pytest-mpl-0.9/0000755000077000000240000000000013167753712013432 5ustar tomstaff00000000000000pytest-mpl-0.9/CHANGES.md0000644000077000000240000000340313167753631015024 0ustar tomstaff000000000000000.9 (2017-10-12) ---------------- - Fix compatibility with Matplotlib 2.1. [#54] - Allow baseline_dir to be comma-separated URL list to allow mirrors to be specified. [#59] - Make sure figures get closed even if not running with the --mpl option, and only close actual Matplotlib Figure objects. [#60] 0.8 (2017-07-19) ---------------- - Fixed use of mpl_image_compare on methods of test classes that also use setup_method. [#51] - Make it possible to specify the directory in which to put the results from the tests using --mpl-results-path. [#39] - Only import Matplotlib if the plugin is actually used. [#47] - Make sure figures are closed after saving. [#46] - Allow the backend to be set on a per-test basis. [#38] - If test name contains slashes (normally from parameters in parametrized tests), replace with _. [#50] 0.7 (2016-11-26) ---------------- - Properly define dependencies in setup.py. [#32] 0.6 (2016-11-22) ---------------- - Added ``style`` and ``remove_text`` options. [#20] - Properly support parametrized tests. [#24] 0.5 (2016-05-06) ---------------- - Minor fixes to detection of remote baseline directories. - Minor improvements to documentation. 0.4 (2016-05-04) ---------------- - Add support for remote baseline images. [#18] - When providing two conflicting options, warn instead of raising an exception. [#19] 0.3 (2015-06-26) ---------------- - Changed default tolerance from 10 to 2. [#9] - Added ``tox.ini``. - Improvements to documentation 0.2 (2015-06-25) ---------------- - Added globally-configurable baseline directory with the ``--mpl-baseline-dir`` option. 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Robitaille All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. The code in this package includes code adapted from WCSAxes, which is released under a 3-clause BSD license and can be found here: https://github.com/astrofrog/wcsaxes pytest-mpl-0.9/MANIFEST.in0000644000077000000240000000021113133617760015155 0ustar tomstaff00000000000000include LICENSE include README.rst include CHANGES.md include tox.ini recursive-include tests *.py *.png recursive-include images *.png pytest-mpl-0.9/PKG-INFO0000644000077000000240000002635613167753712014543 0ustar tomstaff00000000000000Metadata-Version: 1.1 Name: pytest-mpl Version: 0.9 Summary: pytest plugin to help with testing figures output from Matplotlib Home-page: https://github.com/matplotlib/pytest-mpl Author: Thomas Robitaille Author-email: thomas.robitaille@gmail.com License: BSD Description: |Travis Build Status| |AppVeyor Build status| |Coveralls coverage| About ----- This is a plugin to facilitate image comparison for `Matplotlib `__ figures in pytest. Matplotlib includes a number of test utilities and decorators, but these are geared towards the `nose `__ testing framework. Pytest-mpl makes it easy to compare figures produced by tests to reference images when using `pytest `__. For each figure to test, the reference image is subtracted from the generated image, and the RMS of the residual is compared to a user-specified tolerance. If the residual is too large, the test will fail (this is implemented using helper functions from ``matplotlib.testing``). For more information on how to write tests to do this, see the **Using** section below. Installing ---------- This plugin is compatible with Python 2.6, 2.7, and 3.3 and later, and requires `pytest `__, `matplotlib `__ and `nose `__ to be installed (nose is required by Matplotlib). To install, you can do: :: pip install pytest-mpl You can check that the plugin is registered with pytest by doing: :: py.test --version which will show a list of plugins: :: This is pytest version 2.7.1, imported from ... setuptools registered plugins: pytest-mpl-0.1 at ... Using ----- To use, you simply need to mark the function where you want to compare images using ``@pytest.mark.mpl_image_compare``, and make sure that the function returns a Matplotlib figure (or any figure object that has a ``savefig`` method): .. code:: python import pytest import matplotlib.pyplot as plt @pytest.mark.mpl_image_compare def test_succeeds(): fig = plt.figure() ax = fig.add_subplot(1,1,1) ax.plot([1,2,3]) return fig To generate the baseline images, run the tests with the ``--mpl-generate-path`` option with the name of the directory where the generated images should be placed: :: py.test --mpl-generate-path=baseline If the directory does not exist, it will be created. The directory will be interpreted as being relative to where you are running ``py.test``. Once you are happy with the generated images, you should move them to a sub-directory called ``baseline`` relative to the test files (this name is configurable, see below). You can also generate the baseline images directly in the right directory. You can then run the tests simply with: :: py.test --mpl and the tests will pass if the images are the same. If you omit the ``--mpl`` option, the tests will run but will only check that the code runs without checking the output images. Options ------- Tolerance ^^^^^^^^^ The RMS tolerance for the image comparison (which defaults to 2) can be specified in the ``mpl_image_compare`` decorator with the ``tolerance`` argument: .. code:: python @pytest.mark.mpl_image_compare(tolerance=20) def test_image(): ... Savefig options ^^^^^^^^^^^^^^^ You can pass keyword arguments to ``savefig`` by using ``savefig_kwargs`` in the ``mpl_image_compare`` decorator: .. code:: python @pytest.mark.mpl_image_compare(savefig_kwargs={'dpi':300}) def test_image(): ... Baseline images ^^^^^^^^^^^^^^^ The baseline directory (which defaults to ``baseline`` ) and the filename of the plot (which defaults to the name of the test with a ``.png`` suffix) can be customized with the ``baseline_dir`` and ``filename`` arguments in the ``mpl_image_compare`` decorator: .. code:: python @pytest.mark.mpl_image_compare(baseline_dir='baseline_images', filename='other_name.png') def test_image(): ... The baseline directory in the decorator above will be interpreted as being relative to the test file. Note that the baseline directory can also be a URL (which should start with ``http://`` or ``https://`` and end in a slash). If you want to specify mirrors, set ``baseline_dir`` to a comma-separated list of URLs (real commas in the URL should be encoded as ``%2C``). Finally, you can also set a custom baseline directory globally when running tests by running ``py.test`` with: :: py.test --mpl --mpl-baseline-path=baseline_images This directory will be interpreted as being relative to where the tests are run. In addition, if both this option and the ``baseline_dir`` option in the ``mpl_image_compare`` decorator are used, the one in the decorator takes precedence. Base style ^^^^^^^^^^ By default, tests will be run using the Matplotlib 'classic' style (ignoring any locally defined RC parameters). This can be overriden by using the ``style`` argument: .. code:: python @pytest.mark.mpl_image_compare(style='fivethirtyeight') def test_image(): ... Removing text ^^^^^^^^^^^^^ If you are running a test for which you are not interested in comparing the text labels, you can use the ``remove_text`` argument to the decorator: .. code:: python @pytest.mark.mpl_image_compare(remove_text=True) def test_image(): ... This will make the test insensitive to changes in e.g. the freetype library. Test failure example -------------------- If the images produced by the tests are correct, then the test will pass, but if they are not, the test will fail with a message similar to the following: :: E Exception: Error: Image files did not match. E RMS Value: 142.2287807767823 E Expected: E /var/folders/zy/t1l3sx310d3d6p0kyxqzlrnr0000gr/T/tmp4h4oxr7y/baseline-coords_overlay_auto_coord_meta.png E Actual: E /var/folders/zy/t1l3sx310d3d6p0kyxqzlrnr0000gr/T/tmp4h4oxr7y/coords_overlay_auto_coord_meta.png E Difference: E /var/folders/zy/t1l3sx310d3d6p0kyxqzlrnr0000gr/T/tmp4h4oxr7y/coords_overlay_auto_coord_meta-failed-diff.png E Tolerance: E 10 The image paths included in the exception are then available for inspection: +----------------+----------------+-------------+ | Expected | Actual | Difference | +================+================+=============+ | |expected| | |actual| | |diff| | +----------------+----------------+-------------+ In this case, the differences are very clear, while in some cases it may be necessary to use the difference image, or blink the expected and actual images, in order to see what changed. The default tolerance is 2, which is very strict. In some cases, you may want to relax this to account for differences in fonts across different systems. By default, the expected, actual and difference files are written to a temporary directory with a non-deterministic path. If you want to instead write them to a specific directory, you can use:: py.test --mpl --mpl-results-path=results The ``results`` directory will then contain one sub-directory per test, and each sub-directory will contain the three files mentioned above. If you are using a continuous integration service, you can then use the option to upload artifacts to upload these results to somewhere where you can view them. For more information, see: * `Uploading artifacts on Travis-CI `_ * `Build Artifacts (CircleCI) `_ * `Packaging Artifacts (AppVeyor) `_ Running the tests for pytest-mpl -------------------------------- If you are contributing some changes and want to run the tests, first install the latest version of the plugin then do: :: cd tests py.test --mpl The reason for having to install the plugin first is to ensure that the plugin is correctly loaded as part of the test suite. .. |Travis Build Status| image:: https://travis-ci.org/matplotlib/pytest-mpl.svg?branch=master :target: https://travis-ci.org/matplotlib/pytest-mpl .. |AppVeyor Build status| image:: https://ci.appveyor.com/api/projects/status/mf7hs44scg5mvcyo?svg=true :target: https://ci.appveyor.com/project/astrofrog/pytest-mpl .. |Coveralls coverage| image:: https://coveralls.io/repos/matplotlib/pytest-mpl/badge.svg :target: https://coveralls.io/r/matplotlib/pytest-mpl .. |expected| image:: images/baseline-coords_overlay_auto_coord_meta.png .. |actual| image:: images/coords_overlay_auto_coord_meta.png .. |diff| image:: images/coords_overlay_auto_coord_meta-failed-diff.png Platform: UNKNOWN Classifier: Development Status :: 4 - Beta Classifier: Framework :: Pytest Classifier: Intended Audience :: Developers Classifier: Topic :: Software Development :: Testing Classifier: Topic :: Scientific/Engineering :: Visualization Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 2 Classifier: Programming Language :: Python :: 3 Classifier: Operating System :: OS Independent Classifier: License :: OSI Approved :: BSD License pytest-mpl-0.9/pytest_mpl/0000755000077000000240000000000013167753712015632 5ustar tomstaff00000000000000pytest-mpl-0.9/pytest_mpl/__init__.py0000644000077000000240000000002413167753645017744 0ustar tomstaff00000000000000__version__ = '0.9' pytest-mpl-0.9/pytest_mpl/classic.mplstyle0000644000077000000240000005356113133617760021053 0ustar tomstaff00000000000000### Classic matplotlib plotting style as of v1.5 ### LINES # See http://matplotlib.org/api/artist_api.html#module-matplotlib.lines for more # information on line properties. lines.linewidth : 1.0 # line width in points lines.linestyle : - # solid line lines.color : b # has no affect on plot(); see axes.prop_cycle lines.marker : None # the default marker lines.markeredgewidth : 0.5 # the line width around the marker symbol lines.markersize : 6 # markersize, in points lines.dash_joinstyle : round # miter|round|bevel lines.dash_capstyle : butt # butt|round|projecting lines.solid_joinstyle : round # miter|round|bevel lines.solid_capstyle : projecting # butt|round|projecting lines.antialiased : True # render lines in antialiased (no jaggies) ### PATCHES # Patches are graphical objects that fill 2D space, like polygons or # circles. See # http://matplotlib.org/api/artist_api.html#module-matplotlib.patches # information on patch properties patch.linewidth : 1.0 # edge width in points patch.facecolor : b patch.edgecolor : k patch.antialiased : True # render patches in antialiased (no jaggies) ### FONT # # font properties used by text.Text. See # http://matplotlib.org/api/font_manager_api.html for more # information on font properties. The 6 font properties used for font # matching are given below with their default values. # # The font.family property has five values: 'serif' (e.g., Times), # 'sans-serif' (e.g., Helvetica), 'cursive' (e.g., Zapf-Chancery), # 'fantasy' (e.g., Western), and 'monospace' (e.g., Courier). Each of # these font families has a default list of font names in decreasing # order of priority associated with them. When text.usetex is False, # font.family may also be one or more concrete font names. # # The font.style property has three values: normal (or roman), italic # or oblique. The oblique style will be used for italic, if it is not # present. # # The font.variant property has two values: normal or small-caps. For # TrueType fonts, which are scalable fonts, small-caps is equivalent # to using a font size of 'smaller', or about 83% of the current font # size. # # The font.weight property has effectively 13 values: normal, bold, # bolder, lighter, 100, 200, 300, ..., 900. Normal is the same as # 400, and bold is 700. bolder and lighter are relative values with # respect to the current weight. # # The font.stretch property has 11 values: ultra-condensed, # extra-condensed, condensed, semi-condensed, normal, semi-expanded, # expanded, extra-expanded, ultra-expanded, wider, and narrower. This # property is not currently implemented. # # The font.size property is the default font size for text, given in pts. # 12pt is the standard value. # font.family : sans-serif font.style : normal font.variant : normal font.weight : normal font.stretch : normal # note that font.size controls default text sizes. To configure # special text sizes tick labels, axes, labels, title, etc, see the rc # settings for axes and ticks. Special text sizes can be defined # relative to font.size, using the following values: xx-small, x-small, # small, medium, large, x-large, xx-large, larger, or smaller font.size : 12.0 font.serif : DejaVu Serif, New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif font.sans-serif: DejaVu Sans, Bitstream Vera Sans, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif font.cursive : Apple Chancery, Textile, Zapf Chancery, Sand, Script MT, Felipa, cursive font.fantasy : Comic Sans MS, Chicago, Charcoal, ImpactWestern, Humor Sans, fantasy font.monospace : DejaVu Sans Mono, Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace ### TEXT # text properties used by text.Text. See # http://matplotlib.org/api/artist_api.html#module-matplotlib.text for more # information on text properties text.color : k ### LaTeX customizations. See http://www.scipy.org/Wiki/Cookbook/Matplotlib/UsingTex text.usetex : False # use latex for all text handling. The following fonts # are supported through the usual rc parameter settings: # new century schoolbook, bookman, times, palatino, # zapf chancery, charter, serif, sans-serif, helvetica, # avant garde, courier, monospace, computer modern roman, # computer modern sans serif, computer modern typewriter # If another font is desired which can loaded using the # LaTeX \usepackage command, please inquire at the # matplotlib mailing list text.latex.unicode : False # use "ucs" and "inputenc" LaTeX packages for handling # unicode strings. text.latex.preamble : # IMPROPER USE OF THIS FEATURE WILL LEAD TO LATEX FAILURES # AND IS THEREFORE UNSUPPORTED. PLEASE DO NOT ASK FOR HELP # IF THIS FEATURE DOES NOT DO WHAT YOU EXPECT IT TO. # preamble is a comma separated list of LaTeX statements # that are included in the LaTeX document preamble. # An example: # text.latex.preamble : \usepackage{bm},\usepackage{euler} # The following packages are always loaded with usetex, so # beware of package collisions: color, geometry, graphicx, # type1cm, textcomp. Adobe Postscript (PSSNFS) font packages # may also be loaded, depending on your font settings text.latex.preview : False text.dvipnghack : None # some versions of dvipng don't handle alpha # channel properly. Use True to correct # and flush ~/.matplotlib/tex.cache # before testing and False to force # correction off. None will try and # guess based on your dvipng version text.hinting : auto # May be one of the following: # 'none': Perform no hinting # 'auto': Use freetype's autohinter # 'native': Use the hinting information in the # font file, if available, and if your # freetype library supports it # 'either': Use the native hinting information, # or the autohinter if none is available. # For backward compatibility, this value may also be # True === 'auto' or False === 'none'. text.hinting_factor : 8 # Specifies the amount of softness for hinting in the # horizontal direction. A value of 1 will hint to full # pixels. A value of 2 will hint to half pixels etc. text.antialiased : True # If True (default), the text will be antialiased. # This only affects the Agg backend. # The following settings allow you to select the fonts in math mode. # They map from a TeX font name to a fontconfig font pattern. # These settings are only used if mathtext.fontset is 'custom'. # Note that this "custom" mode is unsupported and may go away in the # future. mathtext.cal : cursive mathtext.rm : serif mathtext.tt : monospace mathtext.it : serif:italic mathtext.bf : serif:bold mathtext.sf : sans\-serif mathtext.fontset : cm # Should be 'cm' (Computer Modern), 'stix', # 'stixsans' or 'custom' mathtext.fallback_to_cm : True # When True, use symbols from the Computer Modern # fonts when a symbol can not be found in one of # the custom math fonts. mathtext.default : it # The default font to use for math. # Can be any of the LaTeX font names, including # the special name "regular" for the same font # used in regular text. ### AXES # default face and edge color, default tick sizes, # default fontsizes for ticklabels, and so on. See # http://matplotlib.org/api/axes_api.html#module-matplotlib.axes axes.hold : True # whether to clear the axes by default on axes.facecolor : w # axes background color axes.edgecolor : k # axes edge color axes.linewidth : 1.0 # edge linewidth axes.grid : False # display grid or not axes.grid.which : major axes.titlesize : large # fontsize of the axes title axes.titleweight : normal # font weight for axes title axes.labelsize : medium # fontsize of the x any y labels axes.labelweight : normal # weight of the x and y labels axes.labelcolor : k axes.axisbelow : False # whether axis gridlines and ticks are below # the axes elements (lines, text, etc) axes.formatter.limits : -7, 7 # use scientific notation if log10 # of the axis range is smaller than the # first or larger than the second axes.formatter.use_locale : False # When True, format tick labels # according to the user's locale. # For example, use ',' as a decimal # separator in the fr_FR locale. axes.formatter.use_mathtext : False # When True, use mathtext for scientific # notation. axes.formatter.useoffset : True # If True, the tick label formatter # will default to labeling ticks relative # to an offset when the data range is very # small compared to the minimum absolute # value of the data. axes.unicode_minus : True # use unicode for the minus symbol # rather than hyphen. See # http://en.wikipedia.org/wiki/Plus_and_minus_signs#Character_codes axes.xmargin : 0 # x margin. See `axes.Axes.margins` axes.ymargin : 0 # y margin See `axes.Axes.margins` polaraxes.grid : True # display grid on polar axes axes3d.grid : True # display grid on 3d axes ### TICKS # see http://matplotlib.org/api/axis_api.html#matplotlib.axis.Tick xtick.major.size : 4 # major tick size in points xtick.minor.size : 2 # minor tick size in points xtick.major.width : 0.5 # major tick width in points xtick.minor.width : 0.5 # minor tick width in points xtick.major.pad : 4 # distance to major tick label in points xtick.minor.pad : 4 # distance to the minor tick label in points xtick.color : k # color of the tick labels xtick.labelsize : medium # fontsize of the tick labels xtick.direction : in # direction: in, out, or inout ytick.major.size : 4 # major tick size in points ytick.minor.size : 2 # minor tick size in points ytick.major.width : 0.5 # major tick width in points ytick.minor.width : 0.5 # minor tick width in points ytick.major.pad : 4 # distance to major tick label in points ytick.minor.pad : 4 # distance to the minor tick label in points ytick.color : k # color of the tick labels ytick.labelsize : medium # fontsize of the tick labels ytick.direction : in # direction: in, out, or inout ### GRIDS grid.color : k # grid color grid.linestyle : : # dotted grid.linewidth : 0.5 # in points grid.alpha : 1.0 # transparency, between 0.0 and 1.0 ### Legend legend.fancybox : False # if True, use a rounded box for the # legend, else a rectangle legend.loc : upper right legend.numpoints : 2 # the number of points in the legend line legend.fontsize : large legend.borderpad : 0.4 # border whitespace in fontsize units legend.markerscale : 1.0 # the relative size of legend markers vs. original # the following dimensions are in axes coords legend.labelspacing : 0.5 # the vertical space between the legend entries in fraction of fontsize legend.handlelength : 2. # the length of the legend lines in fraction of fontsize legend.handleheight : 0.7 # the height of the legend handle in fraction of fontsize legend.handletextpad : 0.8 # the space between the legend line and legend text in fraction of fontsize legend.borderaxespad : 0.5 # the border between the axes and legend edge in fraction of fontsize legend.columnspacing : 2. # the border between the axes and legend edge in fraction of fontsize legend.shadow : False legend.frameon : True # whether or not to draw a frame around legend legend.framealpha : 1.0 # opacity of of legend frame legend.scatterpoints : 3 # number of scatter points ### FIGURE # See http://matplotlib.org/api/figure_api.html#matplotlib.figure.Figure figure.figsize : 8, 6 # figure size in inches figure.dpi : 80 # figure dots per inch figure.facecolor : 0.75 # figure facecolor; 0.75 is scalar gray figure.edgecolor : w # figure edgecolor figure.autolayout : False # When True, automatically adjust subplot # parameters to make the plot fit the figure figure.frameon : True # The figure subplot parameters. All dimensions are a fraction of the # figure width or height figure.subplot.left : 0.125 # the left side of the subplots of the figure figure.subplot.right : 0.9 # the right side of the subplots of the figure figure.subplot.bottom : 0.1 # the bottom of the subplots of the figure figure.subplot.top : 0.9 # the top of the subplots of the figure figure.subplot.wspace : 0.2 # the amount of width reserved for blank space between subplots figure.subplot.hspace : 0.2 # the amount of height reserved for white space between subplots ### IMAGES image.aspect : equal # equal | auto | a number image.interpolation : bilinear # see help(imshow) for options image.cmap : jet # gray | jet etc... image.lut : 256 # the size of the colormap lookup table image.origin : upper # lower | upper image.resample : False ### CONTOUR PLOTS contour.negative_linestyle : dashed # dashed | solid ### Agg rendering ### Warning: experimental, 2008/10/10 agg.path.chunksize : 0 # 0 to disable; values in the range # 10000 to 100000 can improve speed slightly # and prevent an Agg rendering failure # when plotting very large data sets, # especially if they are very gappy. # It may cause minor artifacts, though. # A value of 20000 is probably a good # starting point. ### SAVING FIGURES path.simplify : True # When True, simplify paths by removing "invisible" # points to reduce file size and increase rendering # speed path.simplify_threshold : 0.1111111111111111 # The threshold of similarity below which # vertices will be removed in the simplification # process path.snap : True # When True, rectilinear axis-aligned paths will be snapped to # the nearest pixel when certain criteria are met. When False, # paths will never be snapped. path.sketch : None # May be none, or a 3-tuple of the form (scale, length, # randomness). # *scale* is the amplitude of the wiggle # perpendicular to the line (in pixels). *length* # is the length of the wiggle along the line (in # pixels). *randomness* is the factor by which # the length is randomly scaled. # the default savefig params can be different from the display params # e.g., you may want a higher resolution, or to make the figure # background white savefig.dpi : 100 # figure dots per inch savefig.facecolor : w # figure facecolor when saving savefig.edgecolor : w # figure edgecolor when saving savefig.format : png # png, ps, pdf, svg savefig.bbox : standard # 'tight' or 'standard'. # 'tight' is incompatible with pipe-based animation # backends but will workd with temporary file based ones: # e.g. setting animation.writer to ffmpeg will not work, # use ffmpeg_file instead savefig.pad_inches : 0.1 # Padding to be used when bbox is set to 'tight' savefig.jpeg_quality: 95 # when a jpeg is saved, the default quality parameter. savefig.transparent : False # setting that controls whether figures are saved with a # transparent background by default savefig.frameon : True savefig.orientation : portrait nbagg.transparent: True # ps backend params ps.papersize : letter # auto, letter, legal, ledger, A0-A10, B0-B10 ps.useafm : False # use of afm fonts, results in small files ps.usedistiller : False # can be: None, ghostscript or xpdf # Experimental: may produce smaller files. # xpdf intended for production of publication quality files, # but requires ghostscript, xpdf and ps2eps ps.distiller.res : 6000 # dpi ps.fonttype : 3 # Output Type 3 (Type3) or Type 42 (TrueType) # pdf backend params pdf.compression : 6 # integer from 0 to 9 # 0 disables compression (good for debugging) pdf.fonttype : 3 # Output Type 3 (Type3) or Type 42 (TrueType) pdf.inheritcolor : False pdf.use14corefonts : False # pgf backend params pgf.debug : False pgf.texsystem : xelatex pgf.rcfonts : True pgf.preamble : # svg backend params svg.image_inline : True # write raster image data directly into the svg file svg.fonttype : path # How to handle SVG fonts: # 'none': Assume fonts are installed on the machine where the SVG will be viewed. # 'path': Embed characters as paths -- supported by most SVG renderers # 'svgfont': Embed characters as SVG fonts -- supported only by Chrome, # Opera and Safari # Set the verbose flags. This controls how much information # matplotlib gives you at runtime and where it goes. The verbosity # levels are: silent, helpful, debug, debug-annoying. Any level is # inclusive of all the levels below it. If your setting is "debug", # you'll get all the debug and helpful messages. When submitting # problems to the mailing-list, please set verbose to "helpful" or "debug" # and paste the output into your report. # # The "fileo" gives the destination for any calls to verbose.report. # These objects can a filename, or a filehandle like sys.stdout. # # You can override the rc default verbosity from the command line by # giving the flags --verbose-LEVEL where LEVEL is one of the legal # levels, e.g., --verbose-helpful. # # You can access the verbose instance in your code # from matplotlib import verbose. verbose.level : silent # one of silent, helpful, debug, debug-annoying verbose.fileo : sys.stdout # a log filename, sys.stdout or sys.stderr # Event keys to interact with figures/plots via keyboard. # Customize these settings according to your needs. # Leave the field(s) empty if you don't need a key-map. (i.e., fullscreen : '') keymap.fullscreen : f, ctrl+f # toggling keymap.home : h, r, home # home or reset mnemonic keymap.back : left, c, backspace # forward / backward keys to enable keymap.forward : right, v # left handed quick navigation keymap.pan : p # pan mnemonic keymap.zoom : o # zoom mnemonic keymap.save : s, ctrl+s # saving current figure keymap.quit : ctrl+w, cmd+w # close the current figure keymap.grid : g # switching on/off a grid in current axes keymap.yscale : l # toggle scaling of y-axes ('log'/'linear') keymap.xscale : k, L # toggle scaling of x-axes ('log'/'linear') keymap.all_axes : a # enable all axes ###ANIMATION settings animation.writer : ffmpeg # MovieWriter 'backend' to use animation.codec : mpeg4 # Codec to use for writing movie animation.bitrate: -1 # Controls size/quality tradeoff for movie. # -1 implies let utility auto-determine animation.frame_format: png # Controls frame format used by temp files animation.ffmpeg_path: ffmpeg # Path to ffmpeg binary. Without full path # $PATH is searched animation.ffmpeg_args: # Additional arguments to pass to ffmpeg animation.avconv_path: avconv # Path to avconv binary. Without full path # $PATH is searched animation.avconv_args: # Additional arguments to pass to avconv animation.mencoder_path: mencoder # Path to mencoder binary. Without full path # $PATH is searched animation.mencoder_args: # Additional arguments to pass to mencoder animation.convert_path: convert # Path to ImageMagick's convert binary. # On Windows use the full path since convert # is also the name of a system tool. animation.convert_args: pytest-mpl-0.9/pytest_mpl/plugin.py0000644000077000000240000003117013167701513017474 0ustar tomstaff00000000000000# Copyright (c) 2015, Thomas P. Robitaille # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # 1. Redistributions of source code must retain the above copyright notice, # this list of conditions and the following disclaimer. # # 2. Redistributions in binary form must reproduce the above copyright notice, # this list of conditions and the following disclaimer in the documentation # and/or other materials provided with the distribution. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE # ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE # LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR # CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF # SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS # INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN # CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) # ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. # The code below includes code adapted from WCSAxes, which is released # under a 3-clause BSD license and can be found here: # # https://github.com/astrofrog/wcsaxes from functools import wraps import contextlib import os import sys import shutil import inspect import tempfile import warnings from distutils.version import LooseVersion import pytest if sys.version_info[0] == 2: from urllib import urlopen string_types = basestring # noqa else: from urllib.request import urlopen string_types = str def _download_file(baseline, filename): # Note that baseline can be a comma-separated list of URLs that we can # then treat as mirrors for base_url in baseline.split(','): try: u = urlopen(base_url + filename) content = u.read() except Exception as exc: warnings.warn('Downloading {0} failed'.format(base_url + filename)) else: break else: raise Exception("Could not download baseline image from any of the " "available URLs") result_dir = tempfile.mkdtemp() filename = os.path.join(result_dir, 'downloaded') with open(filename, 'wb') as tmpfile: tmpfile.write(content) return filename def pytest_report_header(config, startdir): import matplotlib import matplotlib.ft2font return ["Matplotlib: {0}".format(matplotlib.__version__), "Freetype: {0}".format(matplotlib.ft2font.__freetype_version__)] def pytest_addoption(parser): group = parser.getgroup("matplotlib image comparison") group.addoption('--mpl', action='store_true', help="Enable comparison of matplotlib figures to reference files") group.addoption('--mpl-generate-path', help="directory to generate reference images in, relative " "to location where py.test is run", action='store') group.addoption('--mpl-baseline-path', help="directory containing baseline images, relative to " "location where py.test is run. This can also be a URL or a " "set of comma-separated URLs (in case mirrors are " "specified)", action='store') results_path_help = "directory for test results, relative to location where py.test is run" group.addoption('--mpl-results-path', help=results_path_help, action='store') parser.addini('mpl-results-path', help=results_path_help) def pytest_configure(config): if config.getoption("--mpl") or config.getoption("--mpl-generate-path") is not None: baseline_dir = config.getoption("--mpl-baseline-path") generate_dir = config.getoption("--mpl-generate-path") results_dir = config.getoption("--mpl-results-path") or config.getini("mpl-results-path") # Note that results_dir is an empty string if not specified if not results_dir: results_dir = None if generate_dir is not None: if baseline_dir is not None: warnings.warn("Ignoring --mpl-baseline-path since --mpl-generate-path is set") if results_dir is not None and generate_dir is not None: warnings.warn("Ignoring --mpl-result-path since --mpl-generate-path is set") if baseline_dir is not None: baseline_dir = os.path.abspath(baseline_dir) if generate_dir is not None: baseline_dir = os.path.abspath(generate_dir) if results_dir is not None: results_dir = os.path.abspath(results_dir) config.pluginmanager.register(ImageComparison(config, baseline_dir=baseline_dir, generate_dir=generate_dir, results_dir=results_dir)) else: config.pluginmanager.register(FigureCloser(config)) @contextlib.contextmanager def switch_backend(backend): import matplotlib import matplotlib.pyplot as plt prev_backend = matplotlib.get_backend().lower() if prev_backend != backend.lower(): plt.switch_backend(backend) yield plt.switch_backend(prev_backend) else: yield class ImageComparison(object): def __init__(self, config, baseline_dir=None, generate_dir=None, results_dir=None): self.config = config self.baseline_dir = baseline_dir self.generate_dir = generate_dir self.results_dir = results_dir if self.results_dir and not os.path.exists(self.results_dir): os.mkdir(self.results_dir) def pytest_runtest_setup(self, item): compare = item.keywords.get('mpl_image_compare') if compare is None: return import matplotlib import matplotlib.pyplot as plt from matplotlib.figure import Figure from matplotlib.testing.compare import compare_images from matplotlib.testing.decorators import ImageComparisonTest as MplImageComparisonTest try: from matplotlib.testing.decorators import remove_ticks_and_titles except ImportError: remove_ticks_and_titles = MplImageComparisonTest.remove_text MPL_LT_15 = LooseVersion(matplotlib.__version__) < LooseVersion('1.5') tolerance = compare.kwargs.get('tolerance', 2) savefig_kwargs = compare.kwargs.get('savefig_kwargs', {}) style = compare.kwargs.get('style', 'classic') remove_text = compare.kwargs.get('remove_text', False) backend = compare.kwargs.get('backend', 'agg') if MPL_LT_15 and style == 'classic': style = os.path.join(os.path.dirname(__file__), 'classic.mplstyle') original = item.function @wraps(item.function) def item_function_wrapper(*args, **kwargs): baseline_dir = compare.kwargs.get('baseline_dir', None) if baseline_dir is None: if self.baseline_dir is None: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), 'baseline') else: baseline_dir = self.baseline_dir baseline_remote = False else: baseline_remote = baseline_dir.startswith(('http://', 'https://')) if not baseline_remote: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir) with plt.style.context(style), switch_backend(backend): # Run test and get figure object if inspect.ismethod(original): # method # In some cases, for example if setup_method is used, # original appears to belong to an instance of the test # class that is not the same as args[0], and args[0] is the # one that has the correct attributes set up from setup_method # so we ignore original.__self__ and use args[0] instead. fig = original.__func__(*args, **kwargs) else: # function fig = original(*args, **kwargs) if remove_text: remove_ticks_and_titles(fig) # Find test name to use as plot name filename = compare.kwargs.get('filename', None) if filename is None: filename = item.name + '.png' filename = filename.replace('[', '_').replace(']', '_') filename = filename.replace('/', '_') filename = filename.replace('_.png', '.png') # What we do now depends on whether we are generating the # reference images or simply running the test. if self.generate_dir is None: # Save the figure result_dir = tempfile.mkdtemp(dir=self.results_dir) test_image = os.path.abspath(os.path.join(result_dir, filename)) fig.savefig(test_image, **savefig_kwargs) # We only need to close actual Matplotlib figure objects. If # we are dealing with a figure-like object that provides # savefig but is not a real Matplotlib object, we shouldn't # try closing it here. if isinstance(fig, Figure): plt.close(fig) # Find path to baseline image if baseline_remote: baseline_image_ref = _download_file(baseline_dir, filename) else: baseline_image_ref = os.path.abspath(os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir, filename)) if not os.path.exists(baseline_image_ref): pytest.fail("Image file not found for comparison test. " "(This is expected for new tests.)\nGenerated Image: " "\n\t{test}".format(test=test_image), pytrace=False) # distutils may put the baseline images in non-accessible places, # copy to our tmpdir to be sure to keep them in case of failure baseline_image = os.path.abspath(os.path.join(result_dir, 'baseline-' + filename)) shutil.copyfile(baseline_image_ref, baseline_image) msg = compare_images(baseline_image, test_image, tol=tolerance) if msg is None: shutil.rmtree(result_dir) else: pytest.fail(msg, pytrace=False) else: if not os.path.exists(self.generate_dir): os.makedirs(self.generate_dir) fig.savefig(os.path.abspath(os.path.join(self.generate_dir, filename)), **savefig_kwargs) plt.close(fig) pytest.skip("Skipping test, since generating data") if item.cls is not None: setattr(item.cls, item.function.__name__, item_function_wrapper) else: item.obj = item_function_wrapper class FigureCloser(object): """ This is used in place of ImageComparison when the --mpl option is not used, to make sure that we still close figures returned by tests. """ def __init__(self, config): self.config = config def pytest_runtest_setup(self, item): compare = item.keywords.get('mpl_image_compare') if compare is None: return import matplotlib.pyplot as plt from matplotlib.figure import Figure original = item.function @wraps(item.function) def item_function_wrapper(*args, **kwargs): if inspect.ismethod(original): # method fig = original.__func__(*args, **kwargs) else: # function fig = original(*args, **kwargs) # We only need to close actual Matplotlib figure objects. If # we are dealing with a figure-like object that provides # savefig but is not a real Matplotlib object, we shouldn't # try closing it here. if isinstance(fig, Figure): plt.close(fig) if item.cls is not None: setattr(item.cls, item.function.__name__, item_function_wrapper) else: item.obj = item_function_wrapper pytest-mpl-0.9/pytest_mpl.egg-info/0000755000077000000240000000000013167753712017324 5ustar tomstaff00000000000000pytest-mpl-0.9/pytest_mpl.egg-info/dependency_links.txt0000644000077000000240000000000113167753712023372 0ustar tomstaff00000000000000 pytest-mpl-0.9/pytest_mpl.egg-info/entry_points.txt0000644000077000000240000000005313167753712022620 0ustar tomstaff00000000000000[pytest11] pytest_mpl = pytest_mpl.plugin pytest-mpl-0.9/pytest_mpl.egg-info/PKG-INFO0000644000077000000240000002635613167753712020435 0ustar tomstaff00000000000000Metadata-Version: 1.1 Name: pytest-mpl Version: 0.9 Summary: pytest plugin to help with testing figures output from Matplotlib Home-page: https://github.com/matplotlib/pytest-mpl Author: Thomas Robitaille Author-email: thomas.robitaille@gmail.com License: BSD Description: |Travis Build Status| |AppVeyor Build status| |Coveralls coverage| About ----- This is a plugin to facilitate image comparison for `Matplotlib `__ figures in pytest. Matplotlib includes a number of test utilities and decorators, but these are geared towards the `nose `__ testing framework. Pytest-mpl makes it easy to compare figures produced by tests to reference images when using `pytest `__. For each figure to test, the reference image is subtracted from the generated image, and the RMS of the residual is compared to a user-specified tolerance. If the residual is too large, the test will fail (this is implemented using helper functions from ``matplotlib.testing``). For more information on how to write tests to do this, see the **Using** section below. Installing ---------- This plugin is compatible with Python 2.6, 2.7, and 3.3 and later, and requires `pytest `__, `matplotlib `__ and `nose `__ to be installed (nose is required by Matplotlib). To install, you can do: :: pip install pytest-mpl You can check that the plugin is registered with pytest by doing: :: py.test --version which will show a list of plugins: :: This is pytest version 2.7.1, imported from ... setuptools registered plugins: pytest-mpl-0.1 at ... Using ----- To use, you simply need to mark the function where you want to compare images using ``@pytest.mark.mpl_image_compare``, and make sure that the function returns a Matplotlib figure (or any figure object that has a ``savefig`` method): .. code:: python import pytest import matplotlib.pyplot as plt @pytest.mark.mpl_image_compare def test_succeeds(): fig = plt.figure() ax = fig.add_subplot(1,1,1) ax.plot([1,2,3]) return fig To generate the baseline images, run the tests with the ``--mpl-generate-path`` option with the name of the directory where the generated images should be placed: :: py.test --mpl-generate-path=baseline If the directory does not exist, it will be created. The directory will be interpreted as being relative to where you are running ``py.test``. Once you are happy with the generated images, you should move them to a sub-directory called ``baseline`` relative to the test files (this name is configurable, see below). You can also generate the baseline images directly in the right directory. You can then run the tests simply with: :: py.test --mpl and the tests will pass if the images are the same. If you omit the ``--mpl`` option, the tests will run but will only check that the code runs without checking the output images. Options ------- Tolerance ^^^^^^^^^ The RMS tolerance for the image comparison (which defaults to 2) can be specified in the ``mpl_image_compare`` decorator with the ``tolerance`` argument: .. code:: python @pytest.mark.mpl_image_compare(tolerance=20) def test_image(): ... Savefig options ^^^^^^^^^^^^^^^ You can pass keyword arguments to ``savefig`` by using ``savefig_kwargs`` in the ``mpl_image_compare`` decorator: .. code:: python @pytest.mark.mpl_image_compare(savefig_kwargs={'dpi':300}) def test_image(): ... Baseline images ^^^^^^^^^^^^^^^ The baseline directory (which defaults to ``baseline`` ) and the filename of the plot (which defaults to the name of the test with a ``.png`` suffix) can be customized with the ``baseline_dir`` and ``filename`` arguments in the ``mpl_image_compare`` decorator: .. code:: python @pytest.mark.mpl_image_compare(baseline_dir='baseline_images', filename='other_name.png') def test_image(): ... The baseline directory in the decorator above will be interpreted as being relative to the test file. Note that the baseline directory can also be a URL (which should start with ``http://`` or ``https://`` and end in a slash). If you want to specify mirrors, set ``baseline_dir`` to a comma-separated list of URLs (real commas in the URL should be encoded as ``%2C``). Finally, you can also set a custom baseline directory globally when running tests by running ``py.test`` with: :: py.test --mpl --mpl-baseline-path=baseline_images This directory will be interpreted as being relative to where the tests are run. In addition, if both this option and the ``baseline_dir`` option in the ``mpl_image_compare`` decorator are used, the one in the decorator takes precedence. Base style ^^^^^^^^^^ By default, tests will be run using the Matplotlib 'classic' style (ignoring any locally defined RC parameters). This can be overriden by using the ``style`` argument: .. code:: python @pytest.mark.mpl_image_compare(style='fivethirtyeight') def test_image(): ... Removing text ^^^^^^^^^^^^^ If you are running a test for which you are not interested in comparing the text labels, you can use the ``remove_text`` argument to the decorator: .. code:: python @pytest.mark.mpl_image_compare(remove_text=True) def test_image(): ... This will make the test insensitive to changes in e.g. the freetype library. Test failure example -------------------- If the images produced by the tests are correct, then the test will pass, but if they are not, the test will fail with a message similar to the following: :: E Exception: Error: Image files did not match. E RMS Value: 142.2287807767823 E Expected: E /var/folders/zy/t1l3sx310d3d6p0kyxqzlrnr0000gr/T/tmp4h4oxr7y/baseline-coords_overlay_auto_coord_meta.png E Actual: E /var/folders/zy/t1l3sx310d3d6p0kyxqzlrnr0000gr/T/tmp4h4oxr7y/coords_overlay_auto_coord_meta.png E Difference: E /var/folders/zy/t1l3sx310d3d6p0kyxqzlrnr0000gr/T/tmp4h4oxr7y/coords_overlay_auto_coord_meta-failed-diff.png E Tolerance: E 10 The image paths included in the exception are then available for inspection: +----------------+----------------+-------------+ | Expected | Actual | Difference | +================+================+=============+ | |expected| | |actual| | |diff| | +----------------+----------------+-------------+ In this case, the differences are very clear, while in some cases it may be necessary to use the difference image, or blink the expected and actual images, in order to see what changed. The default tolerance is 2, which is very strict. In some cases, you may want to relax this to account for differences in fonts across different systems. By default, the expected, actual and difference files are written to a temporary directory with a non-deterministic path. If you want to instead write them to a specific directory, you can use:: py.test --mpl --mpl-results-path=results The ``results`` directory will then contain one sub-directory per test, and each sub-directory will contain the three files mentioned above. If you are using a continuous integration service, you can then use the option to upload artifacts to upload these results to somewhere where you can view them. For more information, see: * `Uploading artifacts on Travis-CI `_ * `Build Artifacts (CircleCI) `_ * `Packaging Artifacts (AppVeyor) `_ Running the tests for pytest-mpl -------------------------------- If you are contributing some changes and want to run the tests, first install the latest version of the plugin then do: :: cd tests py.test --mpl The reason for having to install the plugin first is to ensure that the plugin is correctly loaded as part of the test suite. .. |Travis Build Status| image:: https://travis-ci.org/matplotlib/pytest-mpl.svg?branch=master :target: https://travis-ci.org/matplotlib/pytest-mpl .. |AppVeyor Build status| image:: https://ci.appveyor.com/api/projects/status/mf7hs44scg5mvcyo?svg=true :target: https://ci.appveyor.com/project/astrofrog/pytest-mpl .. |Coveralls coverage| image:: https://coveralls.io/repos/matplotlib/pytest-mpl/badge.svg :target: https://coveralls.io/r/matplotlib/pytest-mpl .. |expected| image:: images/baseline-coords_overlay_auto_coord_meta.png .. |actual| image:: images/coords_overlay_auto_coord_meta.png .. |diff| image:: images/coords_overlay_auto_coord_meta-failed-diff.png Platform: UNKNOWN Classifier: Development Status :: 4 - Beta Classifier: Framework :: Pytest Classifier: Intended Audience :: Developers Classifier: Topic :: Software Development :: Testing Classifier: Topic :: Scientific/Engineering :: Visualization Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 2 Classifier: Programming Language :: Python :: 3 Classifier: Operating System :: OS Independent Classifier: License :: OSI Approved :: BSD License pytest-mpl-0.9/pytest_mpl.egg-info/requires.txt0000644000077000000240000000002713167753712021723 0ustar tomstaff00000000000000pytest matplotlib nose pytest-mpl-0.9/pytest_mpl.egg-info/SOURCES.txt0000644000077000000240000000215713167753712021215 0ustar tomstaff00000000000000CHANGES.md LICENSE MANIFEST.in README.rst setup.py tox.ini images/baseline-coords_overlay_auto_coord_meta.png images/coords_overlay_auto_coord_meta-failed-diff.png images/coords_overlay_auto_coord_meta.png pytest_mpl/__init__.py pytest_mpl/classic.mplstyle pytest_mpl/plugin.py pytest_mpl.egg-info/PKG-INFO pytest_mpl.egg-info/SOURCES.txt pytest_mpl.egg-info/dependency_links.txt pytest_mpl.egg-info/entry_points.txt pytest_mpl.egg-info/requires.txt pytest_mpl.egg-info/top_level.txt tests/test_pytest_mpl.py tests/baseline/1.5.x/test_dpi.png tests/baseline/1.5.x/test_parametrized_5.png tests/baseline/1.5.x/test_parametrized_50.png tests/baseline/1.5.x/test_parametrized_500.png tests/baseline/1.5.x/test_remove_text.png tests/baseline/1.5.x/test_succeeds.png tests/baseline/1.5.x/test_tolerance.png tests/baseline/2.0.x/test_base_style.png tests/baseline/2.0.x/test_dpi.png tests/baseline/2.0.x/test_parametrized_5.png tests/baseline/2.0.x/test_parametrized_50.png tests/baseline/2.0.x/test_parametrized_500.png tests/baseline/2.0.x/test_remove_text.png tests/baseline/2.0.x/test_succeeds.png tests/baseline/2.0.x/test_tolerance.pngpytest-mpl-0.9/pytest_mpl.egg-info/top_level.txt0000644000077000000240000000001313167753712022050 0ustar tomstaff00000000000000pytest_mpl pytest-mpl-0.9/README.rst0000644000077000000240000002067413167753525015134 0ustar tomstaff00000000000000|Travis Build Status| |AppVeyor Build status| |Coveralls coverage| About ----- This is a plugin to facilitate image comparison for `Matplotlib `__ figures in pytest. Matplotlib includes a number of test utilities and decorators, but these are geared towards the `nose `__ testing framework. Pytest-mpl makes it easy to compare figures produced by tests to reference images when using `pytest `__. For each figure to test, the reference image is subtracted from the generated image, and the RMS of the residual is compared to a user-specified tolerance. If the residual is too large, the test will fail (this is implemented using helper functions from ``matplotlib.testing``). For more information on how to write tests to do this, see the **Using** section below. Installing ---------- This plugin is compatible with Python 2.6, 2.7, and 3.3 and later, and requires `pytest `__, `matplotlib `__ and `nose `__ to be installed (nose is required by Matplotlib). To install, you can do: :: pip install pytest-mpl You can check that the plugin is registered with pytest by doing: :: py.test --version which will show a list of plugins: :: This is pytest version 2.7.1, imported from ... setuptools registered plugins: pytest-mpl-0.1 at ... Using ----- To use, you simply need to mark the function where you want to compare images using ``@pytest.mark.mpl_image_compare``, and make sure that the function returns a Matplotlib figure (or any figure object that has a ``savefig`` method): .. code:: python import pytest import matplotlib.pyplot as plt @pytest.mark.mpl_image_compare def test_succeeds(): fig = plt.figure() ax = fig.add_subplot(1,1,1) ax.plot([1,2,3]) return fig To generate the baseline images, run the tests with the ``--mpl-generate-path`` option with the name of the directory where the generated images should be placed: :: py.test --mpl-generate-path=baseline If the directory does not exist, it will be created. The directory will be interpreted as being relative to where you are running ``py.test``. Once you are happy with the generated images, you should move them to a sub-directory called ``baseline`` relative to the test files (this name is configurable, see below). You can also generate the baseline images directly in the right directory. You can then run the tests simply with: :: py.test --mpl and the tests will pass if the images are the same. If you omit the ``--mpl`` option, the tests will run but will only check that the code runs without checking the output images. Options ------- Tolerance ^^^^^^^^^ The RMS tolerance for the image comparison (which defaults to 2) can be specified in the ``mpl_image_compare`` decorator with the ``tolerance`` argument: .. code:: python @pytest.mark.mpl_image_compare(tolerance=20) def test_image(): ... Savefig options ^^^^^^^^^^^^^^^ You can pass keyword arguments to ``savefig`` by using ``savefig_kwargs`` in the ``mpl_image_compare`` decorator: .. code:: python @pytest.mark.mpl_image_compare(savefig_kwargs={'dpi':300}) def test_image(): ... Baseline images ^^^^^^^^^^^^^^^ The baseline directory (which defaults to ``baseline`` ) and the filename of the plot (which defaults to the name of the test with a ``.png`` suffix) can be customized with the ``baseline_dir`` and ``filename`` arguments in the ``mpl_image_compare`` decorator: .. code:: python @pytest.mark.mpl_image_compare(baseline_dir='baseline_images', filename='other_name.png') def test_image(): ... The baseline directory in the decorator above will be interpreted as being relative to the test file. Note that the baseline directory can also be a URL (which should start with ``http://`` or ``https://`` and end in a slash). If you want to specify mirrors, set ``baseline_dir`` to a comma-separated list of URLs (real commas in the URL should be encoded as ``%2C``). Finally, you can also set a custom baseline directory globally when running tests by running ``py.test`` with: :: py.test --mpl --mpl-baseline-path=baseline_images This directory will be interpreted as being relative to where the tests are run. In addition, if both this option and the ``baseline_dir`` option in the ``mpl_image_compare`` decorator are used, the one in the decorator takes precedence. Base style ^^^^^^^^^^ By default, tests will be run using the Matplotlib 'classic' style (ignoring any locally defined RC parameters). This can be overriden by using the ``style`` argument: .. code:: python @pytest.mark.mpl_image_compare(style='fivethirtyeight') def test_image(): ... Removing text ^^^^^^^^^^^^^ If you are running a test for which you are not interested in comparing the text labels, you can use the ``remove_text`` argument to the decorator: .. code:: python @pytest.mark.mpl_image_compare(remove_text=True) def test_image(): ... This will make the test insensitive to changes in e.g. the freetype library. Test failure example -------------------- If the images produced by the tests are correct, then the test will pass, but if they are not, the test will fail with a message similar to the following: :: E Exception: Error: Image files did not match. E RMS Value: 142.2287807767823 E Expected: E /var/folders/zy/t1l3sx310d3d6p0kyxqzlrnr0000gr/T/tmp4h4oxr7y/baseline-coords_overlay_auto_coord_meta.png E Actual: E /var/folders/zy/t1l3sx310d3d6p0kyxqzlrnr0000gr/T/tmp4h4oxr7y/coords_overlay_auto_coord_meta.png E Difference: E /var/folders/zy/t1l3sx310d3d6p0kyxqzlrnr0000gr/T/tmp4h4oxr7y/coords_overlay_auto_coord_meta-failed-diff.png E Tolerance: E 10 The image paths included in the exception are then available for inspection: +----------------+----------------+-------------+ | Expected | Actual | Difference | +================+================+=============+ | |expected| | |actual| | |diff| | +----------------+----------------+-------------+ In this case, the differences are very clear, while in some cases it may be necessary to use the difference image, or blink the expected and actual images, in order to see what changed. The default tolerance is 2, which is very strict. In some cases, you may want to relax this to account for differences in fonts across different systems. By default, the expected, actual and difference files are written to a temporary directory with a non-deterministic path. If you want to instead write them to a specific directory, you can use:: py.test --mpl --mpl-results-path=results The ``results`` directory will then contain one sub-directory per test, and each sub-directory will contain the three files mentioned above. If you are using a continuous integration service, you can then use the option to upload artifacts to upload these results to somewhere where you can view them. For more information, see: * `Uploading artifacts on Travis-CI `_ * `Build Artifacts (CircleCI) `_ * `Packaging Artifacts (AppVeyor) `_ Running the tests for pytest-mpl -------------------------------- If you are contributing some changes and want to run the tests, first install the latest version of the plugin then do: :: cd tests py.test --mpl The reason for having to install the plugin first is to ensure that the plugin is correctly loaded as part of the test suite. .. |Travis Build Status| image:: https://travis-ci.org/matplotlib/pytest-mpl.svg?branch=master :target: https://travis-ci.org/matplotlib/pytest-mpl .. |AppVeyor Build status| image:: https://ci.appveyor.com/api/projects/status/mf7hs44scg5mvcyo?svg=true :target: https://ci.appveyor.com/project/astrofrog/pytest-mpl .. |Coveralls coverage| image:: https://coveralls.io/repos/matplotlib/pytest-mpl/badge.svg :target: https://coveralls.io/r/matplotlib/pytest-mpl .. |expected| image:: images/baseline-coords_overlay_auto_coord_meta.png .. |actual| image:: images/coords_overlay_auto_coord_meta.png .. |diff| image:: images/coords_overlay_auto_coord_meta-failed-diff.png pytest-mpl-0.9/setup.cfg0000644000077000000240000000007313167753712015253 0ustar tomstaff00000000000000[egg_info] tag_build = tag_date = 0 tag_svn_revision = 0 pytest-mpl-0.9/setup.py0000644000077000000240000000266513133617760015150 0ustar tomstaff00000000000000from setuptools import setup from pytest_mpl import __version__ # IMPORTANT: we deliberately use rst here instead of markdown because long_description # needs to be in rst, and requiring pandoc to be installed to convert markdown to rst # on-the-fly is over-complicated and sometimes the generated rst has warnings that # cause PyPI to not display it correctly. with open('README.rst') as infile: long_description = infile.read() setup( version=__version__, url="https://github.com/matplotlib/pytest-mpl", name="pytest-mpl", description='pytest plugin to help with testing figures output from Matplotlib', long_description=long_description, packages=['pytest_mpl'], package_data={'pytest_mpl': ['classic.mplstyle']}, install_requires=['pytest', 'matplotlib', 'nose'], license='BSD', author='Thomas Robitaille', author_email='thomas.robitaille@gmail.com', entry_points={'pytest11': ['pytest_mpl = pytest_mpl.plugin']}, classifiers=[ 'Development Status :: 4 - Beta', 'Framework :: Pytest', 'Intended Audience :: Developers', 'Topic :: Software Development :: Testing', 'Topic :: Scientific/Engineering :: Visualization', 'Programming Language :: Python', 'Programming Language :: Python :: 2', 'Programming Language :: Python :: 3', 'Operating System :: OS Independent', 'License :: OSI Approved :: BSD License', ], ) pytest-mpl-0.9/tests/0000755000077000000240000000000013167753712014574 5ustar tomstaff00000000000000pytest-mpl-0.9/tests/baseline/0000755000077000000240000000000013167753712016356 5ustar 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The following tries an invalid URL first (or at least a URL where the baseline # image won't exist), but should succeed with the second mirror. @pytest.mark.mpl_image_compare(baseline_dir='http://www.python.org,' + baseline_dir_remote, filename='test_succeeds_remote.png') def test_succeeds_faulty_mirror(): fig = plt.figure() ax = fig.add_subplot(1, 1, 1) ax.plot([1, 2, 3]) return fig class TestClass(object): @pytest.mark.mpl_image_compare(baseline_dir=baseline_dir_local) def test_succeeds(self): fig = plt.figure() ax = fig.add_subplot(1, 1, 1) ax.plot([1, 2, 3]) return fig @pytest.mark.mpl_image_compare(baseline_dir=baseline_dir_local, savefig_kwargs={'dpi': 30}) def test_dpi(): fig = plt.figure() ax = fig.add_subplot(1, 1, 1) ax.plot([1, 2, 3]) return fig TEST_FAILING = """ import pytest import matplotlib.pyplot as plt @pytest.mark.mpl_image_compare def test_fail(): fig = plt.figure() ax = fig.add_subplot(1,1,1) ax.plot([1,2,2]) return fig """ def test_fails(tmpdir): test_file = tmpdir.join('test.py').strpath with open(test_file, 'w') as f: f.write(TEST_FAILING) # If we use --mpl, it should detect that the figure is wrong code = subprocess.call('py.test --mpl {0}'.format(test_file), shell=True) assert code != 0 # If we don't use --mpl option, the test should succeed code = subprocess.call('py.test {0}'.format(test_file), shell=True) assert code == 0 TEST_OUTPUT_DIR = """ import pytest import matplotlib.pyplot as plt @pytest.mark.mpl_image_compare def test_output_dir(): fig = plt.figure() ax = fig.add_subplot(1, 1, 1) ax.plot([1, 2, 3]) return fig """ def test_output_dir(tmpdir): test_file = tmpdir.join('test.py').strpath with open(test_file, 'w') as f: f.write(TEST_OUTPUT_DIR) # When we run the test, we should get output images where we specify output_dir = tmpdir.join('test_output_dir').strpath code = subprocess.call('py.test --mpl-results-path={0} --mpl {1}'.format(output_dir, test_file), shell=True) assert code != 0 assert os.path.exists(output_dir) # Listdir() is to get the random name that the output for the one test is written into assert os.path.exists(os.path.join(output_dir, os.listdir(output_dir)[0], 'test_output_dir.png')) TEST_GENERATE = """ import pytest import matplotlib.pyplot as plt @pytest.mark.mpl_image_compare def test_gen(): fig = plt.figure() ax = fig.add_subplot(1,1,1) ax.plot([1,2,3]) return fig """ # TODO: We skip the following test on Windows since the first subprocess calls. # This should be fixed in the long term, but is not critical since we already # test this on Linux. @pytest.mark.skipif("WIN") def test_generate(tmpdir): test_file = tmpdir.join('test.py').strpath with open(test_file, 'w') as f: f.write(TEST_GENERATE) gen_dir = tmpdir.mkdir('spam').mkdir('egg').strpath # If we don't generate, the test will fail p = subprocess.Popen('py.test --mpl {0}'.format(test_file), shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) p.wait() assert b'Image file not found for comparison test' in p.stdout.read() # If we do generate, the test should succeed and a new file will appear code = subprocess.call('py.test --mpl-generate-path={0} {1}'.format(gen_dir, test_file), shell=True) assert code == 0 assert os.path.exists(os.path.join(gen_dir, 'test_gen.png')) @pytest.mark.mpl_image_compare(baseline_dir=baseline_dir_local, tolerance=20) def test_tolerance(): fig = plt.figure() ax = fig.add_subplot(1, 1, 1) ax.plot([1, 2, 2]) return fig def test_nofigure(): pass @pytest.mark.skipif(MPL_LT_2, reason="the fivethirtyeight style is only available in Matplotlib 2.0 and later") @pytest.mark.mpl_image_compare(baseline_dir=baseline_dir_local, style='fivethirtyeight') def test_base_style(): fig = plt.figure() ax = fig.add_subplot(1, 1, 1) ax.plot([1, 2, 3]) return fig @pytest.mark.mpl_image_compare(baseline_dir=baseline_dir_local, remove_text=True) def test_remove_text(): fig = plt.figure() ax = fig.add_subplot(1, 1, 1) ax.plot([1, 2, 3]) return fig @pytest.mark.parametrize('s', [5, 50, 500]) @pytest.mark.mpl_image_compare(baseline_dir=baseline_dir_local, remove_text=True) def test_parametrized(s): fig = plt.figure() ax = fig.add_subplot(1, 1, 1) ax.scatter([1,3,4,3,2],[1,4,3,3,1], s=s) return fig class TestClassWithSetup(object): # Regression test for a bug that occurred when using setup_method def setup_method(self, method): self.x = [1, 2, 3] @pytest.mark.mpl_image_compare(baseline_dir=baseline_dir_local, filename='test_succeeds.png') def test_succeeds(self): fig = plt.figure() ax = fig.add_subplot(1, 1, 1) ax.plot(self.x) return fig pytest-mpl-0.9/tox.ini0000644000077000000240000000015213133617760014736 0ustar tomstaff00000000000000[tox] envlist = py27,py33 [testenv] deps= pytest matplotlib nose commands=py.test --mpl tests