt.DisplayRole, dsname, -1, qt4.Qt.MatchFixedString | qt4.Qt.MatchCaseSensitive | qt4.Qt.MatchRecursive ) for idx in matches: if isinstance(self.model.objFromIndex(idx), DatasetNode): self.selectionModel().setCurrentIndex( idx, qt4.QItemSelectionModel.SelectCurrent | qt4.QItemSelectionModel.Clear | qt4.QItemSelectionModel.Rows ) def showContextMenu(self, pt): """Context menu for nodes.""" # get selected nodes idxs = self.selectionModel().selection().indexes() nodes = [ self.model.objFromIndex(i) for i in idxs if i.column() == 0 ] # unique list of types of nodes types = utils.unique([ type(n) for n in nodes ]) menu = qt4.QMenu() # put contexts onto submenus if multiple types selected if DatasetNode in types: thismenu = menu if len(types) > 1: thismenu = menu.addMenu(_("Datasets")) self.datasetContextMenu( [n for n in nodes if isinstance(n, DatasetNode)], thismenu) elif FilenameNode in types: thismenu = menu if len(types) > 1: thismenu = menu.addMenu(_("Files")) self.filenameContextMenu( [n for n in nodes if isinstance(n, FilenameNode)], thismenu) def _paste(): """Paste dataset(s).""" if document.isClipboardDataMime(): mime = qt4.QApplication.clipboard().mimeData() self.doc.applyOperation(document.OperationDataPaste(mime)) # if there is data to paste, add menu item if document.isClipboardDataMime(): menu.addAction(_("Paste"), _paste) if len( menu.actions() ) != 0: menu.exec_(self.mapToGlobal(pt)) def datasetContextMenu(self, dsnodes, menu): """Return context menu for datasets.""" from ..dialogs import dataeditdialog datasets = [d.dataset() for d in dsnodes] dsnames = [d.datasetName() for d in dsnodes] def _edit(): """Open up dialog box to recreate dataset.""" for dataset, dsname in czip(datasets, dsnames): if type(dataset) in dataeditdialog.recreate_register: dataeditdialog.recreate_register[type(dataset)]( self.mainwindow, self.doc, dataset, dsname) def _edit_data(): """Open up data edit dialog.""" for dataset, dsname in czip(datasets, dsnames): if type(dataset) not in dataeditdialog.recreate_register: self.mainwindow.slotDataEdit(editdataset=dsname) def _delete(): """Simply delete dataset.""" self.doc.applyOperation( document.OperationMultiple( [document.OperationDatasetDelete(n) for n in dsnames], descr=_('delete dataset(s)'))) def _unlink_file(): """Unlink dataset from file.""" self.doc.applyOperation( document.OperationMultiple( [document.OperationDatasetUnlinkFile(n) for d,n in czip(datasets,dsnames) if d.canUnlink() and d.linked], descr=_('unlink dataset(s)'))) def _unlink_relation(): """Unlink dataset from relation.""" self.doc.applyOperation( document.OperationMultiple( [document.OperationDatasetUnlinkRelation(n) for d,n in czip(datasets,dsnames) if d.canUnlink() and not d.linked], descr=_('unlink dataset(s)'))) def _copy(): """Copy data to clipboard.""" mime = document.generateDatasetsMime(dsnames, self.doc) qt4.QApplication.clipboard().setMimeData(mime) # editing recreate = [type(d) in dataeditdialog.recreate_register for d in datasets] if any(recreate): menu.addAction(_("Edit"), _edit) if not all(recreate): menu.addAction(_("Edit data"), _edit_data) # deletion menu.addAction(_("Delete"), _delete) # linking unlink_file = [d.canUnlink() and d.linked for d in datasets] if any(unlink_file): menu.addAction(_("Unlink file"), _unlink_file) unlink_relation = [d.canUnlink() and not d.linked for d in datasets] if any(unlink_relation): menu.addAction(_("Unlink relation"), _unlink_relation) # tagging submenu tagmenu = menu.addMenu(_("Tags")) for tag in self.doc.datasetTags(): def toggle(tag=tag): state = [tag in d.tags for d in datasets] if all(state): op = document.OperationDataUntag else: op = document.OperationDataTag self.doc.applyOperation(op(tag, dsnames)) a = tagmenu.addAction(tag, toggle) a.setCheckable(True) state = [tag in d.tags for d in datasets] a.setChecked( all(state) ) def addtag(): tag, ok = qt4.QInputDialog.getText( self, _("New tag"), _("Enter new tag")) if ok: tag = tag.strip().replace(' ', '') if tag: self.doc.applyOperation( document.OperationDataTag( tag, dsnames) ) tagmenu.addAction(_("Add..."), addtag) # copy menu.addAction(_("Copy"), _copy) if len(datasets) == 1: useasmenu = menu.addMenu(_("Use as")) self.getMenuUseAs(useasmenu, datasets[0]) def filenameContextMenu(self, nodes, menu): """Return context menu for filenames.""" from ..dialogs.reloaddata import ReloadData filenames = [n.filename() for n in nodes if n.filename() != '/'] if not filenames: return def _reload(): """Reload data in this file.""" d = ReloadData(self.doc, self.mainwindow, filenames=set(filenames)) self.mainwindow.showDialog(d) def _unlink_all(): """Unlink all datasets associated with file.""" self.doc.applyOperation( document.OperationMultiple( [document.OperationDatasetUnlinkByFile(f) for f in filenames], descr=_('unlink by file'))) def _delete_all(): """Delete all datasets associated with file.""" self.doc.applyOperation( document.OperationMultiple( [document.OperationDatasetDeleteByFile(f) for f in filenames], descr=_('delete by file'))) menu.addAction(_("Reload"), _reload) menu.addAction(_("Unlink all"), _unlink_all) menu.addAction(_("Delete all"), _delete_all) def getMenuUseAs(self, menu, dataset): """Build up menu of widget settings to use dataset in.""" def addifdatasetsetting(path, setn): def _setdataset(): self.doc.applyOperation( document.OperationSettingSet( path, self.doc.datasetName(dataset)) ) if ( isinstance(setn, setting.Dataset) and setn.dimensions == dataset.dimensions and setn.datatype == dataset.datatype and path[:12] != "/StyleSheet/" ): menu.addAction(path, _setdataset) self.doc.walkNodes(addifdatasetsetting, nodetypes=("setting",)) def keyPressEvent(self, event): """Enter key selects widget.""" if event.key() in (qt4.Qt.Key_Return, qt4.Qt.Key_Enter): self.updateitem.emit() return qt4.QTreeView.keyPressEvent(self, event) def mouseDoubleClickEvent(self, event): """Emit updateitem signal if double clicked.""" retn = qt4.QTreeView.mouseDoubleClickEvent(self, event) self.updateitem.emit() return retn def slotNewSelection(self, selected, deselected): """Emit selecteditem signal on new selection.""" self.selecteddatasets.emit(self.getSelectedDatasets()) def slotNewRow(self, parent, start, end): """Expand parent if added.""" self.expand(parent) def getSelectedDatasets(self): """Returns list of selected datasets.""" datasets = [] for idx in self.selectionModel().selectedRows(): node = self.model.objFromIndex(idx) try: name = node.datasetName() if name in self.doc.data: datasets.append(name) except AttributeError: pass return datasets class DatasetBrowser(qt4.QWidget): """Widget which shows the document's datasets.""" # how datasets can be grouped grpnames = ("none", "filename", "type", "size", "tags") grpentries = { "none": _("None"), "filename": _("Filename"), "type": _("Type"), "size": _("Size"), "tags": _("Tags"), } def __init__(self, thedocument, mainwin, parent, readonly=False, filterdims=None, filterdtype=None): """Initialise widget: thedocument: document to show mainwin: main window of application (or None if readonly) parent: parent of widget. readonly: for choosing datasets only filterdims: if set, only show datasets with dimensions given filterdtype: if set, only show datasets with type given """ qt4.QWidget.__init__(self, parent) self.layout = qt4.QVBoxLayout() self.setLayout(self.layout) # options for navigator are in this layout self.optslayout = qt4.QHBoxLayout() # grouping options - use a menu to choose the grouping self.grpbutton = qt4.QPushButton(_("Group")) self.grpmenu = qt4.QMenu() self.grouping = setting.settingdb.get("navtree_grouping", "filename") self.grpact = qt4.QActionGroup(self) self.grpact.setExclusive(True) for name in self.grpnames: a = self.grpmenu.addAction(self.grpentries[name]) a.grpname = name a.setCheckable(True) if name == self.grouping: a.setChecked(True) self.grpact.addAction(a) self.grpact.triggered.connect(self.slotGrpChanged) self.grpbutton.setMenu(self.grpmenu) self.grpbutton.setToolTip(_("Group datasets with property given")) self.optslayout.addWidget(self.grpbutton) # filtering by entering text self.optslayout.addWidget(qt4.QLabel(_("Filter"))) self.filteredit = LineEditWithClear() self.filteredit.setToolTip(_("Enter text here to filter datasets")) self.filteredit.textChanged.connect(self.slotFilterChanged) self.optslayout.addWidget(self.filteredit) self.layout.addLayout(self.optslayout) # the actual widget tree self.navtree = DatasetsNavigatorTree( thedocument, mainwin, self.grouping, None, readonly=readonly, filterdims=filterdims, filterdtype=filterdtype) self.layout.addWidget(self.navtree) def slotGrpChanged(self, action): """Grouping changed by user.""" self.navtree.changeGrouping(action.grpname) setting.settingdb["navtree_grouping"] = action.grpname def slotFilterChanged(self, filtertext): """Filtering changed by user.""" self.navtree.changeFilter(filtertext) def selectDataset(self, dsname): """Find, and if possible select dataset name.""" self.navtree.selectDataset(dsname) class DatasetBrowserPopup(DatasetBrowser): """Popup window for dataset browser for selecting datasets. This is used by setting.controls.Dataset """ closing = qt4.pyqtSignal() newdataset = qt4.pyqtSignal(cstr) def __init__(self, document, dsname, parent, filterdims=None, filterdtype=None): """Open popup window for document dsname: dataset name parent: window parent filterdims: if set, only show datasets with dimensions given filterdtype: if set, only show datasets with type given """ DatasetBrowser.__init__(self, document, None, parent, readonly=True, filterdims=filterdims, filterdtype=filterdtype) self.setWindowFlags(qt4.Qt.Popup) self.setAttribute(qt4.Qt.WA_DeleteOnClose) self.spacing = self.fontMetrics().height() utils.positionFloatingPopup(self, parent) self.selectDataset(dsname) self.installEventFilter(self) self.navtree.setFocus() self.navtree.updateitem.connect(self.slotUpdateItem) def eventFilter(self, node, event): """Grab clicks outside this window to close it.""" if ( isinstance(event, qt4.QMouseEvent) and event.buttons() != qt4.Qt.NoButton ): frame = qt4.QRect(0, 0, self.width(), self.height()) if not frame.contains(event.pos()): self.close() return True return qt4.QTextEdit.eventFilter(self, node, event) def sizeHint(self): """A reasonable size for the text editor.""" return qt4.QSize(self.spacing*30, self.spacing*20) def closeEvent(self, event): """Tell the calling widget that we are closing.""" self.closing.emit() event.accept() def slotUpdateItem(self): """Emit new dataset signal.""" selected = self.navtree.selectionModel().currentIndex() if selected.isValid(): n = self.navtree.model.objFromIndex(selected) if isinstance(n, DatasetNode): self.newdataset.emit(n.data[0]) self.close() veusz-1.21.1/veusz/qtwidgets/historyspinbox.py0000664000175000017500000000432312237406466020013 0ustar jssjss# Copyright (C) 2010 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## from __future__ import division from .. import qtall as qt4 from .. import setting class HistorySpinBox(qt4.QSpinBox): """A SpinBox which remembers its setting between calls.""" def __init__(self, *args): qt4.QSpinBox.__init__(self, *args) self.default = 0 def getSettingName(self): """Get name for saving in settings.""" # get dialog for widget dialog = self.parent() while not isinstance(dialog, qt4.QDialog): dialog = dialog.parent() # combine dialog and object names to make setting return "%s_%s_HistorySpinBox" % ( dialog.objectName(), self.objectName() ) def loadHistory(self): """Load contents of HistorySpinBox from settings.""" num = setting.settingdb.get(self.getSettingName(), self.default) self.setValue(num) def saveHistory(self): """Save contents of HistorySpinBox to settings.""" setting.settingdb[self.getSettingName()] = self.value() def showEvent(self, event): """Show HistorySpinBox and load history.""" qt4.QSpinBox.showEvent(self, event) self.loadHistory() def hideEvent(self, event): """Save history as widget is hidden.""" qt4.QSpinBox.hideEvent(self, event) self.saveHistory() veusz-1.21.1/veusz/qtwidgets/lineeditwithclear.py0000644000175000017500000000526012327177747020415 0ustar jssjss# -*- coding: utf-8 -*- # Copyright (C) 2011 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### from __future__ import division from .. import qtall as qt4 from .. import utils class LineEditWithClear(qt4.QLineEdit): """This is a line edit widget which supplies a clear button to delete the text if it is clicked. Adapted from: http://labs.qt.nokia.com/2007/06/06/lineedit-with-a-clear-button/ """ def __init__(self, *args): """Initialise the line edit.""" qt4.QLineEdit.__init__(self, *args) # the clear button itself, with no padding self.clearbutton = cb = qt4.QToolButton(self) cb.setIcon( utils.getIcon('kde-edit-delete') ) cb.setCursor(qt4.Qt.ArrowCursor) cb.setStyleSheet('QToolButton { border: none; padding: 0px; }') cb.setToolTip("Clear text") cb.hide() cb.clicked.connect(self.clear) # button should appear if there is text self.textChanged.connect(self.updateCloseButton) # positioning of the button fw = self.style().pixelMetric(qt4.QStyle.PM_DefaultFrameWidth) self.setStyleSheet("QLineEdit { padding-right: %ipx; } " % (cb.sizeHint().width() + fw + 1)) msz = self.minimumSizeHint() mx = cb.sizeHint().height()+ fw*2 + 2 self.setMinimumSize( max(msz.width(), mx), max(msz.height(), mx) ) def resizeEvent(self, evt): """Move button if widget resized.""" sz = self.clearbutton.sizeHint() fw = self.style().pixelMetric(qt4.QStyle.PM_DefaultFrameWidth) r = self.rect() self.clearbutton.move( r.right() - fw - sz.width(), (r.bottom() + 1 - sz.height())//2 ) def updateCloseButton(self, text): """Button should only appear if there is text.""" self.clearbutton.setVisible(text != '') veusz-1.21.1/veusz/veusz_main.py0000755000175000017500000002425112327177747015066 0ustar jssjss#!/usr/bin/env python # Copyright (C) 2004 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## '''Main Veusz executable.''' from __future__ import division import sys import os.path import signal import optparse # trick to make sure veusz is on the path, if being run as a script try: import veusz except ImportError: sys.path.append( os.path.abspath(os.path.join(os.path.dirname(__file__), '..')) ) import veusz from veusz.compat import czip, cbytes from veusz import qtall as qt4 from veusz import utils copyr='''Veusz %s Copyright (C) Jeremy Sanders 2003-2014 and contributors Licenced under the GNU General Public Licence (version 2 or greater) ''' splashcopyr='''Veusz %s
     Copyright (C) Jeremy Sanders 2003-2014 and contributors
    Licenced under the GPL (version 2 or greater) ''' def handleIntSignal(signum, frame): '''Ask windows to close if Ctrl+C pressed.''' qt4.qApp.closeAllWindows() def makeSplashLogo(): '''Make a splash screen logo.''' border = 16 xw, yw = 520, 240 pix = qt4.QPixmap(xw, yw) pix.fill() p = qt4.QPainter(pix) # draw logo on pixmap logo = utils.getPixmap('logo.png') p.drawPixmap( xw//2 - logo.width()//2, border, logo ) # add copyright text doc = qt4.QTextDocument() doc.setPageSize( qt4.QSizeF(xw, yw - 3*border - logo.height()) ) f = qt4.qApp.font() f.setPointSize(14) doc.setDefaultFont(f) doc.setDefaultTextOption( qt4.QTextOption(qt4.Qt.AlignCenter) ) doc.setHtml(splashcopyr % utils.version()) p.translate(0, 2*border + logo.height()) doc.drawContents(p) p.end() return pix def excepthook(excepttype, exceptvalue, tracebackobj): '''Show exception dialog if an exception occurs.''' from veusz.dialogs.exceptiondialog import ExceptionDialog if not isinstance(exceptvalue, utils.IgnoreException): # next exception is ignored to clear out the stack frame of the # previous exception - yuck d = ExceptionDialog((excepttype, exceptvalue, tracebackobj), None) d.exec_() def listen(args, quiet): '''For running with --listen option.''' from veusz.veusz_listen import openWindow openWindow(args, quiet=quiet) def export(exports, args): '''A shortcut to load a set of files and export them.''' from veusz import document from veusz import utils for expfn, vsz in czip(exports, args[1:]): doc = document.Document() ci = document.CommandInterpreter(doc) ci.Load(vsz) ci.run('Export(%s)' % repr(expfn)) def convertArgsUnicode(args): '''Convert set of arguments to unicode. Arguments in argv use current file system encoding ''' enc = sys.getfilesystemencoding() # bail out if not supported if enc is None: return args out = [] for a in args: if isinstance(a, cbytes): out.append( a.decode(enc) ) else: out.append(a) return out class ImportThread(qt4.QThread): '''Do import of main code within another thread. Main application runs when this is done ''' def run(self): from veusz import setting from veusz import widgets from veusz import dataimport class VeuszApp(qt4.QApplication): """Event which can open mac files.""" def __init__(self, args): qt4.QApplication.__init__(self, args) self.lastWindowClosed.connect(self.quit) # register a signal handler to catch ctrl+C signal.signal(signal.SIGINT, handleIntSignal) # parse command line options parser = optparse.OptionParser( usage='%prog [options] filename.vsz ...', version=copyr % utils.version()) parser.add_option('--unsafe-mode', action='store_true', help='disable safety checks when running documents' ' or scripts') parser.add_option('--listen', action='store_true', help='read and execute Veusz commands from stdin,' ' replacing veusz_listen') parser.add_option('--quiet', action='store_true', help='if in listening mode, do not open a window but' ' execute commands quietly') parser.add_option('--export', action='append', metavar='FILE', help='export the next document to this' ' output image file, exiting when finished') parser.add_option('--embed-remote', action='store_true', help=optparse.SUPPRESS_HELP) parser.add_option('--plugin', action='append', metavar='FILE', help='load the plugin from the file given for ' 'the session') parser.add_option('--translation', metavar='FILE', help='load the translation .qm file given') options, args = parser.parse_args(self.argv()) # export files to make images if options.export and len(options.export) != len(args)-1: parser.error( 'export option needs same number of documents and ' 'output files') # convert args to unicode from filesystem strings self.args = convertArgsUnicode(args) self.options = options self.openeventfiles = [] self.startupdone = False self.splash = None def openMainWindow(self, args): """Open the main window with any loaded files.""" from veusz.windows.mainwindow import MainWindow emptywins = [] for w in self.topLevelWidgets(): if isinstance(w, MainWindow) and w.document.isBlank(): emptywins.append(w) if len(args) > 1: # load in filenames given for filename in args[1:]: if not emptywins: MainWindow.CreateWindow(filename) else: emptywins[0].openFile(filename) else: # create blank window MainWindow.CreateWindow() def checkOpen(self): """If startup complete, open any files.""" if self.startupdone: self.openMainWindow([None] + self.openeventfiles) del self.openeventfiles[:] else: qt4.QTimer.singleShot(100, self.checkOpen) def event(self, event): """Handle events. This is the only way to get the FileOpen event.""" if event.type() == qt4.QEvent.FileOpen: self.openeventfiles.append(event.file()) # need to wait until startup has finished qt4.QTimer.singleShot(100, self.checkOpen) return True return qt4.QApplication.event(self, event) def startup(self): """Do startup.""" if not (self.options.listen or self.options.export): # show the splash screen on normal start self.splash = qt4.QSplashScreen(makeSplashLogo()) self.splash.show() # optionally load a translation if self.options.translation: trans = qt4.QTranslator() trans.load(self.options.translation) self.installTranslator(trans) self.thread = ImportThread() self.thread.finished.connect(self.slotStartApplication) self.thread.start() def slotStartApplication(self): """Start app, after modules imported.""" options = self.options args = self.args from veusz.utils import vzdbus, vzsamp vzdbus.setup() vzsamp.setup() from veusz import document from veusz import setting # install exception hook after thread has finished sys.excepthook = excepthook # for people who want to run any old script setting.transient_settings['unsafe_mode'] = bool( options.unsafe_mode) # load any requested plugins if options.plugin: document.Document.loadPlugins(pluginlist=options.plugin) # different modes if options.listen: # listen to incoming commands listen(args, quiet=options.quiet) elif options.export: export(options.export, args) self.quit() sys.exit(0) else: # standard start main window self.openMainWindow(args) self.startupdone = True # clear splash when startup done if self.splash is not None: self.splash.finish(self.topLevelWidgets()[0]) def run(): '''Run the main application.''' # nasty workaround for bug that causes non-modal windows not to # appear on mac see # https://github.com/jeremysanders/veusz/issues/39 if sys.platform == 'darwin': import glob for f in glob.glob(os.environ['HOME'] + '/Library/Saved Application State/org.python.veusz.*/*'): os.unlink(f) # jump to the embedding client entry point if required if len(sys.argv) == 2 and sys.argv[1] == '--embed-remote': from veusz.embed_remote import runremote runremote() return # this function is spaghetti-like and has nasty code paths. # the idea is to postpone the imports until the splash screen # is shown app = VeuszApp(sys.argv) app.startup() app.exec_() # if ran as a program if __name__ == '__main__': #import cProfile #cProfile.run('run()', 'outprofile.dat') run() veusz-1.21.1/veusz/veusz_listen.py0000755000175000017500000001146312327177747015441 0ustar jssjss#!/usr/bin/env python # Copyright (C) 2005 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """ Veusz interface which listens to stdin, and receives commands. Results are written to stdout All commands in CommandInterface are supported, plus further commands: Quit: exit the listening program Zoom x: Change the zoom factor of the plot to x """ from __future__ import division import sys from . import qtall as qt4 from .compat import cstr from .windows.simplewindow import SimpleWindow from . import document class ReadingThread(qt4.QThread): """Stdin reading thread. Emits newline signals with new data. We could use a QSocketNotifier on Unix, but this doesn't work on Windows as its stdin is a weird object """ newline = qt4.pyqtSignal(cstr) def run(self): """Emit lines read from stdin.""" while True: line = sys.stdin.readline() if line == '': break self.newline.emit(line) class InputListener(qt4.QObject): """Class reads text from stdin, in order to send commands to a document.""" def __init__(self, window): """Initialse the listening object to send commands to the document given by window.""" qt4.QObject.__init__(self) self.window = window self.document = window.document self.plot = window.plot self.pickle = False self.ci = document.CommandInterpreter(self.document) self.ci.addCommand('Quit', self.quitProgram) self.ci.addCommand('Zoom', self.plotZoom) self.ci.addCommand('EnableToolbar', self.enableToolbar) self.ci.addCommand('Pickle', self.enablePickle) self.ci.addCommand('ResizeWindow', self.resizeWindow) self.ci.addCommand('SetUpdateInterval', self.setUpdateInterval) self.ci.addCommand('MoveToPage', self.moveToPage) # reading is done in a separate thread so as not to block self.readthread = ReadingThread(self) self.readthread.newline.connect(self.processLine) self.readthread.start() def resizeWindow(self, width, height): """ResizeWindow(width, height) Resize the window to be width x height pixels.""" self.window.resize(width, height) def setUpdateInterval(self, interval): """SetUpdateInterval(interval) Set graph update interval. interval is in milliseconds (ms) set to zero to disable updates """ self.plot.setTimeout(interval) def moveToPage(self, pagenum): """MoveToPage(pagenum) Tell window to show specified pagenumber (starting from 1). """ self.plot.setPageNumber(pagenum-1) def quitProgram(self): """Exit the program.""" self.window.close() def plotZoom(self, zoomfactor): """Set the plot zoom factor.""" self.window.setZoom(zoomfactor) def enableToolbar(self, enable=True): """Enable plot toolbar.""" self.window.enableToolbar(enable) def enablePickle(self, on=True): """Enable/disable pickling of commands to/data from veusz""" self.pickle = on def processLine(self, line): """Process inputted line.""" if self.pickle: # line is repr form of pickled string get get rid of \n retn = self.ci.runPickle( eval(line.strip()) ) sys.stdout.write('%s\n' % repr(retn)) sys.stdout.flush() else: self.ci.run(line) def openWindow(args, quiet=False): '''Opening listening window. args is a list of arguments to the program ''' global _win global _listen if len(args) > 1: name = args[1] else: name = 'Veusz output' _win = SimpleWindow(name) if not quiet: _win.show() _listen = InputListener(_win) def run(): '''Actually run the program.''' app = qt4.QApplication(sys.argv) openWindow(sys.argv) app.exec_() # if ran as a program if __name__ == '__main__': run() veusz-1.21.1/veusz/embed.py0000664000175000017500000004652112346112416013744 0ustar jssjss# A module for embedding Veusz within another python program # Copyright (C) 2005 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """This module allows veusz to be embedded within other Python programs. For example: import time import numpy import veusz.embed as veusz g = veusz.Embedded('new win') g.To( g.Add('page') ) g.To( g.Add('graph') ) g.SetData('x', numpy.arange(20)) g.SetData('y', numpy.arange(20)**2) g.Add('xy') g.Zoom(0.5) time.sleep(60) g.Close() More than one embedded window can be opened at once """ from __future__ import division import atexit import sys import os import os.path import struct import socket import subprocess import time import uuid import functools import types # python3 compatibility try: import cPickle as pickle except ImportError: import pickle # check remote process has this API version API_VERSION = 2 def findOnPath(cmd): """Find a command on the system path, or None if does not exist.""" path = os.getenv('PATH', os.path.defpath) pathparts = path.split(os.path.pathsep) for dirname in pathparts: cmdtry = os.path.join(dirname, cmd) if os.path.isfile(cmdtry): return cmdtry return None class Embedded(object): """An embedded instance of Veusz. This embedded instance supports all the normal veusz functions """ remote = None def __init__(self, name='Veusz', copyof=None, hidden=False): """Initialse the embedded veusz window. name is the name of the window to show. copyof duplicates a view of the document in the Embedded instance given hidden makes a hidden window (useful for batch scripting) """ if not Embedded.remote: Embedded.startRemote() if not copyof: retval = self.sendCommand( (-1, '_NewWindow', (name,), {'hidden': hidden}) ) else: retval = self.sendCommand( (-1, '_NewWindowCopy', (name, copyof.winno), {'hidden': hidden}) ) self.winno, cmds = retval # add methods corresponding to Veusz commands for name, doc in cmds: func = functools.partial(self.runCommand, name) func.__doc__ = doc # set docstring func.__name__ = name # make name match what it calls method = types.MethodType(func, self) setattr(self, name, method) # assign to self # check API version is same try: remotever = self._apiVersion() except AttributeError: remotever = 0 if remotever != API_VERSION: raise RuntimeError("Remote Veusz instance reports version %i of" " API. This embed.py supports version %i." % (remotever, API_VERSION)) # define root object self.Root = WidgetNode(self, 'widget', '/') def StartSecondView(self, name = 'Veusz'): """Provides a second view onto the document of this window. Returns an Embedded instance """ return Embedded(name=name, copyof=self) def WaitForClose(self): """Wait for the window to close.""" # this is messy, polling for closure, but cleaner than doing # it in the remote client while not self.IsClosed(): time.sleep(0.1) @classmethod def makeSockets(cls): """Make socket(s) to communicate with remote process. Returns string to send to remote process """ if ( hasattr(socket, 'AF_UNIX') and hasattr(socket, 'socketpair') ): # convenient interface cls.sockfamily = socket.AF_UNIX sock, socket2 = socket.socketpair(cls.sockfamily, socket.SOCK_STREAM) # socket is closed on popen in Python 3.4+ without this (PEP 446) try: os.set_inheritable(socket2.fileno(), True) except AttributeError: pass sendtext = 'unix %i\n' % socket2.fileno() cls.socket2 = socket2 # prevent socket being destroyed waitaccept = False else: # otherwise mess around with internet sockets # * This is required for windows, which doesn't have AF_UNIX # * It is required where socketpair is not supported cls.sockfamily = socket.AF_INET sock = socket.socket(cls.sockfamily, socket.SOCK_STREAM) sock.bind( ('localhost', 0) ) interface, port = sock.getsockname() sock.listen(1) sendtext = 'internet %s %i\n' % (interface, port) waitaccept = True return (sock, sendtext.encode('ascii'), waitaccept) @classmethod def makeRemoteProcess(cls): """Try to find veusz process for remote program.""" # here's where to look for embed_remote.py thisdir = os.path.dirname(os.path.abspath(__file__)) # build up a list of possible command lines to start the remote veusz if sys.platform == 'win32': # windows is a special case # we need to run embed_remote.py under pythonw.exe, not python.exe # look for the python windows interpreter on path findpython = findOnPath('pythonw.exe') if not findpython: # if it wasn't on the path, use sys.prefix instead findpython = os.path.join(sys.prefix, 'pythonw.exe') # look for veusz executable on path findexe = findOnPath('veusz.exe') if not findexe: try: # add the usual place as a guess :-( findexe = os.path.join(os.environ['ProgramFiles'], 'Veusz', 'veusz.exe') except KeyError: pass # here is the list of commands to try possiblecommands = [ [findpython, os.path.join(thisdir, 'veusz_main.py')], [findexe] ] else: executable = sys.executable # try embed_remote.py in this directory, veusz in this directory # or veusz on the path in order possiblecommands = [ [executable, os.path.join(thisdir, 'veusz_main.py')], [os.path.join(thisdir, 'veusz')], [findOnPath('veusz')] ] # cheat and look for Veusz app for MacOS under the standard application # directory. I don't know how else to find it :-( if sys.platform == 'darwin': findbundle = findOnPath('Veusz.app') if findbundle: possiblecommands += [ [findbundle+'/Contents/MacOS/Veusz'] ] else: possiblecommands += [[ '/Applications/Veusz.app/Contents/MacOS/Veusz' ]] possiblecommands += [[ os.path.expanduser('~/Applications/Veusz.app/Contents/MacOS/Veusz')]] for cmd in possiblecommands: # only try to run commands that exist as error handling # does not work well when interfacing with OS (especially Windows) if ( None not in cmd and False not in [os.path.isfile(c) for c in cmd] ): try: # we don't use stdout below, but works around windows bug # http://bugs.python.org/issue1124861 cls.remote = subprocess.Popen(cmd + ['--embed-remote'], shell=False, bufsize=0, close_fds=False, stdin=subprocess.PIPE, stdout=subprocess.PIPE) return except OSError: pass raise RuntimeError('Unable to find a veusz executable on system path') @classmethod def startRemote(cls): """Start remote process.""" cls.serv_socket, sendtext, waitaccept = cls.makeSockets() cls.makeRemoteProcess() stdin = cls.remote.stdin # send socket number over pipe stdin.write( sendtext ) # accept connection if necessary if waitaccept: cls.serv_socket, address = cls.serv_socket.accept() # Send a secret to the remote program by secure route and # check it comes back. This is to check that no program has # secretly connected on our port, which isn't really useful # for AF_UNIX sockets. secret = (str(uuid.uuid4()) + '\n').encode('ascii') stdin.write(secret) secretback = cls.readLenFromSocket(cls.serv_socket, len(secret)) if secret != secretback: raise RuntimeError("Security between client and server broken") # packet length for command bytes cls.cmdlen = struct.calcsize('" % (self.__class__.__name__, repr(self._path), self._type) def fromPath(self, path): """Return a new Node for the path given.""" wtype = self._ci.NodeType(path) if wtype == 'widget': return WidgetNode(self._ci, wtype, path) elif wtype == 'setting': return SettingNode(self._ci, wtype, path) else: return SettingGroupNode(self._ci, wtype, path) @property def path(self): """Veusz full path to node""" return self._path @property def type(self): """Type of node: 'widget', 'settinggroup', or 'setting'""" return self._type def _joinPath(self, child): """Return new path of child.""" if self._path == '/': return '/' + child else: return self._path + '/' + child def __getitem__(self, key): """Return a child widget, settinggroup or setting.""" if self._type != 'setting': try: return self.fromPath(self._joinPath(key)) except ValueError: pass raise KeyError("%s does not have key or child '%s'" % ( self.__class__.__name__, key)) def __getattr__(self, attr): """Return a child widget, settinggroup or setting.""" if self._type == 'setting': pass elif attr[:2] != '__': try: return self.fromPath(self._joinPath(attr)) except ValueError: pass raise AttributeError("%s does not have attribute or child '%s'" % ( self.__class__.__name__, attr)) # boring ways to get children of nodes @property def children(self): """Generator to get children as Nodes.""" for c in self._ci.NodeChildren(self._path): yield self.fromPath(self._joinPath(c)) @property def children_widgets(self): """Generator to get child widgets as Nodes.""" for c in self._ci.NodeChildren(self._path, types='widget'): yield self.fromPath(self._joinPath(c)) @property def children_settings(self): """Generator to get child settings as Nodes.""" for c in self._ci.NodeChildren(self._path, types='setting'): yield self.fromPath(self._joinPath(c)) @property def children_settinggroups(self): """Generator to get child settingsgroups as Nodes.""" for c in self._ci.NodeChildren(self._path, types='settinggroup'): yield self.fromPath(self._joinPath(c)) @property def childnames(self): """Get names of children.""" return self._ci.NodeChildren(self._path) @property def childnames_widgets(self): """Get names of children widgets.""" return self._ci.NodeChildren(self._path, types='widget') @property def childnames_settings(self): """Get names of child settings.""" return self._ci.NodeChildren(self._path, types='setting') @property def childnames_settinggroups(self): """Get names of child setting groups""" return self._ci.NodeChildren(self._path, types='settinggroup') @property def parent(self): """Return parent of node.""" if self._path == '/': raise TypeError("Cannot get parent node of root node""") p = self._path.split('/')[:-1] if p == ['']: newpath = '/' else: newpath = '/'.join(p) return self.fromPath(newpath) @property def name(self): """Get name of node.""" if self._path == '/': return self._path else: return self._path.split('/')[-1] class SettingNode(Node): """A node which is a setting.""" def _getVal(self): """The value of a setting.""" if self._type == 'setting': return self._ci.Get(self._path) raise TypeError("Cannot get value unless is a setting""") def _setVal(self, val): if self._type == 'setting': self._ci.Set(self._path, val) else: raise TypeError("Cannot set value unless is a setting.""") val = property(_getVal, _setVal) @property def isreference(self): """Is this setting set to a reference to another setting?.""" ref = self._ci.ResolveReference(self._path) return bool(ref) def resolveReference(self): """If this is set to a reference to a setting, return a new SettingNode to the original setting. If there are a chain of references, follow them to the target. Returns None if this setting is not set to a reference. """ real = self._ci.ResolveReference(self._path) if not real: return None return self.fromPath(real) def setToReference(self, othernode): """Make this setting point to another setting, by creating a reference. References can be chained. Note that the absolute path is used to specify a reference, so moving affected widgets around will destroy the link.""" if not isinstance(othernode, SettingNode): raise ValueError("othernode is not a SettingNode") self._ci.SetToReference(self._path, othernode._path) @property def settingtype(self): """Get the type of setting, which is a string.""" return self._ci.SettingType(self._path) class SettingGroupNode(Node): """A node containing a group of settings.""" pass class WidgetNode(Node): """A node pointing to a widget.""" @property def widgettype(self): """Get Veusz type of widget.""" return self._ci.WidgetType(self.path) def WalkWidgets(self, widgettype=None): """Generator to walk widget tree and get this widget and the widgets below this WidgetNode of type given. widgettype is a Veusz widget type name or None to get all widgets.""" if widgettype is None or self._ci.WidgetType(self._path) == widgettype: yield self for child in self.children_widgets: for w in child.WalkWidgets(widgettype=widgettype): yield w def Add(self, widgettype, *args, **args_opt): """Add a widget of the type given, returning the Node instance. """ args_opt['widget'] = self._path name = self._ci.Add(widgettype, *args, **args_opt) return WidgetNode( self._ci, 'widget', self._joinPath(name) ) def Rename(self, newname): """Renames widget to name given.""" if self._path == '/': raise RuntimeError("Cannot rename root widget") self._ci.Rename(self._path, newname) self._path = '/'.join( self._path.split('/')[:-1] + [newname] ) def Action(self, action): """Applies action on widget.""" self._ci.Action(action, widget=self._path) def Remove(self): """Removes a widget and its children.""" self._ci.Remove(self._path) def Clone(self, newparent, newname=None): """Clone widget, placing at newparent. Uses newname if given. Returns new node.""" path = self._ci.CloneWidget(self._path, newparent._path, newname=newname) return WidgetNode( self._ci, 'widget', path ) veusz-1.21.1/veusz/setting/0000775000175000017500000000000012376130063013764 5ustar jssjssveusz-1.21.1/veusz/setting/collections.py0000644000175000017500000003524012327177747016676 0ustar jssjss# Copyright (C) 2005 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """Collections of predefined settings for common settings.""" from __future__ import division from .. import qtall as qt4 from . import setting from .settings import Settings from .reference import Reference def _(text, disambiguation=None, context="Setting"): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class Line(Settings): '''For holding properities of a line.''' def __init__(self, name, **args): Settings.__init__(self, name, **args) self.add( setting.Color('color', setting.Reference('/StyleSheet/Line/color'), descr = _('Color of line'), usertext=_('Color')) ) self.add( setting.DistancePt('width', setting.Reference('/StyleSheet/Line/width'), descr = _('Width of line'), usertext=_('Width')) ) self.add( setting.LineStyle('style', 'solid', descr = _('Line style'), usertext=_('Style')) ) self.add( setting.Int( 'transparency', 0, descr = _('Transparency percentage'), usertext = _('Transparency'), minval = 0, maxval = 100 ) ) self.add( setting.Bool('hide', False, descr = _('Hide the line'), usertext=_('Hide')) ) def makeQPen(self, painthelper): '''Make a QPen from the description. This currently ignores the hide attribute ''' color = qt4.QColor(self.color) color.setAlphaF( (100-self.transparency) / 100.) width = self.get('width').convert(painthelper) style, dashpattern = setting.LineStyle._linecnvt[self.style] pen = qt4.QPen( color, width, style ) if dashpattern: pen.setDashPattern(dashpattern) return pen def makeQPenWHide(self, painthelper): """Make a pen, taking account of hide attribute.""" if self.hide: return qt4.QPen(qt4.Qt.NoPen) else: return self.makeQPen(painthelper) class XYPlotLine(Line): '''A plot line for plotting data, allowing histogram-steps to be plotted.''' def __init__(self, name, **args): Line.__init__(self, name, **args) self.add( setting.Choice('steps', ['off', 'left', 'centre', 'right', 'left-shift-points', 'right-shift-points', 'vcentre'], 'off', descr=_('Plot horizontal steps ' 'instead of a line'), usertext=_('Steps')), 0 ) self.add( setting.Bool('bezierJoin', False, descr=_('Connect points with a cubic Bezier curve'), usertext=_('Bezier join')), 1 ) self.get('color').newDefault( Reference('../color') ) class MarkerLine(Line): '''A line for marker border.''' def __init__(self, name, **args): Line.__init__(self, name, **args) self.add( setting.Bool('scaleLine', True, descr=_('Scale line width with marker if scaling' ' enabled'), usertext=_('Scale')), 4 ) class ErrorBarLine(Line): '''A line style for error bar plotting.''' def __init__(self, name, **args): Line.__init__(self, name, **args) self.add( setting.Float('endsize', 1.0, minval = 0., descr=_('Scale ends of error bars by this factor'), usertext = _('End size')) ) self.add( setting.Bool('hideHorz', False, descr = _('Hide horizontal errors'), usertext=_('Hide horz.')) ) self.add( setting.Bool('hideVert', False, descr = _('Hide vertical errors'), usertext=_('Hide vert.')) ) class Brush(Settings): '''Settings of a fill.''' def __init__(self, name, **args): Settings.__init__(self, name, **args) self.add( setting.Color( 'color', 'black', descr = _('Fill colour'), usertext=_('Color')) ) self.add( setting.FillStyle( 'style', 'solid', descr = _('Fill style'), usertext=_('Style')) ) self.add( setting.Int( 'transparency', 0, descr = _('Transparency percentage'), usertext = _('Transparency'), minval = 0, maxval = 100 ) ) self.add( setting.Bool( 'hide', False, descr = _('Hide the fill'), usertext=_('Hide')) ) def makeQBrush(self): '''Make a qbrush from the settings.''' color = qt4.QColor(self.color) color.setAlphaF( (100-self.transparency) / 100.) return qt4.QBrush( color, self.get('style').qtStyle() ) def makeQBrushWHide(self): """Make a brush, taking account of hide attribute.""" if self.hide: return qt4.QBrush() else: return self.makeQBrush() class BrushExtended(Settings): '''Extended brush style.''' def __init__(self, name, **args): Settings.__init__(self, name, **args) self.add( setting.Color( 'color', 'black', descr = _('Fill colour'), usertext=_('Color')) ) self.add( setting.FillStyleExtended( 'style', 'solid', descr = _('Fill style'), usertext=_('Style')) ) self.add( setting.Bool( 'hide', False, descr = _('Hide the fill'), usertext=_('Hide')) ) self.add( setting.Int( 'transparency', 0, descr = _('Transparency percentage'), usertext = _('Transparency'), minval = 0, maxval = 100 ) ) self.add( setting.DistancePt( 'linewidth', '0.5pt', descr = _('Width of hatch or pattern line'), usertext=_('Line width')) ) self.add( setting.LineStyle( 'linestyle', 'solid', descr = _('Hatch or pattern line style'), usertext=_('Line style')) ) self.add( setting.DistancePt( 'patternspacing', '5pt', descr = _('Hatch or pattern spacing'), usertext = _('Spacing')) ) self.add( setting.Color( 'backcolor', 'white', descr = _('Hatch or pattern background color'), usertext = _('Back color') ) ) self.add( setting.Int( 'backtransparency', 0, descr = _('Hatch or pattern background transparency percentage'), usertext = _('Back trans.'), minval = 0, maxval = 100 ) ) self.add( setting.Bool( 'backhide', True, descr = _('Hide hatch or pattern background'), usertext=_('Back hide')) ) class KeyBrush(BrushExtended): '''Fill used for back of key.''' def __init__(self, name, **args): BrushExtended.__init__(self, name, **args) self.get('color').newDefault('white') class BoxPlotMarkerFillBrush(Brush): '''Fill used for points on box plots.''' def __init__(self, name, **args): Brush.__init__(self, name, **args) self.get('color').newDefault('white') class GraphBrush(BrushExtended): '''Fill used for back of graph.''' def __init__(self, name, **args): BrushExtended.__init__(self, name, **args) self.get('color').newDefault('white') class PlotterFill(BrushExtended): '''Filling used for filling on plotters.''' def __init__(self, name, **args): BrushExtended.__init__(self, name, **args) self.get('hide').newDefault(True) class PointFill(BrushExtended): '''Filling used for filling above/below line or inside error region for xy-point plotters. ''' def __init__(self, name, **args): BrushExtended.__init__(self, name, **args) hide = self.get('hide') hide.newDefault(True) hide.usertext = _('Hide edge fill') hide.descr = _('Hide the filled region to the edge of the plot') self.get('color').newDefault('grey') self.add( setting.Choice( 'fillto', ['top', 'bottom', 'left', 'right'], 'top', descr=_('Edge to fill towards'), usertext=_('Fill to')), 0) self.add( setting.Bool( 'hideerror', False, descr = _('Hide the filled region inside the error bars'), usertext=_('Hide error fill')) ) class ShapeFill(BrushExtended): '''Filling used for filling shapes.''' def __init__(self, name, **args): BrushExtended.__init__(self, name, **args) self.get('hide').newDefault(True) self.get('color').newDefault('white') class ArrowFill(Brush): """Brush for filling arrow heads""" def __init__(self, name, **args): Brush.__init__(self, name, **args) self.get('color').newDefault( setting.Reference( '../Line/color') ) class Text(Settings): '''Text settings.''' # need to examine font table to see what's available # this is set on app startup defaultfamily = None families = None def __init__(self, name, **args): Settings.__init__(self, name, **args) self.add( setting.FontFamily('font', setting.Reference('/StyleSheet/Font/font'), descr = _('Font name'), usertext=_('Font')) ) self.add( setting.DistancePt('size', setting.Reference('/StyleSheet/Font/size'), descr = _('Font size'), usertext=_('Size') ) ) self.add( setting.Color( 'color', setting.Reference('/StyleSheet/Font/color'), descr = _('Font color'), usertext=_('Color') ) ) self.add( setting.Bool( 'italic', False, descr = _('Italic font'), usertext=_('Italic') ) ) self.add( setting.Bool( 'bold', False, descr = _('Bold font'), usertext=_('Bold') ) ) self.add( setting.Bool( 'underline', False, descr = _('Underline font'), usertext=_('Underline') ) ) self.add( setting.Bool( 'hide', False, descr = _('Hide the text'), usertext=_('Hide')) ) def copy(self): """Make copy of settings.""" c = Settings.copy(self) c.defaultfamily = self.defaultfamily c.families = self.families return c def makeQFont(self, painthelper): '''Return a qt4.QFont object corresponding to the settings.''' size = self.get('size').convertPts(painthelper) weight = qt4.QFont.Normal if self.bold: weight = qt4.QFont.Bold f = qt4.QFont(self.font, size, weight, self.italic) if self.underline: f.setUnderline(True) f.setStyleHint(qt4.QFont.Times) return f def makeQPen(self): """ Return a qt4.QPen object for the font pen """ return qt4.QPen(qt4.QColor(self.color)) class PointLabel(Text): """For labelling points on plots.""" def __init__(self, name, **args): Text.__init__(self, name, **args) self.add( setting.Float('angle', 0., descr=_('Angle of the labels in degrees'), usertext=_('Angle'), formatting=True), 0 ) self.add( setting.AlignVert('posnVert', 'centre', descr=_('Vertical position of label'), usertext=_('Vert position'), formatting=True), 0 ) self.add( setting.AlignHorz('posnHorz', 'right', descr=_('Horizontal position of label'), usertext=_('Horz position'), formatting=True), 0 ) class MarkerColor(Settings): """Settings for a coloring points using data values.""" def __init__(self, name): Settings.__init__(self, name, setnsmode='groupedsetting') self.add( setting.DatasetExtended( 'points', '', descr = _('Use color value (0-1) in dataset to paint points'), usertext=_('Color markers')), 7 ) self.add( setting.Float( 'min', 0., descr = _('Minimum value of color dataset'), usertext = _('Min val') )) self.add( setting.Float( 'max', 1., descr = _('Maximum value of color dataset'), usertext = _('Max val') )) self.add( setting.Choice( 'scaling', ['linear', 'sqrt', 'log', 'squared'], 'linear', descr = _('Scaling to transform numbers to color'), usertext=_('Scaling'))) veusz-1.21.1/veusz/setting/settings.py0000644000175000017500000002117512327177747016222 0ustar jssjss# Copyright (C) 2005 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### """Module for holding collections of settings.""" from __future__ import division from ..compat import citems from .reference import Reference, ReferenceMultiple class Settings(object): """A class for holding collections of settings.""" # differentiate widgets, settings and setting nodetype = 'settings' def __init__(self, name, descr = '', usertext='', pixmap='', setnsmode='formatting'): """A new Settings with a name. name: name in hierarchy descr: description (for user) usertext: name for user of class pixmap: pixmap to show in tab (if appropriate) setnsmode: type of Settings class, one of ('formatting', 'groupedsetting', 'widgetsettings', 'stylesheet') """ self.__dict__['setdict'] = {} self.name = name self.descr = descr self.usertext = usertext self.pixmap = pixmap self.setnsmode = setnsmode self.setnames = [] # a list of names self.parent = None def copy(self): """Make a copy of the settings and its subsettings.""" s = Settings( self.name, descr=self.descr, usertext=self.usertext, pixmap=self.pixmap, setnsmode=self.setnsmode ) for name in self.setnames: s.add( self.setdict[name].copy() ) return s def isWidget(self): """Is this object a widget?""" return False def getList(self): """Get a list of setting or settings types.""" return [self.setdict[n] for n in self.setnames] def getSettingList(self): """Get a list of setting types.""" return [self.setdict[n] for n in self.setnames if not isinstance(self.setdict[n], Settings)] def getSettingsList(self): """Get a list of settings types.""" return [self.setdict[n] for n in self.setnames if isinstance(self.setdict[n], Settings)] def getNames(self): """Return list of names.""" return self.setnames def getSettingNames(self): """Get list of setting names.""" return [n for n in self.setnames if not isinstance(self.setdict[n], Settings)] def getSettingsNames(self): """Get list of settings names.""" return [n for n in self.setnames if isinstance(self.setdict[n], Settings)] def isSetting(self, name): """Is the name a supported setting?""" return name in self.setdict def add(self, setting, posn = -1, readonly = False, pixmap=None): """Add a new setting with the name, or a set of subsettings.""" name = setting.name if name in self.setdict: raise RuntimeError("Name already in settings dictionary") self.setdict[name] = setting if posn < 0: self.setnames.append(name) else: self.setnames.insert(posn, name) setting.parent = self if pixmap: setting.pixmap = pixmap if readonly: setting.readonly = True def remove(self, name): """Remove name from the list of settings.""" del self.setnames[ self.setnames.index( name ) ] del self.setdict[ name ] def __setattr__(self, name, val): """Allow us to do foo.setname = 42 """ d = self.__dict__['setdict'] if name in d: d[name].val = val else: self.__dict__[name] = val def __getattr__(self, name): """Allow us to do print foo.setname """ try: s = self.__dict__['setdict'][name] if isinstance(s, Settings): return s return s.val except KeyError: pass try: return self.__dict__[name] except KeyError: raise AttributeError("'%s' is not a setting" % name) def __getitem__(self, name): """Also allows us to do print foo['setname'] """ d = self.__dict__['setdict'] try: s = d[name] if isinstance(s, Settings): return s else: return s.val except KeyError: raise KeyError("'%s' is not a setting" % name) def __contains__(self, name): """Whether settings contains name.""" return name in self.__dict__['setdict'] def get(self, name = None): """Get the setting variable.""" if name is None: return self else: return self.setdict[name] def getFromPath(self, path): """Get setting according to the path given as a list.""" name = path[0] if name in self.setdict: val = self.setdict[name] if len(path) == 1: if isinstance(val, Settings): raise ValueError( '"%s" is a list of settings, not a setting' % name) else: return val else: if isinstance(val, Settings): return val.getFromPath(path[1:]) else: raise ValueError('"%s" not a valid subsetting' % name) else: raise ValueError('"%s" is not a setting' % name) def saveText(self, saveall, rootname = None): """Return the text which would reload the settings. if saveall is true, save those which haven't been modified. rootname is the part to stick on the front of the settings """ # we want to build the root up if we're not the first item # (first item is implicit) if rootname is None: rootname = '' else: rootname += self.name + '/' text = ''.join( [self.setdict[name].saveText(saveall, rootname) for name in self.setnames] ) return text def readDefaults(self, root, widgetname): """Return default values from saved text. root is the path of the setting in the db, built up by settings above this one widgetname is the name of the widget this setting belongs to """ root = '%s/%s' % (root, self.name) for s in list(self.setdict.values()): s.readDefaults(root, widgetname) def linkToStylesheet(self, _root=None): """Link the settings within this Settings to a stylesheet. _root is an internal parameter as this function is recursive.""" # build up root part of pathname to reference if _root is None: path = [] obj = self while not obj.parent.isWidget(): path.insert(0, obj.name) obj = obj.parent path = ['', 'StyleSheet', obj.parent.typename] + path + [''] _root = '/'.join(path) # iterate over subsettings for name, setn in citems(self.setdict): thispath = _root + name if isinstance(setn, Settings): # call recursively if this is a Settings setn.linkToStylesheet(_root=thispath+'/') else: # check that reference resolves ref = Reference(thispath) try: ref.resolve(setn) except Reference.ResolveException: # leave it as it was pass else: if setn.isReference() and setn.getReference().split[0] == '..': # convert a relative path to multiple references paths = [thispath, setn.getReference().value] ref = ReferenceMultiple(paths) setn.set(ref) setn.default = ref veusz-1.21.1/veusz/setting/setting.py0000664000175000017500000016627312376130006016027 0ustar jssjss# Copyright (C) 2005 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### """Module for holding setting values. e.g. s = Int('foo', 5) s.get() s.set(42) s.fromText('42') """ from __future__ import division import re import sys import numpy as N from ..compat import cbasestr, cstr, crepr from .. import qtall as qt4 from . import controls from .settingdb import settingdb, uilocale, ui_floattostring, ui_stringtofloat from .reference import ReferenceBase, Reference from .. import utils class OnModified(qt4.QObject): """onmodified is emitted from an object contained in each setting.""" onModified = qt4.pyqtSignal() class Setting(object): """A class to store a value with a particular type.""" # differentiate widgets, settings and setting nodetype = 'setting' typename = 'setting' def __init__(self, name, value, descr='', usertext='', formatting=False, hidden=False): """Initialise the values. name: setting name value: default value and initial value descr: description of the setting usertext: name of setting for user formatting: whether setting applies to formatting hidden: hide widget from user """ self.readonly = False self.parent = None self.name = name self.descr = descr self.usertext = usertext self.formatting = formatting self.hidden = hidden self.default = value self.onmodified = OnModified() self._val = None # calls the set function for the val property self.val = value def isWidget(self): """Is this object a widget?""" return False def _copyHelper(self, before, after, optional): """Help copy an object. before are arguments before val after are arguments after val optinal as optional arguments """ if isinstance(self._val, ReferenceBase): val = self._val else: val = self.val args = (self.name,) + before + (val,) + after opt = optional.copy() opt['descr'] = self.descr opt['usertext'] = self.usertext opt['formatting'] = self.formatting opt['hidden'] = self.hidden obj = self.__class__(*args, **opt) obj.readonly = self.readonly obj.default = self.default return obj def copy(self): """Make a setting which has its values copied from this one. This needs to be overridden if the constructor changes """ return self._copyHelper((), (), {}) def get(self): """Get the value.""" if isinstance(self._val, ReferenceBase): return self._val.resolve(self).get() else: return self.convertFrom(self._val) def set(self, v): """Set the value.""" if isinstance(v, ReferenceBase): self._val = v else: # this also removes the linked value if there is one set self._val = self.convertTo(v) self.onmodified.onModified.emit() val = property(get, set, None, 'Get or modify the value of the setting') def isReference(self): """Is this a setting a reference to another object.""" return isinstance(self._val, ReferenceBase) def getReference(self): """Return the reference object. Raise ValueError if not a reference""" if isinstance(self._val, ReferenceBase): return self._val else: raise ValueError("Setting is not a reference") def getStylesheetLink(self): """Get text that this setting should default to linked to the stylesheet.""" path = [] obj = self while not obj.parent.isWidget(): path.insert(0, obj.name) obj = obj.parent path = ['', 'StyleSheet', obj.parent.typename] + path return '/'.join(path) def linkToStylesheet(self): """Make this setting link to stylesheet setting, if possible.""" self.set( Reference(self.getStylesheetLink()) ) def _path(self): """Return full path of setting.""" path = [] obj = self while obj is not None: # logic easier to understand here # do not add settings name for settings of widget if not obj.isWidget() and obj.parent.isWidget(): pass else: if obj.name == '/': path.insert(0, '') else: path.insert(0, obj.name) obj = obj.parent return '/'.join(path) path = property(_path, None, None, 'Return the full path of the setting') def toText(self): """Convert the type to text for saving.""" return "" def fromText(self, text): """Convert text to type suitable for setting. Raises utils.InvalidType if cannot convert.""" return None def readDefaults(self, root, widgetname): """Check whether the user has a default for this setting.""" deftext = None unnamedpath = '%s/%s' % (root, self.name) try: deftext = settingdb[unnamedpath] except KeyError: pass # named defaults supersedes normal defaults namedpath = '%s_NAME:%s' % (widgetname, unnamedpath) try: deftext = settingdb[namedpath] except KeyError: pass if deftext is not None: self.val = self.fromText(deftext) self.default = self.val def removeDefault(self): """Remove the default setting for this setting.""" # build up setting path path = '' item = self while not item.isWidget(): path = '/%s%s' % (item.name, path) item = item.parent # remove the settings (ignore if they are not set) if path in settingdb: del settingdb[path] # specific setting to this widgetname namedpath = '%s_NAME:%s' % (item.name, path) if namedpath in settingdb: del settingdb[namedpath] def setAsDefault(self, withwidgetname = False): """Set the current value of this setting as the default value If withwidthname is True, then it is only the default for widgets of the particular name this setting is contained within.""" # build up setting path path = '' item = self while not item.isWidget(): path = '/%s%s' % (item.name, path) item = item.parent # if the setting is only for widgets with a certain name if withwidgetname: path = '%s_NAME:%s' % (item.name, path) # set the default settingdb[path] = self.toText() def saveText(self, saveall, rootname = ''): """Return text to restore the value of this setting.""" if (saveall or not self.isDefault()) and not self.readonly: if isinstance(self._val, ReferenceBase): return "SetToReference('%s%s', %s)\n" % (rootname, self.name, crepr(self._val.value)) else: return "Set('%s%s', %s)\n" % ( rootname, self.name, crepr(self.val) ) else: return '' def setOnModified(self, fn): """Set the function to be called on modification (passing True).""" self.onmodified.onModified.connect(fn) if isinstance(self._val, ReferenceBase): # tell references to notify us if they are modified self._val.setOnModified(self, fn) def removeOnModified(self, fn): """Remove the function from the list of function to be called.""" self.onmodified.onModified.disconnect(fn) def newDefault(self, value): """Update the default and the value.""" self.default = value self.val = value def isDefault(self): """Is the current value a default? This also returns true if it is linked to the appropriate stylesheet """ if ( isinstance(self._val, ReferenceBase) and isinstance(self.default, ReferenceBase) ): return self._val.value == self.default.value else: return self.val == self.default def isDefaultLink(self): """Is this a link to the default stylesheet value.""" return ( isinstance(self._val, ReferenceBase) and self._val.value == self.getStylesheetLink() ) def setSilent(self, val): """Set the setting, without propagating modified flags. This shouldn't often be used as it defeats the automatic updation. Used for temporary modifications.""" self._val = self.convertTo(val) def convertTo(self, val): """Convert for storage.""" return val def convertFrom(self, val): """Convert to storage.""" return val def makeControl(self, *args): """Make a qt control for editing the setting. The control emits settingValueChanged() when the setting has changed value.""" return None def getDocument(self): """Return document.""" p = self.parent while p: try: return p.getDocument() except AttributeError: pass p = p.parent return None def getWidget(self): """Return associated widget.""" w = self.parent while not w.isWidget(): w = w.parent return w def safeEvalHelper(self, text): """Evaluate an expression, catching naughtiness.""" try: comp = self.getDocument().compileCheckedExpression( text) if comp is None: raise utils.InvalidType return float( eval(comp, self.getDocument().eval_context) ) except: raise utils.InvalidType # forward setting to another setting class SettingBackwardCompat(Setting): """Forward setting requests to another setting. This is used for backward-compatibility. """ typename = 'backward-compat' def __init__(self, name, newrelpath, val, translatefn = None, **args): """Point this setting to another. newrelpath is a path relative to this setting's parent """ self.translatefn = translatefn Setting.__init__(self, name, val, **args) self.relpath = newrelpath.split('/') def getForward(self): """Get setting this setting forwards to.""" return self.parent.getFromPath(self.relpath) def convertTo(self, val): if self.parent is not None: return self.getForward().convertTo(val) def toText(self): return self.getForward().toText() def fromText(self, val): return self.getForward().fromText(val) def set(self, val): if self.parent is not None and not isinstance(val, ReferenceBase): if self.translatefn: val = self.translatefn(val) self.getForward().set(val) def isDefault(self): return self.getForward().isDefault() def get(self): return self.getForward().get() def copy(self): return self._copyHelper(('/'.join(self.relpath),), (), {'translatefn': self.translatefn}) def makeControl(self, *args): return None def saveText(self, saveall, rootname = ''): return '' def linkToStylesheet(self): """Do nothing for backward compatibility settings.""" pass # Store strings class Str(Setting): """String setting.""" typename = 'str' def convertTo(self, val): if isinstance(val, cbasestr): return val raise utils.InvalidType def toText(self): return self.val def fromText(self, text): return text def makeControl(self, *args): return controls.String(self, *args) class Notes(Str): """String for making notes.""" typename = 'str-notes' def makeControl(self, *args): return controls.Notes(self, *args) # Store bools class Bool(Setting): """Bool setting.""" typename = 'bool' def convertTo(self, val): if type(val) in (bool, int): return bool(val) raise utils.InvalidType def toText(self): if self.val: return 'True' else: return 'False' def fromText(self, text): t = text.strip().lower() if t in ('true', '1', 't', 'y', 'yes'): return True elif t in ('false', '0', 'f', 'n', 'no'): return False else: raise utils.InvalidType def makeControl(self, *args): return controls.Bool(self, *args) # Storing integers class Int(Setting): """Integer settings.""" typename = 'int' def __init__(self, name, value, minval=-1000000, maxval=1000000, **args): """Initialise the values. minval is minimum possible value of setting maxval is maximum possible value of setting """ self.minval = minval self.maxval = maxval Setting.__init__(self, name, value, **args) def copy(self): """Make a setting which has its values copied from this one. This needs to be overridden if the constructor changes """ return self._copyHelper((), (), {'minval': self.minval, 'maxval': self.maxval}) def convertTo(self, val): if isinstance(val, int): if val >= self.minval and val <= self.maxval: return val else: raise utils.InvalidType('Out of range allowed') raise utils.InvalidType def toText(self): return uilocale.toString(self.val) def fromText(self, text): i, ok = uilocale.toLongLong(text) if not ok: raise ValueError if i >= self.minval and i <= self.maxval: return i else: raise utils.InvalidType('Out of range allowed') def makeControl(self, *args): return controls.Int(self, *args) def _finiteRangeFloat(f, minval=-1e300, maxval=1e300): """Return a finite float in range or raise exception otherwise.""" f = float(f) if not N.isfinite(f): raise utils.InvalidType('Finite values only allowed') if f < minval or f > maxval: raise utils.InvalidType('Out of range allowed') return f # for storing floats class Float(Setting): """Float settings.""" typename = 'float' def __init__(self, name, value, minval=-1e200, maxval=1e200, **args): """Initialise the values. minval is minimum possible value of setting maxval is maximum possible value of setting """ self.minval = minval self.maxval = maxval Setting.__init__(self, name, value, **args) def copy(self): """Make a setting which has its values copied from this one. This needs to be overridden if the constructor changes """ return self._copyHelper((), (), {'minval': self.minval, 'maxval': self.maxval}) def convertTo(self, val): if isinstance(val, int) or isinstance(val, float): return _finiteRangeFloat(val, minval=self.minval, maxval=self.maxval) raise utils.InvalidType def toText(self): return ui_floattostring(self.val) def fromText(self, text): try: f = ui_stringtofloat(text) except ValueError: # try to evaluate f = self.safeEvalHelper(text) return self.convertTo(f) def makeControl(self, *args): return controls.Edit(self, *args) class FloatOrAuto(Float): """Save a float or text auto.""" typename = 'float-or-auto' def convertTo(self, val): if type(val) in (int, float): return _finiteRangeFloat(val, minval=self.minval, maxval=self.maxval) elif isinstance(val, cbasestr) and val.strip().lower() == 'auto': return None else: raise utils.InvalidType def convertFrom(self, val): if val is None: return 'Auto' else: return Float.convertFrom(self, val) def toText(self): if self.val is None or (isinstance(self.val, cbasestr) and self.val.lower() == 'auto'): return 'Auto' else: return ui_floattostring(self.val) def fromText(self, text): if text.strip().lower() == 'auto': return 'Auto' else: return Float.fromText(self, text) def makeControl(self, *args): return controls.Choice(self, True, ['Auto'], *args) class IntOrAuto(Setting): """Save an int or text auto.""" typename = 'int-or-auto' def convertTo(self, val): if isinstance(val, int): return val elif isinstance(val, cbasestr) and val.strip().lower() == 'auto': return None else: raise utils.InvalidType def convertFrom(self, val): if val is None: return 'Auto' else: return val def toText(self): if self.val is None or (isinstance(self.val, cbasestr) and self.val.lower() == 'auto'): return 'Auto' else: return uilocale.toString(self.val) def fromText(self, text): if text.strip().lower() == 'auto': return 'Auto' else: i, ok = uilocale.toLongLong(text) if not ok: raise utils.InvalidType return i def makeControl(self, *args): return controls.Choice(self, True, ['Auto'], *args) # these are functions used by the distance setting below. # they don't work as class methods def _distPhys(match, painter, mult): """Convert a physical unit measure in multiples of points.""" return (painter.pixperpt * mult * float(match.group(1)) * painter.scaling) def _idistval(val, unit): """Convert value to text, dropping zeros and . points on right.""" return ("%.3f" % val).rstrip('0').rstrip('.') + unit def _distInvPhys(pixdist, painter, mult, unit): """Convert number of pixels into physical distance.""" return _idistval( pixdist / (mult * painter.pixperpt * painter.scaling), unit ) def _distPerc(match, painter): """Convert from a percentage of maxsize.""" return painter.maxsize * 0.01 * float(match.group(1)) def _distInvPerc(pixdist, painter): """Convert pixel distance into percentage.""" return _idistval(pixdist * 100. / painter.maxsize, '%') def _distFrac(match, painter): """Convert from a fraction a/b of maxsize.""" try: return painter.maxsize * float(match.group(1))/float(match.group(4)) except ZeroDivisionError: return 0. def _distRatio(match, painter): """Convert from a simple 0.xx ratio of maxsize.""" # if it's greater than 1 then assume it's a point measurement if float(match.group(1)) > 1.: return _distPhys(match, painter, 1) return painter.maxsize * float(match.group(1)) # regular expression to match distances distre_expr = r'''^ [ ]* # optional whitespace (\.?[0-9]+|[0-9]+\.[0-9]*) # a floating point number [ ]* # whitespace (cm|pt|mm|inch|in|"|%|| # ( unit, no unit, (?P/) ) # or / ) (?(slash)[ ]* # if it was a slash, match any whitespace (\.?[0-9]+|[0-9]+\.[0-9]*)) # and match following fp number [ ]* # optional whitespace $''' class Distance(Setting): """A veusz distance measure, e.g. 1pt or 3%.""" typename = 'distance' # match a distance distre = re.compile(distre_expr, re.VERBOSE) # functions to convert from unit values to points unit_func = { 'cm': lambda match, painter: _distPhys(match, painter, 720/25.4), 'pt': lambda match, painter: _distPhys(match, painter, 1.), 'mm': lambda match, painter: _distPhys(match, painter, 72/25.4), 'in': lambda match, painter: _distPhys(match, painter, 72.), 'inch': lambda match, painter: _distPhys(match, painter, 72.), '"': lambda match, painter: _distPhys(match, painter, 72.), '%': _distPerc, '/': _distFrac, '': _distRatio } # inverse functions for converting points to units inv_unit_func = { 'cm': lambda match, painter: _distInvPhys(match, painter, 720/25.4, 'cm'), 'pt': lambda match, painter: _distInvPhys(match, painter, 1., 'pt'), 'mm': lambda match, painter: _distInvPhys(match, painter, 72/25.4, 'mm'), 'in': lambda match, painter: _distInvPhys(match, painter, 72., 'in'), 'inch': lambda match, painter: _distInvPhys(match, painter, 72., 'in'), '"': lambda match, painter: _distInvPhys(match, painter, 72., 'in'), '%': _distInvPerc, '/': _distInvPerc, '': _distInvPerc } @classmethod def isDist(kls, dist): """Is the text a valid distance measure?""" return kls.distre.match(dist) is not None def convertTo(self, val): if self.distre.match(val) is not None: return val else: raise utils.InvalidType def toText(self): # convert decimal point to display locale return self.val.replace('.', uilocale.decimalPoint()) def fromText(self, text): # convert decimal point from display locale text = text.replace(uilocale.decimalPoint(), '.') if self.isDist(text): return text else: raise utils.InvalidType def makeControl(self, *args): return controls.Distance(self, *args) @classmethod def convertDistance(kls, painter, dist): '''Convert a distance to plotter units. dist: eg 0.1 (fraction), 10% (percentage), 1/10 (fraction), 10pt, 1cm, 20mm, 1inch, 1in, 1" (size) maxsize: size fractions are relative to painter: painter to get metrics to convert physical sizes ''' # match distance against expression m = kls.distre.match(dist) if m is not None: # lookup function to call to do conversion func = kls.unit_func[m.group(2)] return func(m, painter) # none of the regexps match raise ValueError( "Cannot convert distance in form '%s'" % dist ) def convert(self, painter): """Convert this setting's distance as above""" return self.convertDistance(painter, self.val) def convertPts(self, painter): """Get the distance in points.""" return self.convert(painter) / painter.pixperpt def convertInverse(self, distpix, painter): """Convert distance in pixels into units of this distance. """ m = self.distre.match(self.val) if m is not None: # if it matches convert back inversefn = self.inv_unit_func[m.group(2)] else: # otherwise force unit inversefn = self.inv_unit_func['cm'] # do inverse mapping return inversefn(distpix, painter) class DistancePt(Distance): """For a distance in points.""" def makeControl(self, *args): return controls.DistancePt(self, *args) class DistancePhysical(Distance): """For physical distances (no fractional).""" def isDist(self, val): m = self.distre.match(val) if m: # disallow non-physical distances if m.group(2) not in ('/', '', '%'): return True return False def makeControl(self, *args): return controls.Distance(self, *args, physical=True) class DistanceOrAuto(Distance): """A distance or the value Auto""" typename = 'distance-or-auto' distre = re.compile( distre_expr + r'|^Auto$', re.VERBOSE ) def isAuto(self): return self.val == 'Auto' def makeControl(self, *args): return controls.Distance(self, allowauto=True, *args) class Choice(Setting): """One out of a list of strings.""" # maybe should be implemented as a dict to speed up checks typename = 'choice' def __init__(self, name, vallist, val, **args): """Setting val must be in vallist. descriptions is an optional addon to put a tooltip on each item in the control. """ assert type(vallist) in (list, tuple) self.vallist = vallist self.descriptions = args.get('descriptions', None) if self.descriptions: del args['descriptions'] Setting.__init__(self, name, val, **args) def copy(self): """Make a copy of the setting.""" return self._copyHelper((self.vallist,), (), {}) def convertTo(self, val): if val in self.vallist: return val else: raise utils.InvalidType def toText(self): return self.val def fromText(self, text): if text in self.vallist: return text else: raise utils.InvalidType def makeControl(self, *args): argsv = {'descriptions': self.descriptions} return controls.Choice(self, False, self.vallist, *args, **argsv) class ChoiceOrMore(Setting): """One out of a list of strings, or anything else.""" # maybe should be implemented as a dict to speed up checks typename = 'choice-or-more' def __init__(self, name, vallist, val, **args): """Setting has val must be in vallist. descriptions is an optional addon to put a tooltip on each item in the control """ self.vallist = vallist self.descriptions = args.get('descriptions', None) if self.descriptions: del args['descriptions'] Setting.__init__(self, name, val, **args) def copy(self): """Make a copy of the setting.""" return self._copyHelper((self.vallist,), (), {}) def convertTo(self, val): return val def toText(self): return self.val def fromText(self, text): return text def makeControl(self, *args): argsv = {'descriptions': self.descriptions} return controls.Choice(self, True, self.vallist, *args, **argsv) class FloatChoice(ChoiceOrMore): """A numeric value, which can also be chosen from the list of values.""" typename = 'float-choice' def convertTo(self, val): if isinstance(val, int) or isinstance(val, float): return _finiteRangeFloat(val) raise utils.InvalidType def toText(self): return ui_floattostring(self.val) def fromText(self, text): try: f = ui_stringtofloat(text) except ValueError: # try to evaluate f = self.safeEvalHelper(text) return self.convertTo(f) def makeControl(self, *args): argsv = {'descriptions': self.descriptions} strings = [ui_floattostring(x) for x in self.vallist] return controls.Choice(self, True, strings, *args, **argsv) class FloatDict(Setting): """A dictionary, taking floats as values.""" typename = 'float-dict' def convertTo(self, val): if type(val) != dict: raise utils.InvalidType for v in val.values(): if type(v) not in (float, int): raise utils.InvalidType # return copy return dict(val) def toText(self): text = ['%s = %s' % (k, ui_floattostring(self.val[k])) for k in sorted(self.val)] return '\n'.join(text) def fromText(self, text): """Do conversion from list of a=X\n values.""" out = {} # break up into lines for l in text.split('\n'): l = l.strip() if len(l) == 0: continue # break up using = p = l.strip().split('=') if len(p) != 2: raise utils.InvalidType try: v = ui_stringtofloat(p[1]) except ValueError: raise utils.InvalidType out[ p[0].strip() ] = v return out def makeControl(self, *args): return controls.MultiLine(self, *args) class FloatList(Setting): """A list of float values.""" typename = 'float-list' def convertTo(self, val): if type(val) not in (list, tuple): raise utils.InvalidType # horribly slow test for invalid entries out = [] for i in val: if type(i) not in (float, int): raise utils.InvalidType else: out.append( float(i) ) return out def toText(self): """Make a string a, b, c.""" # can't use the comma for splitting if used as a decimal point join = ', ' if uilocale.decimalPoint() == ',': join = '; ' return join.join( [ui_floattostring(x) for x in self.val] ) def fromText(self, text): """Convert from a, b, c or a b c.""" # don't use commas if it is the decimal separator splitre = r'[\t\n, ]+' if uilocale.decimalPoint() == ',': splitre = r'[\t\n; ]+' out = [] for x in re.split(splitre, text.strip()): if x: try: out.append( ui_stringtofloat(x) ) except ValueError: out.append( self.safeEvalHelper(x) ) return out def makeControl(self, *args): return controls.String(self, *args) class WidgetPath(Str): """A setting holding a path to a widget. This is checked for validity.""" typename = 'widget-path' def __init__(self, name, val, relativetoparent=True, allowedwidgets = None, **args): """Initialise the setting. The widget is located relative to parent if relativetoparent is True, otherwise this widget. If allowedwidgets is not None, only those widgets types in the list are allowed by this setting. """ Str.__init__(self, name, val, **args) self.relativetoparent = relativetoparent self.allowedwidgets = allowedwidgets def copy(self): """Make a copy of the setting.""" return self._copyHelper((), (), {'relativetoparent': self.relativetoparent, 'allowedwidgets': self.allowedwidgets}) def getReferredWidget(self, val = None): """Get the widget referred to. We double-check here to make sure it's the one. Returns None if setting is blank utils.InvalidType is raised if there's a problem """ # this is a bit of a hack, so we don't have to pass a value # for the setting (which we need to from convertTo) if val is None: val = self.val if val == '': return None # find the widget associated with this setting widget = self while not widget.isWidget(): widget = widget.parent # usually makes sense to give paths relative to a parent of a widget if self.relativetoparent: widget = widget.parent # resolve the text to a widget try: widget = widget.document.resolve(widget, val) except ValueError: raise utils.InvalidType # check the widget against the list of allowed types if given if self.allowedwidgets is not None: allowed = False for c in self.allowedwidgets: if isinstance(widget, c): allowed = True if not allowed: raise utils.InvalidType return widget class Dataset(Str): """A setting to choose from the possible datasets.""" typename = 'dataset' def __init__(self, name, val, dimensions=1, datatype='numeric', **args): """ dimensions is the number of dimensions the dataset needs """ self.dimensions = dimensions self.datatype = datatype Setting.__init__(self, name, val, **args) def copy(self): """Make a setting which has its values copied from this one.""" return self._copyHelper((), (), {'dimensions': self.dimensions, 'datatype': self.datatype}) def makeControl(self, *args): """Allow user to choose between the datasets.""" return controls.Dataset(self, self.getDocument(), self.dimensions, self.datatype, *args) def getData(self, doc): """Return a list of datasets entered.""" d = doc.data.get(self.val) if ( d is not None and d.datatype == self.datatype and d.dimensions == self.dimensions ): return d class Strings(Setting): """A multiple set of strings.""" typename = 'str-multi' def convertTo(self, val): """Takes a tuple/list of strings: ('ds1','ds2'...) """ if isinstance(val, cbasestr): return (val, ) if type(val) not in (list, tuple): raise utils.InvalidType # check each entry in the list is appropriate for ds in val: if not isinstance(ds, cbasestr): raise utils.InvalidType return tuple(val) def makeControl(self, *args): """Allow user to choose between the datasets.""" return controls.Strings(self, self.getDocument(), *args) class Datasets(Setting): """A setting to choose one or more of the possible datasets.""" typename = 'dataset-multi' def __init__(self, name, val, dimensions=1, datatype='numeric', **args): """ dimensions is the number of dimensions the dataset needs """ Setting.__init__(self, name, val, **args) self.dimensions = dimensions self.datatype = datatype def convertTo(self, val): """Takes a tuple/list of strings: ('ds1','ds2'...) """ if isinstance(val, cbasestr): return (val, ) if type(val) not in (list, tuple): raise utils.InvalidType # check each entry in the list is appropriate for ds in val: if not isinstance(ds, cbasestr): raise utils.InvalidType return tuple(val) def copy(self): """Make a setting which has its values copied from this one.""" return self._copyHelper((), (), {'dimensions': self.dimensions, 'datatype': self.datatype}) def makeControl(self, *args): """Allow user to choose between the datasets.""" return controls.Datasets(self, self.getDocument(), self.dimensions, self.datatype, *args) def getData(self, doc): """Return a list of datasets entered.""" out = [] for name in self.val: d = doc.data.get(name) if ( d is not None and d.datatype == self.datatype and d.dimensions == self.dimensions ): out.append(d) return out class DatasetExtended(Dataset): """Choose a dataset, give an expression or specify a list of float values.""" typename = 'dataset-extended' def convertTo(self, val): """Check is a string (dataset name or expression) or a list of floats (numbers). """ if isinstance(val, cbasestr): return val elif self.dimensions == 1: # list of numbers only allowed for 1d datasets if isinstance(val, float) or isinstance(val, int): return [val] else: try: return [float(x) for x in val] except (TypeError, ValueError): pass raise utils.InvalidType def toText(self): if isinstance(self.val, cbasestr): return self.val else: # join based on , or ; depending on decimal point join = ', ' if uilocale.decimalPoint() == ',': join = '; ' return join.join( [ ui_floattostring(x) for x in self.val ] ) def fromText(self, text): """Convert from text.""" text = text.strip() if self.dimensions > 1: return text # split based on , or ; depending on decimal point splitre = r'[\t\n, ]+' if uilocale.decimalPoint() == ',': splitre = r'[\t\n; ]+' out = [] for x in re.split(splitre, text): if x: try: out.append( ui_stringtofloat(x) ) except ValueError: # fail conversion, so exit with text return text return out def getFloatArray(self, doc): """Get a numpy of values or None.""" if isinstance(self.val, cbasestr): ds = doc.evalDatasetExpression( self.val, datatype=self.datatype, dimensions=self.dimensions) if ds: # get numpy array of values return N.array(ds.data) else: # list of values return N.array(self.val) return None def isDataset(self, doc): """Is this setting a dataset?""" return (isinstance(self.val, cbasestr) and doc.data.get(self.val)) def isEmpty(self): """Is this unset?""" return self.val == [] or self.val == '' def getData(self, doc): """Return veusz dataset""" if isinstance(self.val, cbasestr): return doc.evalDatasetExpression( self.val, datatype=self.datatype, dimensions=self.dimensions) else: return doc.valsToDataset( self.val, self.datatype, self.dimensions) class DatasetOrStr(Dataset): """Choose a dataset or enter a string. Non string datasets are converted to string arrays using this. """ typename = 'dataset-or-str' def __init__(self, name, val, **args): Dataset.__init__(self, name, val, datatype='text', **args) def getData(self, doc, checknull=False): """Return either a list of strings, a single item list. If checknull then None is returned if blank """ if doc: ds = doc.data.get(self.val) if ds: return doc.formatValsWithDatatypeToText( ds.data, ds.displaytype) if checknull and not self.val: return None else: return [cstr(self.val)] def makeControl(self, *args): return controls.DatasetOrString(self, self.getDocument(), *args) def copy(self): """Make a setting which has its values copied from this one.""" return self._copyHelper((), (), {}) class Color(ChoiceOrMore): """A color setting.""" typename = 'color' _colors = [ 'white', 'black', 'red', 'green', 'blue', 'cyan', 'magenta', 'yellow', 'grey', 'darkred', 'darkgreen', 'darkblue', 'darkcyan', 'darkmagenta' ] controls.Color._colors = _colors def __init__(self, name, value, **args): """Initialise the color setting with the given name, default and description.""" ChoiceOrMore.__init__(self, name, self._colors, value, **args) def copy(self): """Make a copy of the setting.""" return self._copyHelper((), (), {}) def color(self): """Return QColor for color.""" return qt4.QColor(self.val) def makeControl(self, *args): return controls.Color(self, *args) class FillStyle(Choice): """A setting for the different fill styles provided by Qt.""" typename = 'fill-style' _fillstyles = [ 'solid', 'horizontal', 'vertical', 'cross', 'forward diagonals', 'backward diagonals', 'diagonal cross', '94% dense', '88% dense', '63% dense', '50% dense', '37% dense', '12% dense', '6% dense' ] _fillcnvt = { 'solid': qt4.Qt.SolidPattern, 'horizontal': qt4.Qt.HorPattern, 'vertical': qt4.Qt.VerPattern, 'cross': qt4.Qt.CrossPattern, 'forward diagonals': qt4.Qt.FDiagPattern, 'backward diagonals': qt4.Qt.BDiagPattern, 'diagonal cross': qt4.Qt.DiagCrossPattern, '94% dense': qt4.Qt.Dense1Pattern, '88% dense': qt4.Qt.Dense2Pattern, '63% dense': qt4.Qt.Dense3Pattern, '50% dense': qt4.Qt.Dense4Pattern, '37% dense': qt4.Qt.Dense5Pattern, '12% dense': qt4.Qt.Dense6Pattern, '6% dense': qt4.Qt.Dense7Pattern } controls.FillStyle._fills = _fillstyles controls.FillStyle._fillcnvt = _fillcnvt def __init__(self, name, value, **args): Choice.__init__(self, name, self._fillstyles, value, **args) def copy(self): """Make a copy of the setting.""" return self._copyHelper((), (), {}) def qtStyle(self): """Return Qt ID of fill.""" return self._fillcnvt[self.val] def makeControl(self, *args): return controls.FillStyle(self, *args) class LineStyle(Choice): """A setting choosing a particular line style.""" typename = 'line-style' # list of allowed line styles _linestyles = ['solid', 'dashed', 'dotted', 'dash-dot', 'dash-dot-dot', 'dotted-fine', 'dashed-fine', 'dash-dot-fine', 'dot1', 'dot2', 'dot3', 'dot4', 'dash1', 'dash2', 'dash3', 'dash4', 'dash5', 'dashdot1', 'dashdot2', 'dashdot3'] # convert from line styles to Qt constants and a custom pattern (if any) _linecnvt = { 'solid': (qt4.Qt.SolidLine, None), 'dashed': (qt4.Qt.DashLine, None), 'dotted': (qt4.Qt.DotLine, None), 'dash-dot': (qt4.Qt.DashDotLine, None), 'dash-dot-dot': (qt4.Qt.DashDotDotLine, None), 'dotted-fine': (qt4.Qt.CustomDashLine, [2, 4]), 'dashed-fine': (qt4.Qt.CustomDashLine, [8, 4]), 'dash-dot-fine': (qt4.Qt.CustomDashLine, [8, 4, 2, 4]), 'dot1': (qt4.Qt.CustomDashLine, [0.1, 2]), 'dot2': (qt4.Qt.CustomDashLine, [0.1, 4]), 'dot3': (qt4.Qt.CustomDashLine, [0.1, 6]), 'dot4': (qt4.Qt.CustomDashLine, [0.1, 8]), 'dash1': (qt4.Qt.CustomDashLine, [4, 4]), 'dash2': (qt4.Qt.CustomDashLine, [4, 8]), 'dash3': (qt4.Qt.CustomDashLine, [8, 8]), 'dash4': (qt4.Qt.CustomDashLine, [16, 8]), 'dash5': (qt4.Qt.CustomDashLine, [16, 16]), 'dashdot1': (qt4.Qt.CustomDashLine, [0.1, 4, 4, 4]), 'dashdot2': (qt4.Qt.CustomDashLine, [0.1, 4, 8, 4]), 'dashdot3': (qt4.Qt.CustomDashLine, [0.1, 2, 4, 2]), } controls.LineStyle._lines = _linestyles def __init__(self, name, default, **args): Choice.__init__(self, name, self._linestyles, default, **args) def copy(self): """Make a copy of the setting.""" return self._copyHelper((), (), {}) def qtStyle(self): """Get Qt ID of chosen line style.""" return self._linecnvt[self.val] def makeControl(self, *args): return controls.LineStyle(self, *args) class Axis(Str): """A setting to hold the name of an axis. direction is 'horizontal', 'vertical' or 'both' """ typename = 'axis' def __init__(self, name, val, direction, **args): """Initialise using the document, so we can get the axes later. direction is horizontal or vertical to specify the type of axis to show """ Setting.__init__(self, name, val, **args) self.direction = direction def copy(self): """Make a copy of the setting.""" return self._copyHelper((), (self.direction,), {}) def makeControl(self, *args): """Allows user to choose an axis or enter a name.""" return controls.Axis(self, self.getDocument(), self.direction, *args) class WidgetChoice(Str): """Hold the name of a child widget.""" typename = 'widget-choice' def __init__(self, name, val, widgettypes={}, **args): """Choose widgets from (named) type given.""" Setting.__init__(self, name, val, **args) self.widgettypes = widgettypes def copy(self): """Make a copy of the setting.""" return self._copyHelper((), (), {'widgettypes': self.widgettypes}) def buildWidgetList(self, level, widget, outdict): """A recursive helper to build up a list of possible widgets. This iterates over widget's children, and adds widgets as tuples to outdict using outdict[name] = (widget, level) Lower level images of the same name outweigh other images further down the tree """ for child in widget.children: if child.typename in self.widgettypes: if (child.name not in outdict) or (outdict[child.name][1]>level): outdict[child.name] = (child, level) else: self.buildWidgetList(level+1, child, outdict) def getWidgetList(self): """Return a dict of valid widget names and the corresponding objects.""" # find widget which contains setting widget = self.parent while not widget.isWidget() and widget is not None: widget = widget.parent # get widget's parent if widget is not None: widget = widget.parent # get list of widgets from recursive find widgets = {} if widget is not None: self.buildWidgetList(0, widget, widgets) # turn (object, level) pairs into object outdict = {} for name, val in widgets.items(): outdict[name] = val[0] return outdict def findWidget(self): """Find the image corresponding to this setting. Returns Image object if succeeds or None if fails """ widgets = self.getWidgetList() try: return widgets[self.get()] except KeyError: return None def makeControl(self, *args): """Allows user to choose an image widget or enter a name.""" return controls.WidgetChoice(self, self.getDocument(), *args) class Marker(Choice): """Choose a marker type from one allowable.""" typename = 'marker' def __init__(self, name, value, **args): Choice.__init__(self, name, utils.MarkerCodes, value, **args) def copy(self): """Make a copy of the setting.""" return self._copyHelper((), (), {}) def makeControl(self, *args): return controls.Marker(self, *args) class Arrow(Choice): """Choose an arrow type from one allowable.""" typename = 'arrow' def __init__(self, name, value, **args): Choice.__init__(self, name, utils.ArrowCodes, value, **args) def copy(self): """Make a copy of the setting.""" return self._copyHelper((), (), {}) def makeControl(self, *args): return controls.Arrow(self, *args) class LineSet(Setting): """A setting which corresponds to a set of lines. """ typename='line-multi' def convertTo(self, val): """Takes a tuple/list of tuples: [('dotted', '1pt', 'color', , False), ...] These are style, width, color, and hide or style, widget, color, transparency, hide """ if type(val) not in (list, tuple): raise utils.InvalidType # check each entry in the list is appropriate for line in val: try: style, width, color, hide = line except ValueError: raise utils.InvalidType if ( not isinstance(color, cbasestr) or not Distance.isDist(width) or style not in LineStyle._linestyles or type(hide) not in (int, bool) ): raise utils.InvalidType return val def makeControl(self, *args): """Make specialised lineset control.""" return controls.LineSet(self, *args) def makePen(self, painter, row): """Make a pen for the painter using row. If row is outside of range, then cycle """ if len(self.val) == 0: return qt4.QPen(qt4.Qt.NoPen) else: row = row % len(self.val) v = self.val[row] style, width, color, hide = v width = Distance.convertDistance(painter, width) style, dashpattern = LineStyle._linecnvt[style] col = utils.extendedColorToQColor(color) pen = qt4.QPen(col, width, style) if dashpattern: pen.setDashPattern(dashpattern) if hide: pen.setStyle(qt4.Qt.NoPen) return pen class FillSet(Setting): """A setting which corresponds to a set of fills. This setting keeps an internal array of LineSettings. """ typename = 'fill-multi' def convertTo(self, val): """Takes a tuple/list of tuples: [('solid', 'color', False), ...] These are color, fill style, and hide or color, fill style, and hide (style, color, hide, [optional transparency, linewidth, linestyle, spacing, backcolor, backtrans, backhide]]) """ if type(val) not in (list, tuple): raise utils.InvalidType # check each entry in the list is appropriate for fill in val: try: style, color, hide = fill[:3] except ValueError: raise utils.InvalidType if ( not isinstance(color, cbasestr) or style not in utils.extfillstyles or type(hide) not in (int, bool) or len(fill) not in (3, 10) ): raise utils.InvalidType return val def makeControl(self, *args): """Make specialised lineset control.""" return controls.FillSet(self, *args) def returnBrushExtended(self, row): """Return BrushExtended for the row.""" from . import collections s = collections.BrushExtended('tempbrush') if len(self.val) == 0: s.hide = True else: v = self.val[row % len(self.val)] s.style = v[0] col = utils.extendedColorToQColor(v[1]) if col.alpha() != 255: s.transparency = int(100 - col.alphaF()*100) col.setAlpha(255) s.color = col.name() else: s.color = v[1] s.hide = v[2] if len(v) == 10: (s.transparency, s.linewidth, s.linestyle, s.patternspacing, s.backcolor, s.backtransparency, s.backhide) = v[3:] return s class Filename(Str): """Represents a filename setting.""" typename = 'filename' def makeControl(self, *args): return controls.Filename(self, 'file', *args) def convertTo(self, val): if sys.platform == 'win32': val = val.replace('\\', '/') return val class ImageFilename(Filename): """Represents an image filename setting.""" typename = 'filename-image' def makeControl(self, *args): return controls.Filename(self, 'image', *args) class FontFamily(Str): """Represents a font family.""" typename = 'font-family' def makeControl(self, *args): """Make a special font combobox.""" return controls.FontFamily(self, *args) class ErrorStyle(Choice): """Error bar style. The allowed values are below in _errorstyles. """ typename = 'errorbar-style' _errorstyles = ( 'none', 'bar', 'barends', 'box', 'diamond', 'curve', 'barbox', 'bardiamond', 'barcurve', 'boxfill', 'diamondfill', 'curvefill', 'fillvert', 'fillhorz', 'linevert', 'linehorz', 'linevertbar', 'linehorzbar' ) controls.ErrorStyle._errorstyles = _errorstyles def __init__(self, name, value, **args): Choice.__init__(self, name, self._errorstyles, value, **args) def copy(self): """Make a copy of the setting.""" return self._copyHelper((), (), {}) def makeControl(self, *args): return controls.ErrorStyle(self, *args) class AlignHorz(Choice): """Alignment horizontally.""" typename = 'align-horz' def __init__(self, name, value, **args): Choice.__init__(self, name, ['left', 'centre', 'right'], value, **args) def copy(self): """Make a copy of the setting.""" return self._copyHelper((), (), {}) class AlignVert(Choice): """Alignment vertically.""" typename = 'align-vert' def __init__(self, name, value, **args): Choice.__init__(self, name, ['top', 'centre', 'bottom'], value, **args) def copy(self): """Make a copy of the setting.""" return self._copyHelper((), (), {}) class AlignHorzWManual(Choice): """Alignment horizontally.""" typename = 'align-horz-+manual' def __init__(self, name, value, **args): Choice.__init__(self, name, ['left', 'centre', 'right', 'manual'], value, **args) def copy(self): """Make a copy of the setting.""" return self._copyHelper((), (), {}) class AlignVertWManual(Choice): """Alignment vertically.""" typename = 'align-vert-+manual' def __init__(self, name, value, **args): Choice.__init__(self, name, ['top', 'centre', 'bottom', 'manual'], value, **args) def copy(self): """Make a copy of the setting.""" return self._copyHelper((), (), {}) # Bool which shows/hides other settings class BoolSwitch(Bool): """Bool switching setting.""" def __init__(self, name, value, settingsfalse=[], settingstrue=[], **args): """Enables/disables a set of settings if True or False settingsfalse and settingstrue are lists of names of settings which are hidden/shown to user """ self.sfalse = settingsfalse self.strue = settingstrue Bool.__init__(self, name, value, **args) def makeControl(self, *args): return controls.BoolSwitch(self, *args) def copy(self): return self._copyHelper((), (), {'settingsfalse': self.sfalse, 'settingstrue': self.strue}) class ChoiceSwitch(Choice): """Show or hide other settings based on the choice given here.""" def __init__(self, name, vallist, value, settingstrue=[], settingsfalse=[], showfn=lambda val: True, **args): """Enables/disables a set of settings if True or False settingsfalse and settingstrue are lists of names of settings which are hidden/shown to user depending on showfn(val).""" self.sfalse = settingsfalse self.strue = settingstrue self.showfn = showfn Choice.__init__(self, name, vallist, value, **args) def makeControl(self, *args): return controls.ChoiceSwitch(self, False, self.vallist, *args) def copy(self): return self._copyHelper((self.vallist,), (), {'settingsfalse': self.sfalse, 'settingstrue': self.strue, 'showfn': self.showfn}) class FillStyleExtended(ChoiceSwitch): """A setting for the different fill styles provided by Qt.""" typename = 'fill-style-ext' _strue = ( 'linewidth', 'linestyle', 'patternspacing', 'backcolor', 'backtransparency', 'backhide' ) @staticmethod def _ishatch(val): """Is this a hatching fill?""" return not ( val == 'solid' or val.find('dense') >= 0 ) def __init__(self, name, value, **args): ChoiceSwitch.__init__(self, name, utils.extfillstyles, value, settingstrue=self._strue, settingsfalse=(), showfn=self._ishatch, **args) def copy(self): """Make a copy of the setting.""" return self._copyHelper((), (), {}) def makeControl(self, *args): return controls.FillStyleExtended(self, *args) class RotateInterval(Choice): '''Rotate a label with intervals given.''' def __init__(self, name, val, **args): Choice.__init__(self, name, ('-180', '-135', '-90', '-45', '0', '45', '90', '135', '180'), val, **args) def convertTo(self, val): """Store rotate angle.""" # backward compatibility with rotate option # False: angle 0 # True: angle 90 if val == False: val = '0' elif val == True: val = '90' return Choice.convertTo(self, val) def copy(self): """Make a copy of the setting.""" return self._copyHelper((), (), {}) class Colormap(Str): """A setting to set the color map used in an image. This is based on a Str rather than Choice as the list might change later. """ def makeControl(self, *args): return controls.Colormap(self, self.getDocument(), *args) class AxisBound(FloatOrAuto): """Axis bound - either numeric, Auto or date.""" typename = 'axis-bound' def makeControl(self, *args): return controls.AxisBound(self, *args) def toText(self): """Convert to text, taking into account mode of Axis. Displays datetimes in date format if used """ try: mode = self.parent.mode except AttributeError: mode = None v = self.val if ( not isinstance(v, cbasestr) and v is not None and mode == 'datetime' ): return utils.dateFloatToString(v) return FloatOrAuto.toText(self) def fromText(self, txt): """Convert from text, allowing datetimes.""" v = utils.dateStringToDate(txt) if N.isfinite(v): return v else: return FloatOrAuto.fromText(self, txt) veusz-1.21.1/veusz/setting/controls.py0000644000175000017500000016476712327177747016244 0ustar jssjss# -*- coding: utf-8 -*- # Copyright (C) 2005 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### """Module for creating QWidgets for the settings, to enable their values to be changed. These widgets emit settingChanged(control, setting, val) when the setting is changed. The creator should use this to change the setting. """ from __future__ import division import re import numpy as N from ..compat import crange, czip, citems, cstr from .. import qtall as qt4 from .settingdb import settingdb from .. import utils def _(text, disambiguation=None, context="Setting"): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) def styleClear(widget): """Return widget to default""" widget.setStyleSheet("") def styleError(widget): """Show error state on widget.""" widget.setStyleSheet("background-color: " + settingdb.color('error').name() ) class DotDotButton(qt4.QPushButton): """A button for opening up more complex editor.""" def __init__(self, tooltip=None, checkable=True): qt4.QPushButton.__init__(self, "..", flat=True, checkable=checkable, maximumWidth=16, maximumHeight=16) if tooltip: self.setToolTip(tooltip) self.setSizePolicy(qt4.QSizePolicy.Maximum, qt4.QSizePolicy.Maximum) class Edit(qt4.QLineEdit): """Main control for editing settings which are text.""" sigSettingChanged = qt4.pyqtSignal(qt4.QObject, object, object) def __init__(self, setting, parent): """Initialise the setting widget.""" qt4.QLineEdit.__init__(self, parent) self.setting = setting self.setText( setting.toText() ) self.editingFinished.connect(self.validateAndSet) self.setting.setOnModified(self.onModified) if setting.readonly: self.setReadOnly(True) def validateAndSet(self): """Check the text is a valid setting and update it.""" text = self.text() try: val = self.setting.fromText(text) styleClear(self) self.sigSettingChanged.emit(self, self.setting, val) except utils.InvalidType: styleError(self) @qt4.pyqtSlot() def onModified(self): """called when the setting is changed remotely""" self.setText( self.setting.toText() ) class _EditBox(qt4.QTextEdit): """A popup edit box to support editing long text sections. Emits closing(text) when the box closes """ closing = qt4.pyqtSignal(cstr) def __init__(self, origtext, readonly, parent): """Make a popup, framed widget containing a text editor.""" qt4.QTextEdit.__init__(self, parent) self.setWindowFlags(qt4.Qt.Popup) self.setAttribute(qt4.Qt.WA_DeleteOnClose) self.spacing = self.fontMetrics().height() self.origtext = origtext self.setPlainText(origtext) cursor = self.textCursor() cursor.movePosition(qt4.QTextCursor.End) self.setTextCursor(cursor) if readonly: self.setReadOnly(True) utils.positionFloatingPopup(self, parent) self.installEventFilter(self) def eventFilter(self, obj, event): """Grab clicks outside this window to close it.""" if ( isinstance(event, qt4.QMouseEvent) and event.buttons() != qt4.Qt.NoButton ): frame = qt4.QRect(0, 0, self.width(), self.height()) if not frame.contains(event.pos()): self.close() return True return qt4.QTextEdit.eventFilter(self, obj, event) def keyPressEvent(self, event): """Close if escape or return is pressed.""" qt4.QTextEdit.keyPressEvent(self, event) key = event.key() if key == qt4.Qt.Key_Escape: # restore original content self.setPlainText(self.origtext) self.close() elif key == qt4.Qt.Key_Return: # keep changes self.close() def sizeHint(self): """A reasonable size for the text editor.""" return qt4.QSize(self.spacing*40, self.spacing*3) def closeEvent(self, event): """Tell the calling widget that we are closing, and provide the new text.""" text = self.toPlainText() text = text.replace('\n', '') self.closing.emit(text) event.accept() class String(qt4.QWidget): """A line editor which allows editting in a larger popup window.""" sigSettingChanged = qt4.pyqtSignal(qt4.QObject, object, object) def __init__(self, setting, parent): qt4.QWidget.__init__(self, parent) self.setting = setting layout = qt4.QHBoxLayout() layout.setSpacing(0) layout.setMargin(0) self.setLayout(layout) self.edit = qt4.QLineEdit() layout.addWidget(self.edit) b = self.button = DotDotButton(tooltip="Edit text") layout.addWidget(b) # set the text of the widget to the self.edit.setText( setting.toText() ) self.edit.editingFinished.connect(self.validateAndSet) b.toggled.connect(self.buttonToggled) self.setting.setOnModified(self.onModified) if setting.readonly: self.edit.setReadOnly(True) def buttonToggled(self, on): """Button is pressed to bring popup up / down.""" # if button is down and there's no existing popup, bring up a new one if on: e = _EditBox( self.edit.text(), self.setting.readonly, self.button) # we get notified with text when the popup closes e.closing.connect(self.boxClosing) e.show() def boxClosing(self, text): """Called when the popup edit box closes.""" # update the text if we can if not self.setting.readonly: self.edit.setText(text) self.edit.setFocus() self.parentWidget().setFocus() self.edit.setFocus() self.button.setChecked(False) def validateAndSet(self): """Check the text is a valid setting and update it.""" text = self.edit.text() try: val = self.setting.fromText(text) styleClear(self.edit) self.sigSettingChanged.emit(self, self.setting, val) except utils.InvalidType: styleError(self.edit) @qt4.pyqtSlot() def onModified(self): """called when the setting is changed remotely""" self.edit.setText( self.setting.toText() ) class Int(qt4.QSpinBox): """A control for changing an integer.""" sigSettingChanged = qt4.pyqtSignal(qt4.QObject, object, object) def __init__(self, setting, parent): qt4.QSpinBox.__init__(self, parent) self.ignorechange = False self.setting = setting self.setMinimum(setting.minval) self.setMaximum(setting.maxval) self.setValue(setting.val) self.valueChanged[int].connect(self.slotChanged) self.setting.setOnModified(self.onModified) if setting.readonly: self.setEnabled(False) def slotChanged(self, value): """If check box changes.""" # this is emitted by setValue, so ignore onModified doing this if not self.ignorechange: self.sigSettingChanged.emit(self, self.setting, value) @qt4.pyqtSlot() def onModified(self): """called when the setting is changed remotely""" self.ignorechange = True self.setValue( self.setting.val ) self.ignorechange = False class Bool(qt4.QCheckBox): """A check box for changing a bool setting.""" sigSettingChanged = qt4.pyqtSignal(qt4.QObject, object, object) def __init__(self, setting, parent): qt4.QCheckBox.__init__(self, parent) self.setSizePolicy( qt4.QSizePolicy( qt4.QSizePolicy.MinimumExpanding, qt4.QSizePolicy.Fixed) ) self.ignorechange = False self.setting = setting self.setChecked(setting.val) # we get a signal when the button is toggled self.toggled.connect(self.slotToggled) self.setting.setOnModified(self.onModified) if setting.readonly: self.setEnabled(False) def slotToggled(self, state): """Emitted when checkbox toggled.""" # this is emitted by setChecked, so ignore onModified doing this if not self.ignorechange: self.sigSettingChanged.emit(self, self.setting, state) @qt4.pyqtSlot() def onModified(self): """called when the setting is changed remotely""" self.ignorechange = True self.setChecked( self.setting.val ) self.ignorechange = False class BoolSwitch(Bool): """Bool for switching off/on other settings.""" def showEvent(self, event): Bool.showEvent(self, event) self.updateState() def slotToggled(self, state): Bool.slotToggled(self, state) self.updateState() def updateState(self): """Set hidden state of settings.""" s1, s2 = self.setting.strue, self.setting.sfalse if self.setting.val: show, hide = s1, s2 else: show, hide = s2, s1 if hasattr(self.parent(), 'showHideSettings'): self.parent().showHideSettings(show, hide) class Choice(qt4.QComboBox): """For choosing between a set of values.""" sigSettingChanged = qt4.pyqtSignal(qt4.QObject, object, object) def __init__(self, setting, iseditable, vallist, parent, icons=None, descriptions=None): qt4.QComboBox.__init__(self, parent) self.setting = setting self.setEditable(iseditable) # stops combobox readjusting in size to fit contents self.setSizeAdjustPolicy( qt4.QComboBox.AdjustToMinimumContentsLengthWithIcon) if icons is None: # add items to list (text only) self.addItems( list(vallist) ) else: # add pixmaps and text to list for icon, text in czip(icons, vallist): self.addItem(icon, text) # use tooltip descriptions if requested if descriptions is not None: for i, descr in enumerate(descriptions): self.setItemData(i, descr, qt4.Qt.ToolTipRole) # choose the correct setting try: index = list(vallist).index(setting.toText()) self.setCurrentIndex(index) except ValueError: # for cases when this is editable # set the text of the widget to the setting assert iseditable self.setEditText( setting.toText() ) # if a different item is selected self.activated[str].connect(self.slotActivated) self.setting.setOnModified(self.onModified) if setting.readonly: self.setEnabled(False) # make completion case sensitive (to help fix case typos) if self.completer(): self.completer().setCaseSensitivity(qt4.Qt.CaseSensitive) def focusOutEvent(self, *args): """Allows us to check the contents of the widget.""" qt4.QComboBox.focusOutEvent(self, *args) self.slotActivated('') def slotActivated(self, val): """If a different item is chosen.""" text = self.currentText() try: val = self.setting.fromText(text) styleClear(self) self.sigSettingChanged.emit(self, self.setting, val) except utils.InvalidType: styleError(self) @qt4.pyqtSlot() def onModified(self): """called when the setting is changed remotely""" text = self.setting.toText() index = self.findText(text) if index >= 0: self.setCurrentIndex(index) if self.isEditable(): self.setEditText(text) class ChoiceSwitch(Choice): """Show or hide other settings based on value.""" def showEvent(self, event): Choice.showEvent(self, event) self.updateState() @qt4.pyqtSlot() def onModified(self): """called when the setting is changed remotely""" Choice.onModified(self) self.updateState() def updateState(self): """Set hidden state of settings.""" s1, s2 = self.setting.strue, self.setting.sfalse if self.setting.showfn(self.setting.val): show, hide = s1, s2 else: show, hide = s2, s1 if hasattr(self.parent(), 'showHideSettings'): self.parent().showHideSettings(show, hide) class FillStyleExtended(ChoiceSwitch): """Extended fill style list.""" _icons = None def __init__(self, setting, parent): if self._icons is None: self._generateIcons() ChoiceSwitch.__init__(self, setting, False, utils.extfillstyles, parent, icons=self._icons) @classmethod def _generateIcons(cls): """Generate a list of pixmaps for drop down menu.""" from . import collections brush = collections.BrushExtended("") brush.color = 'black' brush.patternspacing = '5pt' brush.linewidth = '0.5pt' size = 12 cls._icons = icons = [] path = qt4.QPainterPath() path.addRect(0, 0, size, size) for f in utils.extfillstyles: pix = qt4.QPixmap(size, size) pix.fill() painter = qt4.QPainter(pix) painter.pixperpt = 1. painter.scaling = 1. painter.setRenderHint(qt4.QPainter.Antialiasing) brush.style = f utils.brushExtFillPath(painter, brush, path) painter.end() icons.append( qt4.QIcon(pix) ) class MultiLine(qt4.QTextEdit): """For editting multi-line settings.""" sigSettingChanged = qt4.pyqtSignal(qt4.QObject, object, object) def __init__(self, setting, parent): """Initialise the widget.""" qt4.QTextEdit.__init__(self, parent) self.setting = setting self.setWordWrapMode(qt4.QTextOption.NoWrap) self.setTabChangesFocus(True) # set the text of the widget to the self.setPlainText( setting.toText() ) self.setting.setOnModified(self.onModified) if setting.readonly: self.setReadOnly(True) self.document().contentsChanged.connect(self.onSizeChange) self.document().documentLayout().documentSizeChanged.connect( self.onSizeChange) self.heightmin = 0 self.heightmax = 2048 # recalculate size of document to fix size self.document().adjustSize() self.onSizeChange() def onSizeChange(self): """Make size match content size.""" m = self.contentsMargins() docheight = self.document().size().height() + m.top() + m.bottom() docheight = min(self.heightmax, max(self.heightmin, docheight)) self.setFixedHeight(docheight) def focusOutEvent(self, *args): """Allows us to check the contents of the widget.""" qt4.QTextEdit.focusOutEvent(self, *args) text = self.toPlainText() try: val = self.setting.fromText(text) styleClear(self) self.sigSettingChanged.emit(self, self.setting, val) except utils.InvalidType: styleError(self) @qt4.pyqtSlot() def onModified(self): """called when the setting is changed remotely""" self.setPlainText( self.setting.toText() ) class Notes(MultiLine): """For editing notes.""" def __init__(self, setting, parent): MultiLine.__init__(self, setting, parent) self.setWordWrapMode(qt4.QTextOption.WordWrap) class Distance(Choice): """For editing distance settings.""" # used to remove non-numerics from the string # we also remove X/ from X/num stripnumre = re.compile(r"[0-9]*/|[^0-9.,]") # remove spaces stripspcre = re.compile(r"\s") def __init__(self, setting, parent, allowauto=False, physical=False): '''Initialise with blank list, then populate with sensible units.''' Choice.__init__(self, setting, True, [], parent) self.allowauto = allowauto self.physical = physical self.updateComboList() def updateComboList(self): '''Populates combo list with sensible list of other possible units.''' # turn off signals, so our modifications don't create more signals self.blockSignals(True) # get current text text = self.currentText() # get rid of non-numeric things from the string num = self.stripnumre.sub('', text) # here are a list of possible different units the user can choose # between. should this be in utils? newitems = [ num+'pt', num+'cm', num+'mm', num+'in' ] if not self.physical: newitems += [ num+'%', '1/'+num ] if self.allowauto: newitems.insert(0, 'Auto') # if we're already in this list, we position the current selection # to the correct item (up and down keys work properly then) # spaces are removed to make sure we get sensible matches spcfree = self.stripspcre.sub('', text) try: index = newitems.index(spcfree) except ValueError: index = 0 newitems.insert(0, text) # get rid of existing items in list (clear doesn't work here) for i in crange(self.count()): self.removeItem(0) # put new items in and select the correct option self.addItems(newitems) self.setCurrentIndex(index) # must remember to do this! self.blockSignals(False) def slotActivated(self, val): '''Populate the drop down list before activation.''' self.updateComboList() Choice.slotActivated(self, val) class DistancePt(Choice): """For editing distances with defaults in points.""" points = ( '0pt', '0.25pt', '0.5pt', '1pt', '1.5pt', '2pt', '3pt', '4pt', '5pt', '6pt', '8pt', '10pt', '12pt', '14pt', '16pt', '18pt', '20pt', '22pt', '24pt', '26pt', '28pt', '30pt', '34pt', '40pt', '44pt', '50pt', '60pt', '70pt' ) def __init__(self, setting, parent, allowauto=False): '''Initialise with blank list, then populate with sensible units.''' Choice.__init__(self, setting, True, DistancePt.points, parent) class Dataset(qt4.QWidget): """Allow the user to choose between the possible datasets.""" sigSettingChanged = qt4.pyqtSignal(qt4.QObject, object, object) def __init__(self, setting, document, dimensions, datatype, parent): """Initialise the combobox. The list is populated with datasets. dimensions specifies the dimension of the dataset to list Changes on the document refresh the list of datasets.""" qt4.QWidget.__init__(self, parent) self.choice = Choice(setting, True, [], None) self.choice.sigSettingChanged.connect(self.sigSettingChanged) b = self.button = DotDotButton(tooltip=_("Select using dataset browser")) b.toggled.connect(self.slotButtonToggled) self.document = document self.dimensions = dimensions self.datatype = datatype self.lastdatasets = None self._populateEntries() document.signalModified.connect(self.slotModified) layout = qt4.QHBoxLayout() layout.setSpacing(0) layout.setMargin(0) layout.addWidget(self.choice) layout.addWidget(b) self.setLayout(layout) def _populateEntries(self): """Put the list of datasets into the combobox.""" # get datasets of the correct dimension datasets = [] for name, ds in citems(self.document.data): if ds.dimensions == self.dimensions and ( ds.datatype == self.datatype or self.datatype == 'all' or ds.datatype in self.datatype ): datasets.append(name) datasets.sort() if datasets != self.lastdatasets: utils.populateCombo(self.choice, datasets) self.lastdatasets = datasets @qt4.pyqtSlot(int) def slotModified(self, modified): """Update the list of datasets if the document is modified.""" self._populateEntries() def slotButtonToggled(self, on): """Bring up list of datasets.""" if on: from ..qtwidgets.datasetbrowser import DatasetBrowserPopup d = DatasetBrowserPopup(self.document, self.choice.currentText(), self.button, filterdims=set((self.dimensions,)), filterdtype=set((self.datatype,)) ) d.closing.connect(self.boxClosing) d.newdataset.connect(self.newDataset) d.show() def boxClosing(self): """Called when the popup edit box closes.""" self.button.setChecked(False) def newDataset(self, dsname): """New dataset selected.""" self.sigSettingChanged.emit(self, self.choice.setting, dsname) class DatasetOrString(Dataset): """Allow use to choose a dataset or enter some text.""" def __init__(self, setting, document, parent): Dataset.__init__(self, setting, document, 1, 'all', parent) b = self.textbutton = DotDotButton() self.layout().addWidget(b) b.toggled.connect(self.textButtonToggled) def textButtonToggled(self, on): """Button is pressed to bring popup up / down.""" # if button is down and there's no existing popup, bring up a new one if on: e = _EditBox( self.choice.currentText(), self.choice.setting.readonly, self.textbutton) # we get notified with text when the popup closes e.closing.connect(self.textBoxClosing) e.show() def textBoxClosing(self, text): """Called when the popup edit box closes.""" self.textbutton.setChecked(False) # update the text if we can if not self.choice.setting.readonly: self.choice.setEditText(text) self.choice.setFocus() self.parentWidget().setFocus() self.choice.setFocus() class FillStyle(Choice): """For choosing between fill styles.""" _icons = None _fills = None _fillcnvt = None def __init__(self, setting, parent): if self._icons is None: self._generateIcons() Choice.__init__(self, setting, False, self._fills, parent, icons=self._icons) @classmethod def _generateIcons(cls): """Generate a list of pixmaps for drop down menu.""" size = 12 icons = [] c = qt4.QColor('grey') for f in cls._fills: pix = qt4.QPixmap(size, size) pix.fill() painter = qt4.QPainter(pix) painter.setRenderHint(qt4.QPainter.Antialiasing) brush = qt4.QBrush(c, cls._fillcnvt[f]) painter.fillRect(0, 0, size, size, brush) painter.end() icons.append( qt4.QIcon(pix) ) cls._icons = icons class Marker(Choice): """A control to let the user choose a marker.""" _icons = None def __init__(self, setting, parent): if self._icons is None: self._generateIcons() Choice.__init__(self, setting, False, utils.MarkerCodes, parent, icons=self._icons) @classmethod def _generateIcons(cls): size = 16 icons = [] brush = qt4.QBrush( qt4.QColor('darkgrey') ) pen = qt4.QPen( qt4.QBrush(qt4.Qt.black), 1. ) for marker in utils.MarkerCodes: pix = qt4.QPixmap(size, size) pix.fill() painter = qt4.QPainter(pix) painter.setRenderHint(qt4.QPainter.Antialiasing) painter.setBrush(brush) painter.setPen(pen) utils.plotMarker(painter, size*0.5, size*0.5, marker, size*0.33) painter.end() icons.append( qt4.QIcon(pix) ) cls._icons = icons class Arrow(Choice): """A control to let the user choose an arrowhead.""" _icons = None def __init__(self, setting, parent): if self._icons is None: self._generateIcons() Choice.__init__(self, setting, False, utils.ArrowCodes, parent, icons=self._icons) @classmethod def _generateIcons(cls): size = 16 icons = [] brush = qt4.QBrush(qt4.Qt.black) pen = qt4.QPen( qt4.QBrush(qt4.Qt.black), 1. ) for arrow in utils.ArrowCodes: pix = qt4.QPixmap(size, size) pix.fill() painter = qt4.QPainter(pix) painter.setRenderHint(qt4.QPainter.Antialiasing) painter.setBrush(brush) painter.setPen(pen) utils.plotLineArrow(painter, size*0.4, size*0.5, size*2, 0., arrowsize=size*0.2, arrowleft=arrow, arrowright=arrow) painter.end() icons.append( qt4.QIcon(pix) ) cls._icons = icons class LineStyle(Choice): """For choosing between line styles.""" _icons = None _lines = None _linecnvt = None size = (24, 8) def __init__(self, setting, parent): if self._icons is None: self._generateIcons() Choice.__init__(self, setting, False, self._lines, parent, icons=self._icons) self.setIconSize( qt4.QSize(*self.size) ) @classmethod def _generateIcons(cls): """Generate a list of icons for drop down menu.""" # import later for dependency issues from . import collections from .. import document icons = [] size = cls.size setn = collections.Line('temp') setn.get('color').set('black') setn.get('width').set('1pt') for lstyle in cls._lines: pix = qt4.QPixmap(*size) pix.fill() ph = document.PaintHelper( (1, 1) ) painter = qt4.QPainter(pix) painter.setRenderHint(qt4.QPainter.Antialiasing) setn.get('style').set(lstyle) painter.setPen( setn.makeQPen(ph) ) painter.drawLine( int(size[0]*0.1), size[1]/2, int(size[0]*0.9), size[1]/2 ) painter.end() icons.append( qt4.QIcon(pix) ) cls._icons = icons class _ColNotifier(qt4.QObject): sigNewColor = qt4.pyqtSignal(cstr) class Color(qt4.QWidget): """A control which lets the user choose a color. A drop down list and a button to bring up a dialog are used """ sigSettingChanged = qt4.pyqtSignal(qt4.QObject, object, object) _icons = None _colors = None _colnotifier = None def __init__(self, setting, parent): qt4.QWidget.__init__(self, parent) if self._icons is None: self._generateIcons() self.setting = setting # combo box c = self.combo = qt4.QComboBox() c.setEditable(True) for color in self._colors: c.addItem(self._icons[color], color) c.activated[str].connect(self.slotActivated) # add color if a color is added by a different combo box Color._colnotifier.sigNewColor.connect(self.addcolorSlot) # button for selecting colors b = self.button = qt4.QPushButton() b.setFlat(True) b.setSizePolicy(qt4.QSizePolicy.Maximum, qt4.QSizePolicy.Maximum) b.setMaximumHeight(24) b.setMaximumWidth(24) b.clicked.connect(self.slotButtonClicked) if setting.readonly: c.setEnabled(False) b.setEnabled(False) layout = qt4.QHBoxLayout() layout.setSpacing(0) layout.setMargin(0) layout.addWidget(c) layout.addWidget(b) self.setColor( setting.toText() ) self.setLayout(layout) self.setting.setOnModified(self.onModified) def addcolorSlot(self, color): """When another Color combo adds a color, add one to this one""" self.combo.addItem(self._icons[color], color) @classmethod def _generateIcons(cls): """Generate a list of icons for drop down menu. Does not generate existing icons """ size = 12 if cls._icons is None: cls._icons = {} icons = cls._icons for c in cls._colors: if c not in icons: pix = qt4.QPixmap(size, size) pix.fill( qt4.QColor(c) ) icons[c] = qt4.QIcon(pix) if cls._colnotifier is not None: # tell other combo boxes a color has been added cls._colnotifier.sigNewColor.emit(c) if cls._colnotifier is None: cls._colnotifier = _ColNotifier() def slotButtonClicked(self): """Open dialog to edit color.""" col = qt4.QColorDialog.getColor(self.setting.color(), self) if col.isValid(): # change setting val = col.name() self.sigSettingChanged.emit(self, self.setting, val) def slotActivated(self, val): """A different value is selected.""" text = self.combo.currentText() val = self.setting.fromText(text) self.sigSettingChanged.emit(self, self.setting, val) def setColor(self, color): """Update control with color given.""" # construct color icon if not there if color not in Color._icons: Color._colors.append(color) Color._generateIcons() # add text to combo if not there index = self.combo.findText(color) # set correct index in combobox self.combo.setCurrentIndex(index) self.button.setIcon( self.combo.itemIcon(index) ) @qt4.pyqtSlot() def onModified(self): """called when the setting is changed remotely""" self.setColor( self.setting.toText() ) class WidgetSelector(Choice): """For choosing from a list of widgets.""" def __init__(self, setting, document, parent): """Initialise and populate combobox.""" Choice.__init__(self, setting, True, [], parent) self.document = document document.signalModified.connect(self.slotModified) def _populateEntries(self): pass @qt4.pyqtSlot(int) def slotModified(self, modified): """Update list of axes.""" self._populateEntries() class WidgetChoice(WidgetSelector): """Choose a widget.""" def __init__(self, setting, document, parent): """Initialise and populate combobox.""" WidgetSelector.__init__(self, setting, document, parent) self._populateEntries() def _populateEntries(self): """Build up a list of widgets for combobox.""" widgets = self.setting.getWidgetList() # we only need the list of names names = list(widgets.keys()) names.sort() utils.populateCombo(self, names) class Axis(WidgetSelector): """Choose an axis to plot against.""" def __init__(self, setting, document, direction, parent): """Initialise and populate combobox.""" WidgetSelector.__init__(self, setting, document, parent) self.direction = direction self._populateEntries() def _populateEntries(self): """Build up a list of possible axes.""" # get parent widget widget = self.setting.parent while not widget.isWidget() and widget is not None: widget = widget.parent # get list of axis widgets up the tree axes = set() while widget is not None: for w in widget.children: if ( w.isaxis and ( self.direction == 'both' or w.settings.direction == self.direction) ): axes.add(w.name) widget = widget.parent names = sorted(axes) utils.populateCombo(self, names) class ListSet(qt4.QFrame): """A widget for constructing settings which are lists of other properties. This code is pretty nasty and horrible, so we abstract it in this base widget """ sigSettingChanged = qt4.pyqtSignal(qt4.QObject, object, object) pixsize = 12 def __init__(self, defaultval, setting, parent): """Initialise this base widget. defaultval is the default entry to add if add is clicked with no current entries setting is the setting this widget corresponds to parent is the parent widget. """ qt4.QFrame.__init__(self, parent) self.setFrameStyle(qt4.QFrame.Box) self.defaultval = defaultval self.setting = setting self.controls = [] self.layout = qt4.QGridLayout(self) self.layout.setMargin( self.layout.margin()//2 ) self.layout.setSpacing( self.layout.spacing()//4 ) # ignore changes if this set self.ignorechange = False self.populate() self.setting.setOnModified(self.onModified) def populateRow(self, row, val): """Populate the row in the control. Returns a list of the widgets created. """ return None def populate(self): """Construct the list of controls.""" # delete all children in case of refresh self.controls = [] for c in self.children(): if isinstance(c, qt4.QWidget): self.layout.removeWidget(c) c.deleteLater() c = None # iterate over each row row = -1 for row, val in enumerate(self.setting.val): cntrls = self.populateRow(row, val) for col in crange(len(cntrls)): self.layout.addWidget(cntrls[col], row, col) for c in cntrls: c.show() self.controls.append(cntrls) # buttons at end bbox = qt4.QWidget() h = qt4.QHBoxLayout(bbox) h.setMargin(0) bbox.setLayout(h) self.layout.addWidget(bbox, row+1, 0, 1, -1) # a button to add a new entry b = qt4.QPushButton('Add') h.addWidget(b) b.clicked.connect(self.onAddClicked) b.show() # a button to delete the last entry b = qt4.QPushButton('Delete') h.addWidget(b) b.clicked.connect(self.onDeleteClicked) b.setEnabled( len(self.setting.val) > 0 ) b.show() def onAddClicked(self): """Add a line style to the list given.""" rows = list(self.setting.val) if len(rows) != 0: rows.append(rows[-1]) else: rows.append(self.defaultval) self.sigSettingChanged.emit(self, self.setting, rows) def onDeleteClicked(self): """Remove final entry in settings list.""" rows = list(self.setting.val)[:-1] self.sigSettingChanged.emit(self, self.setting, rows) @qt4.pyqtSlot() def onModified(self): """called when the setting is changed remotely""" if not self.ignorechange: self.populate() else: self.ignorechange = False def identifyPosn(self, widget): """Identify the position this widget is in. Returns (row, col) or (None, None) if not found. """ for row, cntrls in enumerate(self.controls): for col, cntrl in enumerate(cntrls): if cntrl == widget: return (row, col) return (None, None) def addColorButton(self, row, col, tooltip): """Add a color button to the list at the position specified.""" color = self.setting.val[row][col] wcolor = qt4.QPushButton() wcolor.setFlat(True) wcolor.setSizePolicy(qt4.QSizePolicy.Maximum, qt4.QSizePolicy.Maximum) wcolor.setMaximumHeight(24) wcolor.setMaximumWidth(24) pix = qt4.QPixmap(self.pixsize, self.pixsize) pix.fill( utils.extendedColorToQColor(color) ) wcolor.setIcon( qt4.QIcon(pix) ) wcolor.setToolTip(tooltip) wcolor.clicked.connect(self.onColorClicked) return wcolor def addToggleButton(self, row, col, tooltip): """Make a toggle button.""" toggle = self.setting.val[row][col] wtoggle = qt4.QCheckBox() wtoggle.setChecked(toggle) wtoggle.setToolTip(tooltip) wtoggle.toggled.connect(self.onToggled) return wtoggle def addCombo(self, row, col, tooltip, values, icons, texts): """Make an enumeration combo - choose from a set of icons.""" val = self.setting.val[row][col] wcombo = qt4.QComboBox() if texts is None: for icon in icons: wcombo.addItem(icon, "") else: for text, icon in czip(texts, icons): wcombo.addItem(icon, text) wcombo.setCurrentIndex(values.index(val)) wcombo.setToolTip(tooltip) wcombo.activated[int].connect(self.onComboChanged) wcombo._vz_values = values return wcombo def _updateRowCol(self, row, col, val): """Update value on row and column.""" rows = list(self.setting.val) items = list(rows[row]) items[col] = val rows[row] = tuple(items) self.ignorechange = True self.sigSettingChanged.emit(self, self.setting, rows) def onToggled(self, on): """Checkbox toggled.""" row, col = self.identifyPosn(self.sender()) self._updateRowCol(row, col, on) def onComboChanged(self, val): """Update the setting if the combo changes.""" sender = self.sender() row, col = self.identifyPosn(sender) self._updateRowCol(row, col, sender._vz_values[val]) def onColorClicked(self): """Color button clicked for line.""" sender = self.sender() row, col = self.identifyPosn(sender) rows = self.setting.val color = qt4.QColorDialog.getColor( utils.extendedColorToQColor(rows[row][col]), self, "Choose color", qt4.QColorDialog.ShowAlphaChannel ) if color.isValid(): # change setting # this is a bit irritating, as have to do lots of # tedious conversions color = utils.extendedColorFromQColor(color) self._updateRowCol(row, col, color) # change the color pix = qt4.QPixmap(self.pixsize, self.pixsize) pix.fill( utils.extendedColorToQColor(color) ) sender.setIcon( qt4.QIcon(pix) ) class LineSet(ListSet): """A list of line styles. """ def __init__(self, setting, parent): ListSet.__init__(self, ('solid', '1pt', 'black', False), setting, parent) def populateRow(self, row, val): """Add the widgets for the row given.""" # create line icons if not already created if LineStyle._icons is None: LineStyle._generateIcons() # make line style selector wlinestyle = self.addCombo(row, 0, _('Line style'), LineStyle._lines, LineStyle._icons, None) # make line width edit box wwidth = qt4.QLineEdit() wwidth.setText(self.setting.val[row][1]) wwidth.setToolTip('Line width') wwidth.editingFinished.connect(self.onWidthChanged) # make color selector button wcolor = self.addColorButton(row, 2, _('Line color')) # make hide checkbox whide = self.addToggleButton(row, 3, _('Hide line')) # return created controls return [wlinestyle, wwidth, wcolor, whide] def onWidthChanged(self): """Width has changed - validate.""" sender = self.sender() row, col = self.identifyPosn(sender) text = sender.text() from . import setting if setting.Distance.isDist(text): # valid distance styleClear(sender) self._updateRowCol(row, col, text) else: # invalid distance styleError(sender) class _FillBox(qt4.QScrollArea): """Pop up box for extended fill settings.""" sigSettingChanged = qt4.pyqtSignal(qt4.QObject, object, object) closing = qt4.pyqtSignal(int) def __init__(self, doc, thesetting, row, button, parent): """Initialse widget. This is based on a PropertyList widget. FIXME: we have to import at runtime, so we should improve the inheritance here. Is using PropertyList window a hack? """ qt4.QScrollArea.__init__(self, parent) self.setWindowFlags(qt4.Qt.Popup) self.setAttribute(qt4.Qt.WA_DeleteOnClose) self.parent = parent self.row = row self.setting = thesetting self.extbrush = thesetting.returnBrushExtended(row) from ..windows.treeeditwindow import SettingsProxySingle, \ PropertyList fbox = self class DirectSetProxy(SettingsProxySingle): """Class to intercept changes of settings from UI.""" def onSettingChanged(self, control, setting, val): # set value in setting setting.val = val # tell box to update setting fbox.onSettingChanged() # actual widget for changing the fill plist = PropertyList(doc) plist.updateProperties( DirectSetProxy(doc, self.extbrush) ) self.setWidget(plist) utils.positionFloatingPopup(self, button) self.installEventFilter(self) def onSettingChanged(self): """Called when user changes a fill property.""" # get value of brush and get data for row e = self.extbrush rowdata = [e.style, e.color, e.hide] if e.style != 'solid': rowdata += [ e.transparency, e.linewidth, e.linestyle, e.patternspacing, e.backcolor, e.backtransparency, e.backhide ] rowdata = tuple(rowdata) if self.setting.val[self.row] != rowdata: # if row different, send update signal val = list(self.setting.val) val[self.row] = rowdata self.sigSettingChanged.emit(self, self.setting, val) def eventFilter(self, obj, event): """Grab clicks outside this window to close it.""" if ( isinstance(event, qt4.QMouseEvent) and event.buttons() != qt4.Qt.NoButton ): frame = qt4.QRect(0, 0, self.width(), self.height()) if not frame.contains(event.pos()): self.close() return True return qt4.QScrollArea.eventFilter(self, obj, event) def keyPressEvent(self, event): """Close if escape or return is pressed.""" qt4.QScrollArea.keyPressEvent(self, event) key = event.key() if key == qt4.Qt.Key_Escape: self.close() def closeEvent(self, event): """Tell the calling widget that we are closing, and provide the new text.""" self.closing.emit(self.row) qt4.QScrollArea.closeEvent(self, event) class FillSet(ListSet): """A list of fill settings.""" def __init__(self, setting, parent): ListSet.__init__(self, ('solid', 'black', False), setting, parent) def populateRow(self, row, val): """Add the widgets for the row given.""" # construct fill icons if not already done if FillStyle._icons is None: FillStyle._generateIcons() # make fill style selector wfillstyle = self.addCombo(row, 0, _("Fill style"), FillStyle._fills, FillStyle._icons, FillStyle._fills) wfillstyle.setMinimumWidth(self.pixsize) # make color selector button wcolor = self.addColorButton(row, 1, _("Fill color")) # make hide checkbox whide = self.addToggleButton(row, 2, _("Hide fill")) # extended options wmore = DotDotButton(tooltip=_("More options")) wmore.toggled.connect(lambda on, row=row: self.editMore(on, row)) # return widgets return [wfillstyle, wcolor, whide, wmore] def buttonAtRow(self, row): """Get .. button on row.""" return self.layout.itemAtPosition(row, 3).widget() def editMore(self, on, row): if on: fb = _FillBox(self.setting.getDocument(), self.setting, row, self.buttonAtRow(row), self.parent()) fb.closing.connect(self.boxClosing) fb.sigSettingChanged.connect(self.sigSettingChanged) fb.show() def boxClosing(self, row): """Called when the popup edit box closes.""" # uncheck the .. button self.buttonAtRow(row).setChecked(False) class MultiSettingWidget(qt4.QWidget): """A widget for storing multiple values in a tuple, with + and - signs by each entry.""" sigSettingChanged = qt4.pyqtSignal(qt4.QObject, object, object) def __init__(self, setting, doc, *args): """Construct widget as combination of LineEdit and PushButton for browsing.""" qt4.QWidget.__init__(self, *args) self.setting = setting self.document = doc self.grid = layout = qt4.QGridLayout() layout.setHorizontalSpacing(0) layout.setContentsMargins(0, 0, 0, 0) self.setLayout(layout) self.last = () self.controls = [] self.setting.setOnModified(self.onModified) def makeRow(self): """Make new row at end""" row = len(self.controls) cntrl = self.makeControl(row) cntrl.installEventFilter(self) addbutton = qt4.QPushButton('+') addbutton.setFixedWidth(24) addbutton.setFlat(True) addbutton.setToolTip('Add another item') subbutton = qt4.QPushButton('-') subbutton.setToolTip('Remove item') subbutton.setFixedWidth(24) subbutton.setFlat(True) self.controls.append((cntrl, addbutton, subbutton)) self.grid.addWidget(cntrl, row, 0) self.grid.addWidget(addbutton, row, 1) self.grid.addWidget(subbutton, row, 2) addbutton.clicked.connect(lambda: self.addPressed(row)) subbutton.clicked.connect(lambda: self.subPressed(row)) if len(self.controls) == 2: # enable first subtraction button self.controls[0][2].setEnabled(True) elif len(self.controls) == 1: # or disable self.controls[0][2].setEnabled(False) def eventFilter(self, obj, event): """Capture loss of focus by controls.""" if event.type() == qt4.QEvent.FocusOut: for row, c in enumerate(self.controls): if c[0] is obj: self.dataChanged(row) break return qt4.QWidget.eventFilter(self, obj, event) def deleteRow(self): """Remove last row""" for w in self.controls[-1]: self.grid.removeWidget(w) w.deleteLater() self.controls.pop(-1) # disable first subtraction button if len(self.controls) == 1: self.controls[0][2].setEnabled(False) def addPressed(self, row): """User adds a new row.""" val = list(self.setting.val) val.insert(row+1, '') self.sigSettingChanged.emit(self, self.setting, tuple(val)) def subPressed(self, row): """User deletes a row.""" val = list(self.setting.val) val.pop(row) self.sigSettingChanged.emit(self, self.setting, tuple(val)) @qt4.pyqtSlot() def onModified(self): """Called when the setting is changed remotely, or when control is opened""" s = self.setting if self.last == s.val: return self.last = s.val # update number of rows while len(self.setting.val) > len(self.controls): self.makeRow() while len(self.setting.val) < len(self.controls): self.deleteRow() # update values self.updateControls() def makeControl(self, row): """Override this to make an editing widget.""" return None def updateControls(self): """Override this to update values in controls.""" pass def readControl(self, cntrl): """Read value from control.""" return None def dataChanged(self, row): """Update row of setitng with new data""" val = list(self.setting.val) val[row] = self.readControl( self.controls[row][0] ) self.sigSettingChanged.emit(self, self.setting, tuple(val)) class Datasets(MultiSettingWidget): """A control for editing a list of datasets.""" def __init__(self, setting, doc, dimensions, datatype, *args): """Contruct set of comboboxes""" MultiSettingWidget.__init__(self, setting, doc, *args) self.dimensions = dimensions self.datatype = datatype self.lastdatasets = [] # force updating to initialise self.onModified() def makeControl(self, row): """Make QComboBox edit widget.""" combo = qt4.QComboBox() combo.setEditable(True) combo.lineEdit().editingFinished.connect(lambda: self.dataChanged(row)) # if a different item is selected combo.activated[str].connect(lambda x: self.dataChanged(row)) utils.populateCombo(combo, self.getDatasets()) return combo def readControl(self, control): """Get text for control.""" return control.lineEdit().text() def getDatasets(self): """Get applicable datasets (sorted).""" datasets = [] for name, ds in citems(self.document.data): if (ds.dimensions == self.dimensions and ds.datatype == self.datatype): datasets.append(name) datasets.sort() return datasets def updateControls(self): """Set values of controls.""" for cntrls, val in czip(self.controls, self.setting.val): cntrls[0].lineEdit().setText(val) @qt4.pyqtSlot() def onModified(self): """Called when the setting is changed remotely, or when control is opened""" MultiSettingWidget.onModified(self) datasets = self.getDatasets() if self.lastdatasets == datasets: return self.lastdatasets = datasets # update list of datasets for cntrls in self.controls: utils.populateCombo(cntrls[0], datasets) class Strings(MultiSettingWidget): """A list of strings.""" def __init__(self, setting, doc, *args): """Construct widget as combination of LineEdit and PushButton for browsing.""" MultiSettingWidget.__init__(self, setting, doc, *args) self.onModified() def makeControl(self, row): """Make edit widget.""" lineedit = qt4.QLineEdit() lineedit.editingFinished.connect(lambda: self.dataChanged(row)) return lineedit def readControl(self, control): """Get text for control.""" return control.text() def updateControls(self): """Set values of controls.""" for cntrls, val in czip(self.controls, self.setting.val): cntrls[0].setText(val) class Filename(qt4.QWidget): """A widget for selecting a filename with a browse button.""" sigSettingChanged = qt4.pyqtSignal(qt4.QObject, object, object) def __init__(self, setting, mode, parent): """Construct widget as combination of LineEdit and PushButton for browsing. mode is 'image' or 'file' """ qt4.QWidget.__init__(self, parent) self.mode = mode self.setting = setting layout = qt4.QHBoxLayout() layout.setSpacing(0) layout.setMargin(0) self.setLayout(layout) # the actual edit control self.edit = qt4.QLineEdit() self.edit.setText( setting.toText() ) layout.addWidget(self.edit) b = self.button = DotDotButton(checkable=False, tooltip=_("Browse for file")) layout.addWidget(b) # connect up signals self.edit.editingFinished.connect(self.validateAndSet) b.clicked.connect(self.buttonClicked) # completion support c = self.filenamecompleter = qt4.QCompleter(self) model = qt4.QDirModel(c) c.setModel(model) self.edit.setCompleter(c) # for read only filenames if setting.readonly: self.edit.setReadOnly(True) self.setting.setOnModified(self.onModified) def buttonClicked(self): """Button clicked - show file open dialog.""" title = _('Choose file') filefilter = _("All files (*)") if self.mode == 'image': title = _('Choose image') filefilter = ("Images (*.png *.jpg *.jpeg *.bmp *.svg *.tiff *.tif " "*.gif *.xbm *.xpm);;" + filefilter) filename = qt4.QFileDialog.getOpenFileName( self, title, self.edit.text(), filefilter) if filename: self.sigSettingChanged.emit(self, self.setting, filename) def validateAndSet(self): """Check the text is a valid setting and update it.""" text = self.edit.text() try: val = self.setting.fromText(text) styleClear(self.edit) self.sigSettingChanged.emit(self, self.setting, val) except utils.InvalidType: styleError(self.edit) @qt4.pyqtSlot() def onModified(self): """called when the setting is changed remotely""" self.edit.setText( self.setting.toText() ) class FontFamily(qt4.QFontComboBox): """List the font families, showing each font.""" sigSettingChanged = qt4.pyqtSignal(qt4.QObject, object, object) def __init__(self, setting, parent): """Create the combobox.""" qt4.QFontComboBox.__init__(self, parent) self.setting = setting self.setFontFilters( qt4.QFontComboBox.ScalableFonts ) # set initial value self.onModified() # stops combobox readjusting in size to fit contents self.setSizeAdjustPolicy( qt4.QComboBox.AdjustToMinimumContentsLengthWithIcon) self.setting.setOnModified(self.onModified) # if a different item is selected self.activated[str].connect(self.slotActivated) def focusOutEvent(self, *args): """Allows us to check the contents of the widget.""" qt4.QFontComboBox.focusOutEvent(self, *args) self.slotActivated('') def slotActivated(self, val): """Update setting if a different item is chosen.""" newval = self.currentText() self.sigSettingChanged.emit(self, self.setting, newval) @qt4.pyqtSlot() def onModified(self): """Make control reflect chosen setting.""" self.setCurrentFont( qt4.QFont(self.setting.toText()) ) class ErrorStyle(Choice): """Choose different error bar styles.""" _icons = None # generated icons _errorstyles = None # copied in by setting.py def __init__(self, setting, parent): if self._icons is None: self._generateIcons() Choice.__init__(self, setting, False, self._errorstyles, parent, icons=self._icons) @classmethod def _generateIcons(cls): """Generate a list of pixmaps for drop down menu.""" cls._icons = [] for errstyle in cls._errorstyles: cls._icons.append( utils.getIcon('error_%s' % errstyle) ) class Colormap(Choice): """Give the user a preview of colormaps. Based on Choice to make life easier """ _icons = {} size = (32, 12) def __init__(self, setn, document, parent): names = sorted(document.colormaps) icons = Colormap._generateIcons(document, names) Choice.__init__(self, setn, True, names, parent, icons=icons) self.setIconSize( qt4.QSize(*self.size) ) @classmethod def _generateIcons(kls, document, names): """Generate a list of icons for drop down menu.""" # create a fake dataset smoothly varying from 0 to size[0]-1 size = kls.size fakedataset = N.fromfunction(lambda x, y: y, (size[1], size[0])) # keep track of icons to return retn = [] # iterate over colour maps for name in names: val = document.colormaps.get(name, None) if val in kls._icons: icon = kls._icons[val] else: if val is None: # empty icon pixmap = qt4.QPixmap(*size) pixmap.fill(qt4.Qt.transparent) else: # generate icon image = utils.applyColorMap(val, 'linear', fakedataset, 0., size[0]-1., 0) pixmap = qt4.QPixmap.fromImage(image) icon = qt4.QIcon(pixmap) kls._icons[val] = icon retn.append(icon) return retn class AxisBound(Choice): """Control for setting bounds of axis. This is to allow dates etc """ def __init__(self, setting, *args): Choice.__init__(self, setting, True, ['Auto'], *args) modesetn = setting.parent.get('mode') modesetn.setOnModified(self.modeChange) @qt4.pyqtSlot() def modeChange(self): """Called if the mode of the axis changes. Re-set text as float or date.""" if self.currentText().lower() != 'auto': self.setEditText( self.setting.toText() ) veusz-1.21.1/veusz/setting/__init__.py0000644000175000017500000000210512327177747016111 0ustar jssjss# Copyright (C) 2005 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### from .settingdb import * from .reference import Reference, ReferenceMultiple from .setting import * from .settings import * from .collections import * from .stylesheet import * veusz-1.21.1/veusz/setting/stylesheet.py0000664000175000017500000001121612237406466016541 0ustar jssjss# Copyright (C) 2009 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## from __future__ import division, print_function import sys from .settings import Settings from . import setting from . import collections from .. import qtall as qt4 def _(text, disambiguation=None, context="Setting"): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class StyleSheet(Settings): """A class for handling default values of settings. Settings are registered to be added to the stylesheet.""" registeredsettings = [] @classmethod def register(kls, settingskls, posn=None): """Register a settings object with the stylesheet. This settings object is copied for each new document. """ if posn is None: kls.registeredsettings.append(settingskls) else: kls.registeredsettings.insert(posn, settingskls) def __init__(self, **args): """Create the default settings.""" Settings.__init__(self, 'StyleSheet', setnsmode='stylesheet', **args) self.pixmap = 'settings_stylesheet' for subset in self.registeredsettings: self.add( subset() ) class StylesheetLine(Settings): """Hold the properties of the default line.""" def __init__(self): Settings.__init__(self, 'Line', pixmap='settings_plotline', descr=_('Default line style for document'), usertext=_('Line')) self.add( setting.DistancePt('width', '0.5pt', descr=_('Default line width'), usertext=_('Width'), formatting=True) ) self.add( setting.Color('color', 'black', descr=_('Default line color'), usertext=_('Color'), formatting=True) ) # register these properties with the stylesheet StyleSheet.register(StylesheetLine) def _registerFontStyleSheet(): """Get fonts, and register default with StyleSheet and Text class.""" families = qt4.QFontDatabase().families() deffont = None for f in ('Times New Roman', 'Bitstream Vera Serif', 'Times', 'Utopia', 'Serif'): if f in families: deffont = f break if deffont is None: print("Warning: did not find a sensible default font. Choosing first font.", file=sys.stderr) deffont = families[0] collections.Text.defaultfamily = deffont collections.Text.families = families StylesheetText.defaultfamily = deffont StylesheetText.families = families class StylesheetText(Settings): """Hold properties of default text font.""" defaultfamily = None families = None def __init__(self): """Initialise with default font family and list of families.""" Settings.__init__(self, 'Font', pixmap='settings_axislabel', descr=_('Default font for document'), usertext=_('Font')) if StylesheetText.defaultfamily is None: _registerFontStyleSheet() self.add( setting.FontFamily('font', StylesheetText.defaultfamily, descr=_('Font name'), usertext=_('Font'), formatting=True)) self.add( setting.DistancePt('size', '14pt', descr=_('Default font size'), usertext=_('Size'), formatting=True)) self.add( setting.Color('color', 'black', descr=_('Default font color'), usertext=_('Color'), formatting=True)) StyleSheet.register(StylesheetText) veusz-1.21.1/veusz/setting/reference.py0000644000175000017500000001266012327177747016317 0ustar jssjss# Copyright (C) 2009 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### from __future__ import division class ReferenceBase(object): """Reference objects are inherited from this base class. They should have a "value" property. """ class ResolveException(ValueError): pass def __init__(self, value): self.value = value def getPaths(self): """Return list of paths linked by reference.""" def resolve(self, setn): """Return setting this is linked to.""" def setOnModified(self, setn, fn): """Set on modified on settings pointed to by this reference.""" class Reference(ReferenceBase): """A value a setting can have to point to another setting. Formats of a reference are like /foo/bar/setting or ../Line/width alternatively style sheets can be used with the format, e.g. /StyleSheet/linewidth """ def __init__(self, value): """Initialise reference with value, which is a string as above.""" ReferenceBase.__init__(self, value) self.split = value.split('/') self.resolved = None def getPaths(self): """Path linked by setting.""" return [self.value] def resolve(self, thissetting): """Return the setting object associated with the reference.""" # this is for stylesheet references which don't move if self.resolved: return self.resolved item = thissetting.parent parts = list(self.split) if parts[0] == '': # need root widget if begins with slash while item.parent is not None: item = item.parent parts = parts[1:] # do an iterative lookup of the setting for p in parts: if p == '..': if item.parent is not None: item = item.parent elif p == '': pass else: if item.isWidget(): child = item.getChild(p) if not child: try: item = item.settings.get(p) except KeyError: raise self.ResolveException() else: item = child else: try: item = item.get(p) except KeyError: raise self.ResolveException() # shortcut to resolve stylesheets # hopefully this won't ever change if len(self.split) > 2 and self.split[1] == 'StyleSheet': self.resolved = item return item def setOnModified(self, setn, fn): """Set on modified on settings pointed to by this reference.""" resolved = self.resolve(setn) resolved.setOnModified(fn) class ReferenceMultiple(ReferenceBase): """A reference to more than one item. This allows references to override other references. If one is not the default value, this overrides the others. References to the right of the list override those on the left. """ def __init__(self, paths): """Initialise with a list of paths.""" ReferenceBase.__init__(self, paths) self.refs = [Reference(p) for p in paths] def getPaths(self): """List of paths linked by setting.""" return self.value def resolve(self, thissetting): """Resolve to setting. We prefer destination settings which are: - To the right of the list of paths - Which are closer in terms of the number of reference jumps Hopefully this algorithm isn't too slow... """ retn = None minjumps = 99999 for ref in self.refs: try: setn = ref.resolve(thissetting) jumps = 1 while isinstance(setn._val, ReferenceBase): setn = setn._val.resolve(setn) jumps += 1 if retn is None: retn = setn minjumps = jumps else: if jumps <= minjumps and not setn.isDefault(): retn = setn minjumps = jumps except self.ResolveException: pass if retn is None: raise self.ResolveException("Not linked to any settings") return retn def setOnModified(self, setn, fn): """Set on modified on settings pointed to by this reference.""" for ref in self.refs: resolved = ref.resolve(setn) resolved.setOnModified(fn) veusz-1.21.1/veusz/setting/settingdb.py0000664000175000017500000001632412376130006016324 0ustar jssjss# Copyright (C) 2005 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### """A database for default values of settings.""" from __future__ import division, print_function import sys import numpy as N from .. import qtall as qt4 def _(text, disambiguation=None, context="Preferences"): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) # default values to some settings in case the user does not have these defaultValues = { # export options 'export_DPI': 100, 'export_DPI_PDF': 150, 'export_color': True, 'export_antialias': True, 'export_quality': 85, 'export_background': '#ffffff00', 'export_SVG_text_as_text': False, # plot options 'plot_updatepolicy': -1, # update on document changed 'plot_antialias': True, 'plot_numthreads': 2, # recent files list 'main_recentfiles': [], # default stylesheet 'stylesheet_default': '', # default custom definitons 'custom_default': '', # colors (isdefault, 'notdefaultcolor') 'color_page': (True, 'white'), 'color_error': (True, 'red'), 'color_command': (True, 'blue'), 'color_cntrlline': (True, 'blue'), 'color_cntrlcorner': (True, 'black'), # further ui options 'toolbar_size': 24, # if set to true, do UI formatting in US/English 'ui_english': False, # use cwd as starting directory 'dirname_usecwd': False, # ask tutorial before? 'ask_tutorial': False, # log picked points to clipboard or to console 'picker_to_clipboard': False, 'picker_to_console': True } class _SettingDB(object): """A class which provides access to a persistant settings database. Items are accesses as a dict, with items as key=value """ # list of colors colors = ('page', 'error', 'command', 'cntrlline', 'cntrlcorner') # default colors if isdefault is set in the setting color_defaults = { 'page': 'LightBase', 'error': 'red', 'command': 'blue', 'cntrlline': 'blue', 'cntrlcorner': 'black', } def __init__(self): """Initialise the object, reading the settings.""" # This domain name is fictional! self.domain = 'veusz.org' self.product = 'veusz' self.database = {} self.sepchars = "%%%" # read settings using QSettings self.readSettings() def color(self, name): """Get a color setting as a QColor.""" val = self.database['color_' + name] if val[0]: default = self.color_defaults[name] if default == 'LightBase': base = qt4.qApp.palette().color(qt4.QPalette.Base) if base.value() < 127: base = qt4.QColor(qt4.Qt.white) return base return qt4.QColor(default) else: return qt4.QColor(val[1]) def readSettings(self): """Read the settings using QSettings. Entries have / replaced with set of characters self.sepchars This is because it greatly simplifies the logic as QSettings has special meaning for / The only issues are that the key may be larger than 255 characters We should probably check for this """ s = qt4.QSettings(self.domain, self.product) for key in s.childKeys(): val = s.value(key) realkey = key.replace(self.sepchars, '/') try: self.database[realkey] = eval(val) except: print('Error interpreting item "%s" in ' 'settings file' % realkey, file=sys.stderr) # set any defaults which haven't been set for key in defaultValues: if key not in self.database: self.database[key] = defaultValues[key] def writeSettings(self): """Write the settings using QSettings. This is called by the mainwindow on close """ s = qt4.QSettings(self.domain, self.product) # write each entry, keeping track of which ones haven't been written cleankeys = [] for key in self.database: cleankey = key.replace('/', self.sepchars) cleankeys.append(cleankey) s.setValue(cleankey, repr(self.database[key])) # now remove all the values which have been removed for key in list(s.childKeys()): if key not in cleankeys: s.remove(key) def get(self, key, defaultval=None): """Return key if it is in database, else defaultval.""" return self.database.get(key, defaultval) def __getitem__(self, key): """Get the item from the database.""" return self.database[key] def __setitem__(self, key, value): """Set the value in the database.""" self.database[key] = value def __delitem__(self, key): """Remove the key from the database.""" del self.database[key] def __contains__(self, key): """Is the key in the database.""" return key in self.database # create the SettingDB singleton settingdb = _SettingDB() # a normal dict for non-persistent settings # (e.g. disable safe mode) transient_settings = {} def updateUILocale(): """Update locale to one given in preferences.""" global uilocale if settingdb['ui_english']: uilocale = qt4.QLocale.c() else: uilocale = qt4.QLocale.system() uilocale.setNumberOptions(qt4.QLocale.OmitGroupSeparator) qt4.QLocale.setDefault(uilocale) def ui_floattostring(f): """Convert float to string with more precision.""" if not N.isfinite(f): if N.isnan(f): return 'nan' if f < 0: return '-inf' return 'inf' elif 1e-4 <= abs(f) <= 1e5 or f == 0: s = '%.14g' % f # strip excess zeros to right if s.find('.') >= 0: s = s.rstrip('0').rstrip('.') else: s = '%.14e' % f # split into mantissa/exponent and strip extra zeros, etc mant, expon = s.split('e') mant = mant.rstrip('0').rstrip('.') expon = int(expon) s = '%se%i' % (mant, expon) # make decimal point correct for local s = s.replace('.', uilocale.decimalPoint()) return s def ui_stringtofloat(s): """Convert string to float, allowing for decimal point in different locale.""" s = s.replace(uilocale.decimalPoint(), '.') return float(s) updateUILocale() veusz-1.21.1/veusz/windows/0000775000175000017500000000000012376130063014001 5ustar jssjssveusz-1.21.1/veusz/windows/plotwindow.py0000644000175000017500000013402712327177747016606 0ustar jssjss# plotwindow.py # the main window for showing plots # Copyright (C) 2004 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## from __future__ import division import sys import traceback from ..compat import crange from .. import qtall as qt4 import numpy as N from .. import setting from ..dialogs import exceptiondialog from .. import document from .. import utils from .. import widgets def _(text, disambiguation=None, context='PlotWindow'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class PickerCrosshairItem( qt4.QGraphicsPathItem ): """The picker cross widget: it moves from point to point and curve to curve with the arrow keys, and hides itself when it looses focus""" def __init__(self, parent=None): path = qt4.QPainterPath() path.addRect(-4, -4, 8, 8) path.addRect(-5, -5, 10, 10) path.moveTo(-8, 0) path.lineTo(8, 0) path.moveTo(0, -8) path.lineTo(0, 8) qt4.QGraphicsPathItem.__init__(self, path, parent) self.setBrush(qt4.QBrush(qt4.Qt.black)) self.setFlags(self.flags() | qt4.QGraphicsItem.ItemIsFocusable) def paint(self, painter, option, widget): """Override this to enforce the global antialiasing setting""" aa = setting.settingdb['plot_antialias'] painter.save() painter.setRenderHint(qt4.QPainter.Antialiasing, aa) qt4.QGraphicsPathItem.paint(self, painter, option, widget) painter.restore() def focusOutEvent(self, event): qt4.QGraphicsPathItem.focusOutEvent(self, event) self.hide() class RenderControl(qt4.QObject): """Object for rendering plots in a separate thread.""" signalRenderFinished = qt4.pyqtSignal( int, qt4.QImage, document.PaintHelper) def __init__(self, plotwindow): """Start up numthreads rendering threads.""" qt4.QObject.__init__(self) self.sem = qt4.QSemaphore() self.mutex = qt4.QMutex() self.threads = [] self.exit = False self.latestjobs = [] self.latestaddedjob = -1 self.latestdrawnjob = -1 self.plotwindow = plotwindow self.updateNumberThreads() def updateNumberThreads(self, num=None): """Changes the number of rendering threads.""" if num is None: if qt4.QFontDatabase.supportsThreadedFontRendering(): # use number of threads in preference num = setting.settingdb['plot_numthreads'] else: # disable threads num = 0 if self.threads: # delete old ones self.exit = True self.sem.release(len(self.threads)) for t in self.threads: t.wait() del self.threads[:] self.exit = False # start new ones for i in crange(num): t = RenderThread(self) t.start() self.threads.append(t) def exitThreads(self): """Exit threads started.""" self.updateNumberThreads(num=0) def processNextJob(self): """Take a job from the queue and process it. emits renderfinished(jobid, img, painthelper) when done, if job has not been superseded """ self.mutex.lock() jobid, helper = self.latestjobs[-1] del self.latestjobs[-1] lastadded = self.latestaddedjob self.mutex.unlock() # don't process jobs which have been superseded if lastadded == jobid: img = qt4.QImage(helper.pagesize[0], helper.pagesize[1], qt4.QImage.Format_ARGB32_Premultiplied) img.fill( setting.settingdb.color('page').rgb() ) painter = qt4.QPainter(img) aa = self.plotwindow.antialias painter.setRenderHint(qt4.QPainter.Antialiasing, aa) painter.setRenderHint(qt4.QPainter.TextAntialiasing, aa) helper.renderToPainter(painter) painter.end() self.mutex.lock() # just throw away result if it older than the latest one if jobid > self.latestdrawnjob: self.signalRenderFinished.emit(jobid, img, helper) self.latestdrawnjob = jobid self.mutex.unlock() # tell any listeners that a job has been processed self.plotwindow.sigQueueChange.emit(-1) def addJob(self, helper): """Process drawing job in PaintHelper given.""" # indicate that there is a new item to be processed to listeners self.plotwindow.sigQueueChange.emit(1) # add the job to the queue self.mutex.lock() self.latestaddedjob += 1 self.latestjobs.append( (self.latestaddedjob, helper) ) self.mutex.unlock() if self.threads: # tell a thread to process job self.sem.release(1) else: # process job in current thread if multithreading disabled self.processNextJob() class RenderThread( qt4.QThread ): """A thread for processing rendering jobs. This is controlled by a RenderControl object """ def __init__(self, rendercontrol): qt4.QThread.__init__(self) self.rc = rendercontrol def run(self): """Repeat forever until told to exit. If it aquires 1 resource from the semaphore it will process the next job. """ while True: # wait until we can aquire the resources self.rc.sem.acquire(1) if self.rc.exit: break try: self.rc.processNextJob() except Exception: sys.stderr.write(_("Error in rendering thread\n")) traceback.print_exc(file=sys.stderr) class PlotWindow( qt4.QGraphicsView ): """Class to show the plot(s) in a scrollable window.""" # emitted when new item on plot queue sigQueueChange = qt4.pyqtSignal(int) # on drawing a page sigUpdatePage = qt4.pyqtSignal(int) # point picked on plot sigPointPicked = qt4.pyqtSignal(object) # picker enabled sigPickerEnabled = qt4.pyqtSignal(bool) # axis values update from moving mouse sigAxisValuesFromMouse = qt4.pyqtSignal(dict) # gives widget clicked sigWidgetClicked = qt4.pyqtSignal(object) # how often the document can update updateintervals = ( (0, _('Disable')), (-1, _('On document change')), (100, _('Every 0.1s')), (250, _('Every 0.25s')), (500, _('Every 0.5s')), (1000, _('Every 1s')), (2000, _('Every 2s')), (5000, _('Every 5s')), (10000, _('Every 10s')), ) def __init__(self, document, parent, menu=None): """Initialise the window. menu gives a menu to add any menu items to """ qt4.QGraphicsView.__init__(self, parent) self.setBackgroundRole(qt4.QPalette.Dark) self.scene = qt4.QGraphicsScene() self.setScene(self.scene) # this graphics scene item is the actual graph pixmap = qt4.QPixmap(1, 1) self.dpi = (pixmap.logicalDpiX(), pixmap.logicalDpiY()) self.pixmapitem = self.scene.addPixmap(pixmap) # whether full screen mode self.isfullscreen = False # set to be parent's actions self.vzactions = None # for controlling plot elements g = self.controlgraphgroup = qt4.QGraphicsItemGroup() g.setHandlesChildEvents(False) self.scene.addItem(g) # zoom rectangle for zooming into graph (not shown normally) self.zoomrect = self.scene.addRect( 0, 0, 100, 100, qt4.QPen(qt4.Qt.DotLine) ) self.zoomrect.setZValue(2.) self.zoomrect.hide() # picker graphicsitem for marking the picked point self.pickeritem = PickerCrosshairItem() self.scene.addItem(self.pickeritem) self.pickeritem.setZValue(2.) self.pickeritem.hide() # all the widgets that picker key-navigation might cycle through self.pickerwidgets = [] # the picker state self.pickerinfo = widgets.PickInfo() # set up so if document is modified we are notified self.document = document self.docchangeset = -100 self.oldpagenumber = -1 self.document.signalModified.connect(self.slotDocModified) # state of last plot from painthelper self.painthelper = None self.lastwidgetsselected = [] self.oldzoom = -1. self.zoomfactor = 1. self.pagenumber = 0 self.ignoreclick = False # for rendering plots in separate threads self.rendercontrol = RenderControl(self) self.rendercontrol.signalRenderFinished.connect( self.slotRenderFinished) # mode for clicking self.clickmode = 'select' self.currentclickmode = None # wheel zooming/scrolling accumulator self.sumwheeldelta = 0 # set up redrawing timer self.timer = qt4.QTimer(self) self.timer.timeout.connect(self.checkPlotUpdate) # for drag scrolling self.grabpos = None self.scrolltimer = qt4.QTimer(self) self.scrolltimer.setSingleShot(True) # for turning clicking into scrolling after a period self.scrolltimer.timeout.connect(self.slotBecomeScrollClick) # get plot view updating policy # -1: update on document changes # 0: never update automatically # >0: check for updates every x ms self.interval = setting.settingdb['plot_updatepolicy'] # if using a time-based document update checking, start timer if self.interval > 0: self.timer.start(self.interval) # load antialias settings self.antialias = setting.settingdb['plot_antialias'] # allow window to get focus, to allow context menu self.setFocusPolicy(qt4.Qt.StrongFocus) # get mouse move events if mouse is not pressed self.setMouseTracking(True) # create toolbar in main window (urgh) self.createToolbar(parent, menu) def hideEvent(self, event): """Window closing, so exit rendering threads.""" self.rendercontrol.exitThreads() qt4.QGraphicsView.hideEvent(self, event) def sizeHint(self): """Return size hint for window.""" p = self.pixmapitem.pixmap() if p.width() <= 1 and p.height() <= 1: # if the document has been uninitialized, get the doc size return qt4.QSize(*self.document.docSize()) return p.size() def showToolbar(self, show=True): """Show or hide toolbar""" self.viewtoolbar.setVisible(show) def createToolbar(self, parent, menu=None): """Make a view toolbar, and optionally update menu.""" self.viewtoolbar = qt4.QToolBar(_("View toolbar - Veusz"), parent) self.viewtoolbar.setObjectName('veuszviewtoolbar') iconsize = setting.settingdb['toolbar_size'] self.viewtoolbar.setIconSize(qt4.QSize(iconsize, iconsize)) self.viewtoolbar.hide() if parent: parent.addToolBar(qt4.Qt.TopToolBarArea, self.viewtoolbar) if parent and hasattr(parent, 'vzactions'): # share actions with parent if possible # as plot windows can be isolated from mainwindows, we need this self.vzactions = actions = parent.vzactions else: self.vzactions = actions = {} a = utils.makeAction actions.update({ 'view.zoomin': a(self, _('Zoom into the plot'), _('Zoom &In'), self.slotViewZoomIn, icon='kde-zoom-in', key='Ctrl++'), 'view.zoomout': a(self, _('Zoom out of the plot'), _('Zoom &Out'), self.slotViewZoomOut, icon='kde-zoom-out', key='Ctrl+-'), 'view.zoom11': a(self, _('Restore plot to natural size'), _('Zoom 1:1'), self.slotViewZoom11, icon='kde-zoom-1-veuszedit', key='Ctrl+1'), 'view.zoomwidth': a(self, _('Zoom plot to show whole width'), _('Zoom to width'), self.slotViewZoomWidth, icon='kde-zoom-width-veuszedit'), 'view.zoomheight': a(self, _('Zoom plot to show whole height'), _('Zoom to height'), self.slotViewZoomHeight, icon='kde-zoom-height-veuszedit'), 'view.zoompage': a(self, _('Zoom plot to show whole page'), _('Zoom to page'), self.slotViewZoomPage, icon='kde-zoom-page-veuszedit'), 'view.zoommenu': a(self, _('Zoom functions menu'), _('Zoom'), self.doZoomMenuButton, icon='kde-zoom-veuszedit'), 'view.prevpage': a(self, _('Move to the previous page'), _('&Previous page'), self.slotViewPreviousPage, icon='kde-go-previous', key='Ctrl+PgUp'), 'view.nextpage': a(self, _('Move to the next page'), _('&Next page'), self.slotViewNextPage, icon='kde-go-next', key='Ctrl+PgDown'), 'view.select': a(self, _('Select items from the graph or scroll'), _('Select items or scroll'), None, icon='kde-mouse-pointer'), 'view.pick': a(self, _('Read data points on the graph'), _('Read data points'), None, icon='veusz-pick-data'), 'view.zoomgraph': a(self, _('Zoom into graph'), _('Zoom graph'), None, icon='veusz-zoom-graph'), 'view.fullscreen': a(self, _('View plot full screen'), _('Full screen'), self.slotFullScreen, icon='veusz-view-fullscreen', key='Ctrl+F11'), }) if menu: # only construct menu if required menuitems = [ ('view', '', [ 'view.zoomin', 'view.zoomout', 'view.zoom11', 'view.zoomwidth', 'view.zoomheight', 'view.zoompage', '', 'view.prevpage', 'view.nextpage', 'view.fullscreen', '', 'view.select', 'view.pick', 'view.zoomgraph', ]), ] utils.constructMenus(menu, {'view': menu}, menuitems, actions) # populate menu on zoom menu toolbar icon zoommenu = qt4.QMenu(self) zoomag = qt4.QActionGroup(self) for act in ('view.zoomin', 'view.zoomout', 'view.zoom11', 'view.zoomwidth', 'view.zoomheight', 'view.zoompage'): a = actions[act] zoommenu.addAction(a) zoomag.addAction(a) a.vzname = act actions['view.zoommenu'].setMenu(zoommenu) zoomag.triggered.connect(self.zoomActionTriggered) lastzoom = setting.settingdb.get('view_defaultzoom', 'view.zoompage') self.updateZoomMenuButton(actions[lastzoom]) # add items to toolbar utils.addToolbarActions(self.viewtoolbar, actions, ('view.prevpage', 'view.nextpage', 'view.fullscreen', 'view.select', 'view.pick', 'view.zoomgraph', 'view.zoommenu')) # define action group for various different selection models grp = self.selectactiongrp = qt4.QActionGroup(self) grp.setExclusive(True) for a in ('view.select', 'view.pick', 'view.zoomgraph'): actions[a].setActionGroup(grp) actions[a].setCheckable(True) actions['view.select'].setChecked(True) grp.triggered.connect(self.slotSelectMode) return self.viewtoolbar def zoomActionTriggered(self, action): """Keep track of the last zoom action selected.""" setting.settingdb['view_defaultzoom'] = action.vzname self.updateZoomMenuButton(action) def updateZoomMenuButton(self, action): """Make zoom button call default zoom action and change icon.""" menuact = self.vzactions['view.zoommenu'] setting.settingdb['view_defaultzoom'] = action.vzname menuact.setIcon( action.icon() ) def doZoomMenuButton(self): """Select previous zoom option when clicking on zoom menu.""" act = self.vzactions[setting.settingdb['view_defaultzoom']] act.trigger() def doZoomRect(self, endpos): """Take the zoom rectangle drawn by the user and do the zooming. endpos is a QPoint end point This is pretty messy - first we have to work out the graph associated to the first point Then we have to iterate over each of the plotters, identify their axes, and change the range of the axes to match the screen region selected. """ # safety net if self.grabpos is None or endpos is None: return # get points corresponding to corners of rectangle pt1 = self.grabpos pt2 = endpos # work out whether it's worthwhile to zoom: only zoom if there # are >=5 pixels movement if abs((pt2-pt1).x()) < 10 or abs((pt2-pt1).y()) < 10: return # try to work out in which widget the first point is in widget = self.painthelper.pointInWidgetBounds( pt1.x(), pt1.y(), widgets.Graph) if widget is None: return # convert points on plotter to points on axis for each axis # we also add a neighbouring pixel for the rounding calculation xpts = N.array( [pt1.x(), pt2.x(), pt1.x()+1, pt2.x()-1] ) ypts = N.array( [pt1.y(), pt2.y(), pt2.y()+1, pt2.y()-1] ) # build up operation list to do zoom operations = [] axes = {} # iterate over children, to look for plotters for c in [i for i in widget.children if isinstance(i, widgets.GenericPlotter)]: # get axes associated with plotter caxes = c.parent.getAxes( (c.settings.xAxis, c.settings.yAxis) ) for a in caxes: if a: axes[a] = True # iterate over each axis, and update the ranges for axis in axes: s = axis.settings if s.direction == 'horizontal': p = xpts else: p = ypts # convert points on plotter to axis coordinates # FIXME: Need To Trap Conversion Errors! try: r = axis.plotterToGraphCoords( self.painthelper.widgetBounds(axis), p) except KeyError: continue # invert if min and max are inverted if r[1] < r[0]: r[1], r[0] = r[0], r[1] r[3], r[2] = r[2], r[3] # build up operations to change axis if s.min != r[0]: operations.append( document.OperationSettingSet( s.get('min'), utils.round2delt(r[0], r[2])) ) if s.max != r[1]: operations.append( document.OperationSettingSet( s.get('max'), utils.round2delt(r[1], r[3])) ) # finally change the axes self.document.applyOperation( document.OperationMultiple(operations,descr=_('zoom axes')) ) def axesForPoint(self, mousepos): """Find all the axes which contain the given mouse position""" if self.painthelper is None: return [] pos = self.mapToScene(mousepos) px, py = pos.x(), pos.y() axes = [] for widget, bounds in self.painthelper.widgetBoundsIterator( widgettype=widgets.Axis): # if widget is axis, and point lies within bounds if ( px>=bounds[0] and px<=bounds[2] and py>=bounds[1] and py<=bounds[3] ): # convert correct pointer position if widget.settings.direction == 'horizontal': val = px else: val = py coords=widget.plotterToGraphCoords(bounds, N.array([val])) axes.append( (widget, coords[0]) ) return axes def emitPicked(self, pickinfo): """Report that a new point has been picked""" self.pickerinfo = pickinfo self.pickeritem.setPos(pickinfo.screenpos[0], pickinfo.screenpos[1]) self.sigPointPicked.emit(pickinfo) def doPick(self, mousepos): """Find the point on any plot-like widget closest to the cursor""" self.pickerwidgets = [] pickinfo = widgets.PickInfo() pos = self.mapToScene(mousepos) for w, bounds in self.painthelper.widgetBoundsIterator(): try: # ask the widget for its (visually) closest point to the cursor info = w.pickPoint(pos.x(), pos.y(), bounds) # this is a pickable widget, so remember it for future key navigation self.pickerwidgets.append(w) if info.distance < pickinfo.distance: # and remember the overall closest pickinfo = info except AttributeError: # ignore widgets that don't support axes or picking continue if not pickinfo: self.pickeritem.hide() return self.emitPicked(pickinfo) def slotBecomeScrollClick(self): """If the click is still down when this timer is reached then we turn the click into a scrolling click.""" if self.currentclickmode == 'select': qt4.QApplication.setOverrideCursor(qt4.QCursor(qt4.Qt.SizeAllCursor)) self.currentclickmode = 'scroll' def mousePressEvent(self, event): """Allow user to drag window around.""" qt4.QGraphicsView.mousePressEvent(self, event) # work out whether user is clicking on a control point # we have to ignore the item group which seems to be above # its constituents items = self.items(event.pos()) if len(items) > 0 and isinstance(items[0], qt4.QGraphicsItemGroup): del items[0] self.ignoreclick = ( len(items)==0 or items[0] is not self.pixmapitem or self.painthelper is None ) if event.button() == qt4.Qt.LeftButton and not self.ignoreclick: # need to copy position, otherwise it gets reused! self.winpos = qt4.QPoint(event.pos()) self.grabpos = self.mapToScene(self.winpos) if self.clickmode == 'select': # we set this to true unless the timer runs out (400ms), # then it becomes a scroll click # scroll clicks drag the window around, and selecting clicks # select widgets! self.scrolltimer.start(400) elif self.clickmode == 'pick': self.pickeritem.show() self.pickeritem.setFocus(qt4.Qt.MouseFocusReason) self.doPick(event.pos()) elif self.clickmode == 'scroll': qt4.QApplication.setOverrideCursor( qt4.QCursor(qt4.Qt.SizeAllCursor)) elif self.clickmode == 'graphzoom': self.zoomrect.setRect(self.grabpos.x(), self.grabpos.y(), 0, 0) self.zoomrect.show() #self.label.drawRect(self.grabpos, self.grabpos) # record what mode we were clicked in self.currentclickmode = self.clickmode def mouseMoveEvent(self, event): """Scroll window by how much the mouse has moved since last time.""" qt4.QGraphicsView.mouseMoveEvent(self, event) if self.currentclickmode == 'scroll': event.accept() # move scroll bars by amount pos = event.pos() dx = self.winpos.x()-pos.x() scrollx = self.horizontalScrollBar() scrollx.setValue( scrollx.value() + dx ) dy = self.winpos.y()-pos.y() scrolly = self.verticalScrollBar() scrolly.setValue( scrolly.value() + dy ) # need to copy point self.winpos = qt4.QPoint(event.pos()) elif self.currentclickmode == 'graphzoom' and self.grabpos is not None: pos = self.mapToScene(event.pos()) r = self.zoomrect.rect() self.zoomrect.setRect( r.x(), r.y(), pos.x()-r.x(), pos.y()-r.y() ) elif self.clickmode == 'select' or self.clickmode == 'pick': # find axes which map to this position axes = self.axesForPoint(event.pos()) vals = dict([ (a[0].name, a[1]) for a in axes ]) self.sigAxisValuesFromMouse.emit(vals) if self.currentclickmode == 'pick': # drag the picker around self.doPick(event.pos()) def mouseReleaseEvent(self, event): """If the mouse button is released, check whether the mouse clicked on a widget, and emit a sigWidgetClicked(widget).""" qt4.QGraphicsView.mouseReleaseEvent(self, event) if event.button() == qt4.Qt.LeftButton and not self.ignoreclick: event.accept() self.scrolltimer.stop() if self.currentclickmode == 'select': # work out where the mouse clicked and choose widget pos = self.mapToScene(event.pos()) self.locateClickWidget(pos.x(), pos.y()) elif self.currentclickmode == 'scroll': # return the cursor to normal after scrolling self.clickmode = 'select' self.currentclickmode = None qt4.QApplication.restoreOverrideCursor() elif self.currentclickmode == 'graphzoom': self.zoomrect.hide() self.doZoomRect(self.mapToScene(event.pos())) self.grabpos = None elif self.currentclickmode == 'viewgetclick': self.clickmode = 'select' elif self.currentclickmode == 'pick': self.currentclickmode = None def keyPressEvent(self, event): """Keypad motion moves the picker if it has focus""" if self.pickeritem.hasFocus(): k = event.key() if k == qt4.Qt.Key_Left or k == qt4.Qt.Key_Right: # navigate to the previous or next point on the curve event.accept() dir = 'right' if k == qt4.Qt.Key_Right else 'left' ix = self.pickerinfo.index pickinfo = self.pickerinfo.widget.pickIndex( ix, dir, self.painthelper.widgetBounds( self.pickerinfo.widget)) if pickinfo: # more points visible in this direction self.emitPicked(pickinfo) return elif k == qt4.Qt.Key_Up or k == qt4.Qt.Key_Down: # navigate to the next plot up or down on the screen event.accept() p = self.pickeritem.pos() oldw = self.pickerinfo.widget pickinfo = widgets.PickInfo() dist = float('inf') for w in self.pickerwidgets: if w == oldw: continue # ask the widgets to pick their point which is closest horizontally # to the last (screen) x value picked pi = w.pickPoint(self.pickerinfo.screenpos[0], p.y(), self.painthelper.widgetBounds(w), distance='horizontal') if not pi: continue dy = p.y() - pi.screenpos[1] # take the new point which is closest vertically to the current # one and either above or below it as appropriate if abs(dy) < dist and ( (k == qt4.Qt.Key_Up and dy > 0) or (k == qt4.Qt.Key_Down and dy < 0) ): pickinfo = pi dist = abs(dy) if pickinfo: oldx = self.pickerinfo.screenpos[0] self.emitPicked(pickinfo) # restore the previous x-position, so that vertical navigation # stays repeatable pickinfo.screenpos = (oldx, pickinfo.screenpos[1]) return # handle up-stream qt4.QGraphicsView.keyPressEvent(self, event) def wheelEvent(self, event): """For zooming in or moving.""" if event.modifiers() & qt4.Qt.ControlModifier: self.sumwheeldelta += event.delta() while self.sumwheeldelta <= -120: self.slotViewZoomOut() self.sumwheeldelta += 120 while self.sumwheeldelta >= 120: self.slotViewZoomIn() self.sumwheeldelta -= 120 elif event.modifiers() & qt4.Qt.ShiftModifier: self.sumwheeldelta += event.delta() while self.sumwheeldelta <= -120: # scroll left self.sumwheeldelta += 120 scrollx = self.horizontalScrollBar() scrollx.setValue(scrollx.value() + 120) while self.sumwheeldelta >= 120: # scroll right scrollx = self.horizontalScrollBar() scrollx.setValue(scrollx.value() - 120) self.sumwheeldelta -= 120 else: qt4.QGraphicsView.wheelEvent(self, event) def locateClickWidget(self, x, y): """Work out which widget was clicked, and if necessary send a sigWidgetClicked(widget) signal.""" if self.document.getNumberPages() == 0: return widget = self.painthelper.identifyWidgetAtPoint( x, y, antialias=self.antialias) if widget is None: # select page if nothing clicked widget = self.document.basewidget.getPage(self.pagenumber) # tell connected objects that widget was clicked if widget is not None: self.sigWidgetClicked.emit(widget) def setPageNumber(self, pageno): """Move the the selected page.""" # we don't need to do anything if (self.pagenumber == pageno and self.document.changeset == self.docchangeset): return # keep within bounds pageno = min(pageno, self.document.getNumberPages()-1) pageno = max(0, pageno) self.pagenumber = pageno if self.pagenumber != self.oldpagenumber and self.interval != 0: self.checkPlotUpdate() def getPageNumber(self): """Get the the selected page.""" return self.pagenumber @qt4.pyqtSlot(int) def slotDocModified(self, ismodified): """Update plot on document being modified.""" # only update if doc is modified and the update policy is set # to update on document updates if ismodified and self.interval == -1: self.checkPlotUpdate() def checkPlotUpdate(self): """Check whether plot needs updating.""" # print >>sys.stderr, "checking update" # no threads, so can't get interrupted here # draw data into background pixmap if modified if ( self.zoomfactor != self.oldzoom or self.document.changeset != self.docchangeset or self.pagenumber != self.oldpagenumber ): # print >>sys.stderr, "updating" self.pickeritem.hide() self.pagenumber = min( self.document.getNumberPages() - 1, self.pagenumber ) self.oldpagenumber = self.pagenumber if self.pagenumber >= 0: size = self.document.pageSize( self.pagenumber, scaling=self.zoomfactor) # draw the data into the buffer # errors cause an exception window to pop up try: phelper = document.PaintHelper( size, scaling=self.zoomfactor, dpi=self.dpi) self.document.paintTo(phelper, self.pagenumber) except Exception: # stop updates this time round and show exception dialog d = exceptiondialog.ExceptionDialog(sys.exc_info(), self) self.oldzoom = self.zoomfactor self.docchangeset = self.document.changeset d.exec_() self.painthelper = phelper self.rendercontrol.addJob(phelper) else: self.painthelper = None self.pagenumber = 0 size = self.document.docSize() pixmap = qt4.QPixmap(*size) pixmap.fill( setting.settingdb.color('page') ) self.setSceneRect(0, 0, *size) self.pixmapitem.setPixmap(pixmap) self.sigUpdatePage.emit(self.pagenumber) self.updatePageToolbar() self.updateControlGraphs(self.lastwidgetsselected) self.oldzoom = self.zoomfactor self.docchangeset = self.document.changeset def slotRenderFinished(self, jobid, img, helper): """Update image on display if rendering (usually in other thread) finished.""" bufferpixmap = qt4.QPixmap.fromImage(img) self.setSceneRect(0, 0, bufferpixmap.width(), bufferpixmap.height()) self.pixmapitem.setPixmap(bufferpixmap) def updatePlotSettings(self): """Update plot window settings from settings.""" self.setTimeout(setting.settingdb['plot_updatepolicy']) self.antialias = setting.settingdb['plot_antialias'] self.rendercontrol.updateNumberThreads() self.actionForceUpdate() def contextMenuEvent(self, event): """Show context menu.""" menu = qt4.QMenu(self) # add some useful entries menu.addAction( self.vzactions['view.zoommenu'] ) menu.addSeparator() menu.addAction( self.vzactions['view.prevpage'] ) menu.addAction( self.vzactions['view.nextpage'] ) menu.addSeparator() # force an update now menu item menu.addAction(_('Force update'), self.actionForceUpdate) if self.isfullscreen: menu.addAction(_('Close full screen'), self.slotFullScreen) else: menu.addAction( self.vzactions['view.fullscreen'] ) # Update policy submenu submenu = menu.addMenu(_('Updates')) intgrp = qt4.QActionGroup(self) # bind interval options to actions for intv, text in self.updateintervals: act = intgrp.addAction(text) act.setCheckable(True) def setfn(interval): return lambda checked: self.actionSetTimeout(interval, checked) act.triggered.connect(setfn(intv)) if intv == self.interval: act.setChecked(True) submenu.addAction(act) # antialias menu.addSeparator() act = menu.addAction(_('Antialias'), self.actionAntialias) act.setCheckable(True) act.setChecked(self.antialias) menu.exec_(qt4.QCursor.pos()) def actionForceUpdate(self): """Force an update for the graph.""" self.docchangeset = -100 self.checkPlotUpdate() def slotFullScreen(self): """Show window full screen or not.""" if not self.isfullscreen: self._fullscreenwindow = FullScreenPlotWindow( self.document, self.pagenumber) else: # cheesy way of closing full screen window p = self while p.parent() is not None: p = p.parent() p.close() def setTimeout(self, interval): """Change timer setting without changing save value.""" self.interval = interval if interval <= 0: # stop updates if self.timer.isActive(): self.timer.stop() else: # change interval to one selected self.timer.setInterval(interval) # start timer if it was stopped if not self.timer.isActive(): self.timer.start() def actionSetTimeout(self, interval, checked): """Called by setting the interval.""" self.setTimeout(interval) # remember changes for next time setting.settingdb['plot_updatepolicy'] = self.interval def actionAntialias(self): """Toggle antialias.""" self.antialias = not self.antialias setting.settingdb['plot_antialias'] = self.antialias self.actionForceUpdate() def setZoomFactor(self, zoomfactor): """Set the zoom factor of the window.""" self.zoomfactor = float(zoomfactor) self.checkPlotUpdate() def slotViewZoomIn(self): """Zoom into the plot.""" self.setZoomFactor(self.zoomfactor * N.sqrt(2.)) def slotViewZoomOut(self): """Zoom out of the plot.""" self.setZoomFactor(self.zoomfactor / N.sqrt(2.)) def slotViewZoomWidth(self): """Make the zoom factor so that the plot fills the whole width.""" # need to take account of scroll bars when deciding size viewportsize = self.maximumViewportSize() aspectwin = viewportsize.width() / viewportsize.height() r = self.pixmapitem.boundingRect() aspectplot = r.width() / r.height() width = viewportsize.width() if aspectwin > aspectplot: # take account of scroll bar width -= self.verticalScrollBar().width() mult = width / r.width() self.setZoomFactor(self.zoomfactor * mult) def slotViewZoomHeight(self): """Make the zoom factor so that the plot fills the whole width.""" # need to take account of scroll bars when deciding size viewportsize = self.maximumViewportSize() aspectwin = viewportsize.width() / viewportsize.height() r = self.pixmapitem.boundingRect() aspectplot = r.width() / r.height() height = viewportsize.height() if aspectwin < aspectplot: # take account of scroll bar height -= self.horizontalScrollBar().height() mult = height / r.height() self.setZoomFactor(self.zoomfactor * mult) def slotViewZoomPage(self): """Make the zoom factor correct to show the whole page.""" viewportsize = self.maximumViewportSize() r = self.pixmapitem.boundingRect() if r.width() != 0 and r.height() != 0: multw = viewportsize.width() / r.width() multh = viewportsize.height() / r.height() self.setZoomFactor(self.zoomfactor * min(multw, multh)) def slotViewZoom11(self): """Restore the zoom to 1:1""" self.setZoomFactor(1.) def slotViewPreviousPage(self): """View the previous page.""" self.setPageNumber( self.pagenumber - 1 ) def slotViewNextPage(self): """View the next page.""" self.setPageNumber( self.pagenumber + 1 ) def updatePageToolbar(self): """Update page number when the plot window says so.""" # disable previous and next page actions if self.vzactions is not None: np = self.document.getNumberPages() self.vzactions['view.prevpage'].setEnabled(self.pagenumber != 0) self.vzactions['view.nextpage'].setEnabled(self.pagenumber < np-1) def slotSelectMode(self, action): """Called when the selection mode has changed.""" modecnvt = { self.vzactions['view.select'] : 'select', self.vzactions['view.pick'] : 'pick', self.vzactions['view.zoomgraph'] : 'graphzoom' } # close the current picker self.pickeritem.hide() self.sigPickerEnabled.emit(False) # convert action into clicking mode self.clickmode = modecnvt[action] if self.clickmode == 'select': self.pixmapitem.unsetCursor() #self.label.setCursor(qt4.Qt.ArrowCursor) elif self.clickmode == 'graphzoom': self.pixmapitem.unsetCursor() #self.label.setCursor(qt4.Qt.CrossCursor) elif self.clickmode == 'pick': self.pixmapitem.setCursor(qt4.Qt.CrossCursor) self.sigPickerEnabled.emit(True) def getClick(self): """Return a click point from the graph.""" # wait for click from user qt4.QApplication.setOverrideCursor(qt4.QCursor(qt4.Qt.CrossCursor)) oldmode = self.clickmode self.clickmode = 'viewgetclick' while self.clickmode == 'viewgetclick': qt4.qApp.processEvents() self.clickmode = oldmode qt4.QApplication.restoreOverrideCursor() # take clicked point and convert to coords of scrollview pt = self.grabpos # try to work out in which widget the first point is in widget = self.painthelper.pointInWidgetBounds( pt.x(), pt.y(), widgets.Graph) if widget is None: return [] # convert points on plotter to points on axis for each axis xpts = N.array( [pt.x()] ) ypts = N.array( [pt.y()] ) axesretn = [] # iterate over children, to look for plotters for c in [i for i in widget.children if isinstance(i, widgets.GenericPlotter)]: # get axes associated with plotter axes = c.parent.getAxes( (c.settings.xAxis, c.settings.yAxis) ) # iterate over each, and update the ranges for axis in [a for a in axes if a is not None]: s = axis.settings if s.direction == 'horizontal': p = xpts else: p = ypts # convert point on plotter to axis coordinate # FIXME: Need To Trap Conversion Errors! r = axis.plotterToGraphCoords( self.painthelper.widgetBounds(axis), p) axesretn.append( (axis.path, r[0]) ) return axesretn def selectedWidgets(self, widgets): """Update control items on screen associated with widget. Called when widgets have been selected in the tree edit window """ self.updateControlGraphs(widgets) self.lastwidgetsselected = widgets def updateControlGraphs(self, widgets): """Add control graphs for the widgets given.""" cgg = self.controlgraphgroup # delete old items for c in cgg.childItems(): cgg.removeFromGroup(c) self.scene.removeItem(c) # add each item to the group if self.painthelper: for widget in widgets: cgis = self.painthelper.getControlGraph(widget) if cgis: for control in cgis: graphitem = control.createGraphicsItem() cgg.addToGroup(graphitem) class FullScreenPlotWindow(qt4.QScrollArea): """Window for showing plot in full-screen mode.""" def __init__(self, document, pagenumber): qt4.QScrollArea.__init__(self) self.setFrameShape(qt4.QFrame.NoFrame) self.setWidgetResizable(True) # window which shows plot self.document = document pw = self.plotwin = PlotWindow(document, None) pw.isfullscreen = True pw.pagenumber = pagenumber self.setWidget(pw) pw.setFocus() self.showFullScreen() self.toolbar = qt4.QToolBar(_("Full screen toolbar"), self) self.toolbar.addAction(utils.getIcon("kde-window-close"), _("Close"), self.close) for a in ('view.zoom11', 'view.zoomin', 'view.zoomout', 'view.zoomwidth', 'view.zoomheight', 'view.zoompage', 'view.prevpage', 'view.nextpage'): self.toolbar.addAction( pw.vzactions[a] ) self.toolbar.show() def resizeEvent(self, event): """Make zoom fit screen.""" qt4.QScrollArea.resizeEvent(self, event) # size graph to fill screen pagesize = self.document.pageSize(self.plotwin.pagenumber, dpi=self.plotwin.dpi) screensize = self.plotwin.size() aspectw = screensize.width() / pagesize[0] aspecth = screensize.height() / pagesize[1] self.plotwin.zoomfactor = min(aspectw, aspecth) self.plotwin.checkPlotUpdate() def keyPressEvent(self, event): k = event.key() if k == qt4.Qt.Key_Escape: event.accept() self.close() return qt4.QScrollArea.keyPressEvent(self, event) veusz-1.21.1/veusz/windows/widgettree.py0000644000175000017500000002675112327177747016547 0ustar jssjss# Copyright (C) 2010 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### """Contains a model and view for handling a tree of widgets.""" from __future__ import division from .. import qtall as qt4 from .. import utils from .. import document def _(text, disambiguation=None, context="WidgetTree"): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class WidgetTreeModel(qt4.QAbstractItemModel): """A model representing the widget tree structure. """ def __init__(self, document, parent=None): """Initialise using document.""" qt4.QAbstractItemModel.__init__(self, parent) self.document = document document.signalModified.connect(self.slotDocumentModified) self.document.sigWiped.connect(self.slotDocumentModified) # suspend signals to the view that the model has changed self.suspendmodified = False def slotDocumentModified(self): """The document has been changed.""" if not self.suspendmodified: # needs to be suspended within insert/delete row operations self.layoutChanged.emit() def columnCount(self, parent): """Return number of columns of data.""" return 2 def data(self, index, role): """Return data for the index given.""" # why do we get passed invalid indicies? :-) if not index.isValid(): return None column = index.column() obj = index.internalPointer() if role in (qt4.Qt.DisplayRole, qt4.Qt.EditRole): # return text for columns if column == 0: return obj.name elif column == 1: return obj.typename elif role == qt4.Qt.DecorationRole: # return icon for first column if column == 0: filename = 'button_%s' % obj.typename return utils.getIcon(filename) elif role == qt4.Qt.ToolTipRole: # provide tool tip showing description if obj.userdescription: return obj.userdescription elif role == qt4.Qt.TextColorRole: # show disabled looking text if object or any parent is hidden hidden = False p = obj while p is not None: if 'hide' in p.settings and p.settings.hide: hidden = True break p = p.parent # return brush for hidden widget text, based on disabled text if hidden: return qt4.QPalette().brush(qt4.QPalette.Disabled, qt4.QPalette.Text) # return nothing return None def setData(self, index, name, role): """User renames object. This renames the widget.""" widget = index.internalPointer() # check symbols in name if not utils.validateWidgetName(name): return False # check name not already used if widget.parent.hasChild(name): return False # actually rename the widget self.document.applyOperation( document.OperationWidgetRename(widget, name)) self.dataChanged.emit(index, index) return True def flags(self, index): """What we can do with the item.""" if not index.isValid(): return qt4.Qt.ItemIsEnabled flags = ( qt4.Qt.ItemIsEnabled | qt4.Qt.ItemIsSelectable | qt4.Qt.ItemIsDropEnabled ) if ( index.internalPointer() is not self.document.basewidget and index.column() == 0 ): # allow items other than root to be edited and dragged flags |= qt4.Qt.ItemIsEditable | qt4.Qt.ItemIsDragEnabled return flags def headerData(self, section, orientation, role): """Return the header of the tree.""" if orientation == qt4.Qt.Horizontal and role == qt4.Qt.DisplayRole: val = ('Name', 'Type')[section] return val return None def index(self, row, column, parent): """Construct an index for a child of parent.""" if parent.isValid(): # normal widget try: child = parent.internalPointer().children[row] except IndexError: return qt4.QModelIndex() else: # root widget child = self.document.basewidget return self.createIndex(row, column, child) def getWidgetIndex(self, widget): """Returns index for widget specified.""" return self.createIndex(widget.widgetSiblingIndex(), 0, widget) def parent(self, index): """Find the parent of the index given.""" parentobj = index.internalPointer().parent if parentobj is None: return qt4.QModelIndex() else: try: return self.createIndex(parentobj.widgetSiblingIndex(), 0, parentobj) except ValueError: return qt4.QModelIndex() def rowCount(self, index): """Return number of rows of children of index.""" if index.isValid(): return len(index.internalPointer().children) else: # always 1 root node return 1 def getSettings(self, index): """Return the settings for the index selected.""" obj = index.internalPointer() return obj.settings def getWidget(self, index): """Get associated widget for index selected.""" return index.internalPointer() def removeRows(self, row, count, parentindex): """Remove widgets from parent.""" if not parentindex.isValid(): return parent = self.getWidget(parentindex) self.suspendmodified = True self.beginRemoveRows(parentindex, row, row+count-1) # construct an operation for deleting the rows deleteops = [] for w in parent.children[row:row+count]: deleteops.append( document.OperationWidgetDelete(w) ) op = document.OperationMultiple(deleteops, descr=_("remove widget(s)")) self.document.applyOperation(op) self.endRemoveRows() self.suspendmodified = False return True def supportedDropActions(self): """Supported drag and drop actions.""" return qt4.Qt.MoveAction | qt4.Qt.CopyAction def mimeData(self, indexes): """Get mime data for indexes.""" widgets = [idx.internalPointer() for idx in indexes] return document.generateWidgetsMime(widgets) def mimeTypes(self): """Accepted mime types.""" return [document.widgetmime] def dropMimeData(self, mimedata, action, row, column, parentindex): """User drags and drops widget.""" if action == qt4.Qt.IgnoreAction: return True data = document.getWidgetMime(mimedata) if data is None: return False if parentindex.isValid(): parent = self.getWidget(parentindex) else: parent = self.document.basewidget # check parent supports child if not document.isMimeDropable(parent, data): return False # work out where row will be pasted startrow = row if row == -1: startrow = len(parent.children) # need to tell qt that these rows are being inserted, so that the # right number of rows are removed afterwards self.suspendmodified = True self.beginInsertRows(parentindex, startrow, startrow+document.getMimeWidgetCount(data)-1) op = document.OperationWidgetPaste(parent, data, index=startrow) self.document.applyOperation(op) self.endInsertRows() self.suspendmodified = False return True class WidgetTreeView(qt4.QTreeView): """A model view for viewing the widgets.""" def __init__(self, model, *args): qt4.QTreeView.__init__(self, *args) self.setModel(model) self.expandAll() # stretch header hdr = self.header() hdr.setStretchLastSection(False) hdr.setResizeMode(0, qt4.QHeaderView.Stretch) hdr.setResizeMode(1, qt4.QHeaderView.Custom) # setup drag and drop self.setSelectionMode(qt4.QAbstractItemView.ExtendedSelection) self.setDragEnabled(True) self.viewport().setAcceptDrops(True) self.setDropIndicatorShown(True) def testModifier(self, e): """Look for keyboard modifier for copy or move.""" if e.keyboardModifiers() & qt4.Qt.ControlModifier: e.setDropAction(qt4.Qt.CopyAction) else: e.setDropAction(qt4.Qt.MoveAction) def handleInternalMove(self, event): """Handle a move inside treeview.""" # make sure qt doesn't handle this event.setDropAction(qt4.Qt.IgnoreAction) event.ignore() if not self.viewport().rect().contains(event.pos()): return # get widget at event position index = self.indexAt(event.pos()) if not index.isValid(): index = self.rootIndex() # adjust according to drop indicator position row = -1 posn = self.dropIndicatorPosition() if posn == qt4.QAbstractItemView.AboveItem: row = index.row() index = index.parent() elif posn == qt4.QAbstractItemView.BelowItem: row = index.row() + 1 index = index.parent() if index.isValid(): parent = self.model().getWidget(index) data = document.getWidgetMime(event.mimeData()) if document.isMimeDropable(parent, data): # move the widget! parentpath = parent.path widgetpaths = document.getMimeWidgetPaths(data) ops = [] r = row for path in widgetpaths: ops.append( document.OperationWidgetMove(path, parentpath, r) ) if r >= 0: r += 1 self.model().document.applyOperation( document.OperationMultiple(ops, descr='move')) event.ignore() def dropEvent(self, e): """When an object is dropped on the view.""" self.testModifier(e) if e.source() is self and e.dropAction() == qt4.Qt.MoveAction: self.handleInternalMove(e) qt4.QTreeView.dropEvent(self, e) def dragMoveEvent(self, e): """Make items move by default and copy if Ctrl is held down.""" self.testModifier(e) qt4.QTreeView.dragMoveEvent(self, e) veusz-1.21.1/veusz/windows/consolewindow.py0000644000175000017500000002571212327177747017272 0ustar jssjss# consolewindow.py # a python-like qt console # Copyright (C) 2003 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## from __future__ import division import codeop import traceback import sys from ..compat import cstr from .. import qtall as qt4 from .. import document from .. import utils from .. import setting # TODO - command line completion def _(text, disambiguation=None, context='ConsoleWindow'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class _Writer(object): """ Class to behave like an output stream. Pipes input back to the specified function.""" def __init__(self, function): """ Set the function output is sent to.""" self.function = function def write(self, text): """ Send text to the output function.""" self.function(text) def flush(self): """ Does nothing as yet.""" pass class _CommandEdit(qt4.QLineEdit): """ A special class to allow entering of the command line. emits sigEnter if the return key is pressed, and returns command The edit control has a history (press up and down keys to access) """ sigEnter = qt4.pyqtSignal(cstr) def __init__(self, *args): qt4.QLineEdit.__init__(self, *args) self.history = [] self.history_posn = 0 self.entered_text = '' self.returnPressed.connect(self.slotReturnPressed) self.setToolTip(_("Input a python expression here and press enter")) def slotReturnPressed(self): """ Called if the return key is pressed in the edit control.""" # retrieve the text command = self.text() self.setText("") # keep the command for history self.history.append( command ) self.history_posn = len(self.history) self.entered_text = '' # tell the console we have a command self.sigEnter.emit(command) historykeys = (qt4.Qt.Key_Up, qt4.Qt.Key_Down) def keyPressEvent(self, key): """ Overridden to handle history. """ qt4.QLineEdit.keyPressEvent(self, key) code = key.key() # check whether one of the "history keys" has been pressed if code in _CommandEdit.historykeys: # look for the next or previous history item which our current text # is a prefix of if self.isModified(): text = self.text() self.history_posn = len(self.history) else: text = self.entered_text if code == qt4.Qt.Key_Up: step = -1 elif code == qt4.Qt.Key_Down: step = 1 newpos = self.history_posn + step while True: if newpos >= len(self.history): break if newpos < 0: return if self.history[newpos].startswith(text): break newpos += step if newpos >= len(self.history): # go back to whatever the user had typed in self.history_posn = len(self.history) self.setText(self.entered_text) return # found a relevant history item self.history_posn = newpos # user has modified text since last set if self.isModified(): self.entered_text = text # replace the text in the control text = self.history[ self.history_posn ] self.setText(text) introtext=_(u'''Welcome to Veusz %s --- a scientific plotting application.
    Copyright \u00a9 2003-2014 Jeremy Sanders <jeremy@jeremysanders.net> and contributors.
    Veusz comes with ABSOLUTELY NO WARRANTY. Veusz is Free Software, and you are
    welcome to redistribute it under certain conditions. Enter "GPL()" for details.
    This window is a Python command line console and acts as a calculator.
    ''') % utils.version() class ConsoleWindow(qt4.QDockWidget): """ A python-like qt console.""" def __init__(self, thedocument, *args): qt4.QDockWidget.__init__(self, *args) self.setWindowTitle(_("Console - Veusz")) self.setObjectName("veuszconsolewindow") # arrange sub-widgets in a vbox self.vbox = qt4.QWidget() self.setWidget(self.vbox) vlayout = qt4.QVBoxLayout(self.vbox) vlayout.setMargin( vlayout.margin()//4 ) vlayout.setSpacing( vlayout.spacing()//4 ) # start an interpreter instance to the document self.interpreter = document.CommandInterpreter(thedocument) self.document = thedocument # output from the interpreter goes to self.output_stdxxx self.con_stdout = _Writer(self.output_stdout) self.con_stderr = _Writer(self.output_stderr) self.interpreter.setOutputs(self.con_stdout, self.con_stderr) self.stdoutbuffer = "" self.stderrbuffer = "" # (mostly) hidden notification self._hiddennotify = qt4.QLabel() vlayout.addWidget(self._hiddennotify) self._hiddennotify.hide() # the output from the console goes here self._outputdisplay = qt4.QTextEdit() self._outputdisplay.setReadOnly(True) self._outputdisplay.insertHtml( introtext ) vlayout.addWidget(self._outputdisplay) self._hbox = qt4.QWidget() hlayout = qt4.QHBoxLayout(self._hbox) hlayout.setMargin(0) vlayout.addWidget(self._hbox) self._prompt = qt4.QLabel(">>>") hlayout.addWidget(self._prompt) # where commands are typed in self._inputedit = _CommandEdit() hlayout.addWidget(self._inputedit) self._inputedit.setFocus() # keep track of multiple line commands self.command_build = '' # get called if enter is pressed in the input control self._inputedit.sigEnter.connect(self.slotEnter) # called if document logs something thedocument.sigLog.connect(self.slotDocumentLog) def _makeTextFormat(self, cursor, color): fmt = cursor.charFormat() if color is not None: brush = qt4.QBrush(color) fmt.setForeground(brush) else: # use the default foreground color fmt.clearForeground() return fmt def appendOutput(self, text, style): """Add text to the tail of the error log, with a specified style""" if style == 'error': color = setting.settingdb.color('error') elif style == 'command': color = setting.settingdb.color('command') else: color = None cursor = self._outputdisplay.textCursor() cursor.movePosition(qt4.QTextCursor.End) cursor.insertText(text, self._makeTextFormat(cursor, color)) self._outputdisplay.setTextCursor(cursor) self._outputdisplay.ensureCursorVisible() def runFunction(self, func): """Execute the function within the console window, trapping exceptions.""" # preserve output streams temp_stdout = sys.stdout temp_stderr = sys.stderr sys.stdout = _Writer(self.output_stdout) sys.stderr = _Writer(self.output_stderr) # catch any exceptions, printing problems to stderr self.document.suspendUpdates() try: func() except: # print out the backtrace to stderr i = sys.exc_info() backtrace = traceback.format_exception( *i ) for l in backtrace: sys.stderr.write(l) self.document.enableUpdates() # return output streams sys.stdout = temp_stdout sys.stderr = temp_stderr def checkVisible(self): """If this window is hidden, show it, then hide it again in a few seconds.""" if self.isHidden(): self._hiddennotify.setText(_("This window will shortly disappear. " "You can bring it back by selecting " "View, Windows, Console Window on the " "menu.")) qt4.QTimer.singleShot(5000, self.hideConsole) self.show() self._hiddennotify.show() def hideConsole(self): """Hide window and notification widget.""" self._hiddennotify.hide() self.hide() def output_stdout(self, text): """ Write text in stdout font to the log.""" self.checkVisible() self.appendOutput(text, 'normal') def output_stderr(self, text): """ Write text in stderr font to the log.""" self.checkVisible() self.appendOutput(text, 'error') def insertTextInOutput(self, text): """ Inserts the text into the log.""" self.appendOutput(text, 'normal') def slotEnter(self, command): """ Called if the return key is pressed in the edit control.""" newc = self.command_build + '\n' + command # check whether command can be compiled # c set to None if incomplete try: c = codeop.compile_command(newc) except Exception: # we want errors to be caught by self.interpreter.run below c = 1 # which prompt? prompt = '>>>' if self.command_build != '': prompt = '...' # output the command in the log pane self.appendOutput('%s %s\n' % (prompt, command), 'command') # are we ready to run this? if c is None or (len(command) != 0 and len(self.command_build) != 0 and (command[0] == ' ' or command[0] == '\t')): # build up the expression self.command_build = newc # modify the prompt self._prompt.setText( '...' ) else: # actually execute the command self.interpreter.run(newc) self.command_build = '' # modify the prompt self._prompt.setText( '>>>' ) def slotDocumentLog(self, text): """Output information if the document logs something.""" self.output_stderr(text + '\n') veusz-1.21.1/veusz/windows/datanavigator.py0000664000175000017500000000311112237406466017204 0ustar jssjss# -*- coding: utf-8 -*- # Copyright (C) 2011 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### from __future__ import division from .. import qtall as qt4 from ..qtwidgets.datasetbrowser import DatasetBrowser def _(text, disambiguation=None, context="DataNavigator"): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class DataNavigatorWindow(qt4.QDockWidget): """A dock window containing a dataset browsing widget.""" def __init__(self, thedocument, mainwin, *args): qt4.QDockWidget.__init__(self, *args) self.setWindowTitle(_("Data - Veusz")) self.setObjectName("veuszdatawindow") self.nav = DatasetBrowser(thedocument, mainwin, self) self.setWidget(self.nav) veusz-1.21.1/veusz/windows/treeeditwindow.py0000664000175000017500000014303112376130006017407 0ustar jssjss# -*- coding: utf-8 -*- # Copyright (C) 2004 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### """Window to edit the document using a tree, widget properties and formatting properties.""" from __future__ import division from ..compat import crange, citems from .. import qtall as qt4 from .. import widgets from .. import utils from .. import document from .. import setting from .widgettree import WidgetTreeModel, WidgetTreeView def _(text, disambiguation=None, context='TreeEditWindow'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class SettingsProxy(object): """Object to handle communication between widget/settings or sets of widgets/settings.""" def childProxyList(self): """Return a list settings and setting variables proxified.""" def settingsProxyList(self): """Return list of SettingsProxy objects for sub Settings.""" def settingList(self): """Return list of Setting objects.""" def actionsList(self): """Return list of Action objects.""" def onSettingChanged(self, control, setting, val): """Called when a setting has been modified.""" def onAction(self, action, console): """Called if action pressed. Console window is given.""" def name(self): """Return name of Settings.""" def pixmap(self): """Return pixmap for Settings.""" def usertext(self): """Return text for user.""" def setnsmode(self): """Return setnsmode of Settings.""" def multivalued(self, name): """Is setting with name multivalued?""" return False def resetToDefault(self, name): """Reset setting to default.""" class SettingsProxySingle(SettingsProxy): """A proxy wrapping settings for a single widget.""" def __init__(self, document, settings, actions=None): """Initialise settings proxy. settings is the widget settings, actions is its actions.""" self.document = document self.settings = settings self.actions = actions def childProxyList(self): """Return a list settings and setting variables proxified.""" retn = [] s = self.settings for n in s.getNames(): o = s.get(n) if isinstance(o, setting.Settings): retn.append( SettingsProxySingle(self.document, o) ) else: retn.append(o) return retn def settingsProxyList(self): """Return list of SettingsProxy objects.""" return [ SettingsProxySingle(self.document, s) for s in self.settings.getSettingsList() ] def settingList(self): """Return list of Setting objects.""" return self.settings.getSettingList() def actionsList(self): """Return list of actions.""" return self.actions def onSettingChanged(self, control, setting, val): """Change setting in document.""" if setting.val != val: self.document.applyOperation( document.OperationSettingSet(setting, val)) def onAction(self, action, console): """Run action on console.""" console.runFunction(action.function) def name(self): """Return name.""" return self.settings.name def pixmap(self): """Return pixmap.""" return self.settings.pixmap def usertext(self): """Return text for user.""" return self.settings.usertext def setnsmode(self): """Return setnsmode of Settings.""" return self.settings.setnsmode def resetToDefault(self, name): """Reset setting to default.""" setn = self.settings.get(name) self.document.applyOperation( document.OperationSettingSet(setn, setn.default)) class SettingsProxyMulti(SettingsProxy): """A proxy wrapping settings for multiple widgets.""" def __init__(self, document, widgets, _root=''): """Initialise settings proxy. widgets is a list of widgets to proxy for.""" self.document = document self.widgets = widgets self._root = _root self._settingsatlevel = self._getSettingsAtLevel() self._cachesettings = self._cachesetting = self._cachechild = None def _getSettingsAtLevel(self): """Return settings of widgets at level given.""" if self._root: levels = self._root.split('/') else: levels = [] setns = [] for w in self.widgets: s = w.settings for lev in levels: s = s.get(lev) setns.append(s) return setns def _objList(self, filterclasses): """Return a list of objects with the type in filterclasses.""" setns = self._settingsatlevel # get list of names with appropriate class names = [] for n in setns[0].getNames(): o = setns[0].get(n) for c in filterclasses: if isinstance(o, c): names.append(n) break sset = set(names) for s in setns[1:]: sset &= set(s.getNames()) names = [n for n in names if n in sset] proxylist = [] for n in names: o = setns[0].get(n) if isinstance(o, setting.Settings): # construct new proxy settings (adding on name of root) newroot = n if self._root: newroot = self._root + '/' + newroot v = SettingsProxyMulti(self.document, self.widgets, _root=newroot) else: # use setting from first settings as template v = o proxylist.append(v) return proxylist def childProxyList(self): """Make a list of proxy settings.""" if self._cachechild is None: self._cachechild = self._objList( (setting.Settings, setting.Setting) ) return self._cachechild def settingsProxyList(self): """Get list of settings proxy.""" if self._cachesettings is None: self._cachesettings = self._objList( (setting.Settings,) ) return self._cachesettings def settingList(self): """Set list of common Setting objects for each widget.""" if self._cachesetting is None: self._cachesetting = self._objList( (setting.Setting,) ) return self._cachesetting def actionsList(self): """Get list of common actions.""" anames = None for widget in self.widgets: a = set([a.name for a in widget.actions]) if anames is None: anames = a else: anames &= a actions = [a for a in self.widgets[0].actions if a.name in anames] return actions def onSettingChanged(self, control, setting, val): """Change setting in document.""" # construct list of operations to change each setting ops = [] sname = setting.name if self._root: sname = self._root + '/' + sname for w in self.widgets: s = self.document.resolveFullSettingPath(w.path + '/' + sname) if s.val != val: ops.append(document.OperationSettingSet(s, val)) # apply all operations if ops: self.document.applyOperation( document.OperationMultiple(ops, descr=_('change settings'))) def onAction(self, action, console): """Run actions with same name.""" aname = action.name for w in self.widgets: for a in w.actions: if a.name == aname: console.runFunction(a.function) def name(self): return self._settingsatlevel[0].name def pixmap(self): """Return pixmap.""" return self._settingsatlevel[0].pixmap def usertext(self): """Return text for user.""" return self._settingsatlevel[0].usertext def setnsmode(self): """Return setnsmode.""" return self._settingsatlevel[0].setnsmode def multivalued(self, name): """Is setting multivalued?""" slist = [s.get(name) for s in self._settingsatlevel] first = slist[0].get() for s in slist[1:]: if s.get() != first: return True return False def resetToDefault(self, name): """Reset settings to default.""" ops = [] for s in self._settingsatlevel: setn = s.get(name) ops.append(document.OperationSettingSet(setn, setn.default)) self.document.applyOperation( document.OperationMultiple(ops, descr=_("reset to default"))) class PropertyList(qt4.QWidget): """Edit the widget properties using a set of controls.""" def __init__(self, document, showformatsettings=True, *args): qt4.QWidget.__init__(self, *args) self.document = document self.showformatsettings = showformatsettings self.layout = qt4.QGridLayout(self) self.layout.setSpacing( self.layout.spacing()//2 ) self.layout.setMargin(4) self.childlist = [] self.setncntrls = {} # map setting name to controls def getConsole(self): """Find console window. This is horrible: HACK.""" win = self.parent() while not hasattr(win, 'console'): win = win.parent() return win.console def _addActions(self, setnsproxy, row): """Add a list of actions.""" for action in setnsproxy.actionsList(): text = action.name if action.usertext: text = action.usertext lab = qt4.QLabel(text) self.layout.addWidget(lab, row, 0) self.childlist.append(lab) button = qt4.QPushButton(text) button.setToolTip(action.descr) button.clicked[()].connect( lambda a=action: setnsproxy.onAction(a, self.getConsole())) self.layout.addWidget(button, row, 1) self.childlist.append(button) row += 1 return row def _addControl(self, setnsproxy, setn, row): """Add a control for a setting.""" cntrl = setn.makeControl(None) if cntrl: lab = SettingLabel(self.document, setn, setnsproxy) self.layout.addWidget(lab, row, 0) self.childlist.append(lab) cntrl.sigSettingChanged.connect(setnsproxy.onSettingChanged) self.layout.addWidget(cntrl, row, 1) self.childlist.append(cntrl) self.setncntrls[setn.name] = (lab, cntrl) row += 1 return row def _addGroupedSettingsControl(self, grpdsetting, row): """Add a control for a set of grouped settings.""" slist = grpdsetting.settingList() # make first widget with expandable button # this is a label with a + button by this side setnlab = SettingLabel(self.document, slist[0], grpdsetting) expandbutton = qt4.QPushButton("+", checkable=True, flat=True, maximumWidth=16) l = qt4.QHBoxLayout(spacing=0) l.setContentsMargins(0,0,0,0) l.addWidget( expandbutton ) l.addWidget( setnlab ) lw = qt4.QWidget() lw.setLayout(l) self.layout.addWidget(lw, row, 0) self.childlist.append(lw) # make main control cntrl = slist[0].makeControl(None) cntrl.sigSettingChanged.connect(grpdsetting.onSettingChanged) self.layout.addWidget(cntrl, row, 1) self.childlist.append(cntrl) row += 1 # set of controls for remaining settings l = qt4.QGridLayout() grp_row = 0 for setn in slist[1:]: cntrl = setn.makeControl(None) if cntrl: lab = SettingLabel(self.document, setn, grpdsetting) l.addWidget(lab, grp_row, 0) cntrl.sigSettingChanged.connect(grpdsetting.onSettingChanged) l.addWidget(cntrl, grp_row, 1) grp_row += 1 grpwidget = qt4.QFrame( frameShape = qt4.QFrame.Panel, frameShadow = qt4.QFrame.Raised, visible=False ) grpwidget.setLayout(l) def ontoggle(checked): """Toggle button text and make grp visible/invisible.""" expandbutton.setText( ("+","-")[checked] ) grpwidget.setVisible( checked ) expandbutton.toggled.connect(ontoggle) # add group to standard layout self.layout.addWidget(grpwidget, row, 0, 1, -1) self.childlist.append(grpwidget) row += 1 return row def updateProperties(self, setnsproxy, title=None, showformatting=True, onlyformatting=False): """Update the list of controls with new ones for the SettingsProxy.""" # keep a reference to keep it alive self._setnsproxy = setnsproxy # delete all child widgets self.setUpdatesEnabled(False) while len(self.childlist) > 0: c = self.childlist.pop() self.layout.removeWidget(c) c.deleteLater() del c if setnsproxy is None: self.setUpdatesEnabled(True) return row = 0 self.setncntrls = {} self.layout.setEnabled(False) # add a title if requested if title is not None: lab = qt4.QLabel(title[0], frameShape=qt4.QFrame.Panel, frameShadow=qt4.QFrame.Sunken, toolTip=title[1]) self.layout.addWidget(lab, row, 0, 1, -1) row += 1 # add actions if parent is widget if setnsproxy.actionsList() and not showformatting: row = self._addActions(setnsproxy, row) if setnsproxy.settingsProxyList() and self.showformatsettings: # if we have subsettings, use tabs tabbed = TabbedFormatting(self.document, setnsproxy) self.layout.addWidget(tabbed, row, 1, 1, 2) row += 1 self.childlist.append(tabbed) else: # else add settings proper as a list for setn in setnsproxy.childProxyList(): # add setting # only add if formatting setting and formatting allowed # and not formatting and not formatting not allowed if ( isinstance(setn, setting.Setting) and ( (setn.formatting and (showformatting or onlyformatting)) or (not setn.formatting and not onlyformatting)) and not setn.hidden ): row = self._addControl(setnsproxy, setn, row) elif ( isinstance(setn, SettingsProxy) and setn.setnsmode() == 'groupedsetting' and not onlyformatting ): row = self._addGroupedSettingsControl(setn, row) # add empty widget to take rest of space w = qt4.QWidget( sizePolicy=qt4.QSizePolicy( qt4.QSizePolicy.Maximum, qt4.QSizePolicy.MinimumExpanding) ) self.layout.addWidget(w, row, 0) self.childlist.append(w) self.setUpdatesEnabled(True) self.layout.setEnabled(True) def showHideSettings(self, setnshow, setnhide): """Show or hide controls for settings.""" for vis, setns in ( (True, setnshow), (False, setnhide) ): for setn in setns: if setn in self.setncntrls: for cntrl in self.setncntrls[setn]: cntrl.setVisible(vis) class TabbedFormatting(qt4.QTabWidget): """Class to have tabbed set of settings.""" def __init__(self, document, setnsproxy, shownames=False): qt4.QTabWidget.__init__(self) self.document = document if setnsproxy is None: return # get list of settings self.setnsproxy = setnsproxy setnslist = setnsproxy.settingsProxyList() # add formatting settings if necessary numformat = len( [setn for setn in setnsproxy.settingList() if setn.formatting] ) if numformat > 0: # add on a formatting tab setnslist.insert(0, setnsproxy) self.currentChanged.connect(self.slotCurrentChanged) # subsettings for tabs self.tabsubsetns = [] # collected titles and tooltips for tabs self.tabtitles = [] self.tabtooltips = [] # tabs which have been initialized self.tabinit = set() # add tab for each subsettings for subset in setnslist: if subset.setnsmode() not in ('formatting', 'widgetsettings'): continue self.tabsubsetns.append(subset) # details of tab if subset is setnsproxy: # main tab formatting, so this is special pixmap = 'settings_main' tabname = title = _('Main') tooltip = _('Main formatting') else: # others if hasattr(subset, 'pixmap'): pixmap = subset.pixmap() else: pixmap = None tabname = subset.name() tooltip = title = subset.usertext() # hide name in tab if not shownames: tabname = '' self.tabtitles.append(title) self.tabtooltips.append(tooltip) # create tab indx = self.addTab(qt4.QWidget(), utils.getIcon(pixmap), tabname) self.setTabToolTip(indx, tooltip) def slotCurrentChanged(self, tab): """Lazy loading of tab when displayed.""" if tab in self.tabinit: # already initialized return self.tabinit.add(tab) # settings to show subsetn = self.tabsubsetns[tab] # whether these are the main settings mainsettings = subsetn is self.setnsproxy # add this property list to the scroll widget for tab plist = PropertyList(self.document, showformatsettings=not mainsettings) plist.updateProperties(subsetn, title=(self.tabtitles[tab], self.tabtooltips[tab]), onlyformatting=mainsettings) # create scrollable area scroll = qt4.QScrollArea() scroll.setWidgetResizable(True) scroll.setWidget(plist) # layout for tab widget layout = qt4.QVBoxLayout() layout.setMargin(2) layout.addWidget(scroll) # finally use layout containing items for tab self.widget(tab).setLayout(layout) class FormatDock(qt4.QDockWidget): """A window for formatting the current widget. Provides tabbed formatting properties """ def __init__(self, document, treeedit, *args): qt4.QDockWidget.__init__(self, *args) self.setWindowTitle(_("Formatting - Veusz")) self.setObjectName("veuszformattingdock") self.document = document self.tabwidget = None # update our view when the tree edit window selection changes treeedit.widgetsSelected.connect(self.selectedWidgets) def selectedWidgets(self, widgets, setnsproxy): """Created tabbed widgets for formatting for each subsettings.""" # get current tab (so we can set it afterwards) if self.tabwidget: tab = self.tabwidget.currentIndex() else: tab = 0 # delete old tabwidget if self.tabwidget: self.tabwidget.deleteLater() self.tabwidget = None self.tabwidget = TabbedFormatting(self.document, setnsproxy) self.setWidget(self.tabwidget) # wrap tab from zero to max number tab = max( min(self.tabwidget.count()-1, tab), 0 ) self.tabwidget.setCurrentIndex(tab) class PropertiesDock(qt4.QDockWidget): """A window for editing properties for widgets.""" def __init__(self, document, treeedit, *args): qt4.QDockWidget.__init__(self, *args) self.setWindowTitle(_("Properties - Veusz")) self.setObjectName("veuszpropertiesdock") self.document = document # update our view when the tree edit window selection changes treeedit.widgetsSelected.connect(self.slotWidgetsSelected) # construct scrollable area self.scroll = qt4.QScrollArea() self.scroll.setWidgetResizable(True) self.setWidget(self.scroll) # construct properties list in scrollable area self.proplist = PropertyList(document, showformatsettings=False) self.scroll.setWidget(self.proplist) def slotWidgetsSelected(self, widgets, setnsproxy): """Update properties when selected widgets change.""" self.proplist.updateProperties(setnsproxy, showformatting=False) class TreeEditDock(qt4.QDockWidget): """A dock window presenting widgets as a tree.""" widgetsSelected = qt4.pyqtSignal(list, object) sigPageChanged = qt4.pyqtSignal(int) def __init__(self, document, parentwin): """Initialise dock given document and parent widget.""" qt4.QDockWidget.__init__(self, parentwin) self.parentwin = parentwin self.setWindowTitle(_("Editing - Veusz")) self.setObjectName("veuszeditingwindow") self.selwidgets = [] self.document = document self.document.sigWiped.connect(self.slotDocumentWiped) # construct tree self.treemodel = WidgetTreeModel(document) self.treeview = WidgetTreeView(self.treemodel) # receive change in selection self.treeview.selectionModel().selectionChanged.connect( self.slotTreeItemsSelected) # set tree as main widget self.setWidget(self.treeview) # toolbar to create widgets self.addtoolbar = qt4.QToolBar(_("Insert toolbar - Veusz"), parentwin) # note wrong description!: backwards compatibility self.addtoolbar.setObjectName("veuszeditingtoolbar") # toolbar for editting widgets self.edittoolbar = qt4.QToolBar(_("Edit toolbar - Veusz"), parentwin) self.edittoolbar.setObjectName("veuszedittoolbar") self._constructToolbarMenu() parentwin.addToolBarBreak(qt4.Qt.TopToolBarArea) parentwin.addToolBar(qt4.Qt.TopToolBarArea, self.addtoolbar) parentwin.addToolBar(qt4.Qt.TopToolBarArea, self.edittoolbar) # this sets various things up self.selectWidget(document.basewidget) # update paste button when clipboard changes qt4.QApplication.clipboard().dataChanged.connect( self.updatePasteButton) self.updatePasteButton() def slotDocumentWiped(self): """If the document is wiped, reselect root widget.""" self.selectWidget(self.document.basewidget) def slotTreeItemsSelected(self, current, previous): """New item selected in tree. This updates the list of properties """ # get selected widgets self.selwidgets = swidget = [ self.treemodel.getWidget(idx) for idx in self.treeview.selectionModel().selectedRows() ] if len(swidget) == 0: setnsproxy = None elif len(swidget) == 1: setnsproxy = SettingsProxySingle(self.document, swidget[0].settings, actions=swidget[0].actions) else: setnsproxy = SettingsProxyMulti(self.document, swidget) self._enableCorrectButtons() self._checkPageChange() self.widgetsSelected.emit(swidget, setnsproxy) def contextMenuEvent(self, event): """Bring up context menu.""" # no widgets selected if not self.selwidgets: return m = qt4.QMenu(self) # selection m.addMenu(self.parentwin.menus['edit.select']) m.addSeparator() # actions on widget(s) for act in ('edit.cut', 'edit.copy', 'edit.paste', 'edit.moveup', 'edit.movedown', 'edit.delete', 'edit.rename'): m.addAction(self.vzactions[act]) # allow show or hides of selected widget anyhide = False anyshow = False for w in self.selwidgets: if 'hide' in w.settings: if w.settings.hide: anyshow = True else: anyhide = True for (enabled, menutext, showhide) in ( (anyhide, 'Hide', True), (anyshow, 'Show', False) ): if enabled: m.addSeparator() act = qt4.QAction(menutext, self) def trigfn(showorhide): return lambda: self.slotWidgetHideShow( self.selwidgets, showorhide) act.triggered.connect(trigfn(showhide)) m.addAction(act) m.exec_(self.mapToGlobal(event.pos())) event.accept() def _checkPageChange(self): """Check to see whether page has changed.""" w = None if self.selwidgets: w = self.selwidgets[0] while w is not None and not isinstance(w, widgets.Page): w = w.parent if w is not None: # have page, so check what number we are in basewidget children try: i = self.document.basewidget.children.index(w) self.sigPageChanged.emit(i) except ValueError: pass def _enableCorrectButtons(self): """Make sure the create graph buttons are correctly enabled.""" selw = None if self.selwidgets: selw = self.selwidgets[0] # has to be visible if is to be enabled (yuck) nonorth = self.vzactions['add.nonorthpoint'].setVisible(True) # check whether each button can have this widget # (or a parent) as parent for wc, action in citems(self.addslots): w = selw while w is not None and not wc.willAllowParent(w): w = w.parent self.vzactions['add.%s' % wc.typename].setEnabled(w is not None) self.vzactions['add.axismenu'].setEnabled( self.vzactions['add.axis'].isEnabled()) # exclusive widgets nonorth = self.vzactions['add.nonorthpoint'].isEnabled() self.vzactions['add.nonorthpoint'].setVisible(nonorth) self.vzactions['add.xy'].setVisible(not nonorth) self.vzactions['add.nonorthfunc'].setVisible(nonorth) self.vzactions['add.function'].setVisible(not nonorth) # certain actions shouldn't work on root isnotroot = not any([isinstance(w, widgets.Root) for w in self.selwidgets]) for act in ('edit.cut', 'edit.copy', 'edit.delete', 'edit.moveup', 'edit.movedown', 'edit.rename'): self.vzactions[act].setEnabled(isnotroot) self.updatePasteButton() def _constructToolbarMenu(self): """Add items to edit/add graph toolbar and menu.""" iconsize = setting.settingdb['toolbar_size'] self.addtoolbar.setIconSize( qt4.QSize(iconsize, iconsize) ) self.edittoolbar.setIconSize( qt4.QSize(iconsize, iconsize) ) self.addslots = {} self.vzactions = actions = self.parentwin.vzactions for widgettype in ('page', 'grid', 'graph', 'axis', 'axis-broken', 'axis-function', 'xy', 'bar', 'fit', 'function', 'boxplot', 'image', 'contour', 'vectorfield', 'key', 'label', 'colorbar', 'rect', 'ellipse', 'imagefile', 'line', 'polygon', 'polar', 'ternary', 'nonorthpoint', 'nonorthfunc'): wc = document.thefactory.getWidgetClass(widgettype) def slotfn(klass=wc): return lambda: self.slotMakeWidgetButton(klass) slot = slotfn(wc) self.addslots[wc] = slot actionname = 'add.' + widgettype actions[actionname] = utils.makeAction( self, wc.description, _('Add %s') % widgettype, slot, icon='button_%s' % widgettype) a = utils.makeAction actions.update({ 'edit.cut': a(self, _('Cut the selected widget'), _('Cu&t'), self.slotWidgetCut, icon='veusz-edit-cut', key='Ctrl+X'), 'edit.copy': a(self, _('Copy the selected widget'), _('&Copy'), self.slotWidgetCopy, icon='kde-edit-copy', key='Ctrl+C'), 'edit.paste': a(self, _('Paste widget from the clipboard'), _('&Paste'), self.slotWidgetPaste, icon='kde-edit-paste', key='Ctrl+V'), 'edit.moveup': a(self, _('Move the selected widget up'), _('Move &up'), lambda: self.slotWidgetMove(-1), icon='kde-go-up'), 'edit.movedown': a(self, _('Move the selected widget down'), _('Move d&own'), lambda: self.slotWidgetMove(1), icon='kde-go-down'), 'edit.delete': a(self, _('Remove the selected widget'), _('&Delete'), self.slotWidgetDelete, icon='kde-edit-delete'), 'edit.rename': a(self, _('Renames the selected widget'), _('&Rename'), self.slotWidgetRename, icon='kde-edit-rename'), 'add.shapemenu': a(self, _('Add a shape to the plot'), _('Shape'), self.slotShowShapeMenu, icon='veusz-shape-menu'), 'add.axismenu': a(self, _('Add an axis to the plot'), _('Axis'), None, icon='button_axis'), }) # list of widget-generating actions for menu and toolbar widgetactions = ( 'add.page', 'add.grid', 'add.graph', 'add.axismenu', 'add.xy', 'add.nonorthpoint', 'add.bar', 'add.fit', 'add.function', 'add.nonorthfunc', 'add.boxplot', 'add.image', 'add.contour', 'add.vectorfield', 'add.key', 'add.label', 'add.colorbar', 'add.polar', 'add.ternary', 'add.shapemenu', ) # separate menus for adding shapes and axis types shapemenu = qt4.QMenu() shapemenu.addActions( [actions[act] for act in ( 'add.rect', 'add.ellipse', 'add.line', 'add.imagefile', 'add.polygon', )]) actions['add.shapemenu'].setMenu(shapemenu) axismenu = qt4.QMenu() axismenu.addActions( [actions[act] for act in ( 'add.axis', 'add.axis-broken', 'add.axis-function', )]) actions['add.axismenu'].setMenu(axismenu) actions['add.axismenu'].triggered.connect(actions['add.axis'].trigger) menuitems = ( ('insert', '', widgetactions), ('edit', '', ( 'edit.cut', 'edit.copy', 'edit.paste', 'edit.moveup', 'edit.movedown', 'edit.delete', 'edit.rename' )), ) utils.constructMenus( self.parentwin.menuBar(), self.parentwin.menus, menuitems, actions ) # add actions to toolbar to create widgets utils.addToolbarActions(self.addtoolbar, actions, widgetactions) # add action to toolbar for editing utils.addToolbarActions(self.edittoolbar, actions, ('edit.cut', 'edit.copy', 'edit.paste', 'edit.moveup', 'edit.movedown', 'edit.delete', 'edit.rename')) self.parentwin.menus['edit.select'].aboutToShow.connect( self.updateSelectMenu) def slotMakeWidgetButton(self, wc): """User clicks button to make widget.""" self.makeWidget(wc.typename) def slotShowShapeMenu(self): a = self.vzactions['add.shapemenu'] a.menu().popup( qt4.QCursor.pos() ) def makeWidget(self, widgettype, autoadd=True, name=None): """Called when an add widget button is clicked. widgettype is the type of widget autoadd specifies whether to add default children if name is set this name is used if possible (ie no other children have it) """ # if no widget selected, bomb out if not self.selwidgets: return parent = document.getSuitableParent(widgettype, self.selwidgets[0]) assert parent is not None if name in parent.childnames: name = None # make the new widget and update the document w = self.document.applyOperation( document.OperationWidgetAdd(parent, widgettype, autoadd=autoadd, name=name) ) # select the widget self.selectWidget(w) def slotWidgetCut(self): """Cut the selected widget""" self.slotWidgetCopy() self.slotWidgetDelete() def slotWidgetCopy(self): """Copy selected widget to the clipboard.""" if self.selwidgets: mimedata = document.generateWidgetsMime(self.selwidgets) clipboard = qt4.QApplication.clipboard() clipboard.setMimeData(mimedata) def updatePasteButton(self): """Is the data on the clipboard a valid paste at the currently selected widget? If so, enable paste button""" data = document.getClipboardWidgetMime() if len(self.selwidgets) == 0: show = False else: show = document.isWidgetMimePastable(self.selwidgets[0], data) self.vzactions['edit.paste'].setEnabled(show) def doInitialWidgetSelect(self): """Select a sensible initial widget.""" w = self.document.basewidget for i in crange(2): try: c = w.children[0] except IndexError: break if c: w = c self.selectWidget(w) def slotWidgetPaste(self): """Paste something from the clipboard""" data = document.getClipboardWidgetMime() if data: op = document.OperationWidgetPaste(self.selwidgets[0], data) widgets = self.document.applyOperation(op) if widgets: self.selectWidget(widgets[0]) def slotWidgetDelete(self): """Delete the widget selected.""" widgets = self.selwidgets # if no item selected, leave if not widgets: return # get list of widgets in order widgetlist = [] self.document.basewidget.buildFlatWidgetList(widgetlist) # find indices of widgets to be deleted - find one to select after indexes = [widgetlist.index(w) for w in widgets] if -1 in indexes: raise RuntimeError("Invalid widget in list of selected widgets") minindex = min(indexes) # delete selected widget self.document.applyOperation( document.OperationWidgetsDelete(widgets)) # rebuild list widgetlist = [] self.document.basewidget.buildFlatWidgetList(widgetlist) # find next to select if minindex < len(widgetlist): nextwidget = widgetlist[minindex] else: nextwidget = widgetlist[-1] # select the next widget (we have to select root first!) self.selectWidget(self.document.basewidget) self.selectWidget(nextwidget) def slotWidgetRename(self): """Allows the user to rename the selected widget.""" selected = self.treeview.selectedIndexes() if len(selected) != 0: self.treeview.edit(selected[0]) def selectWidget(self, widget): """Select the associated listviewitem for the widget w in the listview.""" index = self.treemodel.getWidgetIndex(widget) if index is not None: self.treeview.scrollTo(index) self.treeview.selectionModel().select( index, qt4.QItemSelectionModel.Clear | qt4.QItemSelectionModel.Current | qt4.QItemSelectionModel.Rows | qt4.QItemSelectionModel.Select ) def slotWidgetMove(self, direction): """Move the selected widget up/down in the hierarchy. a is the action (unused) direction is -1 for 'up' and +1 for 'down' """ if not self.selwidgets: return # widget to move w = self.selwidgets[0] # actually move the widget self.document.applyOperation( document.OperationWidgetMoveUpDown(w, direction) ) # re-highlight moved widget self.selectWidget(w) def slotWidgetHideShow(self, widgets, hideshow): """Hide or show selected widgets. hideshow is True for hiding, False for showing """ ops = [ document.OperationSettingSet(w.settings.get('hide'), hideshow) for w in widgets ] descr = ('show', 'hide')[hideshow] self.document.applyOperation( document.OperationMultiple(ops, descr=descr)) def checkWidgetSelected(self): """Check widget is selected.""" if len(self.treeview.selectionModel().selectedRows()) == 0: self.selectWidget(self.document.basewidget) def _selectWidgetsTypeAndOrName(self, wtype, wname): """Select widgets with type or name given. Give None if you don't care for either.""" def selectwidget(path, w): """Select widget if of type or name given.""" if ( (wtype is None or w.typename == wtype) and (wname is None or w.name == wname) ): idx = self.treemodel.getWidgetIndex(w) self.treeview.selectionModel().select( idx, qt4.QItemSelectionModel.Select | qt4.QItemSelectionModel.Rows) self.document.walkNodes(selectwidget, nodetypes=('widget',)) def _selectWidgetSiblings(self, w, wtype): """Select siblings of widget given with type.""" if w.parent is None: return for c in w.parent.children: if c is not w and c.typename == wtype: idx = self.treemodel.getWidgetIndex(c) self.treeview.selectionModel().select( idx, qt4.QItemSelectionModel.Select | qt4.QItemSelectionModel.Rows) def updateSelectMenu(self): """Update edit.select menu.""" menu = self.parentwin.menus['edit.select'] menu.clear() if len(self.selwidgets) == 0: return wtype = self.selwidgets[0].typename name = self.selwidgets[0].name menu.addAction( _("All '%s' widgets") % wtype, lambda: self._selectWidgetsTypeAndOrName(wtype, None)) menu.addAction( _("Siblings of '%s' with type '%s'") % (name, wtype), lambda: self._selectWidgetSiblings(self.selwidgets[0], wtype)) menu.addAction( _("All '%s' widgets called '%s'") % (wtype, name), lambda: self._selectWidgetsTypeAndOrName(wtype, name)) menu.addAction( _("All widgets called '%s'") % name, lambda: self._selectWidgetsTypeAndOrName(None, name)) class SettingLabel(qt4.QWidget): """A label to describe a setting. This widget shows the name, a tooltip description, and gives access to the context menu """ # this is emitted when widget is clicked signalClicked = qt4.pyqtSignal(qt4.QPoint) def __init__(self, document, setting, setnsproxy): """Initialise button, passing document, setting, and parent widget.""" qt4.QWidget.__init__(self) self.setFocusPolicy(qt4.Qt.StrongFocus) self.document = document document.signalModified.connect(self.slotDocModified) self.setting = setting self.setnsproxy = setnsproxy self.layout = qt4.QHBoxLayout(self) self.layout.setMargin(2) if setting.usertext: text = setting.usertext else: text = setting.name self.labelicon = qt4.QLabel(text) self.layout.addWidget(self.labelicon) self.iconlabel = qt4.QLabel() self.layout.addWidget(self.iconlabel) self.signalClicked.connect(self.settingMenu) self.infocus = False self.inmouse = False self.inmenu = False # initialise settings self.slotDocModified(True) def mouseReleaseEvent(self, event): """Emit signalClicked(pos) on mouse release.""" self.signalClicked.emit( self.mapToGlobal(event.pos()) ) return qt4.QWidget.mouseReleaseEvent(self, event) def keyReleaseEvent(self, event): """Emit signalClicked(pos) on key release.""" if event.key() == qt4.Qt.Key_Space: self.signalClicked.emit( self.mapToGlobal(self.iconlabel.pos()) ) event.accept() else: return qt4.QWidget.keyReleaseEvent(self, event) # Mark as a qt slot. This fixes a bug where you get C/C++ object # deleted messages when the document emits signalModified but this # widget has been deleted. This can be reproduced by dragging a # widget between two windows, then undoing. @qt4.pyqtSlot(int) def slotDocModified(self, ismodified): """If the document has been modified.""" # update pixmap (e.g. link added/removed) self.updateHighlight() # update tooltip tooltip = self.setting.descr if self.setting.isReference(): paths = self.setting.getReference().getPaths() tooltip += _('\nLinked to: %s') % ', '.join(paths) self.setToolTip(tooltip) # if not default, make label bold f = qt4.QFont(self.labelicon.font()) multivalued = self.setnsproxy.multivalued(self.setting.name) f.setBold( (not self.setting.isDefault()) or multivalued ) f.setItalic( multivalued ) self.labelicon.setFont(f) def updateHighlight(self): """Show drop down arrow if item has focus.""" if self.inmouse or self.infocus or self.inmenu: pixmap = 'downarrow.png' else: if self.setting.isReference() and not self.setting.isDefault(): pixmap = 'link.png' else: pixmap = 'downarrow_blank.png' self.iconlabel.setPixmap(utils.getPixmap(pixmap)) def enterEvent(self, event): """Focus on mouse enter.""" self.inmouse = True self.updateHighlight() return qt4.QWidget.enterEvent(self, event) def leaveEvent(self, event): """Clear focus on mouse leaving.""" self.inmouse = False self.updateHighlight() return qt4.QWidget.leaveEvent(self, event) def focusInEvent(self, event): """Focus if widgets gets focus.""" self.infocus = True self.updateHighlight() return qt4.QWidget.focusInEvent(self, event) def focusOutEvent(self, event): """Lose focus if widget loses focus.""" self.infocus = False self.updateHighlight() return qt4.QWidget.focusOutEvent(self, event) def addCopyToWidgets(self, menu): """Make a menu with list of other widgets in it.""" def getWidgetsOfType(widget, widgettype, widgets=[]): """Recursively build up a list of widgets of the type given.""" for w in widget.children: if w.typename == widgettype: widgets.append(w) getWidgetsOfType(w, widgettype, widgets) # get list of widget paths to copy setting to # this is all widgets of same type widgets = [] setwidget = self.setting.getWidget() if setwidget is None: return getWidgetsOfType(self.document.basewidget, setwidget.typename, widgets) widgets = [w.path for w in widgets if w != setwidget] widgets.sort() # chop off widget part of setting path # this is so we can add on a different widget path # note setpath needs to include Settings part of path too setpath = self.setting.path wpath = self.setting.getWidget().path setpath = setpath[len(wpath):] # includes / def modifyfn(widget): def modify(): """Modify the setting for the widget given.""" wpath = widget + setpath self.document.applyOperation( document.OperationSettingSet(wpath, self.setting.get())) return modify for widget in widgets: action = menu.addAction(widget) action.triggered.connect(modifyfn(widget)) @qt4.pyqtSlot(qt4.QPoint) def settingMenu(self, pos): """Pop up menu for each setting.""" # forces settings to be updated self.parentWidget().setFocus() # get it back straight away self.setFocus() # get widget, with its type and name widget = self.setting.parent while widget is not None and not isinstance(widget, widgets.Widget): widget = widget.parent if widget is None: return self._clickwidget = widget wtype = widget.typename name = widget.name popup = qt4.QMenu(self) popup.addAction(_('Reset to default'), self.actionResetDefault) copyto = popup.addMenu(_('Copy to')) copyto.addAction(_("all '%s' widgets") % wtype, self.actionCopyTypedWidgets) copyto.addAction(_("'%s' siblings") % wtype, self.actionCopyTypedSiblings) copyto.addAction(_("'%s' widgets called '%s'") % (wtype, name), self.actionCopyTypedNamedWidgets) copyto.addSeparator() self.addCopyToWidgets(copyto) popup.addAction(_('Use as default style'), self.actionSetStyleSheet) # special actions for references if self.setting.isReference(): popup.addSeparator() popup.addAction(_('Unlink setting'), self.actionUnlinkSetting) self.inmenu = True self.updateHighlight() popup.exec_(pos) self.inmenu = False self.updateHighlight() def actionResetDefault(self): """Reset setting to default.""" self.setnsproxy.resetToDefault(self.setting.name) def actionCopyTypedWidgets(self): """Copy setting to widgets of same type.""" self.document.applyOperation( document.OperationSettingPropagate(self.setting) ) def actionCopyTypedSiblings(self): """Copy setting to siblings of the same type.""" self.document.applyOperation( document.OperationSettingPropagate(self.setting, root=self._clickwidget.parent, maxlevels=1) ) def actionCopyTypedNamedWidgets(self): """Copy setting to widgets with the same name and type.""" self.document.applyOperation( document.OperationSettingPropagate(self.setting, widgetname= self._clickwidget.name) ) def actionUnlinkSetting(self): """Unlink the setting if it is a reference.""" self.document.applyOperation( document.OperationSettingSet(self.setting, self.setting.get()) ) def actionSetStyleSheet(self): """Use the setting as the default in the stylesheet.""" # get name of stylesheet setting sslink = self.setting.getStylesheetLink() # apply operation to change it self.document.applyOperation( document.OperationMultiple( [ document.OperationSettingSet(sslink, self.setting.get()), document.OperationSettingSet(self.setting, self.setting.default) ], descr=_("make default style")) ) veusz-1.21.1/veusz/windows/tutorial.py0000644000175000017500000007072212327177747016244 0ustar jssjss# -*- coding: utf-8 -*- # Copyright (C) 2011 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################### from __future__ import division import os.path from .. import qtall as qt4 from .. import utils from .. import setting def _(text, disambiguation=None, context="Tutorial"): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) class TutorialStep(qt4.QObject): nextStep = qt4.pyqtSignal() def __init__(self, text, mainwin, nextstep=None, flash=None, disablenext=False, closestep=False, nextonsetting=None, nextonselected=None): """ nextstep is class next TutorialStep class to use If flash is set, flash widget disablenext: wait until nextStep is emitted before going to next slide closestep: add a close button nextonsetting: (setnpath, lambda val: ok) - check setting to go to next slide nextonselected: go to next if widget with name is selected """ qt4.QObject.__init__(self) self.text = text self.nextstep = nextstep self.flash = flash self.disablenext = disablenext self.closestep = closestep self.mainwin = mainwin self.nextonsetting = nextonsetting if nextonsetting is not None: mainwin.document.signalModified.connect(self.slotNextSetting) self.nextonselected = nextonselected if nextonselected is not None: mainwin.treeedit.widgetsSelected.connect(self.slotWidgetsSelected) def slotNextSetting(self, *args): """Check setting to emit next.""" try: setn = self.mainwin.document.basewidget.prefLookup( self.nextonsetting[0]).get() if self.nextonsetting[1](setn): self.nextStep.emit() except ValueError: pass def slotWidgetsSelected(self, widgets, *args): """Go to next page if widget selected.""" if len(widgets) == 1 and widgets[0].name == self.nextonselected: self.nextStep.emit() ########################## ## Introduction to widgets class StepIntro(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Welcome to Veusz!

    This tutorial aims to get you working with Veusz as quickly as possible.

    You can close this tutorial at any time using the close button to the top-right of this panel. The tutorial can be replayed in the help menu.

    Press Next to go to the next step

    '''), mainwin, nextstep=StepWidgets1) class StepWidgets1(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Widgets

    Plots in Veusz are constructed from widgets. Different types of widgets are used to make different parts of a plot. For example, there are widgets for axes, for a graph, for plotting data and for plotting functions.

    There are also special widgets. The grid widget arranges graphs inside it in a grid arrangement.

    '''), mainwin, nextstep=StepWidgets2) class StepWidgets2(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Widget can often be placed inside each other. For instance, a graph widget is placed in a page widget or a grid widget. Plotting widgets are placed in graph widget.

    You can have multiple widgets of different types. For example, you can have several graphs on the page, optionally arranged in a grid. Several plotting widgets and axis widgets can be put in a graph.

    '''), mainwin, nextstep=StepWidgetWin) class StepWidgetWin(TutorialStep): def __init__(self, mainwin): t = mainwin.treeedit TutorialStep.__init__( self, _('''

    Widget editing

    The flashing window is the Editing window, which shows the widgets currently in the plot in a hierarchical tree. Each widget has a name (the left column) and a type (the right column).

    Press Next to continue.

    '''), mainwin, nextstep=StepWidgetWinExpand, flash=t) class StepWidgetWinExpand(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    The graph widget is the currently selected widget.

    Expand the graph widget - click the arrow or plus to its left in the editing window - and select the x axis widget.

    '''), mainwin, disablenext=True, nextonselected='x', nextstep=StepPropertiesWin) class StepPropertiesWin(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Widget properties

    This window shows the properties of the currently selected widget, the x axis widget of the graph.

    Enter a new label for the widget, by clicking in the text edit box to the right of "Label", typing some text and press the Enter key.

    '''), mainwin, flash = mainwin.propdock, disablenext = True, nextonsetting = ('/page1/graph1/x/label', lambda val: val != ''), nextstep = StepPropertiesWin2) class StepPropertiesWin2(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Notice that the x axis label of your plot has now been updated. Veusz supports LaTeX style formatting for labels, so you could include superscripts, subscripts and fractions.

    Other important axis properties include the minimum, maximum values of the axis and whether the axis is logarithmic.

    Click Next to continue.

    '''), mainwin, nextstep=WidgetAdd) class WidgetAdd(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Adding widgets

    The flashing Add Widget toolbar and the Insert menu add widgets to the document. New widgets are inserted in the currently selected widget, if possible, or its parents.

    Hold your mouse pointer over one of the toolbar buttons to see a description of a widget type.

    Press Next to continue.

    '''), mainwin, flash=mainwin.treeedit.addtoolbar, nextstep=FunctionAdd ) class FunctionAdd(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Add a function

    We will now add a function plotting widget to the current graph.

    Click on the flashing icon, or go to the Insert menu and choosing "Add function".

    '''), mainwin, flash=mainwin.treeedit.addtoolbar.widgetForAction( mainwin.vzactions['add.function']), disablenext=True, nextonsetting = ('/page1/graph1/function1/function', lambda val: val != ''), nextstep=FunctionSet) class FunctionSet(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    You have now added a function widget to the graph widget. By default function widgets plot y=x.

    Go to the Function property and change the function to be x**2, plotting x squared.

    (Veusz uses Python syntax for its functions, so the power operator is **, rather than ^)

    '''), mainwin, nextonsetting = ('/page1/graph1/function1/function', lambda val: val.strip() == 'x**2'), disablenext = True, nextstep=FunctionFormatting) class FunctionFormatting(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Formatting

    Widgets have a number of formatting options. The Formatting window (flashing) shows the options for the currently selected widget, here the function widget.

    Press Next to continue

    '''), mainwin, flash=mainwin.formatdock, nextstep=FunctionFormatLine) class FunctionFormatLine(TutorialStep): def __init__(self, mainwin): tb = mainwin.formatdock.tabwidget.tabBar() label = qt4.QLabel(" ", tb) tb.setTabButton(1, qt4.QTabBar.LeftSide, label) TutorialStep.__init__( self, _('''

    Different types of formatting properties are grouped under separate tables. The options for drawing the function line are grouped under the flashing Line tab (%s).

    Click on the Line tab to continue.

    ''') % utils.pixmapAsHtml(utils.getPixmap('settings_plotline.png')), mainwin, flash=label, disablenext=True, nextstep=FunctionLineFormatting) tb.currentChanged[int].connect(self.slotCurrentChanged) def slotCurrentChanged(self, idx): if idx == 1: self.nextStep.emit() class FunctionLineFormatting(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Veusz lets you choose a line style, thickness and color for the function line.

    Choose a new line color for the line.

    '''), mainwin, disablenext=True, nextonsetting = ('/page1/graph1/function1/Line/color', lambda val: val.strip() != 'black'), nextstep=DataStart) ########### ## Datasets class DataStart(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Datasets

    Many widgets in Veusz plot datasets. Datasets can be imported from files, entered manually or created from existing datasets using operations or expressions.

    Imported data can be linked to an external file or embedded in the document.

    Press Next to continue

    '''), mainwin, nextstep=DataImport) class DataImport(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Importing data

    Let us start by importing data.

    Click the flashing Data Import icon, or choose "Import..." From the Data menu.

    '''), mainwin, flash=mainwin.datatoolbar.widgetForAction( mainwin.vzactions['data.import']), disablenext=True, nextstep=DataImportDialog) # make sure we have the default delimiters for k in ( 'importdialog_csvdelimitercombo_HistoryCombo', 'importdialog_csvtextdelimitercombo_HistoryCombo' ): if k in setting.settingdb: del setting.settingdb[k] mainwin.dialogShown.connect(self.slotDialogShown) def slotDialogShown(self, dialog): """Called when a dialog is opened in the main window.""" from ..dialogs.importdialog import ImportDialog if isinstance(dialog, ImportDialog): # make life easy by sticking in filename dialog.filenameedit.setText( os.path.join(utils.exampleDirectory, 'tutorialdata.csv')) # and choosing tab dialog.guessImportTab() # get rid of existing values self.nextStep.emit() class DataImportDialog(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    This is the data import dialog. In this tutorial, we have selected an example CSV (comma separated value) file for you, but you would normally browse to find your data file.

    This example file defines three datasets, alpha, beta and gamma, entered as columns in the CSV file.

    Press Next to continue

    '''), mainwin, nextstep=DataImportDialog2) class DataImportDialog2(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Veusz will try to guess the datatype - numeric, text or date - from the data in the file or you can specify it manually.

    Several different data formats are supported in Veusz and plugins can be defined to import any data format. The Link option links data to the original file.

    Click the Import button in the dialog.

    '''), mainwin, nextstep=DataImportDialog3, disablenext=True) mainwin.document.signalModified.connect(self.slotDocModified) def slotDocModified(self): if 'alpha' in self.mainwin.document.data: self.nextStep.emit() class DataImportDialog3(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Notice how Veusz has loaded the three different datasets from the file. You could carry on importing new datasets from the Import dialog box or reopen it later.

    Close the Import dialog box.

    '''), mainwin, disablenext=True, nextstep=DataImportDialog4) self.timer = qt4.QTimer() self.timer.timeout.connect(self.slotTimeout) self.timer.start(200) def slotTimeout(self): from ..dialogs.importdialog import ImportDialog closed = True for dialog in self.mainwin.dialogs: if isinstance(dialog, ImportDialog): closed = False if closed: # move forward if no import dialog open self.nextStep.emit() class DataImportDialog4(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    The Data viewing window (flashing) shows the currently loaded datasets in the document.

    Hover your mouse over datasets to get information about them. You can see datasets in more detail in the Data Edit dialog box.

    Click Next to continue

    '''), mainwin, flash=mainwin.datadock, nextstep=AddXYPlotter) ############## ## XY plotting class AddXYPlotter(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Plotting data

    The point plotting widget plots datasets loaded in Veusz.

    The flashing icon adds a point plotting (xy) widget. Click on this, or go to the Add menu and choose "Add xy".

    '''), mainwin, flash=mainwin.treeedit.addtoolbar.widgetForAction( mainwin.vzactions['add.xy']), disablenext=True, nextonsetting = ('/page1/graph1/xy1/xData', lambda val: val != ''), nextstep=SetXY_X) class SetXY_X(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    The datasets to be plotted are in the widget's properties.

    Change the "X data" setting to be the alpha dataset. You can choose this from the drop down menu or type it.

    '''), mainwin, disablenext=True, nextonsetting = ('/page1/graph1/xy1/xData', lambda val: val == 'alpha'), nextstep=SetXY_Y) class SetXY_Y(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Change the "Y data" setting to be the beta dataset.

    '''), mainwin, disablenext=True, nextonsetting = ('/page1/graph1/xy1/yData', lambda val: val == 'beta'), nextstep=SetXYLine) class SetXYLine(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Veusz has now plotted the data on the graph. You can manipulate how the data are shown using the formatting settings.

    Make sure that the line Formatting tab (%s) for the widget is selected.

    Click on the check box next to the Hide option at the bottom, to hide the line plotted between the data points.

    ''') % utils.pixmapAsHtml(utils.getPixmap('settings_plotline.png')), mainwin, disablenext=True, nextonsetting = ('/page1/graph1/xy1/PlotLine/hide', lambda val: val), nextstep=SetXYFill) class SetXYFill(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Now we will change the point color.

    Click on the "Marker fill (%s)" formatting tab. Change the fill color of the plotted data.

    ''') % utils.pixmapAsHtml(utils.getPixmap('settings_plotmarkerfill.png')), mainwin, disablenext=True, nextonsetting = ('/page1/graph1/xy1/MarkerFill/color', lambda val: val != 'black'), nextstep=AddXY2nd) class AddXY2nd(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Adding a second dataset

    We will now plot dataset alpha against gamma on the same graph.

    Add a second point plotting (xy) widget using the flashing icon, or go to the Add menu and choose "Add xy".

    '''), mainwin, flash=mainwin.treeedit.addtoolbar.widgetForAction( mainwin.vzactions['add.xy']), disablenext=True, nextonsetting = ('/page1/graph1/xy2/xData', lambda val: val != ''), nextstep=AddXY2nd_2) class AddXY2nd_2(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Change the "X data" setting to be the alpha dataset.

    '''), mainwin, disablenext=True, nextonsetting = ('/page1/graph1/xy2/xData', lambda val: val == 'alpha'), nextstep=AddXY2nd_3) class AddXY2nd_3(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Next, change the "Y data" setting to be the gamma dataset.

    '''), mainwin, disablenext=True, nextonsetting = ('/page1/graph1/xy2/yData', lambda val: val == 'gamma'), nextstep=AddXY2nd_4) class AddXY2nd_4(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    We can fill regions under plots using the Fill Below Formatting tab (%s).

    Go to this tab, and unselect the "Hide edge fill" option.

    ''') % utils.pixmapAsHtml(utils.getPixmap('settings_plotfillbelow.png')), mainwin, disablenext=True, nextonsetting = ('/page1/graph1/xy2/FillBelow/hide', lambda val: not val), nextstep=File1) class File1(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Saving

    The document can be saved under the File menu, choosing "Save as...", or by clicking on the Save icon (flashing).

    Veusz documents are simple text files which can be easily modified outside the program.

    Click Next to continue

    '''), mainwin, flash=mainwin.maintoolbar.widgetForAction( mainwin.vzactions['file.save']), nextstep=File2) class File2(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Exporting

    The document can be exported in scalable (EPS, PDF, SVG and EMF) or bitmap formats.

    The "Export..." command under the File menu exports the selected page. Alternatively, click on the Export icon (flashing).

    Click Next to continue

    '''), mainwin, flash=mainwin.maintoolbar.widgetForAction( mainwin.vzactions['file.export']), nextstep=Cut1, ) class Cut1(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Cut and paste

    Widgets can be cut and pasted to manipulate the document.

    Select the "graph1" widget in the Editing window.

    '''), mainwin, disablenext=True, nextonselected='graph1', nextstep=Cut2) class Cut2(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Now click the Cut icon (flashing) or choose "Cut" from the Edit menu.

    This copies the currently selected widget to the clipboard and deletes it from the document.

    '''), mainwin, disablenext=True, flash=mainwin.treeedit.edittoolbar.widgetForAction( mainwin.vzactions['edit.cut']), nextstep=AddGrid) mainwin.document.signalModified.connect(self.slotCheckDelete) def slotCheckDelete(self, *args): d = self.mainwin.document try: d.resolve(d.basewidget, '/page1/graph1') except ValueError: # success! self.nextStep.emit() class AddGrid(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Adding a grid

    Now we will add a grid widget to paste the graph back into.

    Click on the flashing Grid widget icon, or choose "Add grid" from the Insert menu.

    '''), mainwin, flash=mainwin.treeedit.addtoolbar.widgetForAction( mainwin.vzactions['add.grid']), disablenext=True, nextonsetting = ('/page1/grid1/rows', lambda val: val != ''), nextstep=Paste1) class Paste1(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Now click the Paste icon (flashing) or choose "Paste" from the Edit menu.

    This pastes back the widget from the clipboard.

    '''), mainwin, disablenext=True, flash=mainwin.treeedit.edittoolbar.widgetForAction( mainwin.vzactions['edit.paste']), nextonsetting = ('/page1/grid1/graph1/leftMargin', lambda val: val != ''), nextstep=Paste2) class Paste2(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    For a second time, click the Paste icon (flashing) or choose "Paste" from the Edit menu.

    This adds a second copy of the original graph to the grid.

    '''), mainwin, disablenext=True, flash=mainwin.treeedit.edittoolbar.widgetForAction( mainwin.vzactions['edit.paste']), nextonsetting = ('/page1/grid1/graph2/leftMargin', lambda val: val != ''), nextstep=Paste3) class Paste3(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    Having the graphs side-by-side looks a bit messy. We would like to change the graphs to be arranged in rows.

    Navigate to the grid1 widget properties. Change the number of columns to 1.

    '''), mainwin, disablenext=True, nextonsetting = ('/page1/grid1/columns', lambda val: val == 1), nextstep=Paste4) class Paste4(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    We could now adjust the margins of the graphs and the grid.

    Axes can also be shared by the graphs of the grid by moving them into the grid widget. This shares the same axis scale for graphs.

    Click Next to continue

    '''), mainwin, nextstep=EndStep) class EndStep(TutorialStep): def __init__(self, mainwin): TutorialStep.__init__( self, _('''

    The End

    Thank you for working through this Veusz tutorial. We hope you enjoy using Veusz!

    Please send comments, bug reports and suggestions to the developers via the mailing list.

    You can try this tutorial again from the Help menu.

    '''), mainwin, closestep=True, disablenext=True) class TutorialDock(qt4.QDockWidget): '''A dock tutorial window.''' def __init__(self, document, mainwin, *args): qt4.QDockWidget.__init__(self, *args) self.setAttribute(qt4.Qt.WA_DeleteOnClose) self.setMinimumHeight(300) self.setWindowTitle('Tutorial - Veusz') self.setObjectName('veusztutorialwindow') self.setStyleSheet('background: lightyellow;') self.document = document self.mainwin = mainwin self.layout = l = qt4.QVBoxLayout() txtdoc = qt4.QTextDocument(self) txtdoc.setDefaultStyleSheet( "p.usercmd { color: blue; } " "h1 { font-size: x-large;} " "code { color: green;} " ) self.textedit = qt4.QTextEdit(readOnly=True) self.textedit.setDocument(txtdoc) l.addWidget(self.textedit) self.buttonbox = qt4.QDialogButtonBox() self.nextb = self.buttonbox.addButton( 'Next', qt4.QDialogButtonBox.ActionRole) self.nextb.clicked.connect(self.slotNext) l.addWidget(self.buttonbox) # have to use a separate widget as dialog already has layout self.widget = qt4.QWidget() self.widget.setLayout(l) self.setWidget(self.widget) # timer for controlling flashing self.flashtimer = qt4.QTimer(self) self.flashtimer.timeout.connect(self.slotFlashTimeout) self.flash = self.oldflash = None self.flashon = False self.flashct = 0 self.flashtimer.start(500) self.changeStep(StepIntro) def ensureShowFlashWidgets(self): '''Ensure we can see the widgets flashing.''' w = self.flash while w is not None: w.show() w = w.parent() def changeStep(self, stepklass): '''Apply the next step.''' # this is the current text self.step = stepklass(self.mainwin) # listen to step for next step self.step.nextStep.connect(self.slotNext) # update text self.textedit.setHtml(self.step.text) # handle requests for flashing self.flashct = 20 self.flashon = True self.flash = self.step.flash if self.flash is not None: self.ensureShowFlashWidgets() # enable/disable next button self.nextb.setEnabled(not self.step.disablenext) # add a close button if requested if self.step.closestep: closeb = self.buttonbox.addButton( 'Close', qt4.QDialogButtonBox.ActionRole) closeb.clicked.connect(self.close) # work around C/C++ object deleted @qt4.pyqtSlot() def slotFlashTimeout(self): '''Handle flashing of UI components.''' # because we're flashing random UI components, the C++ object # might be deleted, so we have to check before doing things to # it: hence the qt4.isdeleted if ( self.flash is not self.oldflash and self.oldflash is not None and not qt4.isdeleted(self.oldflash) ): # clear any flashing on previous widget self.oldflash.setStyleSheet('') self.oldflash = None if self.flash is not None and not qt4.isdeleted(self.flash): # set flash state and toggle variable if self.flashon: self.flash.setStyleSheet('background: yellow;') else: self.flash.setStyleSheet('') self.flashon = not self.flashon self.oldflash = self.flash # stop flashing after N iterations self.flashct -= 1 if self.flashct == 0: self.flash = None def slotNext(self): """Move to the next page of the tutorial.""" nextstepklass = self.step.nextstep if nextstepklass is not None: self.changeStep( nextstepklass ) veusz-1.21.1/veusz/windows/simplewindow.py0000664000175000017500000000513212271770356017106 0ustar jssjss# Copyright (C) 2005 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## from __future__ import division from .. import qtall as qt4 from .. import document from .. import dataimport from . import plotwindow """ A simple window class for wrapping a plotwindow """ class SimpleWindow(qt4.QMainWindow): """ The main window class for the application.""" def __init__(self, title, doc=None): qt4.QMainWindow.__init__(self) self.setWindowTitle(title) self.document = doc if not doc: self.document = document.Document() self.plot = plotwindow.PlotWindow(self.document, self) self.toolbar = None self.setCentralWidget( self.plot ) def enableToolbar(self, enable=True): """Enable or disable the zoom toolbar in this window.""" if self.toolbar is None and enable: self.toolbar = self.plot.createToolbar(self, None) self.toolbar.show() if self.toolbar is not None and not enable: self.toolbar.close() self.toolbar = None def setZoom(self, zoom): """Zoom(zoom) Set the plot zoom level: This is a number to for the zoom from 1:1 or 'page': zoom to page 'width': zoom to fit width 'height': zoom to fit height """ if zoom == 'page': self.plot.slotViewZoomPage() elif zoom == 'width': self.plot.slotViewZoomWidth() elif zoom == 'height': self.plot.slotViewZoomHeight() else: self.plot.setZoomFactor(zoom) def setAntiAliasing(self, ison): """AntiAliasing(ison) Switches on or off anti aliasing in the plot.""" self.plot.antialias = ison self.plot.actionForceUpdate() veusz-1.21.1/veusz/windows/__init__.py0000664000175000017500000000165712237406466016134 0ustar jssjss# Copyright (C) 2008 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """Veusz windows module.""" veusz-1.21.1/veusz/windows/mainwindow.py0000644000175000017500000014030112327177747016544 0ustar jssjss# -*- coding: utf-8 -*- # Copyright (C) 2003 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """Implements the main window of the application.""" from __future__ import division, print_function import os.path import sys import glob import re try: import h5py except ImportError: h5py = None from ..compat import cstr, cstrerror from .. import qtall as qt4 from .. import document from .. import utils from ..utils import vzdbus from .. import setting from .. import plugins from . import consolewindow from . import plotwindow from . import treeeditwindow from .datanavigator import DataNavigatorWindow from ..dialogs.aboutdialog import AboutDialog from ..dialogs.reloaddata import ReloadData from ..dialogs.datacreate import DataCreateDialog from ..dialogs.datacreate2d import DataCreate2DDialog from ..dialogs.preferences import PreferencesDialog from ..dialogs.errorloading import ErrorLoadingDialog from ..dialogs.capturedialog import CaptureDialog from ..dialogs.stylesheet import StylesheetDialog from ..dialogs.custom import CustomDialog from ..dialogs.safetyimport import SafetyImportDialog from ..dialogs.histodata import HistoDataDialog from ..dialogs.plugin import handlePlugin from ..dialogs import importdialog from ..dialogs import dataeditdialog def _(text, disambiguation=None, context='MainWindow'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) # shortcut to this setdb = setting.settingdb class DBusWinInterface(vzdbus.Object): """Simple DBus interface to window for triggering actions.""" interface = 'org.veusz.actions' def __init__(self, actions, index): prefix = '/Windows/%i/Actions' % index vzdbus.Object.__init__(self, vzdbus.sessionbus, prefix) self.actions = actions @vzdbus.method(dbus_interface=interface, out_signature='as') def GetActions(self): """Get list of actions which can be activated.""" return sorted(self.actions) @vzdbus.method(dbus_interface=interface, in_signature='s') def TriggerAction(self, action): """Activate action given.""" self.actions[action].trigger() class MainWindow(qt4.QMainWindow): """ The main window class for the application.""" # this is emitted when a dialog is opened by the main window dialogShown = qt4.pyqtSignal(qt4.QWidget) # emitted when a document is opened documentOpened = qt4.pyqtSignal() windows = [] @classmethod def CreateWindow(cls, filename=None): """Window factory function. If filename is given then that file is loaded into the window. Returns window created """ # create the window, and optionally load a saved file win = cls() win.show() if filename: # load document win.openFileInWindow(filename) else: win.setupDefaultDoc() # try to select first graph of first page win.treeedit.doInitialWidgetSelect() cls.windows.append(win) # check if tutorial wanted if not setting.settingdb['ask_tutorial']: win.askTutorial() # don't ask again setting.settingdb['ask_tutorial'] = True return win def __init__(self, *args): qt4.QMainWindow.__init__(self, *args) self.setAcceptDrops(True) # icon and different size variations self.setWindowIcon( utils.getIcon('veusz') ) # master documenent self.document = document.Document() # filename for document and update titlebar self.filename = '' self.updateTitlebar() # keep a list of references to dialogs self.dialogs = [] # construct menus and toolbars self._defineMenus() # make plot window self.plot = plotwindow.PlotWindow(self.document, self, menu = self.menus['view']) self.setCentralWidget(self.plot) self.plot.showToolbar() # likewise with the tree-editing window self.treeedit = treeeditwindow.TreeEditDock(self.document, self) self.addDockWidget(qt4.Qt.LeftDockWidgetArea, self.treeedit) self.propdock = treeeditwindow.PropertiesDock(self.document, self.treeedit, self) self.addDockWidget(qt4.Qt.LeftDockWidgetArea, self.propdock) self.formatdock = treeeditwindow.FormatDock(self.document, self.treeedit, self) self.addDockWidget(qt4.Qt.LeftDockWidgetArea, self.formatdock) self.datadock = DataNavigatorWindow(self.document, self, self) self.addDockWidget(qt4.Qt.RightDockWidgetArea, self.datadock) # make the console window a dock self.console = consolewindow.ConsoleWindow(self.document, self) self.console.hide() self.interpreter = self.console.interpreter self.addDockWidget(qt4.Qt.BottomDockWidgetArea, self.console) # assemble the statusbar statusbar = self.statusbar = qt4.QStatusBar(self) self.setStatusBar(statusbar) self.updateStatusbar(_('Ready')) # a label for the picker readout self.pickerlabel = qt4.QLabel(statusbar) self._setPickerFont(self.pickerlabel) statusbar.addPermanentWidget(self.pickerlabel) self.pickerlabel.hide() # plot queue - how many plots are currently being drawn self.plotqueuecount = 0 self.plot.sigQueueChange.connect(self.plotQueueChanged) self.plotqueuelabel = qt4.QLabel() self.plotqueuelabel.setToolTip(_("Number of rendering jobs remaining")) statusbar.addWidget(self.plotqueuelabel) self.plotqueuelabel.show() # a label for the cursor position readout self.axisvalueslabel = qt4.QLabel(statusbar) statusbar.addPermanentWidget(self.axisvalueslabel) self.axisvalueslabel.show() self.slotUpdateAxisValues(None) # a label for the page number readout self.pagelabel = qt4.QLabel(statusbar) statusbar.addPermanentWidget(self.pagelabel) self.pagelabel.show() # working directory - use previous one self.dirname = setdb.get('dirname', qt4.QDir.homePath()) self.dirname_export = setdb.get('dirname_export', self.dirname) if setdb['dirname_usecwd']: self.dirname = self.dirname_export = os.getcwd() # connect plot signals to main window self.plot.sigUpdatePage.connect(self.slotUpdatePage) self.plot.sigAxisValuesFromMouse.connect(self.slotUpdateAxisValues) self.plot.sigPickerEnabled.connect(self.slotPickerEnabled) self.plot.sigPointPicked.connect(self.slotUpdatePickerLabel) # disable save if already saved self.document.signalModified.connect(self.slotModifiedDoc) # if the treeeditwindow changes the page, change the plot window self.treeedit.sigPageChanged.connect(self.plot.setPageNumber) # if a widget in the plot window is clicked by the user self.plot.sigWidgetClicked.connect(self.treeedit.selectWidget) self.treeedit.widgetsSelected.connect(self.plot.selectedWidgets) # enable/disable undo/redo self.menus['edit'].aboutToShow.connect(self.slotAboutToShowEdit) #Get the list of recently opened files self.populateRecentFiles() self.setupWindowGeometry() self.defineViewWindowMenu() # if document requests it, ask whether an allowed import self.document.sigAllowedImports.connect(self.slotAllowedImportsDoc) # add on dbus interface self.dbusdocinterface = document.DBusInterface(self.document) self.dbuswininterface = DBusWinInterface( self.vzactions, self.dbusdocinterface.index) # has the document already been setup self.documentsetup = False def updateStatusbar(self, text): '''Display text for a set period.''' self.statusBar().showMessage(text, 2000) def dragEnterEvent(self, event): """Check whether event is valid to be dropped.""" if (event.provides("text/uri-list") and self._getVeuszDropFiles(event)): event.acceptProposedAction() def dropEvent(self, event): """Respond to a drop event on the current window""" if event.provides("text/uri-list"): files = self._getVeuszDropFiles(event) if files: if self.document.isBlank(): self.openFileInWindow(files[0]) else: self.CreateWindow(files[0]) for filename in files[1:]: self.CreateWindow(filename) def _getVeuszDropFiles(self, event): """Return a list of veusz files from a drag/drop event containing a text/uri-list""" mime = event.mimeData() if not mime.hasUrls(): return [] else: # get list of vsz files dropped urls = [u.path() for u in mime.urls()] urls = [u for u in urls if os.path.splitext(u)[1] == '.vsz'] return urls def setupDefaultDoc(self): """Setup default document.""" if not self.documentsetup: # add page and default graph self.document.makeDefaultDoc() # load defaults if set self.loadDefaultStylesheet() self.loadDefaultCustomDefinitions() # done setup self.documentsetup = True def loadDefaultStylesheet(self): """Loads the default stylesheet for the new document.""" filename = setdb['stylesheet_default'] if filename: try: self.document.applyOperation( document.OperationLoadStyleSheet(filename) ) except EnvironmentError as e: qt4.QMessageBox.warning( self, _("Error - Veusz"), _("Unable to load default stylesheet '%s'\n\n%s") % (filename, cstrerror(e))) else: # reset any modified flag self.document.setModified(False) self.document.changeset = 0 def loadDefaultCustomDefinitions(self): """Loads the custom definitions for the new document.""" filename = setdb['custom_default'] if filename: try: self.document.applyOperation( document.OperationLoadCustom(filename) ) except EnvironmentError as e: qt4.QMessageBox.warning( self, _("Error - Veusz"), _("Unable to load custom definitions '%s'\n\n%s") % (filename, cstrerror(e))) else: # reset any modified flag self.document.setModified(False) self.document.changeset = 0 def slotAboutToShowEdit(self): """Enable/disable undo/redo menu items.""" # enable distable, and add appropriate text to describe # the operation being undone/redone canundo = self.document.canUndo() undotext = _('Undo') if canundo: undotext = "%s %s" % (undotext, self.document.historyundo[-1].descr) self.vzactions['edit.undo'].setText(undotext) self.vzactions['edit.undo'].setEnabled(canundo) canredo = self.document.canRedo() redotext = _('Redo') if canredo: redotext = "%s %s" % (redotext, self.document.historyredo[-1].descr) self.vzactions['edit.redo'].setText(redotext) self.vzactions['edit.redo'].setEnabled(canredo) def slotEditUndo(self): """Undo the previous operation""" if self.document.canUndo(): self.document.undoOperation() self.treeedit.checkWidgetSelected() def slotEditRedo(self): """Redo the previous operation""" if self.document.canRedo(): self.document.redoOperation() def slotEditPreferences(self): dialog = PreferencesDialog(self) dialog.exec_() def slotEditStylesheet(self): dialog = StylesheetDialog(self, self.document) self.showDialog(dialog) return dialog def slotEditCustom(self): dialog = CustomDialog(self, self.document) self.showDialog(dialog) return dialog def definePlugins(self, pluginlist, actions, menuname): """Create menu items and actions for plugins. pluginlist: list of plugin classes actions: dict of actions to add new actions to menuname: string giving prefix for new menu entries (inside actions) """ menu = [] for pluginkls in pluginlist: def loaddialog(pluginkls=pluginkls): """Load plugin dialog""" handlePlugin(self, self.document, pluginkls) actname = menuname + '.' + '.'.join(pluginkls.menu) text = pluginkls.menu[-1] if pluginkls.has_parameters: text += '...' actions[actname] = utils.makeAction( self, pluginkls.description_short, text, loaddialog) # build up menu from tuple of names menulook = menu namebuild = [menuname] for cmpt in pluginkls.menu[:-1]: namebuild.append(cmpt) name = '.'.join(namebuild) for c in menulook: if c[0] == name: menulook = c[2] break else: menulook.append( [name, cmpt, []] ) menulook = menulook[-1][2] menulook.append(actname) return menu def _defineMenus(self): """Initialise the menus and toolbar.""" # these are actions for main menu toolbars and menus a = utils.makeAction self.vzactions = { 'file.new': a(self, _('New document'), _('&New'), self.slotFileNew, icon='kde-document-new', key='Ctrl+N'), 'file.open': a(self, _('Open a document'), _('&Open...'), self.slotFileOpen, icon='kde-document-open', key='Ctrl+O'), 'file.save': a(self, _('Save the document'), _('&Save'), self.slotFileSave, icon='kde-document-save', key='Ctrl+S'), 'file.saveas': a(self, _('Save the current graph under a new name'), _('Save &As...'), self.slotFileSaveAs, icon='kde-document-save-as'), 'file.print': a(self, _('Print the document'), _('&Print...'), self.slotFilePrint, icon='kde-document-print', key='Ctrl+P'), 'file.export': a(self, _('Export the current page'), _('&Export...'), self.slotFileExport, icon='kde-document-export'), 'file.close': a(self, _('Close current window'), _('Close Window'), self.slotFileClose, icon='kde-window-close', key='Ctrl+W'), 'file.quit': a(self, _('Exit the program'), _('&Quit'), self.slotFileQuit, icon='kde-application-exit', key='Ctrl+Q'), 'edit.undo': a(self, _('Undo the previous operation'), _('Undo'), self.slotEditUndo, icon='kde-edit-undo', key='Ctrl+Z'), 'edit.redo': a(self, _('Redo the previous operation'), _('Redo'), self.slotEditRedo, icon='kde-edit-redo', key='Ctrl+Shift+Z'), 'edit.prefs': a(self, _('Edit preferences'), _('Preferences...'), self.slotEditPreferences, icon='veusz-edit-prefs'), 'edit.custom': a(self, _('Edit custom functions and constants'), _('Custom definitions...'), self.slotEditCustom, icon='veusz-edit-custom'), 'edit.stylesheet': a(self, _('Edit stylesheet to change default widget settings'), _('Default styles...'), self.slotEditStylesheet, icon='settings_stylesheet'), 'view.edit': a(self, _('Show or hide edit window'), _('Edit window'), None, checkable=True), 'view.props': a(self, _('Show or hide property window'), _('Properties window'), None, checkable=True), 'view.format': a(self, _('Show or hide formatting window'), _('Formatting window'), None, checkable=True), 'view.console': a(self, _('Show or hide console window'), _('Console window'), None, checkable=True), 'view.datanav': a(self, _('Show or hide data navigator window'), _('Data navigator window'), None, checkable=True), 'view.maintool': a(self, _('Show or hide main toolbar'), _('Main toolbar'), None, checkable=True), 'view.datatool': a(self, _('Show or hide data toolbar'), _('Data toolbar'), None, checkable=True), 'view.viewtool': a(self, _('Show or hide view toolbar'), _('View toolbar'), None, checkable=True), 'view.edittool': a(self, _('Show or hide editing toolbar'), _('Editing toolbar'), None, checkable=True), 'view.addtool': a(self, _('Show or hide insert toolbar'), _('Insert toolbar'), None, checkable=True), 'data.import': a(self, _('Import data into Veusz'), _('&Import...'), self.slotDataImport, icon='kde-vzdata-import'), 'data.edit': a(self, _('Edit and enter new datasets'), _('&Editor...'), self.slotDataEdit, icon='kde-edit-veuszedit'), 'data.create': a(self, _('Create new datasets using ranges, parametrically or as functions of existing datasets'), _('&Create...'), self.slotDataCreate, icon='kde-dataset-new-veuszedit'), 'data.create2d': a(self, _('Create new 2D datasets from existing datasets, or as a function of x and y'), _('Create &2D...'), self.slotDataCreate2D, icon='kde-dataset2d-new-veuszedit'), 'data.capture': a(self, _('Capture remote data'), _('Ca&pture...'), self.slotDataCapture, icon='veusz-capture-data'), 'data.histogram': a(self, _('Histogram data'), _('&Histogram...'), self.slotDataHistogram, icon='button_bar'), 'data.reload': a(self, _('Reload linked datasets'), _('&Reload'), self.slotDataReload, icon='kde-view-refresh'), 'help.home': a(self, _('Go to the Veusz home page on the internet'), _('Home page'), self.slotHelpHomepage), 'help.project': a(self, _('Go to the Veusz project page on the internet'), _('GNA Project page'), self.slotHelpProjectPage), 'help.bug': a(self, _('Report a bug on the internet'), _('Suggestions and bugs'), self.slotHelpBug), 'help.tutorial': a(self, _('An interactive Veusz tutorial'), _('Tutorial'), self.slotHelpTutorial), 'help.about': a(self, _('Displays information about the program'), _('About...'), self.slotHelpAbout, icon='veusz') } # create main toolbar tb = self.maintoolbar = qt4.QToolBar(_("Main toolbar - Veusz"), self) iconsize = setdb['toolbar_size'] tb.setIconSize(qt4.QSize(iconsize, iconsize)) tb.setObjectName('veuszmaintoolbar') self.addToolBar(qt4.Qt.TopToolBarArea, tb) utils.addToolbarActions(tb, self.vzactions, ('file.new', 'file.open', 'file.save', 'file.print', 'file.export')) # data toolbar tb = self.datatoolbar = qt4.QToolBar(_("Data toolbar - Veusz"), self) tb.setIconSize(qt4.QSize(iconsize, iconsize)) tb.setObjectName('veuszdatatoolbar') self.addToolBar(qt4.Qt.TopToolBarArea, tb) utils.addToolbarActions(tb, self.vzactions, ('data.import', 'data.edit', 'data.create', 'data.capture', 'data.reload')) # menu structure filemenu = [ 'file.new', 'file.open', ['file.filerecent', _('Open &Recent'), []], '', 'file.save', 'file.saveas', '', 'file.print', 'file.export', '', 'file.close', 'file.quit' ] editmenu = [ 'edit.undo', 'edit.redo', '', ['edit.select', _('&Select'), []], '', 'edit.prefs', 'edit.stylesheet', 'edit.custom', '' ] viewwindowsmenu = [ 'view.edit', 'view.props', 'view.format', 'view.console', 'view.datanav', '', 'view.maintool', 'view.viewtool', 'view.addtool', 'view.edittool' ] viewmenu = [ ['view.viewwindows', _('&Windows'), viewwindowsmenu], '' ] insertmenu = [ ] # load dataset plugins and create menu datapluginsmenu = self.definePlugins( plugins.datasetpluginregistry, self.vzactions, 'data.ops' ) datamenu = [ ['data.ops', _('&Operations'), datapluginsmenu], 'data.import', 'data.edit', 'data.create', 'data.create2d', 'data.capture', 'data.histogram', 'data.reload', ] helpmenu = [ 'help.home', 'help.project', 'help.bug', '', 'help.tutorial', '', ['help.examples', _('&Example documents'), []], '', 'help.about' ] # load tools plugins and create menu toolsmenu = self.definePlugins( plugins.toolspluginregistry, self.vzactions, 'tools' ) menus = [ ['file', _('&File'), filemenu], ['edit', _('&Edit'), editmenu], ['view', _('&View'), viewmenu], ['insert', _('&Insert'), insertmenu], ['data', _('&Data'), datamenu], ['tools', _('&Tools'), toolsmenu], ['help', _('&Help'), helpmenu], ] self.menus = {} utils.constructMenus(self.menuBar(), self.menus, menus, self.vzactions) self.populateExamplesMenu() def _setPickerFont(self, label): f = label.font() f.setBold(True) f.setPointSizeF(f.pointSizeF() * 1.2) label.setFont(f) def populateExamplesMenu(self): """Add examples to help menu.""" examples = glob.glob(os.path.join(utils.exampleDirectory, '*.vsz')) menu = self.menus["help.examples"] for ex in sorted(examples): name = os.path.splitext(os.path.basename(ex))[0] def _openexample(ex=ex): MainWindow.CreateWindow(ex) a = menu.addAction(name, _openexample) a.setStatusTip(_("Open %s example document") % name) def defineViewWindowMenu(self): """Setup View -> Window menu.""" def viewHideWindow(window): """Toggle window visibility.""" w = window def f(): w.setVisible(not w.isVisible()) return f # set whether windows are visible and connect up to toggle windows self.viewwinfns = [] for win, act in ((self.treeedit, 'view.edit'), (self.propdock, 'view.props'), (self.formatdock, 'view.format'), (self.console, 'view.console'), (self.datadock, 'view.datanav'), (self.maintoolbar, 'view.maintool'), (self.datatoolbar, 'view.datatool'), (self.treeedit.edittoolbar, 'view.edittool'), (self.treeedit.addtoolbar, 'view.addtool'), (self.plot.viewtoolbar, 'view.viewtool')): a = self.vzactions[act] fn = viewHideWindow(win) self.viewwinfns.append( (win, a, fn) ) a.triggered.connect(fn) # needs to update state every time menu is shown self.menus['view.viewwindows'].aboutToShow.connect( self.slotAboutToShowViewWindow) def slotAboutToShowViewWindow(self): """Enable/disable View->Window item check boxes.""" for win, act, fn in self.viewwinfns: act.setChecked(not win.isHidden()) def showDialog(self, dialog): """Show dialog given.""" dialog.dialogFinished.connect(self.deleteDialog) self.dialogs.append(dialog) dialog.show() self.dialogShown.emit(dialog) def deleteDialog(self, dialog): """Remove dialog from list of dialogs.""" try: idx = self.dialogs.index(dialog) del self.dialogs[idx] except ValueError: pass def slotDataImport(self): """Display the import data dialog.""" dialog = importdialog.ImportDialog(self, self.document) self.showDialog(dialog) return dialog def slotDataEdit(self, editdataset=None): """Edit existing datasets. If editdataset is set to a dataset name, edit this dataset """ dialog = dataeditdialog.DataEditDialog(self, self.document) self.showDialog(dialog) if editdataset is not None: dialog.selectDataset(editdataset) return dialog def slotDataCreate(self): """Create new datasets.""" dialog = DataCreateDialog(self, self.document) self.showDialog(dialog) return dialog def slotDataCreate2D(self): """Create new datasets.""" dialog = DataCreate2DDialog(self, self.document) self.showDialog(dialog) return dialog def slotDataCapture(self): """Capture remote data.""" dialog = CaptureDialog(self.document, self) self.showDialog(dialog) return dialog def slotDataHistogram(self): """Histogram data.""" dialog = HistoDataDialog(self, self.document) self.showDialog(dialog) return dialog def slotDataReload(self): """Reload linked datasets.""" dialog = ReloadData(self.document, self) self.showDialog(dialog) return dialog def slotHelpHomepage(self): """Go to the veusz homepage.""" qt4.QDesktopServices.openUrl(qt4.QUrl('http://home.gna.org/veusz/')) def slotHelpProjectPage(self): """Go to the veusz project page.""" qt4.QDesktopServices.openUrl(qt4.QUrl('http://gna.org/projects/veusz/')) def slotHelpBug(self): """Go to the veusz bug page.""" qt4.QDesktopServices.openUrl( qt4.QUrl('https://gna.org/bugs/?group=veusz') ) def askTutorial(self): """Ask if tutorial wanted.""" retn = qt4.QMessageBox.question( self, _("Veusz Tutorial"), _("Veusz includes a tutorial to help get you started.\n" "Would you like to start the tutorial now?\n" "If not, you can access it later through the Help menu."), qt4.QMessageBox.Yes | qt4.QMessageBox.No ) if retn == qt4.QMessageBox.Yes: self.slotHelpTutorial() def slotHelpTutorial(self): """Show a Veusz tutorial.""" if self.document.isBlank(): # run the tutorial from .tutorial import TutorialDock tutdock = TutorialDock(self.document, self, self) self.addDockWidget(qt4.Qt.RightDockWidgetArea, tutdock) tutdock.show() else: # open up a blank window for tutorial win = self.CreateWindow() win.slotHelpTutorial() def slotHelpAbout(self): """Show about dialog.""" AboutDialog(self).exec_() def queryOverwrite(self): """Do you want to overwrite the current document. Returns qt4.QMessageBox.(Yes,No,Cancel).""" # include filename in mesage box if we can filetext = '' if self.filename: filetext = " '%s'" % os.path.basename(self.filename) # show message box mb = qt4.QMessageBox(_("Save file?"), _("Document%s was modified. Save first?") % filetext, qt4.QMessageBox.Warning, qt4.QMessageBox.Yes | qt4.QMessageBox.Default, qt4.QMessageBox.No, qt4.QMessageBox.Cancel | qt4.QMessageBox.Escape, self) mb.setButtonText(qt4.QMessageBox.Yes, _("&Save")) mb.setButtonText(qt4.QMessageBox.No, _("&Discard")) mb.setButtonText(qt4.QMessageBox.Cancel, _("&Cancel")) return mb.exec_() def closeEvent(self, event): """Before closing, check whether we need to save first.""" # if the document has been modified then query user for saving if self.document.isModified(): v = self.queryOverwrite() if v == qt4.QMessageBox.Cancel: event.ignore() return elif v == qt4.QMessageBox.Yes: self.slotFileSave() # store working directory setdb['dirname'] = self.dirname setdb['dirname_export'] = self.dirname_export # store the current geometry in the settings database geometry = ( self.x(), self.y(), self.width(), self.height() ) setdb['geometry_mainwindow'] = geometry # store docked windows data = str(self.saveState()) setdb['geometry_mainwindowstate'] = data # save current setting db setdb.writeSettings() event.accept() def setupWindowGeometry(self): """Restoring window geometry if possible.""" # count number of main windows shown nummain = 0 for w in qt4.qApp.topLevelWidgets(): if isinstance(w, qt4.QMainWindow): nummain += 1 # if we can restore the geometry, do so if 'geometry_mainwindow' in setdb: geometry = setdb['geometry_mainwindow'] self.resize( qt4.QSize(geometry[2], geometry[3]) ) if nummain <= 1: geomrect = qt4.QApplication.desktop().availableGeometry() newpos = qt4.QPoint(geometry[0], geometry[1]) if geomrect.contains(newpos): self.move(newpos) # restore docked window geometry if 'geometry_mainwindowstate' in setdb: b = qt4.QByteArray(setdb['geometry_mainwindowstate']) self.restoreState(b) def slotFileNew(self): """New file.""" self.CreateWindow() def slotFileSave(self): """Save file.""" if self.filename == '': self.slotFileSaveAs() else: # show busy cursor qt4.QApplication.setOverrideCursor( qt4.QCursor(qt4.Qt.WaitCursor) ) try: ext = os.path.splitext(self.filename)[1] mode = 'hdf5' if ext == '.vszh5' else 'vsz' self.document.save(self.filename, mode) self.updateStatusbar(_("Saved to %s") % self.filename) except EnvironmentError as e: qt4.QApplication.restoreOverrideCursor() qt4.QMessageBox.critical( self, _("Error - Veusz"), _("Unable to save document as '%s'\n\n%s") % (self.filename, cstrerror(e))) else: # restore the cursor qt4.QApplication.restoreOverrideCursor() def updateTitlebar(self): """Put the filename into the title bar.""" if self.filename == '': self.setWindowTitle(_('Untitled - Veusz')) else: self.setWindowTitle( _("%s - Veusz") % os.path.basename(self.filename) ) def plotQueueChanged(self, incr): self.plotqueuecount += incr text = u'•' * self.plotqueuecount self.plotqueuelabel.setText(text) def fileSaveDialog(self, filters, dialogtitle): """A generic file save dialog for exporting / saving. filters: list of filters """ fd = qt4.QFileDialog(self, dialogtitle) fd.setDirectory(self.dirname) fd.setFileMode(qt4.QFileDialog.AnyFile) fd.setAcceptMode(qt4.QFileDialog.AcceptSave) fd.setNameFilters(filters) # selected filetype is saved under a key constructed here filetype_re = re.compile(r'.*\(\*\.([a-z0-9]+)\)') filtertypes = [filetype_re.match(f).group(1) for f in filters] filterkey = '_'.join(['filterdefault'] + filtertypes) if filterkey in setting.settingdb: filter = setting.settingdb[filterkey] if filter in filters: fd.selectNameFilter(filter) # okay was selected (and is okay to overwrite if it exists) if fd.exec_() == qt4.QDialog.Accepted: # save directory for next time self.dirname = fd.directory().absolutePath() # update the edit box filename = fd.selectedFiles()[0] filetype = filetype_re.match(fd.selectedNameFilter()).group(1) if os.path.splitext(filename)[1][1:] != filetype: filename += '.' + filetype setting.settingdb[filterkey] = fd.selectedNameFilter() return filename return None def fileOpenDialog(self, filters, dialogtitle): """Display an open dialog and return a filename. filters: list of filters in format "Filetype (*.vsz)" """ fd = qt4.QFileDialog(self, dialogtitle) fd.setDirectory(self.dirname) fd.setFileMode( qt4.QFileDialog.ExistingFile ) fd.setAcceptMode( qt4.QFileDialog.AcceptOpen ) fd.setNameFilters(filters) # if the user chooses a file if fd.exec_() == qt4.QDialog.Accepted: # save directory for next time self.dirname = fd.directory().absolutePath() filename = fd.selectedFiles()[0] try: with open(filename): pass except EnvironmentError as e: qt4.QMessageBox.critical( self, _("Error - Veusz"), _("Unable to open '%s'\n\n%s") % (filename, cstrerror(e))) return None return filename return None def slotFileSaveAs(self): """Save As file.""" filters = [_('Veusz document files (*.vsz)')] if h5py is not None: filters += [_('Veusz HDF5 document files (*.vszh5)')] filename = self.fileSaveDialog(filters, _('Save as')) if filename: self.filename = filename self.updateTitlebar() self.slotFileSave() def openFile(self, filename): """Select whether to load the file in the current window or in a blank window and calls the appropriate loader""" if self.document.isBlank(): # If the file is new and there are no modifications, # reuse the current window self.openFileInWindow(filename) else: # create a new window self.CreateWindow(filename) def loadDocument(self, filename): """Load a Veusz document. Return True if loaded ok """ class _unsafeCmdMsgBox(qt4.QMessageBox): """Show document is unsafe.""" def __init__(self, window): qt4.QMessageBox.__init__( self, _("Unsafe code in document"), _("The document '%s' contains potentially unsafe code " "which may damage your computer or data. Please check " "that the file comes from a trusted source.") % filename, qt4.QMessageBox.Warning, qt4.QMessageBox.Yes, qt4.QMessageBox.No | qt4.QMessageBox.Default, qt4.QMessageBox.NoButton, window) self.setButtonText(qt4.QMessageBox.Yes, _("C&ontinue anyway")) self.setButtonText(qt4.QMessageBox.No, _("&Stop loading")) def _callbackunsafe(): qt4.QApplication.restoreOverrideCursor() v = _unsafeCmdMsgBox(self).exec_() qt4.QApplication.setOverrideCursor( qt4.QCursor(qt4.Qt.WaitCursor) ) return v == qt4.QMessageBox.Yes # save stdout and stderr, then redirect to console stdout, stderr = sys.stdout, sys.stderr sys.stdout = self.console.con_stdout sys.stderr = self.console.con_stderr qt4.QApplication.setOverrideCursor( qt4.QCursor(qt4.Qt.WaitCursor) ) try: # get loading mode ext = os.path.splitext(filename)[1].lower() if ext in ('.vsz', '.py'): mode = 'vsz' elif ext in ('.h5', '.hdf5', '.he5', '.vszh5'): mode = 'hdf5' else: raise document.LoadError( _("Did not recognise file type '%s'") % ext) # do the actual loading self.document.load( filename, mode=mode, callbackunsafe=_callbackunsafe) except document.LoadError as e: qt4.QApplication.restoreOverrideCursor() if e.backtrace: d = ErrorLoadingDialog(self, filename, cstr(e), e.backtrace) d.exec_() else: qt4.QMessageBox.critical( self, _("Error opening %s - Veusz") % filename, cstr(e)) return False qt4.QApplication.restoreOverrideCursor() # need to remember to restore stdout, stderr sys.stdout, sys.stderr = stdout, stderr self.documentsetup = True return True def openFileInWindow(self, filename): """Actually do the work of loading a new document. """ ok = self.loadDocument(filename) if not ok: return # remember file for recent list self.addRecentFile(filename) # let the main window know self.filename = filename self.updateTitlebar() self.updateStatusbar(_("Opened %s") % filename) # use current directory of file if not using cwd mode if not setdb['dirname_usecwd']: self.dirname = os.path.dirname( os.path.abspath(filename) ) self.dirname_export = self.dirname # notify cmpts which need notification that doc has finished opening self.documentOpened.emit() def addRecentFile(self, filename): """Add a file to the recent files list.""" recent = setdb['main_recentfiles'] filename = os.path.abspath(filename) if filename in recent: del recent[recent.index(filename)] recent.insert(0, filename) setdb['main_recentfiles'] = recent[:10] self.populateRecentFiles() def slotFileOpen(self): """Open an existing file in a new window.""" filters = ['*.vsz'] if h5py is not None: filters.append('*.vszh5') filename = self.fileOpenDialog( [_('Veusz document files (%s)') % ' '.join(filters)], _('Open')) if filename: self.openFile(filename) def populateRecentFiles(self): """Populate the recently opened files menu with a list of recently opened files""" menu = self.menus["file.filerecent"] menu.clear() newMenuItems = [] if setdb['main_recentfiles']: files = [f for f in setdb['main_recentfiles'] if os.path.isfile(f)] self._openRecentFunctions = [] # add each recent file to menu for i, path in enumerate(files): def fileOpener(filename=path): self.openFile(filename) self._openRecentFunctions.append(fileOpener) newMenuItems.append(('filerecent%i' % i, _('Open File %s') % path, os.path.basename(path), 'file.filerecent', fileOpener, '', False, '')) menu.setEnabled(True) self.recentFileActions = utils.populateMenuToolbars( newMenuItems, self.maintoolbar, self.menus) else: menu.setEnabled(False) def slotFileExport(self): """Export the graph.""" # check there is a page if self.document.getNumberPages() == 0: qt4.QMessageBox.warning(self, _("Error - Veusz"), _("No pages to export")) return # File types we can export to in the form ([extensions], Name) fd = qt4.QFileDialog(self, _('Export page')) fd.setDirectory( self.dirname_export ) fd.setFileMode( qt4.QFileDialog.AnyFile ) fd.setAcceptMode( qt4.QFileDialog.AcceptSave ) # Create a mapping between a format string and extensions filtertoext = {} # convert extensions to filter exttofilter = {} filters = [] # a list of extensions which are allowed validextns = [] formats = document.Export.formats for extns, name in formats: extensions = " ".join(["*." + item for item in extns]) # join eveything together to make a filter string filterstr = '%s (%s)' % (name, extensions) filtertoext[filterstr] = extns for e in extns: exttofilter[e] = filterstr filters.append(filterstr) validextns += extns fd.setNameFilters(filters) # restore last format if possible try: filt = setdb['export_lastformat'] fd.selectNameFilter(filt) extn = formats[filters.index(filt)][0][0] except (KeyError, IndexError, ValueError): extn = 'pdf' fd.selectNameFilter( exttofilter[extn] ) if self.filename: # try to convert current filename to export name filename = os.path.basename(self.filename) filename = os.path.splitext(filename)[0] + '.' + extn fd.selectFile(filename) if fd.exec_() == qt4.QDialog.Accepted: # save directory for next time self.dirname_export = fd.directory().absolutePath() filterused = str(fd.selectedFilter()) setdb['export_lastformat'] = filterused chosenextns = filtertoext[filterused] # show busy cursor qt4.QApplication.setOverrideCursor( qt4.QCursor(qt4.Qt.WaitCursor) ) filename = fd.selectedFiles()[0] # Add a default extension if one isn't supplied # this is the extension without the dot ext = os.path.splitext(filename)[1][1:] if (ext not in validextns) and (ext not in chosenextns): filename += "." + chosenextns[0] export = document.Export( self.document, filename, self.plot.getPageNumber(), bitmapdpi=setdb['export_DPI'], pdfdpi=setdb['export_DPI_PDF'], antialias=setdb['export_antialias'], color=setdb['export_color'], quality=setdb['export_quality'], backcolor=setdb['export_background'], svgtextastext=setdb['export_SVG_text_as_text'], ) try: export.export() except (RuntimeError, EnvironmentError) as e: if isinstance(e, EnvironmentError): msg = cstrerror(e) else: msg = cstr(e) qt4.QApplication.restoreOverrideCursor() qt4.QMessageBox.critical( self, _("Error - Veusz"), _("Error exporting to file '%s'\n\n%s") % (filename, msg)) else: qt4.QApplication.restoreOverrideCursor() def slotFilePrint(self): """Print the document.""" document.printDialog(self, self.document, filename=self.filename) def slotModifiedDoc(self, ismodified): """Disable certain actions if document is not modified.""" # enable/disable file, save menu item self.vzactions['file.save'].setEnabled(ismodified) def slotFileClose(self): """File close window chosen.""" self.close() def slotFileQuit(self): """File quit chosen.""" qt4.qApp.closeAllWindows() def slotUpdatePage(self, number): """Update page number when the plot window says so.""" np = self.document.getNumberPages() if np == 0: self.pagelabel.setText(_("No pages")) else: self.pagelabel.setText(_("Page %i/%i") % (number+1, np)) def slotUpdateAxisValues(self, values): """Update the position where the mouse is relative to the axes.""" if values: # construct comma separated text representing axis values valitems = [ '%s=%#.4g' % (name, values[name]) for name in sorted(values) ] self.axisvalueslabel.setText(', '.join(valitems)) else: self.axisvalueslabel.setText(_('No position')) def slotPickerEnabled(self, enabled): if enabled: self.pickerlabel.setText(_('No point selected')) self.pickerlabel.show() else: self.pickerlabel.hide() def slotUpdatePickerLabel(self, info): """Display the picked point""" xv, yv = info.coords xn, yn = info.labels xt, yt = info.displaytype ix = str(info.index) if ix: ix = '[' + ix + ']' # format values for display def fmt(val, dtype): if dtype == 'date': return utils.dateFloatToString(val) elif dtype == 'numeric': return '%0.5g' % val elif dtype == 'text': return val else: raise RuntimeError xtext = fmt(xv, xt) ytext = fmt(yv, yt) t = '%s: %s%s = %s, %s%s = %s' % ( info.widget.name, xn, ix, xtext, yn, ix, ytext) self.pickerlabel.setText(t) if setdb['picker_to_console']: self.console.appendOutput(t + "\n", 'error') if setdb['picker_to_clipboard']: clipboard = qt4.QApplication.clipboard() if clipboard.mimeData().hasText(): clipboard.setText(clipboard.text()+"\n"+t) else: qt4.QApplication.clipboard().setText(t) def slotAllowedImportsDoc(self, module, names): """Are allowed imports?""" d = SafetyImportDialog(self, module, names) d.exec_() veusz-1.21.1/veusz/plugins/0000775000175000017500000000000012376130063013770 5ustar jssjssveusz-1.21.1/veusz/plugins/datasetplugin.py0000664000175000017500000020661412376130006017214 0ustar jssjss# -*- coding: utf-8 -*- # Copyright (C) 2010 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """Plugins for creating datasets.""" from __future__ import division import numpy as N from . import field from ..compat import czip, citems, cstr from .. import utils try: from ..helpers import qtloops except ImportError: pass from .. import qtall as qt4 def _(text, disambiguation=None, context='DatasetPlugin'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) # add an instance of your class to this list to be registered datasetpluginregistry = [] class DatasetPluginException(RuntimeError): """Raise this to report an error. """ pass def numpyCopyOrNone(data): """If data is None return None Otherwise return a numpy array corresponding to data.""" if data is None: return None return N.array(data, dtype=N.float64) # these classes are returned from dataset plugins class Dataset1D(object): """1D dataset for ImportPlugin or DatasetPlugin.""" def __init__(self, name, data=[], serr=None, perr=None, nerr=None): """1D dataset name: name of dataset data: data in dataset: list of floats or numpy 1D array serr: (optional) symmetric errors on data: list or numpy array perr: (optional) positive errors on data: list or numpy array nerr: (optional) negative errors on data: list or numpy array If errors are returned for data give serr or nerr and perr. nerr should be negative values if used. perr should be positive values if used. """ self.name = name self.update(data=data, serr=serr, perr=perr, nerr=nerr) def update(self, data=[], serr=None, perr=None, nerr=None): """Update values to those given.""" self.data = numpyCopyOrNone(data) self.serr = numpyCopyOrNone(serr) self.perr = numpyCopyOrNone(perr) self.nerr = numpyCopyOrNone(nerr) def _null(self): """Empty data contents.""" self.data = N.array([]) self.serr = self.perr = self.nerr = None def _makeVeuszDataset(self, manager): """Make a Veusz dataset from the plugin dataset.""" # need to do the import here as otherwise we get a loop from .. import document return document.Dataset1DPlugin(manager, self) class Dataset2D(object): """2D dataset for ImportPlugin or DatasetPlugin.""" def __init__(self, name, data=[[]], rangex=None, rangey=None, xedge=None, yedge=None, xcent=None, ycent=None): """2D dataset. name: name of dataset data: 2D numpy array of values or list of lists of floats rangex: optional tuple with X range of data (min, max) rangey: optional tuple with Y range of data (min, max) xedge: x values for grid (instead of rangex) yedge: y values for grid (instead of rangey) xcent: x values for pixel centres (instead of rangex) ycent: y values for pixel centres (instead of rangey) """ self.name = name self.update(data=data, rangex=rangex, rangey=rangey, xedge=xedge, yedge=yedge, xcent=xcent, ycent=ycent) def update(self, data=[[]], rangex=None, rangey=None, xedge=None, yedge=None, xcent=None, ycent=None): self.data = N.array(data, dtype=N.float64) self.rangex = rangex self.rangey = rangey self.xedge = xedge self.yedge = yedge self.xcent = xcent self.ycent = ycent def _null(self): """Empty data contents.""" self.data = N.array([[]]) self.rangex = self.rangey = (0, 1) self.xedge = self.yedge = self.xcent = self.ycent = None def _makeVeuszDataset(self, manager): """Make a Veusz dataset from the plugin dataset.""" from .. import document return document.Dataset2DPlugin(manager, self) class DatasetDateTime(object): """Date-time dataset for ImportPlugin or DatasetPlugin.""" def __init__(self, name, data=[]): """A date dataset name: name of dataset data: list of datetime objects """ self.name = name self.update(data=data) def update(self, data=[]): self.data = N.array(data) @staticmethod def datetimeToFloat(datetimeval): """Return a python datetime object to the required float type.""" return utils.datetimeToFloat(datetimeval) @staticmethod def dateStringToFloat(text): """Try to convert an iso or local date time to the float type.""" return utils.dateStringToDate(text) @staticmethod def floatToDateTime(val): """Convert float format datetime to Python datetime.""" return utils.floatToDateTime(val) def _null(self): """Empty data contents.""" self.data = N.array([]) def _makeVeuszDataset(self, manager): """Make a Veusz dataset from the plugin dataset.""" from .. import document return document.DatasetDateTimePlugin(manager, self) class DatasetText(object): """Text dataset for ImportPlugin or DatasetPlugin.""" def __init__(self, name, data=[]): """A text dataset name: name of dataset data: data in dataset: list of strings """ self.name = name self.update(data=data) def update(self, data=[]): self.data = list(data) def _null(self): """Empty data contents.""" self.data = [] def _makeVeuszDataset(self, manager): """Make a Veusz dataset from the plugin dataset.""" from .. import document return document.DatasetTextPlugin(manager, self) class Constant(object): """Dataset to return to set a Veusz constant after import. This is only useful in an ImportPlugin, not a DatasetPlugin """ def __init__(self, name, val): """Map string value val to name. Convert float vals to strings first!""" self.name = name self.val = val class Function(object): """Dataset to return to set a Veusz function after import.""" def __init__(self, name, val): """Map string value val to name. name is "funcname(param,...)", val is a text expression of param. This is only useful in an ImportPlugin, not a DatasetPlugin """ self.name = name self.val = val # class to pass to plugin to give parameters class DatasetPluginHelper(object): """Helpers to get existing datasets for plugins.""" def __init__(self, doc): """Construct helper object to pass to DatasetPlugins.""" self._doc = doc @property def datasets1d(self): """Return list of existing 1D numeric datasets""" return [name for name, ds in citems(self._doc.data) if (ds.dimensions == 1 and ds.datatype == 'numeric')] @property def datasets2d(self): """Return list of existing 2D numeric datasets""" return [name for name, ds in citems(self._doc.data) if (ds.dimensions == 2 and ds.datatype == 'numeric')] @property def datasetstext(self): """Return list of existing 1D text datasets""" return [name for name, ds in citems(self._doc.data) if (ds.dimensions == 1 and ds.datatype == 'text')] @property def datasetsdatetime(self): """Return list of existing date-time datesets""" from .. import document return [name for name, ds in citems(self._doc.data) if isinstance(ds, document.DatasetDateTime)] @property def locale(self): """Return Qt locale.""" return self._doc.locale def evaluateExpression(self, expr, part='data'): """Return results of evaluating a 1D dataset expression. part is 'data', 'serr', 'perr' or 'nerr' - these are the dataset parts which are evaluated by the expression Returns None if expression could not be evaluated. """ ds = self._doc.evalDatasetExpression(expr, part=part) if ds is not None: return ds.data else: return None def getDataset(self, name, dimensions=1): """Return numerical dataset object for name given. Please make sure that dataset data are not modified. name: name of dataset dimensions: number of dimensions dataset requires name not found: raise a DatasetPluginException dimensions not right: raise a DatasetPluginException """ from .. import document try: ds = self._doc.data[name] except KeyError: raise DatasetPluginException(_("Unknown dataset '%s'") % name) if ds.dimensions != dimensions: raise DatasetPluginException( _("Dataset '%s' does not have %i dimensions") % ( name, dimensions)) if ds.datatype != 'numeric': raise DatasetPluginException( _("Dataset '%s' is not a numerical dataset") % name) if isinstance(ds, document.DatasetDateTime): return DatasetDateTime(name, data=ds.data) elif ds.dimensions == 1: return Dataset1D(name, data=ds.data, serr=ds.serr, perr=ds.perr, nerr=ds.nerr) elif ds.dimensions == 2: return Dataset2D(name, ds.data, xrange=ds.xrange, yrange=ds.yrange, xedge=ds.xedge, yedge=ds.yedge, xcent=ds.xcent, ycent=ds.ycent) else: raise RuntimeError("Invalid number of dimensions in dataset") def getDatasets(self, names, dimensions=1): """Get a list of numerical datasets (of the dimension given).""" return [ self.getDataset(n, dimensions=dimensions) for n in names ] def getTextDataset(self, name): """Return a text dataset with name given. Do not modify this dataset. name not found: raise a DatasetPluginException """ try: ds = self._doc.data[name] except KeyError: raise DatasetPluginException(_("Unknown dataset '%s'") % name) if ds.datatype == 'text': return DatasetText(name, ds.data) raise DatasetPluginException(_("Dataset '%s' is not a text datset") % name) # internal object to synchronise datasets created by a plugin class DatasetPluginManager(object): """Manage datasets generated by plugin.""" def __init__(self, plugin, doc, fields): """Construct manager object. plugin - instance of plugin class doc - document instance fields - fields to pass to plugin """ self.plugin = plugin self.document = doc self.helper = DatasetPluginHelper(doc) self.fields = dict(fields) self.changeset = -1 self.fixMissingFields() self.setupDatasets() def fixMissingFields(self): """If fields are missing, use defaults.""" for pluginfield in self.plugin.fields: if pluginfield.name not in self.fields: self.fields[pluginfield.name] = pluginfield.default def setupDatasets(self): """Do initial construction of datasets.""" self.datasetnames = [] self.datasets = [] self.veuszdatasets = [] self.datasets = self.plugin.getDatasets(self.fields) for ds in self.datasets: self.datasetnames.append(ds.name) veuszds = ds._makeVeuszDataset(self) veuszds.document = self.document self.veuszdatasets.append(veuszds) def nullDatasets(self): """Clear out contents of datasets.""" for ds in self.datasets: ds._null() def saveToFile(self, fileobj): """Save command to load in plugin and parameters.""" args = [ repr(self.plugin.name), repr(self.fields) ] # look for renamed or deleted datasets names = {} for ds, dsname in czip( self.veuszdatasets, self.datasetnames ): try: currentname = self.document.datasetName(ds) except ValueError: # deleted currentname = None if currentname != dsname: names[dsname] = currentname if names: args.append( "datasetnames="+repr(names) ) fileobj.write( 'DatasetPlugin(%s)\n' % (', '.join(args)) ) def update(self, raiseerrors=False): """Update created datasets. if raiseerrors is True, raise an exception if there is an exeception when updating the dataset """ if self.document.changeset == self.changeset: return self.changeset = self.document.changeset # run the plugin with its parameters try: self.plugin.updateDatasets(self.fields, self.helper) except DatasetPluginException as ex: # this is for immediate notification if raiseerrors: raise # otherwise if there's an error, then log and null outputs self.document.log( cstr(ex) ) self.nullDatasets() class DatasetPlugin(object): """Base class for defining dataset plugins.""" # the plugin will get inserted into the menu in a hierarchy based on # the elements of this tuple menu = ('Base plugin',) name = 'Base plugin' author = '' description_short = '' description_full = '' # if the plugin takes no parameters, set this to False has_parameters = True def __init__(self): """Override this to declare a list of input fields if required.""" self.fields = [] def getDatasets(self, fields): """Override this to return a list of (empty) Dataset1D, Dataset2D and DatasetText objects to provide the initial names and type of datasets. These should be saved for updating in updateDatasets. fields: dict of results to the field objects given in self.fields raise a DatasetPluginException if there is a problem with fields """ return [] def updateDatasets(self, fields, helper): """Override this to update the dataset objects provided by this plugin. fields: dict of field results (also provided to setup) helper: DatasetPluginHelper object, to get other datasets in document raise a DatasetPluginException if there is a problem """ class _OneOutputDatasetPlugin(DatasetPlugin): """Simplify plugins which create one output with field ds_out.""" def getDatasets(self, fields): """Returns single output dataset (self.dsout).""" if fields['ds_out'] == '': raise DatasetPluginException(_('Invalid output dataset name')) self.dsout = Dataset1D(fields['ds_out']) return [self.dsout] def errorBarType(ds): """Return type of error bars in list of datasets. 'none', 'symmetric', 'asymmetric' """ symerr = False for d in ds: if d.serr is not None: symerr = True elif d.perr is not None or d.nerr is not None: return 'asymmetric' if symerr: return 'symmetric' return 'none' def combineAddedErrors(inds, length): """Combine error bars from list of input dataset, adding errors squared (suitable for adding/subtracting).""" errortype = errorBarType(inds) serr = perr = nerr = None if errortype == 'symmetric': serr = N.zeros(length, dtype=N.float64) elif errortype == 'asymmetric': perr = N.zeros(length, dtype=N.float64) nerr = N.zeros(length, dtype=N.float64) for d in inds: f = N.isfinite(d.data) if errortype == 'symmetric' and d.serr is not None: serr[f] += d.serr[f]**2 elif errortype == 'asymmetric': if d.serr is not None: v = (d.serr[f])**2 perr[f] += v nerr[f] += v if d.perr is not None: perr[f] += (d.perr[f])**2 if d.nerr is not None: nerr[f] += (d.nerr[f])**2 if serr is not None: serr = N.sqrt(serr) if perr is not None: perr = N.sqrt(perr) if nerr is not None: nerr = -N.sqrt(nerr) return serr, perr, nerr def combineMultipliedErrors(inds, length, data): """Combine error bars from list of input dataset, adding fractional errors squared (suitable for multipling/dividing).""" errortype = errorBarType(inds) serr = perr = nerr = None if errortype == 'symmetric': serr = N.zeros(length, dtype=N.float64) elif errortype == 'asymmetric': perr = N.zeros(length, dtype=N.float64) nerr = N.zeros(length, dtype=N.float64) for d in inds: f = N.isfinite(d.data) if len(f) > length: f = f[:length] if errortype == 'symmetric' and d.serr is not None: serr[f] += (d.serr[f]/d.data[f])**2 elif errortype == 'asymmetric': if d.serr is not None: v = (d.serr[f]/d.data[f])**2 perr[f] += v nerr[f] += v if d.perr is not None: perr[f] += (d.perr[f]/d.data[f])**2 if d.nerr is not None: nerr[f] += (d.nerr[f]/d.data[f])**2 if serr is not None: serr = N.abs(N.sqrt(serr) * data) if perr is not None: perr = N.abs(N.sqrt(perr) * data) if nerr is not None: nerr = -N.abs(N.sqrt(nerr) * data) return serr, perr, nerr ########################################################################### ## Real plugins are below class MultiplyDatasetPlugin(_OneOutputDatasetPlugin): """Dataset plugin to scale a dataset.""" menu = (_('Multiply'), _('By constant'),) name = 'Multiply' description_short = _('Multiply dataset by a constant') description_full = _('Multiply a dataset by a factor. ' 'Error bars are also scaled.') def __init__(self): """Define fields.""" self.fields = [ field.FieldDataset('ds_in', _('Input dataset')), field.FieldFloat('factor', _('Factor'), default=1.), field.FieldDataset('ds_out', _('Output dataset name')), ] def updateDatasets(self, fields, helper): """Do scaling of dataset.""" ds_in = helper.getDataset(fields['ds_in']) f = fields['factor'] data, serr, perr, nerr = ds_in.data, ds_in.serr, ds_in.perr, ds_in.nerr data = data * f if serr is not None: serr = serr * f if perr is not None: perr = perr * f if nerr is not None: nerr = nerr * f self.dsout.update(data=data, serr=serr, perr=perr, nerr=nerr) class AddDatasetPlugin(_OneOutputDatasetPlugin): """Dataset plugin to add a constant to a dataset.""" menu = (_('Add'), _('Constant'),) name = 'Add' description_short = _('Add a constant to a dataset') description_full = _('Add a dataset by adding a value. ' 'Error bars remain the same.') def __init__(self): """Define fields.""" self.fields = [ field.FieldDataset('ds_in', _('Input dataset')), field.FieldFloat('value', _('Add value'), default=0.), field.FieldDataset('ds_out', _('Output dataset name')), ] def updateDatasets(self, fields, helper): """Do shifting of dataset.""" ds_in = helper.getDataset(fields['ds_in']) self.dsout.update(data = ds_in.data + fields['value'], serr=ds_in.serr, perr=ds_in.perr, nerr=ds_in.nerr) class ConcatenateDatasetPlugin(_OneOutputDatasetPlugin): """Dataset plugin to concatenate datasets.""" menu = (_('Join'), _('Concatenate'),) name = 'Concatenate' description_short = _('Concatenate datasets') description_full = _('Concatenate datasets into single dataset.\n' 'Error bars are merged.') def __init__(self): """Define fields.""" self.fields = [ field.FieldDatasetMulti('ds_in', _('Input datasets')), field.FieldDataset('ds_out', _('Output dataset name')), ] def updateDatasets(self, fields, helper): """Do concatenation of dataset.""" dsin = helper.getDatasets(fields['ds_in']) if len(dsin) == 0: raise DatasetPluginException(_('Requires one or more input datasets')) # concatenate main data dstack = N.hstack([d.data for d in dsin]) sstack = pstack = nstack = None # what sort of error bars do we need? errortype = errorBarType(dsin) if errortype == 'symmetric': # symmetric and not asymmetric error bars sstack = [] for d in dsin: if d.serr is not None: sstack.append(d.serr) else: sstack.append(N.zeros(d.data.shape, dtype=N.float64)) sstack = N.hstack(sstack) elif errortype == 'asymmetric': # asymmetric error bars pstack = [] nstack = [] for d in dsin: p = n = N.zeros(d.data.shape, dtype=N.float64) if d.serr is not None: p, n = d.serr, -d.serr else: if d.perr is not None: p = d.perr if d.nerr is not None: n = d.nerr pstack.append(p) nstack.append(n) pstack = N.hstack(pstack) nstack = N.hstack(nstack) self.dsout.update(data=dstack, serr=sstack, perr=pstack, nerr=nstack) class InterleaveDatasetPlugin(_OneOutputDatasetPlugin): """Dataset plugin to interleave datasets.""" menu = (_('Join'), _('Element by element'),) name = 'Interleave' description_short = _('Join datasets, interleaving element by element') description_full = _('Join datasets, interleaving element by element.\n' 'Error bars are merged.') def __init__(self): """Define fields.""" self.fields = [ field.FieldDatasetMulti('ds_in', _('Input datasets')), field.FieldDataset('ds_out', _('Output dataset name')), ] def updateDatasets(self, fields, helper): """Do concatenation of dataset.""" dsin = helper.getDatasets(fields['ds_in']) if len(dsin) == 0: raise DatasetPluginException(_('Requires one or more input datasets')) maxlength = max( [len(d.data) for d in dsin] ) def interleave(datasets): """This is complex to account for different length datasets.""" # stick in columns ds = [ N.hstack( (d, N.zeros(maxlength-len(d))) ) for d in datasets ] # which elements are valid good = [ N.hstack( (N.ones(len(d), dtype=N.bool), N.zeros(maxlength-len(d), dtype=N.bool)) ) for d in datasets ] intl = N.column_stack(ds).reshape(maxlength*len(datasets)) goodintl = N.column_stack(good).reshape(maxlength*len(datasets)) return intl[goodintl] # do interleaving data = interleave([d.data for d in dsin]) # interleave error bars errortype = errorBarType(dsin) serr = perr = nerr = None if errortype == 'symmetric': slist = [] for ds in dsin: if ds.serr is None: slist.append(N.zeros_like(ds.data)) else: slist.append(ds.serr) serr = interleave(slist) elif errortype == 'asymmetric': plist = [] nlist = [] for ds in dsin: if ds.serr is not None: plist.append(ds.serr) nlist.append(-ds.serr) else: if ds.perr is not None: plist.append(ds.perr) else: plist.append(N.zeros_like(ds.data)) if ds.nerr is not None: nlist.append(ds.nerr) else: nlist.append(N.zeros_like(ds.data)) perr = interleave(plist) nerr = interleave(nlist) # finally update self.dsout.update(data=data, serr=serr, nerr=nerr, perr=perr) class ChopDatasetPlugin(_OneOutputDatasetPlugin): """Dataset plugin to chop datasets.""" menu = (_('Split'), _('Chop'),) name = 'Chop' description_short = _('Chop dataset part into new dataset') description_full = _('Chop out a section of a dataset. Give starting ' 'index of data and number of datapoints to take.') def __init__(self): """Define fields.""" self.fields = [ field.FieldDataset('ds_in', _('Input dataset')), field.FieldInt('start', _('Starting index (from 1)'), default=1), field.FieldInt('num', _('Maximum number of datapoints'), default=1), field.FieldDataset('ds_out', _('Output dataset name')), ] def updateDatasets(self, fields, helper): """Do chopping of dataset.""" ds_in = helper.getDataset(fields['ds_in']) start = fields['start'] num = fields['num'] data, serr, perr, nerr = ds_in.data, ds_in.serr, ds_in.perr, ds_in.nerr # chop the data data = data[start-1:start-1+num] if serr is not None: serr = serr[start-1:start-1+num] if perr is not None: perr = perr[start-1:start-1+num] if nerr is not None: nerr = nerr[start-1:start-1+num] self.dsout.update(data=data, serr=serr, perr=perr, nerr=nerr) class PartsDatasetPlugin(DatasetPlugin): """Dataset plugin to split datasets into parts.""" menu = (_('Split'), _('Parts'),) name = 'Parts' description_short = _('Split dataset into equal-size parts') description_full = _('Split dataset into equal-size parts. ' 'The parts will differ in size if the dataset ' 'cannot be split equally.') def __init__(self): """Define fields.""" self.fields = [ field.FieldDataset('ds_in', _('Input dataset')), field.FieldDatasetMulti('ds_out', _('Output datasets')), ] def getDatasets(self, fields): """Get output datasets.""" self.dsout = [] for d in fields['ds_out']: if d.strip() != '': self.dsout.append( Dataset1D(d.strip()) ) if len(self.dsout) == 0: raise DatasetPluginException(_('Needs at least one output dataset')) return self.dsout def updateDatasets(self, fields, helper): """Do chopping of dataset.""" ds_in = helper.getDataset(fields['ds_in']) data, serr, perr, nerr = ds_in.data, ds_in.serr, ds_in.perr, ds_in.nerr plen = len(data) / len(self.dsout) for i, ds in enumerate(self.dsout): minv, maxv = int(plen*i), int(plen*(i+1)) pserr = pperr = pnerr = None pdata = data[minv:maxv] if serr is not None: pserr = serr[minv:maxv] if perr is not None: pperr = perr[minv:maxv] if nerr is not None: pnerr = nerr[minv:maxv] ds.update(data=pdata, serr=pserr, perr=pperr, nerr=pnerr) class ThinDatasetPlugin(_OneOutputDatasetPlugin): """Dataset plugin to thin datasets.""" menu = (_('Split'), _('Thin'),) name = 'Thin' description_short = _('Select data points at intervals from dataset') description_full = _('Select data points at intervals from dataset ' 'to create new dataset') def __init__(self): """Define fields.""" self.fields = [ field.FieldDataset('ds_in', _('Input dataset')), field.FieldInt('start', _('Starting index (from 1)'), default=1), field.FieldInt('interval', _('Interval between data points'), default=1), field.FieldDataset('ds_out', _('Output dataset name')), ] def updateDatasets(self, fields, helper): """Do thinning of dataset.""" ds_in = helper.getDataset(fields['ds_in']) start = fields['start'] interval = fields['interval'] data, serr, perr, nerr = ds_in.data, ds_in.serr, ds_in.perr, ds_in.nerr data = data[start-1::interval] if serr is not None: serr = serr[start-1::interval] if perr is not None: perr = perr[start-1::interval] if nerr is not None: nerr = nerr[start-1::interval] self.dsout.update(data=data, serr=serr, perr=perr, nerr=nerr) class MeanDatasetPlugin(_OneOutputDatasetPlugin): """Dataset plugin to mean datasets together.""" menu = (_('Compute'), _('Mean of datasets'),) name = 'Mean' description_short = _('Compute mean of datasets') description_full = _('Compute mean of multiple datasets to create ' 'a single dataset.') def __init__(self): """Define fields.""" self.fields = [ field.FieldDatasetMulti('ds_in', _('Input datasets')), field.FieldDataset('ds_out', _('Output dataset name')), ] def updateDatasets(self, fields, helper): """Compute means of dataset.""" inds = helper.getDatasets(fields['ds_in']) if len(inds) == 0: raise DatasetPluginException(_('Requires one or more input datasets')) maxlength = max( [len(d.data) for d in inds] ) # mean data (only use finite values) tot = N.zeros(maxlength, dtype=N.float64) num = N.zeros(maxlength, dtype=N.int) for d in inds: f = N.isfinite(d.data) tot[f] += d.data[f] num[f] += 1 data = tot / num def averageError(errtype, fallback=None): """Get average for an error value.""" tot = N.zeros(maxlength, dtype=N.float64) num = N.zeros(maxlength, dtype=N.int) for d in inds: vals = getattr(d, errtype) if vals is None and fallback: vals = getattr(d, fallback) # add values if not missing if vals is not None: f = N.isfinite(vals) tot[f] += (vals[f]) ** 2 num[f] += 1 else: # treat as zero errors if missing errors num[:len(d.data)] += 1 return N.sqrt(tot) / num # do error bar handling serr = perr = nerr = None errortype = errorBarType(inds) if errortype == 'symmetric': serr = averageError('serr') elif errortype == 'asymmetric': perr = averageError('perr', fallback='serr') nerr = -averageError('nerr', fallback='serr') self.dsout.update(data=data, serr=serr, perr=perr, nerr=nerr) class AddDatasetsPlugin(_OneOutputDatasetPlugin): """Dataset plugin to mean datasets together.""" menu = (_('Add'), _('Datasets'),) name = 'Add Datasets' description_short = _('Add two or more datasets together') description_full = _('Add datasets together to make a single dataset. ' 'Error bars are combined.') def __init__(self): """Define fields.""" self.fields = [ field.FieldDatasetMulti('ds_in', _('Input datasets')), field.FieldDataset('ds_out', _('Output dataset name')), ] def updateDatasets(self, fields, helper): """Compute means of dataset.""" inds = helper.getDatasets(fields['ds_in']) if len(inds) == 0: raise DatasetPluginException(_('Requires one or more input datasets')) maxlength = max( [len(d.data) for d in inds] ) # add data where finite data = N.zeros(maxlength, dtype=N.float64) anyfinite = N.zeros(maxlength, dtype=N.bool) for d in inds: f = N.isfinite(d.data) data[f] += d.data[f] anyfinite[f] = True data[N.logical_not(anyfinite)] = N.nan # handle error bars serr, perr, nerr = combineAddedErrors(inds, maxlength) # update output dataset self.dsout.update(data=data, serr=serr, perr=perr, nerr=nerr) class SubtractDatasetPlugin(_OneOutputDatasetPlugin): """Dataset plugin to subtract two datasets.""" menu = (_('Subtract'), _('Datasets'),) name = 'Subtract Datasets' description_short = _('Subtract two datasets') description_full = _('Subtract two datasets. ' 'Combined error bars are also calculated.') def __init__(self): """Define fields.""" self.fields = [ field.FieldDataset('ds_in1', _('Input dataset 1')), field.FieldDataset('ds_in2', _('Input dataset 2')), field.FieldDataset('ds_out', _('Output dataset name')), ] def updateDatasets(self, fields, helper): """Do scaling of dataset.""" dsin1 = helper.getDataset(fields['ds_in1']) dsin2 = helper.getDataset(fields['ds_in2']) minlength = min( len(dsin1.data), len(dsin2.data) ) data = dsin1.data[:minlength] - dsin2.data[:minlength] # computing error bars is non trivial! serr = perr = nerr = None errortype = errorBarType([dsin1, dsin2]) if errortype == 'symmetric': serr1 = serr2 = 0 if dsin1.serr is not None: serr1 = dsin1.serr[:minlength] if dsin2.serr is not None: serr2 = dsin2.serr[:minlength] serr = N.sqrt(serr1**2 + serr2**2) elif errortype == 'asymmetric': perr1 = perr2 = nerr1 = nerr2 = 0 if dsin1.serr is not None: perr1 = nerr1 = dsin1.serr[:minlength] else: if dsin1.perr is not None: perr1 = dsin1.perr[:minlength] if dsin1.nerr is not None: nerr1 = dsin1.nerr[:minlength] if dsin2.serr is not None: perr2 = nerr2 = dsin2.serr[:minlength] else: if dsin2.perr is not None: perr2 = dsin2.perr[:minlength] if dsin2.nerr is not None: nerr2 = dsin2.nerr[:minlength] perr = N.sqrt(perr1**2 + nerr2**2) nerr = -N.sqrt(nerr1**2 + perr2**2) self.dsout.update(data=data, serr=serr, perr=perr, nerr=nerr) class SubtractMeanDatasetPlugin(_OneOutputDatasetPlugin): """Dataset plugin to subtract mean from dataset.""" menu = (_('Subtract'), _('Mean'),) name = 'Subtract Mean' description_short = _('Subtract mean from dataset') description_full = _('Subtract mean from dataset,' ' optionally dividing by standard deviation.') def __init__(self): """Define fields.""" self.fields = [ field.FieldDataset('ds_in', _('Input dataset 1')), field.FieldBool('divstddev', _('Divide by standard deviation')), field.FieldDataset('ds_out', _('Output dataset name')), ] def updateDatasets(self, fields, helper): """Do scaling of dataset.""" dsin = helper.getDataset(fields['ds_in']) vals = dsin.data mean = vals[N.isfinite(vals)].mean() vals = vals - mean if fields['divstddev']: vals /= vals[N.isfinite(vals)].std() self.dsout.update( data=vals, serr=dsin.serr, perr=dsin.perr, nerr=dsin.nerr) class SubtractMinimumDatasetPlugin(_OneOutputDatasetPlugin): """Dataset plugin to subtract minimum from dataset.""" menu = (_('Subtract'), _('Minimum'),) name = 'Subtract Minimum' description_short = _('Subtract minimum from dataset') description_full = _('Subtract the minimum value from a dataset') def __init__(self): """Define fields.""" self.fields = [ field.FieldDataset('ds_in', _('Input dataset 1')), field.FieldDataset('ds_out', _('Output dataset name')), ] def updateDatasets(self, fields, helper): """Do scaling of dataset.""" dsin = helper.getDataset(fields['ds_in']) vals = dsin.data minval = vals[N.isfinite(vals)].min() vals = vals - minval self.dsout.update( data=vals, serr=dsin.serr, perr=dsin.perr, nerr=dsin.nerr) class MultiplyDatasetsPlugin(_OneOutputDatasetPlugin): """Dataset plugin to multiply two or more datasets.""" menu = (_('Multiply'), _('Datasets'),) name = 'Multiply Datasets' description_short = _('Multiply two or more datasets') description_full = _('Multiply two or more datasets. ' 'Combined error bars are also calculated.') def __init__(self): """Define fields.""" self.fields = [ field.FieldDatasetMulti('ds_in', _('Input datasets')), field.FieldDataset('ds_out', _('Output dataset name')), ] def updateDatasets(self, fields, helper): """Multiply the datasets.""" names = fields['ds_in'] inds = [ helper.getDataset(d) for d in names ] maxlength = max( [d.data.shape[0] for d in inds] ) # output data and where data is finite data = N.ones(maxlength, dtype=N.float64) anyfinite = N.zeros(maxlength, dtype=N.bool) for d in inds: f = N.isfinite(d.data) anyfinite[f] = True data[f] *= d.data[f] # where always NaN, make NaN data[N.logical_not(anyfinite)] = N.nan # get error bars serr, perr, nerr = combineMultipliedErrors(inds, maxlength, data) self.dsout.update(data=data, serr=serr, perr=perr, nerr=nerr) class DivideDatasetsPlugin(_OneOutputDatasetPlugin): """Dataset plugin to divide two datasets.""" menu = (_('Divide'), _('Datasets'),) name = 'Divide Datasets' description_short = _('Compute ratio or fractional difference' ' between two datasets') description_full = _('Divide or compute fractional difference' ' between two datasets') def __init__(self): """Define fields.""" self.fields = [ field.FieldDataset('ds_in1', _('Input dataset 1')), field.FieldDataset('ds_in2', _('Input dataset 2')), field.FieldBool('frac', _('Compute fractional difference'), default=False), field.FieldDataset('ds_out', _('Output dataset name')), ] def updateDatasets(self, fields, helper): """Compute ratio.""" inds1 = helper.getDataset( fields['ds_in1'] ) inds2 = helper.getDataset( fields['ds_in2'] ) length = min( len(inds1.data), len(inds2.data) ) # compute ratio data = inds1.data[:length] / inds2.data[:length] # get error bars serr, perr, nerr = combineMultipliedErrors([inds1, inds2], length, data) # convert to fractional difference (if reqd) if fields['frac']: data -= 1 self.dsout.update(data=data, serr=serr, perr=perr, nerr=nerr) class DivideMaxPlugin(_OneOutputDatasetPlugin): """Plugin to divide by maximum of dataset.""" menu = (_('Divide'), _('By maximum'),) name = 'Divide Maximum' description_short = description_full = _('Divide dataset by its maximum') def __init__(self): """Define fields.""" self.fields = [ field.FieldDataset('ds_in', _('Input dataset')), field.FieldDataset('ds_out', _('Output dataset name')), ] def updateDatasets(self, fields, helper): inds = helper.getDataset( fields['ds_in'] ) maxval = N.nanmax( inds.data ) # divide data data = inds.data / maxval # divide error bars serr = perr = nerr = None if inds.serr: serr = inds.serr / maxval if inds.perr: perr = inds.perr / maxval if inds.nerr: nerr = inds.nerr / maxval self.dsout.update(data=data, serr=serr, perr=perr, nerr=nerr) class DivideNormalizePlugin(_OneOutputDatasetPlugin): """Plugin to normalize dataset.""" menu = (_('Divide'), _('Normalize'),) name = 'Normalize' description_short = description_full = _( 'Divide dataset by its sum of values') def __init__(self): """Define fields.""" self.fields = [ field.FieldDataset('ds_in', _('Input dataset')), field.FieldDataset('ds_out', _('Output dataset name')), ] def updateDatasets(self, fields, helper): inds = helper.getDataset( fields['ds_in'] ) tot = N.nansum( inds.data ) # divide data data = inds.data / tot # divide error bars serr = perr = nerr = None if inds.serr: serr = inds.serr / tot if inds.perr: perr = inds.perr / tot if inds.nerr: nerr = inds.nerr / tot self.dsout.update(data=data, serr=serr, perr=perr, nerr=nerr) class ExtremesDatasetPlugin(DatasetPlugin): """Dataset plugin to get extremes of dataset.""" menu = (_('Compute'), _('Dataset extremes'),) name = 'Extremes' description_short = _('Compute extreme values of input datasets') description_full = _('Compute extreme values of input datasets. Creates ' 'minimum and maximum datasets.') def __init__(self): """Define fields.""" self.fields = [ field.FieldDatasetMulti('ds_in', _('Input datasets')), field.FieldBool('errorbars', _('Include error bars')), field.FieldDataset('ds_min', _('Output minimum dataset (optional)')), field.FieldDataset('ds_max', _('Output maximum dataset (optional)')), field.FieldDataset('ds_errorbar', _('Output range as error bars ' 'in dataset (optional)')), ] def getDatasets(self, fields): """Returns output dataset.""" dsout = [] self.dsmin = self.dsmax = self.dserror = None if fields['ds_min'] != '': self.dsmin = Dataset1D(fields['ds_min']) dsout.append(self.dsmin) if fields['ds_max'] != '': self.dsmax = Dataset1D(fields['ds_max']) dsout.append(self.dsmax) if fields['ds_errorbar'] != '': self.dserror = Dataset1D(fields['ds_errorbar']) dsout.append(self.dserror) if not dsout: raise DatasetPluginException(_('Provide at least one output dataset')) return dsout def updateDatasets(self, fields, helper): """Compute extremes of datasets.""" names = fields['ds_in'] inds = [ helper.getDataset(d) for d in names ] maxlength = max( [d.data.shape[0] for d in inds] ) minvals = N.zeros(maxlength, dtype=N.float64) + 1e100 maxvals = N.zeros(maxlength, dtype=N.float64) - 1e100 anyfinite = N.zeros(maxlength, dtype=N.bool) for d in inds: f = N.isfinite(d.data) anyfinite[f] = True v = d.data if fields['errorbars']: if d.serr is not None: v = v - d.serr elif d.nerr is not None: v = v + d.nerr minvals[f] = N.min( (minvals[f], v[f]), axis=0 ) v = d.data if fields['errorbars']: if d.serr is not None: v = v + d.serr elif d.perr is not None: v = v + d.perr maxvals[f] = N.max( (maxvals[f], v[f]), axis=0 ) minvals[N.logical_not(anyfinite)] = N.nan maxvals[N.logical_not(anyfinite)] = N.nan if self.dsmin is not None: self.dsmin.update(data=minvals) if self.dsmax is not None: self.dsmax.update(data=maxvals) if self.dserror is not None: # compute mean and look at differences from it tot = N.zeros(maxlength, dtype=N.float64) num = N.zeros(maxlength, dtype=N.int) for d in inds: f = N.isfinite(d.data) tot[f] += d.data[f] num[f] += 1 mean = tot / num self.dserror.update(data=mean, nerr=minvals-mean, perr=maxvals-mean) class CumulativePlugin(_OneOutputDatasetPlugin): """Compute cumulative values.""" menu = (_('Compute'), _('Cumulative value'),) name = 'Cumulative' description_short = _('Compute the cumulative value of a dataset') description_full = _('Compute the cumulative value of a dataset. ' ' Error bars are combined.\n' 'Default behaviour is to accumulate from start.') def __init__(self): """Define fields.""" self.fields = [ field.FieldDataset('ds_in', _('Input dataset')), field.FieldBool('fromend', _('Compute cumulative value from end')), field.FieldDataset('ds_out', _('Output dataset')), ] def updateDatasets(self, fields, helper): """Do accumulation.""" ds_in = helper.getDataset(fields['ds_in']) fromend = fields['fromend'] def cumsum(v): """Compute cumulative, handing nans and reverse.""" v = N.array(v) if fromend: v = v[::-1] v[ N.logical_not(N.isfinite(v)) ] = 0. c = N.cumsum(v) if fromend: c = c[::-1] return c # compute cumulative values data, serr, perr, nerr = ds_in.data, ds_in.serr, ds_in.perr, ds_in.nerr data = cumsum(data) if serr is not None: serr = N.sqrt( cumsum(serr**2) ) if perr is not None: perr = N.sqrt( cumsum(perr**2) ) if nerr is not None: nerr = -N.sqrt( cumsum(nerr**2) ) self.dsout.update(data=data, serr=serr, perr=perr, nerr=nerr) class DemultiplexPlugin(DatasetPlugin): """Dataset plugin to split a dataset into multiple datasets, element-by-element.""" menu = (_('Split'), _('Element by element'),) name = 'Demultiplex' description_short = _('Split dataset into multiple datasets element-by-element') description_full = _('Split dataset into multiple datasets on an ' 'element-by-element basis.\n' 'e.g. 1, 2, 3, 4, 5, 6 could be converted to ' '1, 3, 5 and 2, 4, 6.') def __init__(self): """Define fields.""" self.fields = [ field.FieldDataset('ds_in', _('Input dataset')), field.FieldDatasetMulti('ds_out', _('Output datasets')), ] def getDatasets(self, fields): """Returns demuxed output datasets.""" names = [n.strip() for n in fields['ds_out'] if n.strip() != ''] if len(names) == 0: raise DatasetPluginException(_('Requires at least one output dataset')) self.ds_out = [ Dataset1D(n) for n in names ] return self.ds_out def updateDatasets(self, fields, helper): """Compute means of dataset.""" ds_in = helper.getDataset( fields['ds_in'] ) num = len(self.ds_out) for i, ds in enumerate(self.ds_out): data = ds_in.data[i::num] serr = nerr = perr = None if ds_in.serr is not None: serr = ds_in.serr[i::num] if ds_in.perr is not None: perr = ds_in.perr[i::num] if ds_in.nerr is not None: nerr = ds_in.nerr[i::num] ds.update(data=data, serr=serr, perr=perr, nerr=nerr) class PolarToCartesianPlugin(DatasetPlugin): """Convert from r,theta to x,y coordinates.""" menu = (_('Convert'), _('Polar to Cartesian'),) name = 'PolarToCartesian' description_short = _('Convert r,theta coordinates to x,y coordinates') description_full = _('Convert r,theta coordinates to x,y coordinates.\n' 'Error bars are ignored.') def __init__(self): """Define fields.""" self.fields = [ field.FieldDataset('r_in', _('Input dataset (r)')), field.FieldDataset('theta_in', _('Input dataset (theta)')), field.FieldCombo('units', _('Angular units'), items=('radians', 'degrees'), editable=False), field.FieldDataset('x_out', _('Output dataset (x)')), field.FieldDataset('y_out', _('Output dataset (y)')), ] def getDatasets(self, fields): """Returns x and y output datasets.""" if fields['x_out'] == '': raise DatasetPluginException(_('Invalid output x dataset name')) if fields['y_out'] == '': raise DatasetPluginException(_('Invalid output y dataset name')) self.x_out = Dataset1D(fields['x_out']) self.y_out = Dataset1D(fields['y_out']) return [self.x_out, self.y_out] def updateDatasets(self, fields, helper): """Compute means of dataset.""" ds_r = helper.getDataset( fields['r_in'] ).data ds_theta = helper.getDataset( fields['theta_in'] ).data if fields['units'] == 'degrees': # convert to radians ds_theta = ds_theta * (N.pi / 180.) x = ds_r * N.cos(ds_theta) y = ds_r * N.sin(ds_theta) self.x_out.update(data=x) self.y_out.update(data=y) class FilterDatasetPlugin(_OneOutputDatasetPlugin): """Dataset plugin to filter a dataset using an expression.""" menu = (_('Filter'), _('Expression'),) name = 'FilterExpression' description_short = _('Filter a dataset using an expression') description_full = _('Filter a dataset using an expression, ' 'e.g. "x>10" or "(x>1) & (y<2)"') def __init__(self): """Define fields.""" self.fields = [ field.FieldDataset('ds_in', _('Input dataset')), field.FieldText('filter', _('Filter expression')), field.FieldBool('replacenan', _('Replace excluded points by NaN\n' '(indicate missing points)'), default=False), field.FieldDataset('ds_out', _('Output dataset')), ] def updateDatasets(self, fields, helper): """Do shifting of dataset.""" ds_in = helper.getDataset(fields['ds_in']) filt = helper.evaluateExpression(fields['filter']) data, serr, perr, nerr = ds_in.data, ds_in.serr, ds_in.perr, ds_in.nerr if filt is None: # select nothing filt = N.zeros(data.shape, dtype=N.bool) else: # filter must have int/bool type filt = N.array(filt, dtype=N.bool) try: if fields['replacenan']: # replace bad points with nan data = data.copy() data[N.logical_not(filt)] = N.nan else: # just select good points data = data[filt] if serr is not None: serr = serr[filt] if perr is not None: perr = perr[filt] if nerr is not None: nerr = nerr[filt] except (ValueError, IndexError) as e: raise DatasetPluginException(_("Error filtering dataset: '%s')") % cstr(e)) self.dsout.update(data=data, serr=serr, perr=perr, nerr=nerr) class MovingAveragePlugin(_OneOutputDatasetPlugin): """Compute moving average for dataset.""" menu = (_('Filtering'), _('Moving Average'),) name = 'MovingAverage' description_short = _('Compute moving average for regularly spaced data') description_full = _('Compute moving average for regularly spaced data.' 'Average is computed either\nside of each data point ' 'by number of points given.') def __init__(self): """Define fields.""" self.fields = [ field.FieldDataset('ds_in', _('Input dataset')), field.FieldInt('width', _('Points either side of point to average'), default=1, minval=0), field.FieldBool('weighterrors', _('Weight by error bars'), default=True), field.FieldDataset('ds_out', _('Output dataset')), ] def updateDatasets(self, fields, helper): """Do shifting of dataset.""" ds_in = helper.getDataset(fields['ds_in']) weights = None if fields['weighterrors']: if ds_in.serr is not None: weights = 1. / ds_in.serr**2 elif ds_in.perr is not None and ds_in.nerr is not None: weights = 1. / ( (ds_in.perr**2+ds_in.nerr**2)/2. ) width = fields['width'] data = qtloops.rollingAverage(ds_in.data, weights, width) self.dsout.update(data=data) class LinearInterpolatePlugin(_OneOutputDatasetPlugin): """Do linear interpolation of data.""" menu = (_('Filtering'), _('Linear interpolation'),) name = 'LinearInterpolation' description_short = _('Linear interpolation of x,y data') description_full = _("Compute linear interpolation of x,y data.\n" "Given datasets for y = f(x), compute y' = f(x'), " "using linear interpolation.\n" "Assumes x dataset increases in value.") def __init__(self): """Define fields.""" self.fields = [ field.FieldDataset('ds_x', _('Input dataset x')), field.FieldDataset('ds_y', _('Input dataset y')), field.FieldDataset('ds_xprime', _("Input dataset x'")), field.FieldBool('edgenan', _('Use nan for values outside x range')), field.FieldDataset('ds_out', _("Output dataset y'")), ] def updateDatasets(self, fields, helper): """Do shifting of dataset.""" ds_x = helper.getDataset(fields['ds_x']).data ds_y = helper.getDataset(fields['ds_y']).data ds_xprime = helper.getDataset(fields['ds_xprime']).data minlenin = min( len(ds_x), len(ds_y) ) pad = None if fields['edgenan']: pad = N.nan interpol = N.interp(ds_xprime, ds_x[:minlenin], ds_y[:minlenin], left=pad, right=pad) self.dsout.update(data=interpol) class ReBinXYPlugin(DatasetPlugin): """Bin-up data by factor given.""" menu = (_('Filtering'), _('Bin X,Y')) name = 'RebinXY' description_short = 'Bin every N datapoints' description_full = ('Given dataset Y (and optionally X), for every N ' 'datapoints calculate the binned value. For ' 'dataset Y this is the sum or mean of every N ' 'datapoints. For X this is the midpoint of the ' 'datapoints (using error bars to give the range.') def __init__(self): """Define fields.""" self.fields = [ field.FieldDataset('ds_y', _('Input dataset Y')), field.FieldDataset('ds_x', _('Input dataset X (optional)')), field.FieldInt('binsize', _('Bin size (N)'), minval=1, default=2), field.FieldCombo('mode', _('Mode of binning'), items=('sum', 'average'), editable=False), field.FieldDataset('ds_yout', _("Output Y'")), field.FieldDataset('ds_xout', _("Output X' (optional)")), ] def getDatasets(self, fields): """Return output datasets""" if fields['ds_yout'] == '': raise DatasetPluginException(_('Invalid output Y dataset name')) if fields['ds_x'] != '' and fields['ds_xout'] == '': raise DatasetPluginException(_('Invalid output X dataset name')) self.dssout = out = [ Dataset1D(fields['ds_yout']) ] if fields['ds_xout'] != '': out.append(Dataset1D(fields['ds_xout'])) return out def updateDatasets(self, fields, helper): """Do binning.""" binsize = fields['binsize'] average = fields['mode'] == 'average' def binerr(err): """Compute binned error.""" if err is None: return None err2 = qtloops.binData(err**2, binsize, False) cts = qtloops.binData(N.ones(err.shape), binsize, False) return N.sqrt(err2) / cts # bin up data and calculate errors (if any) dsy = helper.getDataset(fields['ds_y']) binydata = qtloops.binData(dsy.data, binsize, average) binyserr = binerr(dsy.serr) binyperr = binerr(dsy.perr) binynerr = binerr(dsy.nerr) self.dssout[0].update(data=binydata, serr=binyserr, perr=binyperr, nerr=binynerr) if len(self.dssout) == 2: # x datasets dsx = helper.getDataset(fields['ds_x']) # Calculate ranges between adjacent binned points. This # is horribly messy - we have to account for the fact # there might not be error bars and calculate the midpoint # to the previous/next point. minvals = N.array(dsx.data) if dsx.serr is not None: minvals -= dsx.serr elif dsx.nerr is not None: minvals += dsx.nerr else: minvals = 0.5*(dsx.data[1:] + dsx.data[:-1]) if len(dsx.data) > 2: # assume +ve error bar on last point is as big as its -ve error minvals = N.insert(minvals, 0, dsx.data[0] - 0.5*( dsx.data[1] - dsx.data[0])) elif len(dsx.data) != 0: # no previous point so we assume 0 error minvals = N.insert(minvals, 0, dsx.data[0]) maxvals = N.array(dsx.data) if dsx.serr is not None: maxvals += dsx.serr elif dsx.perr is not None: maxvals += dsx.perr else: maxvals = 0.5*(dsx.data[1:] + dsx.data[:-1]) if len(dsx.data) > 2: maxvals = N.append(maxvals, dsx.data[-1] + 0.5*( dsx.data[-1] - dsx.data[-2])) elif len(dsx.data) != 0: maxvals = N.append(maxvals, dsx.data[-1]) minbin = minvals[::binsize] maxbin = maxvals[binsize-1::binsize] if len(minbin) > len(maxbin): # not an even number of bin size maxbin = N.append(maxbin, maxvals[-1]) self.dssout[1].update(data=0.5*(minbin+maxbin), serr=0.5*(maxbin-minbin)) class SortPlugin(_OneOutputDatasetPlugin): """Sort a dataset.""" menu = (_('Compute'), _('Sorted'),) name = 'Sort' description_short = description_full = _('Sort a dataset') def __init__(self): """Define fields.""" self.fields = [ field.FieldDataset('ds_in', _('Input dataset')), field.FieldDataset('ds_sort', _('Sort by (optional)')), field.FieldBool('reverse', _('Reverse')), field.FieldDataset('ds_out', _('Output dataset')), ] def updateDatasets(self, fields, helper): """Do sorting of dataset.""" ds_sort = ds = helper.getDataset(fields['ds_in']) if fields['ds_sort'].strip(): ds_sort = helper.getDataset(fields['ds_sort']) idxs = N.argsort(ds_sort.data) if fields['reverse']: idxs = idxs[::-1] out = { 'data': ds.data[idxs] } if ds.serr is not None: out['serr'] = ds.serr[idxs] if ds.perr is not None: out['perr'] = ds.perr[idxs] if ds.nerr is not None: out['nerr'] = ds.nerr[idxs] self.dsout.update(**out) class SortTextPlugin(_OneOutputDatasetPlugin): """Sort a text dataset.""" menu = (_('Compute'), _('Sorted Text'),) name = 'Sort Text' description_short = description_full = _('Sort a text dataset') def __init__(self): """Define fields.""" self.fields = [ field.FieldDataset('ds_in', _('Input dataset'), datatype='text'), field.FieldDataset('ds_sort', _('Sort by (optional)')), field.FieldBool('reverse', _('Reverse')), field.FieldDataset('ds_out', _('Output dataset'), datatype='text'), ] def getDatasets(self, fields): """Returns single output dataset (self.dsout).""" if fields['ds_out'] == '': raise DatasetPluginException(_('Invalid output dataset name')) self.dsout = DatasetText(fields['ds_out']) return [self.dsout] def updateDatasets(self, fields, helper): """Do sorting of dataset.""" ds = helper.getTextDataset(fields['ds_in']).data if fields['ds_sort'].strip(): ds_sort = helper.getDataset(fields['ds_sort']) idxs = N.argsort(ds_sort.data) dout = [] for i in idxs: dout.append(ds[i]) else: dout = list(ds) dout.sort() if fields['reverse']: dout = dout[::1] self.dsout.update(dout) class Histogram2D(DatasetPlugin): """Compute 2D histogram for two 1D dataset. Algorithm: Count up values in boxes. Sort. Compute probability working downwards. """ menu = (_('Compute'), _('2D histogram'),) name = 'Histogram 2D' description_short = _('Compute 2D histogram.') description_full = _('Given two 1D datasets, compute a 2D histogram. ' 'Can optionally compute a probability distribution.') def __init__(self): """Input fields.""" self.fields = [ field.FieldDataset('ds_inx', _('Input dataset x')), field.FieldFloatOrAuto('minx', _('Minimum value for dataset x')), field.FieldFloatOrAuto('maxx', _('Maximum value for dataset x')), field.FieldInt('binsx', _('Number of bins for dataset x'), default=10, minval=2), field.FieldDataset('ds_iny', _('Input dataset y')), field.FieldFloatOrAuto('miny', _('Minimum value for dataset y')), field.FieldFloatOrAuto('maxy', _('Maximum value for dataset y')), field.FieldInt('binsy', _('Number of bins for dataset y'), default=10, minval=2), field.FieldCombo('mode', _('Mode'), items=('Count', 'Fraction', 'CumulativeProbability', 'CumulativeProbabilityInverse'), default='Count', editable=False), field.FieldDataset('ds_out', _('Output 2D dataset'), dims=2), ] def probabilityCalculator(self, histo): """Convert an image of counts to a cumulative probability distribution. """ # get sorted pixel values pixvals = N.ravel(histo) sortpix = N.sort(pixvals) # cumulative sum of values probs = N.cumsum(sortpix) probs = probs * (1./probs[-1]) # values in pixvals which are unique unique = N.concatenate( (sortpix[:-1] != sortpix[1:], [True]) ) # now we have the pixel values and probabilities pixaxis = sortpix[unique] probaxis = probs[unique] # use linear interpolation to map the pixvals -> cumulative probability probvals = N.interp(pixvals, pixaxis, probaxis) probvals = probvals.reshape(histo.shape) return probvals def updateDatasets(self, fields, helper): """Calculate values of output dataset.""" dsy = helper.getDataset(fields['ds_iny']).data dsx = helper.getDataset(fields['ds_inx']).data # use range of data or specified parameters miny = fields['miny'] if miny == 'Auto': miny = N.nanmin(dsy) maxy = fields['maxy'] if maxy == 'Auto': maxy = N.nanmax(dsy) minx = fields['minx'] if minx == 'Auto': minx = N.nanmin(dsx) maxx = fields['maxx'] if maxx == 'Auto': maxx = N.nanmax(dsx) # compute counts in each bin histo, xedge, yedge = N.histogram2d( dsy, dsx, bins=[fields['binsy'], fields['binsx']], range=[[miny,maxy], [minx,maxx]], normed=False) m = fields['mode'] if m == 'Count': out = histo elif m == 'Fraction': out = histo * (1./N.sum(histo)) elif m == 'CumulativeProbability': out = self.probabilityCalculator(histo) elif m == 'CumulativeProbabilityInverse': out = 1. - self.probabilityCalculator(histo) # update output dataset self.dsout.update(out, rangey=(miny, maxy), rangex=(minx, maxx)) def getDatasets(self, fields): """Returns single output dataset (self.dsout).""" if fields['ds_out'] == '': raise DatasetPluginException(_('Invalid output dataset name')) self.dsout = Dataset2D(fields['ds_out']) return [self.dsout] class ConvertNumbersToText(DatasetPlugin): """Convert a set of numbers to text.""" menu = (_('Convert'), _('Numbers to Text'),) name = 'NumbersToText' description_short = _('Convert numeric dataset to text') description_full = _('Given a 1D numeric dataset, create a text dataset ' 'by applying formatting. Format string is in standard ' 'Veusz-extended C formatting, e.g.\n' ' "%Vg" - general,' ' "%Ve" - scientific,' ' "%VE" - engineering suffix,' ' "%.2f" - two decimal places and' ' "%e" - C-style scientific') def __init__(self): """Define fields.""" self.fields = [ field.FieldDataset('ds_in', _('Input dataset')), field.FieldText('format', _('Format'), default='%Vg'), field.FieldDataset('ds_out', _('Output dataset name')), ] def getDatasets(self, fields): if fields['ds_out'] == '': raise DatasetPluginException(_('Invalid output dataset name')) self.dsout = DatasetText(fields['ds_out']) return [self.dsout] def updateDatasets(self, fields, helper): """Convert dataset.""" ds_in = helper.getDataset(fields['ds_in']) f = fields['format'] data = [ utils.formatNumber(n, f, locale=helper.locale) for n in ds_in.data ] self.dsout.update(data=data) datasetpluginregistry += [ AddDatasetPlugin, AddDatasetsPlugin, SubtractDatasetPlugin, SubtractMeanDatasetPlugin, SubtractMinimumDatasetPlugin, MultiplyDatasetPlugin, MultiplyDatasetsPlugin, DivideDatasetsPlugin, DivideMaxPlugin, DivideNormalizePlugin, MeanDatasetPlugin, ExtremesDatasetPlugin, CumulativePlugin, ConcatenateDatasetPlugin, InterleaveDatasetPlugin, ChopDatasetPlugin, PartsDatasetPlugin, DemultiplexPlugin, ThinDatasetPlugin, PolarToCartesianPlugin, ConvertNumbersToText, FilterDatasetPlugin, MovingAveragePlugin, LinearInterpolatePlugin, ReBinXYPlugin, SortPlugin, SortTextPlugin, Histogram2D, ] veusz-1.21.1/veusz/plugins/importplugin.py0000664000175000017500000005560112237406466017113 0ustar jssjss# Copyright (C) 2010 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """Import plugin base class and helpers.""" from __future__ import division import os.path import numpy as N from ..compat import crange, cstr, cstrerror from .. import utils from .. import qtall as qt4 from . import field from . import datasetplugin def _(text, disambiguation=None, context='ImportPlugin'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) # add an instance of your class to this list to get it registered importpluginregistry = [] class ImportPluginParams(object): """Parameters to plugin are passed in this object.""" def __init__(self, filename, encoding, field_results): self.filename = filename self.encoding = encoding self.field_results = field_results def openFileWithEncoding(self): """Helper to open filename but respecting encoding.""" return utils.openEncoding(self.filename, self.encoding) class ImportPluginException(RuntimeError): """An exception to return errors about importing or previewing data.""" class ImportPlugin(object): """Define a plugin to read data in a particular format. Override doImport and optionally getPreview to define a new plugin. Register the class by adding it to the importpluginregistry list. Of promote_tab is set to some text, put the plugin on its own tab in the import dialog using that text as the tab name. """ name = 'Import plugin' author = '' description = '' # if set to some text, use this plugin on its own tab promote_tab = None # set these to get focus if a file is selected with these extensions # include the dot in the extension names file_extensions = set() def __init__(self): """Override this to declare a list of input fields if required.""" # a list of Field objects to display self.fields = [] def getPreview(self, params): """Get data to show in a text box to show a preview. params is a ImportPluginParams object. Returns (text, okaytoimport) """ f = params.openFileWithEncoding() return f.read(4096), True def doImport(self, params): """Actually import data params is a ImportPluginParams object. Return a list of datasetplugin.Dataset1D, datasetplugin.Dataset2D objects """ return [] ################################################################# class ImportPluginExample(ImportPlugin): """An example plugin for reading a set of unformatted numbers from a file.""" name = "Example plugin" author = "Jeremy Sanders" description = _("Reads a list of numbers in a text file") def __init__(self): self.fields = [ field.FieldText("name", descr=_("Dataset name"), default="name"), field.FieldBool("invert", descr=_("invert values")), field.FieldFloat("mult", descr=_("Multiplication factor"), default=1), field.FieldInt("skip", descr=_("Skip N lines"), default=0, minval=0), field.FieldCombo("subtract", items=("0", "1", "2"), editable=False, default="0") ] def doImport(self, params): """Actually import data params is a ImportPluginParams object. Return a list of datasetplugin.Dataset1D, datasetplugin.Dataset2D objects """ try: f = params.openFileWithEncoding() data = [] mult = params.field_results["mult"] sub = float(params.field_results["subtract"]) if params.field_results["invert"]: mult *= -1 for i in crange(params.field_results["skip"]): f.readline() for line in f: data += [float(x)*mult-sub for x in line.split()] return [datasetplugin.Dataset1D(params.field_results["name"], data), datasetplugin.Constant("testconst", "42"), datasetplugin.Function("testfunc(x)", "testconst*x**2")] except Exception as e: raise ImportPluginException(cstr(e)) class ImportPluginDateTime(ImportPlugin): """An example plugin for reading a set of iso date-times from a file.""" name = "Example plugin for date/times" author = "Jeremy Sanders" description = _("Reads a list of ISO date times in a text file") def __init__(self): self.fields = [ field.FieldText("name", descr=_("Dataset name"), default="name"), ] def doImport(self, params): """Actually import data params is a ImportPluginParams object. Return a list of datasetplugin.Dataset1D, datasetplugin.Dataset2D objects """ f = params.openFileWithEncoding() data = [] for line in f: data.append( datasetplugin.DatasetDateTime. dateStringToFloat(line.strip()) ) return [ datasetplugin.DatasetDateTime(params.field_results["name"], data) ] #importpluginregistry.append( ImportPluginDateTime ) class QdpFile(object): """Handle reading of a Qdp file.""" def __init__(self, colnames): self.colmodes = {} self.skipmode = 'none' self.retndata = [] # store read in data here self.data = [] # index of max vector self.dataindex = 1 self.colnames = colnames # list of data groups for 2d objects self.datagroup2d = [] # axis ranges for 2d objects self.axis2d = [None, None] def handleRead(self, p): """Handle read command.""" try: mode = {'t': 'terr', 's': 'serr'}[p[1][:1]] except (IndexError, KeyError): raise ImportPluginException(_("read command takes terr/serr")) try: cols = [int(x) for x in p[2:]] except ValueError: raise ImportPluginException(_("read command takes list of columns separated by spaces")) for c in cols: self.colmodes[c] = mode def handleSkip(self, p): """Handle skip command.""" try: self.skipmode = {'o': 'off', 's': 'single', 'd': 'double'}[p[1][:1]] except (IndexError, KeyError): raise ImportPluginException(_("skip command takes single/double/off")) def handleNO(self, p, lastp): """Handle no command, meaning no data.""" if self.skipmode == 'none': self.addNans( len(p) ) elif self.skipmode == 'single': self.pushData() del self.data[:] self.dataindex += 1 elif self.skipmode == 'double': if lastp[0] == 'no': self.pushData() del self.data[:] self.dataindex += 1 else: self.addNans( len(p) ) def addNans(self, num): """Add a blank set of data to output.""" col = 0 ds = 0 while col < num or ds < len(self.data): if ds >= len(self.data): self.data.append([]) m = self.colmodes.get(ds+1) if m == 'serr': self.data[ds].append( (N.nan, N.nan) ) col += 2 elif m == 'terr': self.data[ds].append( (N.nan, N.nan, N.nan) ) col += 3 else: self.data[ds].append( N.nan ) col += 1 ds += 1 def pushData2D(self): """Handle 2D data groups.""" for num, r1, c1, r2, c2 in self.datagroup2d: arr = [] for c in crange(c1-1,c2-1+1): arr.append( self.data[c][r1-1:r2-1+1] ) # make data as "used" self.data[c] = None arr = N.array(arr) if num-1 < len(self.colnames): name = self.colnames[num-1] else: name = 'vec2d%i' % num rangex = rangey = None if self.axis2d[0] is not None: minval, pixsize = self.axis2d[0] rangex = (minval - pixsize*0.5, minval+(arr.shape[1]-0.5)*pixsize ) if self.axis2d[1] is not None: minval, pixsize = self.axis2d[1] rangey = (minval - pixsize*0.5, minval+(arr.shape[0]-0.5)*pixsize ) ds = datasetplugin.Dataset2D(name, data=arr, rangex=rangex, rangey=rangey) self.retndata.append(ds) def pushData(self): """Add data to output array. """ for i in crange(len(self.data)): if self.data[i] is None: continue # get dataset name if i < len(self.colnames): name = self.colnames[i] else: name = 'vec%i' % (i+1) if self.skipmode == 'single' or self.skipmode == 'double': name = name + '_' + str(self.dataindex) # convert data a = N.array(self.data[i]) if len(a.shape) == 1: # no error bars ds = datasetplugin.Dataset1D(name, data=a) elif a.shape[1] == 2: # serr ds = datasetplugin.Dataset1D(name, data=a[:,0], serr=a[:,1]) elif a.shape[1] == 3: # perr/nerr p = N.where(a[:,1] < a[:,2], a[:,2], a[:,1]) n = N.where(a[:,1] < a[:,2], a[:,1], a[:,2]) ds = datasetplugin.Dataset1D(name, data=a[:,0], perr=p, nerr=n) else: raise RuntimeError self.retndata.append(ds) def handleDataGroup(self, p): """Handle data groups.""" if len(p) == 3: # we don't support the renaming thing pass elif len(p) == 6: # 2d data try: pint = [int(x) for x in p[1:]] except ValueError: raise ImportPluginException(_("invalid 2d datagroup command")) self.datagroup2d.append(pint) def handleAxis(self, p): """Axis command gives range of axes (used for 2d).""" try: minval, maxval = float(p[2]), float(p[3]) except ValueError: raise ImportPluginException(_("invalid axis range")) self.axis2d[ p[0][0] == 'y' ] = (minval, maxval) def handleNum(self, p): """Handle set of numbers.""" nums = [] try: for n in p: if n.lower() == 'no': nums.append(N.nan) else: nums.append(float(n)) except ValueError: raise ImportPluginException(_("Cannot convert '%s' to numbers") % (' '.join(p))) col = 0 ds = 0 while col < len(nums): if ds >= len(self.data): self.data.append([]) m = self.colmodes.get(ds+1) if m == 'serr': self.data[ds].append( (nums[col], nums[col+1]) ) col += 2 elif m == 'terr': self.data[ds].append( (nums[col], nums[col+1], nums[col+2]) ) col += 3 else: self.data[ds].append( nums[col] ) col += 1 ds += 1 def importFile(self, fileobj, dirname): """Read data from file object. dirname is the directory in which the file is located """ contline = None lastp = [] for line in fileobj: # strip comments if line.find("!") >= 0: line = line[:line.find("!")] if line[:1] == '@': # read another file fname = os.path.join(dirname, line[1:].strip()) try: newf = open(fname) self.importFile(newf, dirname) except EnvironmentError: pass continue p = [x.lower() for x in line.split()] if contline: # add on previous continuation if existed p = contline + p contline = None if len(p) > 0 and p[-1][-1] == '-': # continuation p[-1] = p[-1][:-1] contline = p continue if len(p) == 0: # nothing continue v0 = p[0] if v0[0] in '0123456789-.': self.handleNum(p) elif v0 == 'no': self.handleNO(p, lastp) elif v0 == 'read': self.handleRead(p) elif v0[:2] == 'sk': self.handleSkip(p) elif v0[:2] == 'dg': self.handleDataGroup(p) elif v0[:1] == 'x' or v0[:2] == 'ya': self.handleAxis(p) else: # skip everything else (for now) pass lastp = p class ImportPluginQdp(ImportPlugin): """An example plugin for reading data from QDP files.""" name = "QDP import" author = "Jeremy Sanders" description = _("Reads datasets from QDP files") file_extensions = set(['.qdp']) def __init__(self): self.fields = [ field.FieldTextMulti("names", descr=_("Vector name list "), default=['']), ] def doImport(self, params): """Actually import data params is a ImportPluginParams object. Return a list of datasetplugin.Dataset1D, datasetplugin.Dataset2D objects """ names = [x.strip() for x in params.field_results["names"] if x.strip()] f = params.openFileWithEncoding() rqdp = QdpFile(names) rqdp.importFile(f, os.path.dirname(params.filename)) rqdp.pushData2D() rqdp.pushData() f.close() return rqdp.retndata def cnvtImportNumpyArray(name, val, errorsin2d=True): """Convert a numpy array to plugin returns.""" try: val.shape except AttributeError: raise ImportPluginException(_("Not the correct format file")) try: val + 0. val = val.astype(N.float64) except TypeError: raise ImportPluginException(_("Unsupported array type")) if val.ndim == 1: return datasetplugin.Dataset1D(name, val) elif val.ndim == 2: if errorsin2d and val.shape[1] in (2, 3): # return 1d array if val.shape[1] == 2: # use as symmetric errors return datasetplugin.Dataset1D(name, val[:,0], serr=val[:,1]) else: # asymmetric errors # unclear on ordering here... return datasetplugin.Dataset1D(name, val[:,0], perr=val[:,1], nerr=val[:,2]) else: return datasetplugin.Dataset2D(name, val) else: raise ImportPluginException(_("Unsupported dataset shape")) class ImportPluginNpy(ImportPlugin): """For reading single datasets from NPY numpy saved files.""" name = "Numpy NPY import" author = "Jeremy Sanders" description = _("Reads a 1D/2D numeric dataset from a Numpy NPY file") file_extensions = set(['.npy']) def __init__(self): self.fields = [ field.FieldText("name", descr=_("Dataset name"), default=''), field.FieldBool("errorsin2d", descr=_("Treat 2 and 3 column 2D arrays as\n" "data with error bars"), default=True), ] def getPreview(self, params): """Get data to show in a text box to show a preview. params is a ImportPluginParams object. Returns (text, okaytoimport) """ try: retn = N.load(params.filename) except Exception: return _("Cannot read file"), False try: text = _('Array shape: %s\n') % str(retn.shape) text += _('Array datatype: %s (%s)\n') % (retn.dtype.str, str(retn.dtype)) text += str(retn) return text, True except AttributeError: return _("Not an NPY file"), False def doImport(self, params): """Actually import data. """ name = params.field_results["name"].strip() if not name: raise ImportPluginException(_("Please provide a name for the dataset")) try: retn = N.load(params.filename) except Exception as e: raise ImportPluginException(_("Error while reading file: %s") % cstr(e)) return [ cnvtImportNumpyArray( name, retn, errorsin2d=params.field_results["errorsin2d"]) ] class ImportPluginNpz(ImportPlugin): """For reading single datasets from NPY numpy saved files.""" name = "Numpy NPZ import" author = "Jeremy Sanders" description = _("Reads datasets from a Numpy NPZ file.") file_extensions = set(['.npz']) def __init__(self): self.fields = [ field.FieldBool("errorsin2d", descr=_("Treat 2 and 3 column 2D arrays as\n" "data with error bars"), default=True), ] def getPreview(self, params): """Get data to show in a text box to show a preview. params is a ImportPluginParams object. Returns (text, okaytoimport) """ try: retn = N.load(params.filename) except Exception: return _("Cannot read file"), False # npz files should define this attribute try: retn.files except AttributeError: return _("Not an NPZ file"), False text = [] for f in sorted(retn.files): a = retn[f] text.append(_('Name: %s') % f) text.append(_(' Shape: %s') % str(a.shape)) text.append(_(' Datatype: %s (%s)') % (a.dtype.str, str(a.dtype))) text.append('') return '\n'.join(text), True def doImport(self, params): """Actually import data. """ try: retn = N.load(params.filename) except Exception as e: raise ImportPluginException(_("Error while reading file: %s") % cstr(e)) try: retn.files except AttributeError: raise ImportPluginException(_("File is not in NPZ format")) # convert each of the imported arrays out = [] for f in sorted(retn.files): out.append( cnvtImportNumpyArray( f, retn[f], errorsin2d=params.field_results["errorsin2d"]) ) return out class ImportPluginBinary(ImportPlugin): name = "Binary import" author = "Jeremy Sanders" description = _("Reads numerical binary files.") file_extensions = set(['.bin']) def __init__(self): self.fields = [ field.FieldText("name", descr=_("Dataset name"), default=""), field.FieldCombo("datatype", descr=_("Data type"), items = ("float32", "float64", "int8", "int16", "int32", "int64", "uint8", "uint16", "uint32", "uint64"), default="float64", editable=False), field.FieldCombo("endian", descr=_("Endian (byte order)"), items = ("little", "big"), editable=False), field.FieldInt("offset", descr=_("Offset (bytes)"), default=0, minval=0), field.FieldInt("length", descr=_("Length (values)"), default=-1) ] def getNumpyDataType(self, params): """Convert params to numpy datatype.""" t = N.dtype(str(params.field_results["datatype"])) return t.newbyteorder( {"little": "<", "big": ">"} [ params.field_results["endian"]] ) def getPreview(self, params): """Preview of data files.""" try: f = open(params.filename, "rb") data = f.read() f.close() except EnvironmentError as e: return _("Cannot read file (%s)") % cstrerror(e), False text = [_('File length: %i bytes') % len(data)] def filtchr(c): """Filtered character to ascii range.""" if ord(c) <= 32 or ord(c) > 127: return '.' else: return c # do a hex dump (like in CP/M) for i in crange(0, min(65536, len(data)), 16): hdr = '%04X ' % i subset = data[i:i+16] hexdata = ('%02X '*len(subset)) % tuple([ord(x) for x in subset]) chrdata = ''.join([filtchr(c) for c in subset]) text.append(hdr+hexdata + ' ' + chrdata) return '\n'.join(text), True def doImport(self, params): """Import the data.""" name = params.field_results["name"].strip() if not name: raise ImportPluginException(_("Please provide a name for the dataset")) try: f = open(params.filename, "rb") f.seek( params.field_results["offset"] ) retn = f.read() f.close() except EnvironmentError as e: raise ImportPluginException(_("Error while reading file '%s'\n\n%s") % (params.filename, cstrerror(e))) try: data = N.fromstring(retn, dtype=self.getNumpyDataType(params), count=params.field_results["length"]) except ValueError as e: raise ImportPluginException(_("Error converting data for file '%s'\n\n%s") % (params.filename, cstr(e))) data = data.astype(N.float64) return [ datasetplugin.Dataset1D(name, data) ] importpluginregistry += [ ImportPluginNpy, ImportPluginNpz, ImportPluginQdp, ImportPluginBinary, ImportPluginExample, ] veusz-1.21.1/veusz/plugins/field.py0000644000175000017500000003437612327177747015460 0ustar jssjss# Copyright (C) 2010 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """Data entry fields for plugins.""" from __future__ import division from .. import qtall as qt4 from .. import utils from .. import setting class Field(object): """A class to represent an input field on the dialog or command line.""" def __init__(self, name, descr=None, default=None): """name: name of field descr: description to show to user default: default value.""" self.name = name if descr: self.descr = descr else: self.descr = name self.default = default def makeControl(self, doc, currentwidget): """Create a set of controls for field.""" return None def setControlVal(self, controls, val): """Update control's value to val.""" pass def getControlResults(self, cntrls): """Get result from created contrls.""" return None class FieldText(Field): """Text entry on the dialog.""" def makeControl(self, doc, currentwidget): l = qt4.QLabel(self.descr) e = qt4.QLineEdit() if self.default: e.setText(self.default) return (l, e) def setControlVal(self, controls, val): controls[1].setText(val) def getControlResults(self, cntrls): return cntrls[1].text() class FieldCombo(Field): """Drop-down combobox on dialog.""" def __init__(self, name, descr=None, default=None, items=(), editable=True): """name: name of field descr: description to show to user default: default value items: items in drop-down box editable: whether user can enter their own value.""" Field.__init__(self, name, descr=descr, default=default) self.items = items self.editable = editable def makeControl(self, doc, currentwidget): l = qt4.QLabel(self.descr) c = qt4.QComboBox() c.addItems(self.items) c.setEditable(bool(self.editable)) if self.default: self.setControlVal((l, c), self.default) return (l, c) def setControlVal(self, controls, val): """Update value to val.""" if self.editable: controls[1].setEditText(val) else: controls[1].setCurrentIndex(controls[1].findText(val)) def getControlResults(self, cntrls): return cntrls[1].currentText() class _WidgetCombo(qt4.QComboBox): """Combo box for selecting widgets.""" def __init__(self, doc, widgettypes, default): """doc: Veusz document widgettypes: set of allowed widgettypes or empty for all default: default path.""" qt4.QComboBox.__init__(self) self.doc = doc self.widgettypes = widgettypes self.default = default self.updateWidgets() doc.signalModified.connect(self.updateWidgets) def _iterateWidgets(self, comboitems, paths, widget, level): """Walk widget tree recursively. Adds name onto a list of strings (comboitems) Adds path to widget onto list of paths (paths) """ if not self.widgettypes or widget.typename in self.widgettypes: comboitems.append(' '*level + widget.name) paths.append(widget.path) for w in widget.children: self._iterateWidgets(comboitems, paths, w, level+1) @qt4.pyqtSlot() def updateWidgets(self): """Update combo with new widgets.""" self.paths = [] # veusz widget paths of items comboitems = [] # names of items (with tree spacing) self._iterateWidgets(comboitems, self.paths, self.doc.basewidget, 0) if self.count() == 0: # first time around add default to get it selected, yuck :-( try: idx = self.paths.index(self.default) self.addItem( comboitems[idx] ) except ValueError: pass utils.populateCombo(self, comboitems) def getWidgetPath(self): """Get path of selected widget.""" return self.paths[self.currentIndex()] class FieldWidget(Field): """Drop-down combobox for selecting widgets.""" def __init__(self, name, descr=None, default='/', widgettypes=set()): """name: name of field descr: description to show to user default: default value - set to '' to get current widget.""" Field.__init__(self, name, descr=descr, default=default) self.widgettypes = widgettypes def makeControl(self, doc, currentwidget): default = self.default if default == '': default = currentwidget l = qt4.QLabel(self.descr) c = _WidgetCombo(doc, self.widgettypes, default) return (l, c) def setControlVal(self, controls, val): controls[1].setCurrentIndex(controls[1].findText(val)) def getControlResults(self, cntrls): return cntrls[1].getWidgetPath() class _FieldSetting(Field): """Field using a setting internally to avoid code duplication. Designed to be subclassed.""" def __init__(self, settingkls, name, descr=None, default='', setnparams = {}): Field.__init__(self, name, descr=descr, default=default) self.default = default self.setn = settingkls(name, default, **setnparams) def makeControl(self, doc, currentwidget): """Use setting makeControl method to make control.""" self.setn.parent = self # setting looks to parent for document self.setn.set(self.default) self.document = doc l = qt4.QLabel(self.descr) c = self.setn.makeControl(None) def updateval(cntrl, setn, val): setn.set(val) # if control changes setting, update setting c.sigSettingChanged.connect(updateval) return (l, c) def setControlVal(self, cntrls, val): self.setn.set(val) def getDocument(self): """This is used by settings to get their document.""" return self.document def getControlResults(self, cntrls): """Get result from setting.""" return self.setn.get() class FieldBool(_FieldSetting): """A true/false value using a check box.""" def __init__(self, name, descr=None, default=False): _FieldSetting.__init__(self, setting.Bool, name, descr=descr, default=default) class FieldInt(_FieldSetting): """An integer number field.""" def __init__(self, name, descr=None, default=0, minval=-9999999, maxval=9999999): """name: name of field descr: description to show to user default: default value. minval and maxval: minimum and maximum integers """ _FieldSetting.__init__(self, setting.Int, name, descr=descr, default=default, setnparams={'minval': minval, 'maxval': maxval}) class FieldFloat(_FieldSetting): """A floating point number field.""" def __init__(self, name, descr=None, default=None, minval=-1e99, maxval=1e99): """name: name of field descr: description to show to user default: default value. minval and maxval: minimum and maximum values """ _FieldSetting.__init__(self, setting.Float, name, descr=descr, default=default, setnparams={'minval': minval, 'maxval': maxval}) class FieldFloatOrAuto(_FieldSetting): """A floating point value or the text 'Auto'.""" def __init__(self, name, descr=None, default='Auto'): """name: name of field descr: description to show to user default: default value. """ _FieldSetting.__init__(self, setting.FloatOrAuto, name, descr=descr, default=default) class FieldColor(_FieldSetting): """Field for selecting a color - returns #rrggbb string.""" def __init__(self, name, descr=None, default='black'): _FieldSetting.__init__(self, setting.Color, name, descr=descr, default=default) class FieldFillStyle(_FieldSetting): """Field for selecting fill styles - returns a string.""" def __init__(self, name, descr=None, default='solid'): _FieldSetting.__init__(self, setting.FillStyle, name, descr=descr, default=default) class FieldLineStyle(_FieldSetting): """Field for selecting line styles - returns a string.""" def __init__(self, name, descr=None, default='solid'): _FieldSetting.__init__(self, setting.LineStyle, name, descr=descr, default=default) class FieldMarker(_FieldSetting): """Field for selecting a marker type. Returns a string """ def __init__(self, name, descr=None, default='circle'): _FieldSetting.__init__(self, setting.Marker, name, descr=descr, default=default) class FieldArrow(_FieldSetting): """Field for selecting an arrow type. Returns a string """ def __init__(self, name, descr=None, default='none'): _FieldSetting.__init__(self, setting.Arrow, name, descr=descr, default=default) class FieldErrorStyle(_FieldSetting): """Field for selecting an error bar style Returns a string """ def __init__(self, name, descr=None, default='bar'): _FieldSetting.__init__(self, setting.ErrorStyle, name, descr=descr, default=default) class FieldDistance(_FieldSetting): """Field for selecting a veusz-style distance, e.g. '1pt'. Returns a string """ def __init__(self, name, descr=None, default='1pt'): _FieldSetting.__init__(self, setting.Distance, name, descr=descr, default=default) class FieldFloatList(_FieldSetting): """Field for entering multiple numbers, separated by commas or spaces Returns a list/tuple of floats """ def __init__(self, name, descr=None, default=()): _FieldSetting.__init__(self, setting.FloatList, name, descr=descr, default=default) class FieldDataset(_FieldSetting): """Field for selecting a datset. Returns a string. Note that the validity of dataset names is not checked Note that a blank string may result """ def __init__(self, name, descr=None, default='', dims=1, datatype='numeric'): """name: name of field descr: description to show to user default: default value (ignored currently) dims: dimensions of dataset to show datatype: type of data: numeric or text """ _FieldSetting.__init__(self, setting.Dataset, name, descr=descr, default=default, setnparams={'dimensions': dims, 'datatype': datatype}) class FieldTextMulti(_FieldSetting): """Field for entering multiple lines of text. Returns a tuple/list of strings. """ def __init__(self, name, descr=None, default=('')): _FieldSetting.__init__(self, setting.Strings, name, descr=descr, default=default) class FieldDatasetMulti(_FieldSetting): """Field for entering multiple datasets. Returns a tuple/list of strings. """ def __init__(self, name, descr=None, default=(''), dims=1, datatype='numeric'): """dims is number of dimensions of datasets to show in drop-down list. datatype is 'numeric' or 'text' """ _FieldSetting.__init__(self, setting.Datasets, name, descr=descr, default=default, setnparams={'dimensions': dims, 'datatype': datatype}) class FieldLineMulti(_FieldSetting): """A field for holding a set of lines. Consists of tuples [('dotted', '1pt', 'color', , False), ...] These are style, width, color, and hide or style, widget, color, transparency, hide This is compatible with the contour widget line style """ def __init__(self, name, descr=None, default=(('solid', '1pt', 'black', False),) ): _FieldSetting.__init__(self, setting.LineSet, name, descr=descr, default=default) class FieldFillMulti(_FieldSetting): """A field for holding a set of fills. Consists of tuples [('solid', 'color', , False), ...] These are color, fill style, and hide or color, fill style, transparency and hide This is compatible with the contour widget line style """ def __init__(self, name, descr=None, default=()): _FieldSetting.__init__(self, setting.FillSet, name, descr=descr, default=default) class FieldFontFamily(_FieldSetting): """A field for holding a font family. Returns a string. """ def __init__(self, name, descr=None, default=None): """Default None selects the default font.""" if default is None: default = setting.Text.defaultfamily _FieldSetting.__init__(self, setting.FontFamily, name, descr=descr, default=default) class FieldFilename(_FieldSetting): """Select a filename with a browse button.""" def __init__(self, name, descr=None, default=''): _FieldSetting.__init__(self, setting.Filename, name, descr=descr, default=default) veusz-1.21.1/veusz/plugins/votable.py0000664000175000017500000000723012376130006015775 0ustar jssjss# Copyright (C) 2012 Science and Technology Facilities Council. # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## from __future__ import division, print_function from ..compat import CStringIO, curlrequest from .importplugin import ImportPlugin, importpluginregistry from .datasetplugin import Dataset1D, DatasetText try: import astropy.version if [int(x) for x in astropy.version.version.split('.')] >= [0, 2]: from astropy.io.votable.table import parse else: from astropy.io.vo.table import parse except ImportError: print('VO table import: astropy module not available') else: class ImportPluginVoTable(ImportPlugin): name = 'VO table import' author = 'Graham Bell' description = 'Reads datasets from VO tables' def _load_votable(self, params): if 'url' in params.field_results: buff = CStringIO(curlrequest.urlopen( params.field_results['url']).read()) return parse(buff, filename=params.filename) else: return parse(params.filename) def doImport(self, params): result = [] votable = self._load_votable(params) for table in votable.iter_tables(): for field in table.fields: fieldname = field.name if field.datatype in ['float', 'double', 'short', 'int', 'unsignedByte']: result.append(Dataset1D(fieldname, table.array[fieldname])) elif field.datatype in ['char', 'string', 'unicodeChar']: result.append(DatasetText(fieldname, table.array[fieldname])) elif field.datatype in ['floatComplex', 'doubleComplex']: print(('VO table import: skipping complex field ' + fieldname)) elif field.datatype in ['boolean', 'bit']: print(('VO table import: skipping boolean field ' + fieldname)) else: print(('VO table import: unknown data type ' + field.datatype + ' for field ' + fieldname)) return result def getPreview(self, params): try: votable = self._load_votable(params) except: return ('', False) summary = [] for table in votable.iter_tables(): summary.append(table.name + ':') for field in table.fields: summary.append(' ' + field.name + ' (' + field.datatype +')') return ('\n'.join(summary), True) importpluginregistry += [ImportPluginVoTable] veusz-1.21.1/veusz/plugins/toolsplugin.py0000664000175000017500000004655712237406466016753 0ustar jssjss# Copyright (C) 2010 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## """Plugins for general operations.""" from __future__ import division import random import re import fnmatch from ..compat import cbasestr from .. import qtall as qt4 from .. import utils from . import field def _(text, disambiguation=None, context='ToolsPlugin'): """Translate text.""" return qt4.QCoreApplication.translate(context, text, disambiguation) # add an instance of your class to this list to be registered toolspluginregistry = [] class ToolsPluginException(RuntimeError): """Raise this to report an error doing what was requested. """ pass class ToolsPlugin(object): # the plugin will get inserted into the menu in a hierarchy based on # the elements of this tuple menu = (_('Base plugin'),) name = 'Base plugin' author = '' description_short = '' description_full = '' # if the plugin takes no parameters, set this to False has_parameters = True def __init__(self): """Override this to declare a list of input fields if required.""" self.fields = [] def apply(self, commandinterface, fieldresults): """Override this option to do the work of the plugin. * commandinterface is an instance of the embedding interface, which also contains the Root widget node object * fieldresults is a dict containing the values of the fields plus 'currentwidget' which is the path to the current widget * Raise an ToolsPluginException(str) to report a problem to the user """ ######################################################################### class ColorsRandomize(ToolsPlugin): """Randomize the colors used in plotting.""" menu = (_('Colors'), _('Randomize')) name = 'Randomize colors' description_short = _('Randomize the colors used in plotting') description_full = _('Randomize the colors used in plotting markers, lines or error bars. Random colors in hue, saturation and luminosity (HSV) are chosen between the two colors given.') def __init__(self): """Construct plugin.""" self.fields = [ field.FieldWidget("widget", descr=_("Start from widget"), default="/"), field.FieldBool("randxy", descr=_("Randomize xy plotters"), default=True), field.FieldBool("randfunc", descr=_("Randomize function plotters"), default=True), field.FieldColor('color1', descr=_("Start of color range"), default='#404040'), field.FieldColor('color2', descr=_("End of color range"), default='#ff0004'), ] def getRandomColor(self, col1, col2): """Return RGB name for a random color.""" H1, H2 = col1.hue(), col2.hue() S1, S2 = col1.saturation(), col2.saturation() V1, V2 = col1.value(), col2.value() def rand(a, b): if a > b: return random.randint(b, a) return random.randint(a, b) col = qt4.QColor.fromHsv(rand(H1, H2), rand(S1, S2), rand(V1, V2)) return str(col.name()) def apply(self, ifc, fields): """Do the randomizing.""" fromwidget = ifc.Root.fromPath(fields['widget']) col1 = qt4.QColor(fields['color1']) col2 = qt4.QColor(fields['color2']) if fields['randxy']: for node in fromwidget.WalkWidgets(widgettype='xy'): col = self.getRandomColor(col1, col2) node.PlotLine.color.val = col node.MarkerFill.color.val = col node.ErrorBarLine.color.val = col if fields['randfunc']: for node in fromwidget.WalkWidgets(widgettype='function'): node.Line.color.val = self.getRandomColor(col1, col2) class ColorsSequence(ToolsPlugin): """Color plotters in sequence.""" menu = (_('Colors'), _('Sequence')) name = 'Create color sequence' description_short = _('Make widgets use sequence of colors') description_full = _('Give new colors to each widget in a sequence between the two colors given.') def __init__(self): """Construct plugin.""" self.fields = [ field.FieldWidget("widget", descr=_("Start from widget"), default="/"), field.FieldBool("randxy", descr=_("Color xy plotters"), default=True), field.FieldBool("randfunc", descr=_("Color function plotters"), default=True), field.FieldColor('color1', descr=_("Start of color range"), default='#ff0000'), field.FieldColor('color2', descr=_("End of color range"), default='#4000ff'), ] def apply(self, ifc, fields): """Do the randomizing.""" fromwidget = ifc.Root.fromPath(fields['widget']) col1 = qt4.QColor(fields['color1']) col2 = qt4.QColor(fields['color2']) H1, H2 = col1.hue(), col2.hue() S1, S2 = col1.saturation(), col2.saturation() V1, V2 = col1.value(), col2.value() # add up total number of widgets numwidgets = ( len( list(fromwidget.WalkWidgets(widgettype='xy')) ) + len( list(fromwidget.WalkWidgets(widgettype='function')) ) ) def colatidx(i): """Get color in range 0...numwidgets-1.""" div = max(numwidgets-1, 1) H = i * (H2-H1) / div + H1 S = i * (S2-S1) / div + S1 V = i * (V2-V1) / div + V1 return str(qt4.QColor.fromHsv(H, S, V).name()) idx = 0 for node in fromwidget.WalkWidgets(): t = node.widgettype if fields['randxy'] and t == 'xy': col = colatidx(idx) idx += 1 node.PlotLine.color.val = col node.MarkerFill.color.val = col node.ErrorBarLine.color.val = col if fields['randfunc'] and t == 'function': node.Line.color.val = colatidx(idx) idx += 1 class ColorsReplace(ToolsPlugin): """Replace one color by another.""" menu = (_('Colors'), _('Replace')) name = 'Replace colors' description_short = _('Search and replace colors') description_full = _('Searches for a color and replaces it with a different color') def __init__(self): """Construct plugin.""" self.fields = [ field.FieldWidget("widget", descr=_("Start from widget"), default="/"), field.FieldBool("follow", descr=_("Change references and defaults"), default=True), field.FieldColor('color1', descr=_("Color to change"), default='black'), field.FieldColor('color2', descr=_("Replacement color"), default='red'), ] def apply(self, ifc, fields): """Do the color search and replace.""" fromcol = qt4.QColor(fields['color1']) def walkNodes(node): """Walk nodes, changing values.""" if node.type == 'setting' and node.settingtype == 'color': # only follow references if requested if node.isreference: if fields['follow']: node = node.resolveReference() else: return # evaluate into qcolor to make sure is a true match if qt4.QColor(node.val) == fromcol: node.val = fields['color2'] else: for c in node.children: walkNodes(c) fromwidget = ifc.Root.fromPath(fields['widget']) walkNodes(fromwidget) class ColorsSwap(ToolsPlugin): """Swap colors used in plotting.""" menu = (_('Colors'), _('Swap')) name = 'Swap colors' description_short = _('Swap two colors') description_full = _('Swaps two colors in the plot') def __init__(self): """Construct plugin.""" self.fields = [ field.FieldWidget("widget", descr=_("Start from widget"), default="/"), field.FieldBool("follow", descr=_("Change references and defaults"), default=True), field.FieldColor('color1', descr=_("First color"), default='black'), field.FieldColor('color2', descr=_("Second color"), default='red'), ] def apply(self, ifc, fields): """Do the color search and replace.""" col1 = qt4.QColor(fields['color1']) col2 = qt4.QColor(fields['color2']) def walkNodes(node): """Walk nodes, changing values.""" if node.type == 'setting' and node.settingtype == 'color': # only follow references if requested if node.isreference: if fields['follow']: node = node.resolveReference() else: return # evaluate into qcolor to make sure is a true match if qt4.QColor(node.val) == col1: node.val = fields['color2'] elif qt4.QColor(node.val) == col2: node.val = fields['color1'] else: for c in node.children: walkNodes(c) fromwidget = ifc.Root.fromPath(fields['widget']) walkNodes(fromwidget) class TextReplace(ToolsPlugin): """Randomize the colors used in plotting.""" menu = (_('General'), _('Replace text')) name = 'Replace text' description_short = _('Search and replace text in settings') description_full = _('Searches for text in a setting and replaces it') def __init__(self): """Construct plugin.""" self.fields = [ field.FieldWidget("widget", descr=_("Start from widget"), default="/"), field.FieldBool("follow", descr=_("Change references and defaults"), default=True), field.FieldBool("onlystr", descr=_("Change only textual data"), default=False), field.FieldText('text1', descr=_("Text to change"), default=''), field.FieldText('text2', descr=_("Replacement text"), default=''), ] def apply(self, ifc, fields): """Do the search and replace.""" def walkNodes(node): """Walk nodes, changing values.""" if node.type == 'setting': # only follow references if requested if node.isreference: if fields['follow']: node = node.resolveReference() else: return val = node.val # try to change if a string, and not only strings or type is string if isinstance(val, cbasestr) and (not fields['onlystr'] or node.settingtype == 'str'): # update text if it changes val2 = val.replace(fields['text1'], fields['text2']) if val != val2: try: node.val = val2 except utils.InvalidType: pass else: for c in node.children: walkNodes(c) fromwidget = ifc.Root.fromPath(fields['widget']) walkNodes(fromwidget) class WidgetsClone(ToolsPlugin): """Take a widget and children and clone them.""" menu = (_('Widgets'), _('Clone for datasets')) name = 'Clone widgets for datasets' description_short = _('Clones a widget and its children for datasets') description_full = _('Take a widget and its children and clone it, plotting different sets of data in each clone.\nHint: Use a "*" in the name of a replacement dataset to match multiple datasets, e.g. x_*') def __init__(self): """Construct plugin.""" self.fields = [ field.FieldWidget("widget", descr=_("Clone widget"), default=""), field.FieldDataset('ds1', descr=_("Dataset 1 to change"), default=''), field.FieldDatasetMulti('ds1repl', descr=_("Replacement(s) for dataset 1")), field.FieldDataset('ds2', descr=_("Dataset 2 to change (optional)"), default=''), field.FieldDatasetMulti('ds2repl', descr=_("Replacement(s) for dataset 2")), field.FieldBool("names", descr=_("Build new names from datasets"), default=True), ] def apply(self, ifc, fields): """Do the cloning.""" def expanddatasets(dslist): """Expand * and ? in dataset names.""" datasets = [] for ds in dslist: if ds.find('*') == -1 and ds.find('?') == -1: datasets.append(ds) else: dlist = fnmatch.filter(ifc.GetDatasets(), ds) dlist.sort() datasets += dlist return datasets def chainpairs(dslist1, dslist2): """Return pairs of datasets, repeating if necessary.""" if not dslist1: dslist1 = [''] if not dslist2: dslist2 = [''] end1 = end2 = False idx1 = idx2 = 0 while True: if idx1 >= len(ds1repl): idx1 = 0 end1 = True if idx2 >= len(ds2repl): idx2 = 0 end2 = True if end1 and end2: break yield dslist1[idx1], dslist2[idx2] idx1 += 1 idx2 += 1 def walkNodes(node, dsname, dsrepl): """Walk nodes, changing datasets.""" if node.type == 'setting': if node.settingtype in ( 'dataset', 'dataset-or-floatlist', 'dataset-or-str'): # handle single datasets if node.val == dsname: node.val = dsrepl elif node.settingtype == 'dataset-multi': # settings with multiple datasets out = list(node.val) for i, v in enumerate(out): if v == dsname: out[i] = dsrepl if tuple(out) != node.val: node.val = out else: for c in node.children: walkNodes(c, dsname, dsrepl) # get names of replacement datasets ds1repl = expanddatasets(fields['ds1repl']) ds2repl = expanddatasets(fields['ds2repl']) # make copies of widget and children for each pair of datasets widget = ifc.Root.fromPath(fields['widget']) for ds1r, ds2r in chainpairs(ds1repl, ds2repl): # construct a name newname = None if fields['names']: newname = widget.name if ds1r: newname += ' ' + ds1r if ds2r: newname += ' ' + ds2r # make the new widget (and children) newwidget = widget.Clone(widget.parent, newname=newname) # do replacement of datasets if fields['ds1']: walkNodes(newwidget, fields['ds1'], ds1r) if fields['ds2']: walkNodes(newwidget, fields['ds2'], ds2r) class FontSize(ToolsPlugin): """Increase or decrease the font size.""" def __init__(self, dirn): """Construct plugin. dirn == 1: increase sizes dirn == -1: decrease sizes """ self.dirn = dirn self.fields = [ field.FieldWidget("widget", descr=_("Start from widget"), default="/"), field.FieldBool("follow", descr=_("Change references and defaults"), default=True), field.FieldFloat("delta", descr=_("Change by value"), default=2), ] def apply(self, ifc, fields): """Do the search and replace.""" pt_re = re.compile(r'^([\d.]+)[ ]*pt$') delta = fields['delta'] changed = set() def walkNodes(node): """Walk nodes, changing values.""" if node.type == 'setting': if node.name == 'size': # find size setting with sibling font (improve this) if not hasattr(node.parent, 'font'): return # only follow references if requested if node.isreference: if fields['follow']: node = node.resolveReference() else: return # avoid doing things more than once p = node.path if p in changed: return changed.add(p) # change point size if requested m = pt_re.match(node.val) if m: pt = float(m.group(1)) + delta*self.dirn if pt < 0: pt = 0.1 node.val = '%gpt' % pt else: for c in node.children: walkNodes(c) fromwidget = ifc.Root.fromPath(fields['widget']) walkNodes(fromwidget) class FontSizeIncrease(FontSize): menu = (_('General'), _('Increase font sizes')) name = 'Increase font sizes' description_short = _('Increase font sizes') description_full = _('Increase font sizes by number of points given') def __init__(self): FontSize.__init__(self, 1) class FontSizeDecrease(FontSize): menu = (_('General'), _('Decrease font sizes')) name = 'Decrease font sizes' description_short = _('Decrease font sizes') description_full = _('Decrease font sizes by number of points given') def __init__(self): FontSize.__init__(self, -1) toolspluginregistry += [ ColorsRandomize, ColorsSequence, ColorsReplace, ColorsSwap, TextReplace, WidgetsClone, FontSizeIncrease, FontSizeDecrease, ] veusz-1.21.1/veusz/plugins/__init__.py0000664000175000017500000000245012237406466016113 0ustar jssjss# Copyright (C) 2010 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## from .field import * from .datasetplugin import * from .importplugin import * from .toolsplugin import * from .votable import * # backward compatibility ImportDataset1D = Dataset1D ImportDataset2D = Dataset2D ImportDatasetText = DatasetText ImportField = Field ImportFieldCheck = FieldBool ImportFieldText = FieldText ImportFieldFloat = FieldFloat ImportFieldInt = FieldInt ImportFieldCombo = FieldCombo veusz-1.21.1/veusz/embed_remote.py0000664000175000017500000002426612376130006015317 0ustar jssjss# Copyright (C) 2008 Jeremy S. Sanders # Email: Jeremy Sanders # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ############################################################################## from __future__ import division import sys import struct import socket from .compat import citems, pickle from .windows.simplewindow import SimpleWindow from . import document from . import setting from . import qtall as qt4 """Program to be run by embedding interface to run Veusz commands.""" # embed.py module checks this is the same as its version number API_VERSION = 2 class EmbeddedClient(object): """An object for each instance of embedded window with document.""" def __init__(self, title, doc=None, hidden=False): """Construct window with title given.""" self.window = SimpleWindow(title, doc=doc) if not hidden: self.window.show() self.document = self.window.document self.plot = self.window.plot # use time based checking by default self.plot.setTimeout(250) self.ci = document.CommandInterpreter(self.document) self.ci.addCommand('Close', self.cmdClose) self.ci.addCommand('Zoom', self.cmdZoom) self.ci.addCommand('EnableToolbar', self.cmdEnableToolbar) self.ci.addCommand('ForceUpdate', self.cmdForceUpdate) self.ci.addCommand('GetClick', self.cmdGetClick) self.ci.addCommand('ResizeWindow', self.cmdResizeWindow) self.ci.addCommand('SetUpdateInterval', self.cmdSetUpdateInterval) self.ci.addCommand('MoveToPage', self.cmdMoveToPage) self.ci.addCommand('IsClosed', self.cmdIsClosed) self.ci.addCommand('SetAntiAliasing', self.cmdSetAntiAliasing) self.ci.addCommand('_apiVersion', self.cmd_apiVersion) setting.transient_settings['unsafe_mode'] = True self.document.sigLog.connect(self.logEmitted) def logEmitted(self, msg): """Write anything logged to stderr.""" sys.stderr.write(msg + '\n') def cmdClose(self): """Close() Close this window.""" self.window.close() self.document = None self.window = None self.plot = None self.ci = None def cmdIsClosed(self): """IsClosed() Return whether window is still open.""" return not self.window.isVisible() def cmd_apiVersion(self): """Get internal API version.""" return API_VERSION def cmdZoom(self, zoom): """Zoom(zoom) Set the plot zoom level: This is a number to for the zoom from 1:1 or 'page': zoom to page 'width': zoom to fit width 'height': zoom to fit height """ self.window.setZoom(zoom) def cmdSetAntiAliasing(self, ison): """SetAntiAliasing(zoom) Enables or disables anti aliasing. """ self.window.setAntiAliasing(ison) def cmdEnableToolbar(self, enable=True): """EnableToolbar(enable=True) Enable the toolbar in this plotwindow. if enable is False, disable it. """ self.window.enableToolbar(enable) def cmdForceUpdate(self): """ForceUpdate() Forces an update of the plot window. """ self.plot.actionForceUpdate() def cmdGetClick(self): """GetClick() Return a clicked point. The user can click a point on the graph This returns a list of tuples containing items for each axis in the clicked region: (axisname, valonaxis) where axisname is the full name of an axis valonaxis is value clicked along the axis [] is returned if no axes span the clicked region """ return self.plot.getClick() def cmdResizeWindow(self, width, height): """ResizeWindow(width, height) Resize the window to be width x height pixels.""" self.window.resize(width, height) def cmdSetUpdateInterval(self, interval): """SetUpdateInterval(interval) Set graph update interval. interval is in milliseconds (ms) set to zero to disable updates set to -1 to update when document changes default interval is 250ms """ self.plot.setTimeout(interval) def cmdMoveToPage(self, pagenum): """MoveToPage(pagenum) Tell window to show specified pagenumber (starting from 1). """ self.plot.setPageNumber(pagenum-1) class EmbedApplication(qt4.QApplication): """Application to run remote end of embed connection. Commands are sent over stdin, with responses sent to stdout """ # lengths of lengths sent to application cmdlenlen = struct.calcsize('