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IHDR a gAMA |Q cHRM R @ }y < s %s Pierre Raybaut
Python %s, Qt %s, PyQt %s %s %s""" % \
(APP_NAME, VERSION, APP_DESC, _("Developped by"),
platform.python_version(),
QT_VERSION_STR, PYQT_VERSION_STR, _("on"), platform.system()) )
def closeEvent(self, event):
if self.console is not None:
self.console.exit_interpreter()
event.accept()
def run():
from guidata import qapplication
app = qapplication()
window = MainWindow()
window.show()
app.exec_()
if __name__ == '__main__':
run() guiqwt-2.3.1/guiqwt/tests/benchmarks.py 0000666 0000000 0000000 00000010570 12144123504 016707 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2011 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
"""guiqwt plot benchmarking"""
from __future__ import print_function
SHOW = False # Show test in GUI-based test launcher
import time
import numpy as np
from guidata.qt.QtGui import QApplication
from guiqwt.plot import CurveWindow, ImageWindow
from guiqwt.builder import make
class BaseBM(object):
"""Benchmark object"""
MAKE_FUNC = None
WIN_CLASS = None
def __init__(self, name, nsamples, **options):
self.name = name
self.nsamples = nsamples
self.options = options
self._item = None
def compute_data(self):
raise NotImplementedError
def make_item(self):
data = self.compute_data()
self._item = self.MAKE_FUNC(*data, **self.options)
def add_to_plot(self, plot):
assert self._item is not None
plot.add_item(self._item)
def start(self, close=False):
# Create plot window
win = self.WIN_CLASS(toolbar=True, wintitle=self.name)
win.show()
QApplication.processEvents()
plot = win.get_plot()
# Create item (ignore this step in benchmark result!)
self.make_item()
# Benchmarking
t0 = time.time()
self.add_to_plot(plot)
print(self.name+':')
print(" N = %d" % self.nsamples)
plot.replot() # Force replot
print(" dt = %d ms" % ((time.time()-t0)*1e3))
if close:
win.close()
class CurveBM(BaseBM):
MAKE_FUNC = make.curve
WIN_CLASS = CurveWindow
def compute_data(self):
x = np.linspace(-10, 10, self.nsamples)
y = np.sin(np.sin(np.sin(x)))
return x, y
class HistogramBM(CurveBM):
MAKE_FUNC = make.histogram
def compute_data(self):
data = np.random.normal(size=self.nsamples)
return (data, )
class ErrorBarBM(CurveBM):
MAKE_FUNC = make.merror
def __init__(self, name, nsamples, dx=False, **options):
super(ErrorBarBM, self).__init__(name, nsamples, **options)
self.dx = dx
def compute_data(self):
x, y = super(ErrorBarBM, self).compute_data()
if not self.dx:
return x, y, x/100.
else:
return x, y, x/100., x/20.
class ImageBM(BaseBM):
MAKE_FUNC = make.image
WIN_CLASS = ImageWindow
def compute_data(self):
data = np.zeros((self.nsamples, self.nsamples), dtype=np.float32)
m = 10
step = int(self.nsamples/m)
for i in range(m):
for j in range(m):
data[i*step:(i+1)*step, j*step:(j+1)*step] = i*m+j
return (data, )
class PColorBM(BaseBM):
MAKE_FUNC = make.pcolor
WIN_CLASS = ImageWindow
def compute_data(self):
N = self.nsamples
r, th = np.meshgrid(np.linspace(1., 16, N), np.linspace(0., np.pi, N))
x = r*np.cos(th)
y = r*np.sin(th)
z = 4*th+r
return x, y, z
def run():
"""Run benchmark"""
# Print informations banner
from guidata import qt
import guiqwt
qt_lib = {'pyqt': 'PyQt4', 'pyside': 'PySide'}[qt._modname]
title = "guiqwt plot benchmark [%s v%s (Qt v%s), guiqwt v%s]" %\
(qt_lib, qt.__version__, qt.QtCore.__version__, guiqwt.__version__)
print(title)
print('-'*len(title))
print()
import guidata
app = guidata.qapplication()
# Run benchmarks
close = True
for benchmark in (
CurveBM('Simple curve', 5e6),
CurveBM('Curve with markers', 2e5,
marker="Ellipse", markersize=10),
CurveBM('Curve with sticks', 1e6,
curvestyle="Sticks"),
ErrorBarBM('Error bar curve (vertical bars only)', 1e4),
ErrorBarBM('Error bar curve (horizontal and vertical bars)', 1e4,
dx=True),
HistogramBM('Simple histogram', 1e6, bins=1e5),
PColorBM('Polar pcolor', 1e3),
ImageBM('Simple image', 7e3, interpolation='antialiasing'),
):
benchmark.start(close=close)
if not close:
app.exec_()
if __name__ == "__main__":
run()
guiqwt-2.3.1/guiqwt/tests/transform.py 0000666 0000000 0000000 00000011270 12147410202 016600 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2010 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
"""Tests around image transforms: rotation, translation, ..."""
from __future__ import print_function
SHOW = True # Show test in GUI-based test launcher
from guidata.qt.QtCore import QRectF
from guidata.qt.QtGui import QImage
import numpy as np
from guiqwt.image import assemble_imageitems
from guiqwt.plot import ImageDialog
from guiqwt.builder import make
from guiqwt import io
DEFAULT_CHARS = "".join([chr(c) for c in range(32, 256)])
def get_font_array(sz, chars=DEFAULT_CHARS):
from guidata.qt.QtGui import QFont, QPainter, QColor
font = QFont()
font.setFixedPitch(True)
font.setPixelSize(sz)
font.setStyleStrategy(QFont.NoAntialias)
dummy = QImage(10, 10, QImage.Format_ARGB32)
pnt = QPainter(dummy)
pnt.setFont(font)
metric = pnt.fontMetrics()
rct = metric.boundingRect(chars)
pnt.end()
h = rct.height()
w = rct.width()
img = QImage(w, h, QImage.Format_ARGB32)
paint = QPainter()
paint.begin(img)
paint.setFont(font)
paint.setBrush( QColor(255, 255, 255) )
paint.setPen( QColor(255, 255, 255) )
paint.drawRect(0, 0, w+1, h+1)
paint.setPen( QColor(0, 0, 0))
paint.setBrush( QColor(0, 0, 0) )
paint.drawText(0, paint.fontMetrics().ascent(), chars)
paint.end()
try:
data = img.bits().asstring(img.numBytes())
except SystemError:
# Python 3
return
npy = np.frombuffer(data, np.uint8)
npy.shape = img.height(), img.bytesPerLine()/4, 4
return npy[:,:, 0]
def txtwrite(data, x, y, sz, txt, range=None):
arr = get_font_array(sz, txt)
if arr is None:
return
if range is None:
m, M = data.min(), data.max()
else:
m, M = range
z = (float(M)-float(m))*np.array(arr, float)/255.+m
arr = np.array(z, data.dtype)
dy, dx = arr.shape
data[y:y+dy, x:x+dx] = arr
def imshow(items, title=""):
gridparam = make.gridparam(background="black", minor_enabled=(False, False),
major_style=(".", "gray", 1))
win = ImageDialog(edit=False, toolbar=True, wintitle=title,
options=dict(gridparam=gridparam))
nc = int(np.sqrt(len(items))+1.0)
maxy = 0
y = 0
x = 0
w = None
plot = win.get_plot()
print("-"*80)
for i, item in enumerate(items):
h = item.boundingRect().height()
if i%nc==0:
x = 0
y += maxy
maxy = h
else:
x += w
maxy = max(maxy, h)
w = item.boundingRect().width()
item.set_transform(x, y, 0.0)
print("Adding item #%d..." % i, end=' ')
plot.add_item(item)
print("Done")
win.show()
win.exec_()
def compute_image(NX, NY):
BX, BY = 40, 40
img = np.random.normal(0, 100, size=(BX, BY))
timg = np.fft.fftshift(np.fft.fft2(img))
print(timg.shape)
cx = NX/2
cy = NY/2
bx2 = BX/2
by2 = BY/2
z=np.zeros( (NX, NY), np.complex64)
z[cx-bx2:cx-bx2+BX, cy-by2:cy-by2+BY] = timg
z = np.fft.ifftshift(z)
rev = np.fft.ifft2(z)
return np.abs(rev)
def get_bbox(items):
r = QRectF()
for it in items:
r = r.united(it.boundingRect())
return r
def save_image(name, data):
io.imwrite(name+".u16.tif", data, dtype=np.uint16, max_range=True)
io.imwrite(name+".u8.png", data, dtype=np.uint8, max_range=True)
def build_image(items):
r = get_bbox(items)
x, y, w, h = r.getRect()
print("Assemble test1:", w, "x", h)
dest = assemble_imageitems(items, r, w, h)
print("saving...")
save_image("test1.png", dest)
print("Assemble test2:", w/4, "x", h/4)
dest = assemble_imageitems(items, r, w/4, h/4)
save_image("test2.png", dest)
def test():
"""Test"""
N = 500
data = compute_image(N, N)
m = data.min()
M = data.max()
items = [make.trimage(data, alpha_mask=True, colormap="jet")]
for type in (np.uint8, np.uint16, np.int8, np.int16):
info = np.iinfo(type().dtype)
s = float((info.max-info.min))
a1 = s*(data-m)/(M-m)
img = np.array(a1+info.min, type)
txtwrite(img, 0, 0, N/15., str(type))
items.append(make.trimage(img, colormap="jet"))
imshow(items, title="Transform test (%dx%d images)" % (N, N))
return items
if __name__ == "__main__":
# -- Create QApplication
import guidata
_app = guidata.qapplication()
# --
items = test()
build_image(items) guiqwt-2.3.1/guiqwt/tests/histogram.py 0000666 0000000 0000000 00000001324 12144123504 016564 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2010 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
"""Histogram test"""
SHOW = True # Show test in GUI-based test launcher
from guiqwt.plot import CurveDialog
from guiqwt.builder import make
def test():
"""Test"""
from numpy.random import normal
data = normal(0, 1, (2000, ))
win = CurveDialog(edit=False, toolbar=True, wintitle="Histogram test")
plot = win.get_plot()
plot.add_item(make.histogram(data))
win.show()
win.exec_()
if __name__ == "__main__":
# Create QApplication
import guidata
_app = guidata.qapplication()
test() guiqwt-2.3.1/guiqwt/tests/qtdesigner.py 0000666 0000000 0000000 00000002052 12144123504 016733 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2010 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
# -*- coding: utf-8 -*-
"""
Testing guiqwt QtDesigner plugins
These plugins provide CurveWidget and ImageWidget objects
embedding in GUI layouts directly from QtDesigner.
"""
SHOW = True # Show test in GUI-based test launcher
import sys, os.path as osp
from guidata.qt.QtGui import QApplication
from guiqwt.qtdesigner import loadui
from guiqwt.builder import make
FormClass = loadui( osp.splitext(__file__)[0]+'.ui' )
class TestWindow(FormClass):
def __init__(self, image_data):
super(TestWindow, self).__init__()
plot = self.imagewidget.plot
plot.add_item(make.image(image_data))
self.setWindowTitle("QtDesigner plugins example")
if __name__ == "__main__":
app = QApplication(sys.argv)
from guiqwt.tests.image import compute_image
form = TestWindow( compute_image() )
form.show()
sys.exit(app.exec_())
guiqwt-2.3.1/guiqwt/tests/brain_cylinder.png 0000666 0000000 0000000 00000107374 12144123504 017723 0 ustar root root PNG
IHDR kXT sRGB gAMA a cHRM z& u0 ` : pQ< PLTE
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koĿ:6V'hhkguOgA??1oю7 | i[[O7~>|ކ_ ;X7/= x_v'kx] %s Pierre Raybaut
Python %s, Qt %s, PyQt %s %s %s""" % \
(APP_NAME, VERSION, _("Developped by"), platform.python_version(),
QT_VERSION_STR, PYQT_VERSION_STR, _("on"), platform.system()) )
#------I/O
def new_image(self):
"""Create a new image"""
imagenew = ImageParamNew(title=_("Create a new image"))
if not imagenew.edit(self):
return
image = ImageParam()
image.title = imagenew.title
if imagenew.type == 'zeros':
image.data = np.zeros((imagenew.width, imagenew.height))
elif imagenew.type == 'rand':
image.data = np.random.randn(imagenew.width, imagenew.height)
self.mainwidget.add_image(image)
def open_image(self):
"""Open image file"""
saved_in, saved_out, saved_err = sys.stdin, sys.stdout, sys.stderr
sys.stdout = None
filename, _filter = getopenfilename(self, _("Open"), "",
io.iohandler.get_filters('load'))
sys.stdin, sys.stdout, sys.stderr = saved_in, saved_out, saved_err
if filename:
self.mainwidget.add_image_from_file(filename)
if __name__ == '__main__':
from guidata import qapplication
app = qapplication()
window = MainWindow()
window.show()
app.exec_()
guiqwt-2.3.1/guiqwt/tests/cross_section_oblique.py 0000666 0000000 0000000 00000004026 12144123504 021166 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2011 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
"""Oblique averaged cross section test"""
SHOW = True # Show test in GUI-based test launcher
import os.path as osp
import guiqwt.cross_section
# debug mode shows the ROI in the top-left corner of the image plot:
guiqwt.cross_section.DEBUG = True
from guiqwt.plot import ImageDialog
from guiqwt.builder import make
from guiqwt.tools import ImageMaskTool
from guiqwt.cross_section import ObliqueCrossSection
from guiqwt.tools import ObliqueCrossSectionTool, OCSPanelTool
class OCSImageDialog(ImageDialog):
def register_image_tools(self):
ImageDialog.register_image_tools(self)
for tool in (ObliqueCrossSectionTool, OCSPanelTool, ImageMaskTool):
self.add_tool(tool)
def create_plot(self, options, row=0, column=0, rowspan=1, columnspan=1):
ImageDialog.create_plot(self, options, row, column, rowspan, columnspan)
ra_panel = ObliqueCrossSection(self)
splitter = self.plot_widget.xcsw_splitter
splitter.addWidget(ra_panel)
splitter.setStretchFactor(splitter.count()-1, 1)
splitter.setSizes(list(splitter.sizes())+[2])
self.add_panel(ra_panel)
def test():
"""Test"""
# -- Create QApplication
import guidata
_app = guidata.qapplication()
# --
win = OCSImageDialog(toolbar=True,
wintitle="Oblique averaged cross section test")
win.resize(600, 600)
# from guiqwt.tests.image import compute_image
# data = np.array((compute_image(4000, grid=False)+1)*32e3, dtype=np.uint16)
# image = make.maskedimage(data, colormap="bone", show_mask=True)
filename = osp.join(osp.dirname(__file__), "brain_cylinder.png")
image = make.maskedimage(filename=filename, colormap="bone")
plot = win.get_plot()
plot.add_item(image)
win.exec_()
if __name__ == "__main__":
test()
guiqwt-2.3.1/guiqwt/tests/hist2d_func.py 0000666 0000000 0000000 00000002530 12144123504 016777 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2012 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
"""2-D Histogram (with function) test"""
#SHOW = True # Show test in GUI-based test launcher
#TODO: change this test so that shown data means something...
from numpy import random, array, dot, concatenate
from guiqwt.plot import ImageDialog
from guiqwt.builder import make
from guiqwt.config import _
def hist2d_func(X, Y, Z):
win = ImageDialog(edit=True, toolbar=True,
wintitle="2-D Histogram X0=(0,1), X1=(-1,-1)")
hist2d = make.histogram2D(X, Y, 200, 200, Z=Z, computation=2)
curve = make.curve(X[::50], Y[::50],
linestyle='', marker='+', title=_("Markers"))
plot = win.get_plot()
plot.set_aspect_ratio(lock=False)
plot.set_antialiasing(False)
plot.add_item(hist2d)
plot.add_item(curve)
plot.set_item_visible(curve, False)
win.show()
win.exec_()
if __name__ == "__main__":
import guidata
_app = guidata.qapplication()
N = 150000
m = array([[ 1., .2], [-.2, 3.]])
X1 = random.normal(0, .3, size=(N, 2))
X2 = random.normal(0, .3, size=(N, 2))
X = concatenate((X1+[0, 1.], dot(X2, m)+[-1, -1.]))
hist2d_func(X[:, 0], X[:, 1], X[:, 0]+X[:, 1])
guiqwt-2.3.1/guiqwt/tests/loadsaveitems_pickle.py 0000666 0000000 0000000 00000007717 12144123504 020772 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2012 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
"""Load/save items using Python's pickle protocol"""
from __future__ import print_function
SHOW = True # Show test in GUI-based test launcher
# WARNING:
# This script requires read/write permissions on current directory
from guidata.qt.QtGui import QFont
import os
import os.path as osp
import numpy as np
from guiqwt.plot import ImageDialog
from guiqwt.builder import make
from guiqwt.shapes import PolygonShape, Axes
from guiqwt.tools import LoadItemsTool, SaveItemsTool, ImageMaskTool
def build_items():
x = np.linspace(-10, 10, 200)
y = np.sin(np.sin(np.sin(x)))
filename = osp.join(osp.dirname(__file__), "brain.png")
items = [
make.curve(x, y, color="b"),
make.image(filename=filename),
make.trimage(filename=filename),
make.maskedimage(filename=filename, colormap='gray',
show_mask=True, xdata=[0, 40], ydata=[0, 50]),
make.label("Relative position outside",
(x[0], y[0]), (-10, -10), "BR"),
make.label("Relative position inside",
(x[0], y[0]), (10, 10), "TL"),
make.label("Absolute position", "R", (0, 0), "R"),
make.legend("TR"),
make.rectangle(-3, -0.8, -0.5, -1., "rc1"),
make.segment(-3, -0.8, -0.5, -1., "se1"),
make.ellipse(-10, 0.0, 0, 0, "el1"),
make.annotated_rectangle(0.5, 0.8, 3, 1., "rc1", "tutu"),
make.annotated_segment(-1, -1, 1, 1., "rc1", "tutu"),
Axes( (0, 0), (1, 0), (0, 1) ),
PolygonShape(np.array([[150., 330.],
[270., 520.],
[470., 480.],
[520., 360.],
[460., 200.],
[250., 240.]])),
]
return items
class IOTest(object):
FNAME = None
def __init__(self):
self.dlg = None
@property
def plot(self):
if self.dlg is not None:
return self.dlg.get_plot()
def run(self):
"""Run test"""
self.create_dialog()
self.add_items()
self.dlg.exec_()
print("Saving items...", end=' ')
self.save_items()
print("OK")
def create_dialog(self):
self.dlg = dlg = ImageDialog(\
edit=False, toolbar=True, wintitle="Load/save test",
options=dict(title="Title", xlabel="xlabel", ylabel="ylabel"))
dlg.add_separator_tool()
dlg.add_tool(LoadItemsTool)
dlg.add_tool(SaveItemsTool)
dlg.add_tool(ImageMaskTool)
def add_items(self):
if os.access(self.FNAME, os.R_OK):
print("Restoring items...", end=' ')
self.restore_items()
print("OK")
else:
for item in build_items():
self.plot.add_item(item)
print("Building items and add them to plotting canvas", end=' ')
self.plot.set_axis_font("left", QFont("Courier"))
self.dlg.get_itemlist_panel().show()
self.plot.set_items_readonly(False)
def restore_items(self):
raise NotImplementedError
def save_items(self):
raise NotImplementedError
class PickleTest(IOTest):
FNAME = "loadsavecanvas.pickle"
def restore_items(self):
f = open(self.FNAME, "rb")
self.plot.restore_items(f)
def save_items(self):
f = open(self.FNAME, "wb")
self.plot.save_items(f)
if __name__ == "__main__":
import guidata
_app = guidata.qapplication()
test = PickleTest()
test.run()
guiqwt-2.3.1/guiqwt/tests/fontparam.py 0000666 0000000 0000000 00000000707 12144123504 016562 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2010 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
"""FontParam test"""
SHOW = False # Do not show test in GUI-based test launcher
from guiqwt.styles import FontParam
def test():
fp = FontParam()
fp.edit()
fp.edit()
if __name__ == '__main__':
import guidata
_app = guidata.qapplication()
test()
guiqwt-2.3.1/guiqwt/tests/manager.py 0000666 0000000 0000000 00000004561 12144123504 016207 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2010 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
"""PlotManager test"""
SHOW = True # Show test in GUI-based test launcher
import os.path as osp
from guidata.qt.QtGui import QMainWindow, QWidget, QGridLayout
from guiqwt.image import ImagePlot
from guiqwt.curve import PlotItemList
from guiqwt.histogram import ContrastAdjustment
from guiqwt.plot import PlotManager
from guiqwt.builder import make
class CentralWidget(QWidget):
def __init__(self, parent):
QWidget.__init__(self, parent)
layout = QGridLayout()
self.setLayout(layout)
self.plot1 = ImagePlot(self)
layout.addWidget(self.plot1, 0, 0, 1, 1)
self.plot2 = ImagePlot(self)
layout.addWidget(self.plot2, 1, 0, 1, 1)
self.contrast = ContrastAdjustment(self)
layout.addWidget(self.contrast, 2, 0, 1, 2)
self.itemlist = PlotItemList(self)
layout.addWidget(self.itemlist, 0, 1, 2, 1)
self.manager = PlotManager(self)
for plot in (self.plot1, self.plot2):
self.manager.add_plot(plot)
for panel in (self.itemlist, self.contrast):
self.manager.add_panel(panel)
def register_tools(self):
self.manager.register_all_image_tools()
class Window(QMainWindow):
def __init__(self):
QMainWindow.__init__(self)
filename = osp.join(osp.dirname(__file__), "brain.png")
image1 = make.image(filename=filename, title="Original", colormap='gray')
from guiqwt.tests.image import compute_image
image2 = make.image(compute_image())
widget = CentralWidget(self)
self.setCentralWidget(widget)
widget.plot1.add_item(image1)
widget.plot2.add_item(image2)
toolbar = self.addToolBar("tools")
widget.manager.add_toolbar(toolbar, id(toolbar))
# widget.manager.set_default_toolbar(toolbar)
widget.register_tools()
def test():
"""Test"""
# -- Create QApplication
import guidata
app = guidata.qapplication()
# --
win = Window()
win.show()
app.exec_()
if __name__ == "__main__":
test()
guiqwt-2.3.1/guiqwt/tests/pcolor.py 0000666 0000000 0000000 00000005346 12144123504 016075 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2010 CEA
# Ludovic Aubry
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
"""ImageDialog / Pcolor test"""
from __future__ import print_function
SHOW = True # Show test in GUI-based test launcher
import numpy as np
from guiqwt.plot import ImageDialog
from guiqwt.builder import make
def imshow( items ):
win = ImageDialog(edit=False, toolbar=True, options={"yreverse": False},
wintitle="Pcolor test")
plot = win.get_plot()
for item in items:
plot.add_item(item)
win.show()
win.exec_()
def polar_demo(N=300):
r = np.linspace(1., 16, N)
th= np.linspace(0., np.pi, N)
R, TH=np.meshgrid(r, th)
X = R*np.cos(TH)
Y = R*np.sin(TH)
Z = 4*TH+R + np.random.randint(-8, 8, size=(N, N))
ix = np.random.randint(N, size=(N/20,))
iy = np.random.randint(N, size=(N/20,))
Z[ix, iy] = np.nan
return X, Y, Z
def compute_quads(N=300):
X, Y, Z = polar_demo(N)
item = make.pcolor(X, Y, Z)
return [item]
def compute_quads2(N=4):
x = np.linspace(0, N-1, N)
X, Y = np.meshgrid(x, x)
Z = X**2+Y**2
Z = Z.reshape((8, 2))
item = make.pcolor(Z) # checks if X, Y are properly generated in make.pcolor
return [item]
def compute_quads3():
pi = np.pi
cos = np.cos
sin = np.sin
items = []
for i, t in enumerate( np.linspace(0, 2*pi, 16) ):
X = np.array( [[ 0.0, cos(t)],
[-sin(t), cos(t)-sin(t)]] )
Y = np.array( [[ 0.0, sin(t)],
[cos(t), sin(t)+cos(t)]] )
Z = np.array([[1., 2.], [3., 4.]])
item = make.pcolor(X-16+2*i, Y-3, Z)
items.append(item)
return items
def test():
"""Test"""
# -- Create QApplication
import guidata
_app = guidata.qapplication()
# --
items = compute_quads()+compute_quads3()
imshow(items)
def valgrind_test(K=200):
from guiqwt._scaler import _scale_quads
from time import time
X, Y, Z = polar_demo()
lut = (1.0, 0.0, None, np.zeros((1024, ), np.uint32))
offscreen = np.zeros((1200, 1920), np.uint32)
border = 1
flat = 0
uflat = 0.5
vflat = 0.5
interpolate = (flat, uflat, vflat)
src_rect = (X.min(), Y.min(), X.max(), Y.max())
dst_rect = (0, 0, 1920, 1200)
t0 = time()
for count in range(K):
dest = _scale_quads(X, Y, Z, src_rect,
offscreen, dst_rect,
lut, interpolate,
border)
print((time()-t0)/K, " secs per loop")
if __name__ == "__main__":
test()
#valgrind_test()
guiqwt-2.3.1/guiqwt/shapes.py 0000666 0000000 0000000 00000146503 12147410202 014716 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2010 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
"""
guiqwt.shapes
-------------
The `shapes` module provides geometrical shapes:
* :py:class:`guiqwt.shapes.PolygonShape`
* :py:class:`guiqwt.shapes.RectangleShape`
* :py:class:`guiqwt.shapes.ObliqueRectangleShape`
* :py:class:`guiqwt.shapes.PointShape`
* :py:class:`guiqwt.shapes.SegmentShape`
* :py:class:`guiqwt.shapes.EllipseShape`
* :py:class:`guiqwt.shapes.Axes`
* :py:class:`guiqwt.shapes.XRangeSelection`
A shape is a plot item (derived from QwtPlotItem) that may be displayed
on a 2D plotting widget like :py:class:`guiqwt.curve.CurvePlot`
or :py:class:`guiqwt.image.ImagePlot`.
.. seealso:: module :py:mod:`guiqwt.annotations`
Examples
~~~~~~~~
A shape may be created:
* from the associated plot item class (e.g. `RectangleShape` to create a
rectangle): the item properties are then assigned by creating the
appropriate style parameters object
(:py:class:`guiqwt.styles.ShapeParam`)
>>> from guiqwt.shapes import RectangleShape
>>> from guiqwt.styles import ShapeParam
>>> param = ShapeParam()
>>> param.title = 'My rectangle'
>>> rect_item = RectangleShape(0., 2., 4., 0., param)
* or using the `plot item builder` (see :py:func:`guiqwt.builder.make`):
>>> from guiqwt.builder import make
>>> rect_item = make.rectangle(0., 2., 4., 0., title='My rectangle')
Reference
~~~~~~~~~
.. autoclass:: PolygonShape
:members:
:inherited-members:
.. autoclass:: RectangleShape
:members:
:inherited-members:
.. autoclass:: ObliqueRectangleShape
:members:
:inherited-members:
.. autoclass:: PointShape
:members:
:inherited-members:
.. autoclass:: SegmentShape
:members:
:inherited-members:
.. autoclass:: EllipseShape
:members:
:inherited-members:
.. autoclass:: Axes
:members:
:inherited-members:
.. autoclass:: XRangeSelection
:members:
:inherited-members:
"""
import numpy as np
from math import fabs, sqrt, sin, cos, pi
from guidata.qt.QtGui import QPen, QBrush, QPolygonF, QTransform, QPainter
from guidata.qt.QtCore import Qt, QRectF, QPointF, QPoint, QLineF
from guidata.utils import assert_interfaces_valid, update_dataset
from guidata.py3compat import maxsize
# Local imports
from guiqwt.transitional import QwtPlotItem, QwtSymbol, QwtPlotMarker
from guiqwt.config import CONF, _
from guiqwt.interfaces import IBasePlotItem, IShapeItemType, ISerializableType
from guiqwt.styles import (MarkerParam, ShapeParam, RangeShapeParam,
AxesShapeParam, MARKERSTYLES)
from guiqwt.signals import (SIG_RANGE_CHANGED, SIG_MARKER_CHANGED,
SIG_AXES_CHANGED, SIG_ITEM_MOVED)
from guiqwt.geometry import (vector_norm, vector_projection, vector_rotation,
compute_center)
from guiqwt.baseplot import canvas_to_axes
class AbstractShape(QwtPlotItem):
"""Interface pour les objets manipulables
il n'est pas nécessaire de dériver de QwtShape si on
réutilise une autre classe dérivée de QwtPlotItem
La classe de base
"""
__implements__ = (IBasePlotItem,)
_readonly = False
_private = False
_can_select = True
_can_resize = True
_can_rotate = False #TODO: implement shape rotation?
_can_move = True
def __init__(self):
super(AbstractShape, self).__init__()
self.selected = False
#------IBasePlotItem API----------------------------------------------------
def set_selectable(self, state):
"""Set item selectable state"""
self._can_select = state
def set_resizable(self, state):
"""Set item resizable state
(or any action triggered when moving an handle, e.g. rotation)"""
self._can_resize = state
def set_movable(self, state):
"""Set item movable state"""
self._can_move = state
def set_rotatable(self, state):
"""Set item rotatable state"""
self._can_rotate = state
def can_select(self):
return self._can_select
def can_resize(self):
return self._can_resize
def can_rotate(self):
return self._can_rotate
def can_move(self):
return self._can_move
def types(self):
"""Returns a group or category for this item
this should be a class object inheriting from
IItemType
"""
return (IShapeItemType, )
def set_readonly(self, state):
"""Set object readonly state"""
self._readonly = state
def is_readonly(self):
"""Return object readonly state"""
return self._readonly
def set_private(self, state):
"""Set object as private"""
self._private = state
def is_private(self):
"""Return True if object is private"""
return self._private
def select(self):
"""Select item"""
self.selected = True
self.invalidate_plot()
def unselect(self):
"""Unselect item"""
self.selected = False
self.invalidate_plot()
def hit_test(self, pos):
"""
Return a tuple with four elements:
(distance, attach point, inside, other_object)
distance : distance in pixels (canvas coordinates)
to the closest attach point
attach point: handle of the attach point
inside: True if the mouse button has been clicked inside the object
other_object: if not None, reference of the object which
will be considered as hit instead of self
"""
pass
def get_item_parameters(self, itemparams):
"""
Appends datasets to the list of DataSets describing the parameters
used to customize apearance of this item
"""
pass
def set_item_parameters(self, itemparams):
"""
Change the appearance of this item according
to the parameter set provided
params is a list of Datasets of the same types as those returned
by get_item_parameters
"""
pass
def move_local_point_to(self, handle, pos, ctrl=None):
"""Move a handle as returned by hit_test to the new position pos
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\n"
"Simple signal and image processing application based on guiqwt and guidata"
msgstr ""
#: guiqwt\tests\sift.py:93 guiqwt\tests\sift.py:107 guiqwt\tests\sift.py:118
#: guiqwt\tests\sift.py:127 guiqwt\tests\simple_window.py:40
msgid "Untitled"
msgstr "Sans titre"
#: guiqwt\tests\sift.py:94 guiqwt\tests\sift.py:119
#: guiqwt\tests\simple_window.py:41 guiqwt\widgets\fit.py:419
msgid "Data"
msgstr "Données"
#: guiqwt\tests\sift.py:110
msgid "Signal size (total number of points)"
msgstr "Nombre de points"
#: guiqwt\tests\sift.py:112 guiqwt\tests\sift.py:136
#: guiqwt\tests\simple_window.py:53
msgid "Type"
msgstr "Type"
#: guiqwt\tests\sift.py:113 guiqwt\tests\sift.py:137
#: guiqwt\tests\simple_window.py:54
msgid "zeros"
msgstr "zéros"
#: guiqwt\tests\sift.py:113 guiqwt\tests\sift.py:138
#: guiqwt\tests\simple_window.py:54
msgid "random"
msgstr "aléatoire"
#: guiqwt\tests\sift.py:114
msgid "gaussian"
msgstr "gaussienne"
#: guiqwt\tests\sift.py:120
msgid "Metadata"
msgstr "Métadonnées"
#: guiqwt\tests\sift.py:128
msgid "Image height (total number of rows)"
msgstr "Hauteur de l'image (nombre de lignes)"
#: guiqwt\tests\sift.py:128 guiqwt\tests\simple_dialog.py:31
#: guiqwt\tests\simple_window.py:46
msgid "Height"
msgstr "Hauteur"
#: guiqwt\tests\sift.py:130
msgid "Image width (total number of columns)"
msgstr "Largeur de l'image (nombre de colonnes)"
#: guiqwt\tests\sift.py:132
msgid "Data type"
msgstr "Type de données"
#: guiqwt\tests\sift.py:137
msgid "empty"
msgstr "vide"
#: guiqwt\tests\sift.py:173 guiqwt\tests\simple_window.py:61
msgid "Properties"
msgstr "Propriétés"
#: guiqwt\tests\sift.py:196
msgid "Duplicate"
msgstr "Dupliquer"
#: guiqwt\tests\sift.py:210
msgid "Difference"
msgstr "Soustraction"
#: guiqwt\tests\sift.py:214
msgid "Division"
msgstr "Division"
#: guiqwt\tests\sift.py:336 guiqwt\tests\sift.py:357 guiqwt\tests\sift.py:378
#: guiqwt\tests\sift.py:395 guiqwt\tests\sift.py:412 guiqwt\tests\sift.py:449
#: guiqwt\tests\sift.py:922
msgid "Error:"
msgstr "Erreur:"
#: guiqwt\tests\sift.py:440
msgid "Computing:"
msgstr "Calcul en cours :"
#: guiqwt\tests\sift.py:464
msgid "New signal..."
msgstr "Nouveau signal..."
#: guiqwt\tests\sift.py:466 guiqwt\tests\sift.py:624
msgid "Create a new signal"
msgstr "Créer un nouveau signal"
#: guiqwt\tests\sift.py:468
msgid "Open signal..."
msgstr "Ouvrir un signal..."
#: guiqwt\tests\sift.py:470
msgid "Open a signal"
msgstr "Ouvrir un signal"
#: guiqwt\tests\sift.py:472
msgid "Save signal..."
msgstr "Enregistrer le signal..."
#: guiqwt\tests\sift.py:474
msgid "Save selected signal"
msgstr "Enregistrer le signal sélectionné"
#: guiqwt\tests\sift.py:480 guiqwt\tests\sift.py:542 guiqwt\tests\sift.py:760
#: guiqwt\tests\sift.py:901
msgid "ROI extraction"
msgstr "Extraction de ROI"
#: guiqwt\tests\sift.py:482 guiqwt\tests\sift.py:762
msgid "Swap X/Y axes"
msgstr "Permuter les axes X/Y"
#: guiqwt\tests\sift.py:488 guiqwt\tests\sift.py:577
msgid "Normalize"
msgstr "Normaliser"
#: guiqwt\tests\sift.py:490 guiqwt\tests\sift.py:589 guiqwt\tests\sift.py:778
#: guiqwt\tests\sift.py:931
msgid "Linear calibration"
msgstr "Étalonnage linéaire"
#: guiqwt\tests\sift.py:492 guiqwt\tests\sift.py:608 guiqwt\tests\sift.py:784
#: guiqwt\tests\sift.py:956
msgid "Gaussian filter"
msgstr "Filtre gaussien"
#: guiqwt\tests\sift.py:494 guiqwt\tests\sift.py:786
msgid "Wiener filter"
msgstr "Filtre de Wiener"
#: guiqwt\tests\sift.py:496 guiqwt\tests\sift.py:788
msgid "FFT"
msgstr "FFT"
#: guiqwt\tests\sift.py:497 guiqwt\tests\sift.py:500 guiqwt\tests\sift.py:789
#: guiqwt\tests\sift.py:792
msgid "Warning: only real part is plotted"
msgstr "Attention : seulement la partie réelles sera tracée"
#: guiqwt\tests\sift.py:499 guiqwt\tests\sift.py:791
msgid "Inverse FFT"
msgstr "FFT inverse"
#: guiqwt\tests\sift.py:540 guiqwt\tests\sift.py:897
msgid "First row index"
msgstr "Indice de la première ligne"
#: guiqwt\tests\sift.py:541 guiqwt\tests\sift.py:898
msgid "Last row index"
msgstr "Indice de la dernière ligne"
#: guiqwt\tests\sift.py:571
msgid "maximum"
msgstr "maximum"
#: guiqwt\tests\sift.py:572
msgid "amplitude"
msgstr "amplitude"
#: guiqwt\tests\sift.py:573
msgid "sum"
msgstr "intégrale"
#: guiqwt\tests\sift.py:574
msgid "energy"
msgstr "énergie"
#: guiqwt\tests\sift.py:576
msgid "Normalize with respect to"
msgstr "Normaliser par rapport à"
#: guiqwt\tests\sift.py:584
msgid "X-axis"
msgstr "Axe des X"
#: guiqwt\tests\sift.py:584
msgid "Y-axis"
msgstr "Axe des Y"
#: guiqwt\tests\sift.py:586
msgid "Calibrate"
msgstr "Étalonner"
#: guiqwt\tests\sift.py:644
msgid "New gaussian function"
msgstr "Nouvelle gaussienne"
#: guiqwt\tests\sift.py:707
msgid "CSV files"
msgstr "Fichiers CSV"
#: guiqwt\tests\sift.py:731
msgid "New image..."
msgstr "Nouvelle image..."
#: guiqwt\tests\sift.py:733 guiqwt\tests\sift.py:971
#: guiqwt\tests\simple_window.py:176 guiqwt\tests\simple_window.py:217
msgid "Create a new image"
msgstr "Créer une nouvelle image"
#: guiqwt\tests\sift.py:735
msgid "Open image..."
msgstr "Ouvrir une image..."
#: guiqwt\tests\sift.py:737 guiqwt\tests\simple_window.py:181
msgid "Open an image"
msgstr "Ouvrir une image"
#: guiqwt\tests\sift.py:739
msgid "Save image..."
msgstr "Enregistrer l'image..."
#: guiqwt\tests\sift.py:741
msgid "Save selected image"
msgstr "Enregistre l'image sélectionnée"
#: guiqwt\tests\sift.py:747 guiqwt\tests\sift.py:840
msgid "Rotation"
msgstr "Rotation"
#: guiqwt\tests\sift.py:752
msgid "Rotate 90° right"
msgstr "Rotation inverse de 90°"
#: guiqwt\tests\sift.py:754
msgid "Rotate 90° left"
msgstr "Rotation directe de 90°"
#: guiqwt\tests\sift.py:756
msgid "Rotate arbitrarily..."
msgstr "Rotation arbitraire..."
#: guiqwt\tests\sift.py:758 guiqwt\tests\sift.py:887
#: guiqwt\widgets\resizedialog.py:94
msgid "Resize"
msgstr "Redimensionner"
#: guiqwt\tests\sift.py:764
msgid "Flat-field correction"
msgstr "Correction de champ plat"
#: guiqwt\tests\sift.py:780 guiqwt\tests\sift.py:939
msgid "Thresholding"
msgstr "Seuillage"
#: guiqwt\tests\sift.py:782 guiqwt\tests\sift.py:946
msgid "Clipping"
msgstr "Écrêtage"
#: guiqwt\tests\sift.py:825 guiqwt\tests\sift.py:876
msgid "Mode"
msgstr "Mode"
#: guiqwt\tests\sift.py:827 guiqwt\tests\sift.py:878
msgid "cval"
msgstr "cval"
#: guiqwt\tests\sift.py:828 guiqwt\tests\sift.py:879
msgid ""
"Value used for points outside the boundaries of the input if mode is "
"'constant'"
msgstr ""
"Valeur utilisée pour les points situés en dehors des frontières de l'image "
"d'origine (si le mode est 'constant')"
#: guiqwt\tests\sift.py:831
msgid "Reshape the output array"
msgstr "Redimensionner l'image de destination"
#: guiqwt\tests\sift.py:832
msgid ""
"Reshape the output array so that the input array is contained completely in "
"the output"
msgstr ""
"Redimensionner l'image de destination de sorte qu'elle puisse contenir la "
"totalité de l'image source"
#: guiqwt\tests\sift.py:835 guiqwt\tests\sift.py:882
msgid "Prefilter the input image"
msgstr "Prétraitement de l'image d'origine (spline)"
#: guiqwt\tests\sift.py:837 guiqwt\tests\sift.py:884
msgid "Order"
msgstr "Ordre"
#: guiqwt\tests\sift.py:838 guiqwt\tests\sift.py:885
msgid "Spline interpolation order"
msgstr "Ordre de l'interpolation de type spline"
#: guiqwt\tests\sift.py:869 guiqwt\tools.py:1551
msgid "Destination size:"
msgstr "Taille de destination :"
#: guiqwt\tests\sift.py:875
msgid "Zoom"
msgstr "Zoom"
#: guiqwt\tests\sift.py:899
msgid "First column index"
msgstr "Indice de la première colonne"
#: guiqwt\tests\sift.py:900
msgid "Last column index"
msgstr "Indice de la dernière colonne"
#: guiqwt\tests\sift.py:937
msgid "Threshold"
msgstr "Seuil"
#: guiqwt\tests\sift.py:944
msgid "Clipping value"
msgstr "Valeur d'écrêtage"
#: guiqwt\tests\sift.py:1100
msgid "Welcome to %s!"
msgstr "Bienvenue dans %s !"
#: guiqwt\tests\sift.py:1102
msgid "Signal Processing Toolbar"
msgstr "Barre d'outils de traitement du signal"
#: guiqwt\tests\sift.py:1103
msgid "Image Processing Toolbar"
msgstr "Barre d'outils de traitement d'image"
#: guiqwt\tests\sift.py:1106
msgid "Curve Plotting Toolbar"
msgstr "Barre d'outils d'affichage de courbes"
#: guiqwt\tests\sift.py:1115
msgid "Image Visualization Toolbar"
msgstr "Barre d'outils d'affichage d'images"
#: guiqwt\tests\sift.py:1129
msgid "Signals"
msgstr "Signaux"
#: guiqwt\tests\sift.py:1131
msgid "Images"
msgstr "Images"
#: guiqwt\tests\sift.py:1132
msgid "Main panel"
msgstr "Panneau principal"
#: guiqwt\tests\sift.py:1135
msgid "Curve plotting panel"
msgstr "Panneau d'affichage de courbes"
#: guiqwt\tests\sift.py:1137
msgid "Image visualization panel"
msgstr "Panneau d'affichage d'images"
#: guiqwt\tests\sift.py:1147 guiqwt\tests\simple_window.py:183
msgid "Quit"
msgstr "Quitter"
#: guiqwt\tests\sift.py:1149 guiqwt\tests\simple_window.py:186
msgid "Quit application"
msgstr "Quitter l'application"
#: guiqwt\tests\sift.py:1151 guiqwt\tests\simple_window.py:172
msgid "File"
msgstr "Fichier"
#: guiqwt\tests\sift.py:1156
msgid "&Edit"
msgstr "&Édition"
#: guiqwt\tests\sift.py:1161
msgid "Operations"
msgstr "Opérations"
#: guiqwt\tests\sift.py:1166
msgid "Processing"
msgstr "Traitement"
#: guiqwt\tests\sift.py:1172
msgid "&View"
msgstr "&Affichage"
#: guiqwt\tests\sift.py:1177 guiqwt\tests\simple_window.py:192
msgid "About..."
msgstr "À propos..."
#: guiqwt\tests\sift.py:1196
msgid "Console"
msgstr "Console"
#: guiqwt\tests\sift.py:1254 guiqwt\tests\simple_window.py:207
msgid "About "
msgstr "À propos de "
#: guiqwt\tests\sift.py:1258 guiqwt\tests\simple_window.py:211
msgid "Developped by"
msgstr "Développé par"
#: guiqwt\tests\sift.py:1260 guiqwt\tests\simple_window.py:212
msgid "on"
msgstr "sous"
#: guiqwt\tests\simple_dialog.py:30 guiqwt\tests\simple_window.py:43
msgid "Image width (pixels)"
msgstr "Largeur de l'image (pixels)"
#: guiqwt\tests\simple_dialog.py:31 guiqwt\tests\simple_window.py:46
msgid "Image height (pixels)"
msgstr "Hauteur de l'image (pixels)"
#: guiqwt\tests\simple_dialog.py:35
msgid "Filter algorithm"
msgstr "Algorithme de filtrage"
#: guiqwt\tests\simple_dialog.py:37
msgid "gaussian filter"
msgstr "filtre gaussien"
#: guiqwt\tests\simple_dialog.py:38
msgid "uniform filter"
msgstr "filtre uniforme"
#: guiqwt\tests\simple_dialog.py:39
msgid "minimum filter"
msgstr "filtre minimum"
#: guiqwt\tests\simple_dialog.py:40
msgid "median filter"
msgstr "filtre médian"
#: guiqwt\tests\simple_dialog.py:41
msgid "maximum filter"
msgstr "filtre maximum"
#: guiqwt\tests\simple_dialog.py:43
msgid "Size or sigma"
msgstr "Taille ou sigma"
#: guiqwt\tests\simple_dialog.py:46
msgid "Example dialog box"
msgstr "Exemple de boîte de dialogue"
#: guiqwt\tests\simple_dialog.py:64
msgid "Filter parameters"
msgstr "Paramètres du filtre"
#: guiqwt\tests\simple_dialog.py:70
msgid "Image parameters"
msgstr "Paramètres de l'image"
#: guiqwt\tests\simple_dialog.py:73
msgid "z-axis scale label"
msgstr "Échelle en z"
#: guiqwt\tests\simple_window.py:34
msgid "Application example"
msgstr "Exemple d'application"
#: guiqwt\tests\simple_window.py:169
msgid "Welcome to guiqwt application example!"
msgstr "Bienvenue dans l'exemple d'application de guiqwt !"
#: guiqwt\tests\simple_window.py:173
msgid "New..."
msgstr "Nouveau..."
#: guiqwt\tests\simple_window.py:178 guiqwt\tools.py:1726
msgid "Open..."
msgstr "Ouvrir..."
#: guiqwt\tools.py:448
msgid "Selection"
msgstr "Sélection"
#: guiqwt\tools.py:474
msgid "Point selection"
msgstr "Sélection d'un point"
#: guiqwt\tools.py:557
msgid "Polyline"
msgstr "Ligne brisée"
#: guiqwt\tools.py:667
msgid "Free form"
msgstr "Forme libre"
#: guiqwt\tools.py:716
msgid "Label text"
msgstr "Texte de l'étiquette"
#: guiqwt\tools.py:845
msgid "Rectangle"
msgstr "Rectangle"
#: guiqwt\tools.py:849
msgid "Oblique rectangle"
msgstr "Rectangle oblique"
#: guiqwt\tools.py:858
msgid "Point"
msgstr "Point"
#: guiqwt\tools.py:867
msgid "Segment"
msgstr "Segment"
#: guiqwt\tools.py:876
msgid "Circle"
msgstr "Cercle"
#: guiqwt\tools.py:970
msgid "Image statistics"
msgstr "Statistiques de l'image"
#: guiqwt\tools.py:1065
msgid "Average cross section"
msgstr "Profil rectiligne moyen"
#: guiqwt\tools.py:1086
msgid "Rectangle zoom"
msgstr "Zoom rectangulaire"
#: guiqwt\tools.py:1149
msgid "Horizontal selection"
msgstr "Sélection horizontale"
#: guiqwt\tools.py:1156
msgid "Vertical cursor"
msgstr "Curseur vertical"
#: guiqwt\tools.py:1165
msgid "Horizontal cursor"
msgstr "Curseur horizontal"
#: guiqwt\tools.py:1174
msgid "Cross cursor"
msgstr "Curseur croix"
#: guiqwt\tools.py:1184
msgid "Signal statistics"
msgstr "Statistiques du signal"
#: guiqwt\tools.py:1322
msgid "Antialiasing (curves)"
msgstr "Anticrénelage (courbes)"
#: guiqwt\tools.py:1343
msgid "Free"
msgstr "Libre"
#: guiqwt\tools.py:1345
msgid "Bound to active item"
msgstr "Lié à l'objet actif"
#: guiqwt\tools.py:1367
msgid "Reverse Y axis"
msgstr "Inverser l'axe des ordonnées"
#: guiqwt\tools.py:1380
msgid "Lock aspect ratio"
msgstr "Verrouiller le rapport hauteur/largeur"
#: guiqwt\tools.py:1381
msgid "Current value"
msgstr "Valeur actuelle"
#: guiqwt\tools.py:1382
msgid "Lock value"
msgstr "Valeur imposée"
#: guiqwt\tools.py:1386 guiqwt\tools.py:1392
msgid "Aspect ratio"
msgstr "Rapport hauteur/largeur"
#: guiqwt\tools.py:1394
msgid "Lock"
msgstr "Verrouiller"
#: guiqwt\tools.py:1396
msgid "1:1"
msgstr "Rapport unité"
#: guiqwt\tools.py:1398
msgid "Edit..."
msgstr "Modifier..."
#: guiqwt\tools.py:1470
msgid "Contrast adjustment"
msgstr "Réglage du contraste"
#: guiqwt\tools.py:1483
msgid "X-axis cross section"
msgstr "Profil selon l'axe des abscisses"
#: guiqwt\tools.py:1487
msgid "Y-axis cross section"
msgstr "Profil selon l'axe des ordonnées"
#: guiqwt\tools.py:1501
msgid "Save as..."
msgstr "Enregistrer sous..."
#: guiqwt\tools.py:1509
msgid "PNG image"
msgstr "Image PNG"
#: guiqwt\tools.py:1515
msgid "PDF document"
msgstr "Document PDF"
#: guiqwt\tools.py:1516 guiqwt\tools.py:1610 guiqwt\tools.py:1758
msgid "untitled"
msgstr "sanstitre"
#: guiqwt\tools.py:1523
msgid "Copy to clipboard"
msgstr "Copier dans le presse-papier"
#: guiqwt\tools.py:1542 guiqwt\tools.py:1573 guiqwt\tools.py:1640
msgid "Rectangle snapshot"
msgstr "Capture rectangulaire"
#: guiqwt\tools.py:1543
msgid "There is no supported image item in current selection."
msgstr "La sélection ne contient aucun objet image pris en charge."
#: guiqwt\tools.py:1558 guiqwt\tools.py:1565
msgid "Image levels adjustments"
msgstr "Modification des niveaux de l'image"
#: guiqwt\tools.py:1559
msgid "Apply contrast settings"
msgstr "Appliquer les réglages de contraste"
#: guiqwt\tools.py:1561
msgid "Apply interpolation algorithm"
msgstr "Appliquer l'algorithme d'interpolation"
#: guiqwt\tools.py:1563
msgid "Scale levels to maximum range"
msgstr "Normaliser (utiliser la totalité de la dynamique)"
#: guiqwt\tools.py:1566 guiqwt\tools.py:1571
msgid "Superimposed images"
msgstr "Images superposées"
#: guiqwt\tools.py:1567
msgid "If image B is behind image A, replace intersection by"
msgstr "Si l'image B est derrière l'image A, remplacer l'intersection par"
#: guiqwt\tools.py:1569
msgid "A"
msgstr "A"
#: guiqwt\tools.py:1569
msgid "A+B"
msgstr "A+B"
#: guiqwt\tools.py:1599
msgid "Memory error"
msgstr "Mémoire insuffisante"
#: guiqwt\tools.py:1600
msgid ""
"There is not enough memory left to process this %d x %d image (%d MB would "
"be required)."
msgstr ""
"La quantité de mémoire disponible n'est pas suffisante pour traiter cette "
"image de %d x %d pixels (%d Mo seraient nécessaires)"
#: guiqwt\tools.py:1654
msgid "Rotate and crop"
msgstr "Rotation et rognage"
#: guiqwt\tools.py:1705
msgid "Print..."
msgstr "Imprimer..."
#: guiqwt\tools.py:1753
msgid "Save items"
msgstr "Enregistrer les objets guiqwt"
#: guiqwt\tools.py:1758
msgid "Save items as"
msgstr "Enregistrer les objets guiqwt sous"
#: guiqwt\tools.py:1759
msgid "guiqwt items"
msgstr "Objets guiqwt"
#: guiqwt\tools.py:1767
msgid "Load items"
msgstr "Charger les objets guiqwt"
#: guiqwt\tools.py:1783
msgid "Open image"
msgstr "Ouvrir une image"
#: guiqwt\tools.py:1845 guiqwt\tools.py:1851
msgid "Help"
msgstr "Aide"
#: guiqwt\tools.py:1852
msgid ""
"Keyboard/mouse shortcuts:\n"
" - single left-click: item (curve, image, ...) selection\n"
" - single right-click: context-menu relative to selected item\n"
" - shift: on-active-curve (or image) cursor\n"
" - alt: free cursor\n"
" - left-click + mouse move: move item (when available)\n"
" - middle-click + mouse move: pan\n"
" - right-click + mouse move: zoom"
msgstr ""
"Raccourcis clavier et souris :\n"
" - clique gauche : sélection d'une courbe\n"
" - clique droit : menu contextuel\n"
" - shift : affichage d'un curseur sur la courbe ou l'image sélectionnée\n"
" - alt : curseur libre\n"
" - clique gauche + déplacement souris : déplacement de l'objet actif (si "
"possible)\n"
" - clique du milieu + déplacement souris : translation dans le plan "
"('pan')\n"
" - clique droit + déplacement souris : agrandissement ('zoom')"
#: guiqwt\tools.py:1911 guiqwt\tools.py:1919
msgid "Export"
msgstr "Exporter"
#: guiqwt\tools.py:1914
msgid "Text file"
msgstr "Fichier texte"
#: guiqwt\tools.py:1920
msgid "Unable to export item data."
msgstr "Impossible d'exporter les données de l'objet sélectionné."
#: guiqwt\tools.py:1921
msgid "Error message:"
msgstr "Message d'erreur :"
#: guiqwt\tools.py:1930
msgid "Export data..."
msgstr "Exporter les données..."
#: guiqwt\tools.py:1973
msgid "Edit data..."
msgstr "Modifier les données..."
#: guiqwt\tools.py:1982
msgid "Center items"
msgstr "Centrer des objets"
#: guiqwt\tools.py:2052
msgid "Select colormap for active image"
msgstr "Sélectionne l'échelle de couleurs de l'image active"
#: guiqwt\tools.py:2118
msgid "Manage image masking areas"
msgstr "Gestion des zones de masquage"
#: guiqwt\tools.py:2127
msgid "Mask rectangular area (inside)"
msgstr "Masquer l'intérieur d'une zone rectangulaire"
#: guiqwt\tools.py:2132
msgid "Mask rectangular area (outside)"
msgstr "Masquer l'extérieur d'une zone rectangulaire"
#: guiqwt\tools.py:2137
msgid "Mask circular area (inside)"
msgstr "Masquer l'intérieur d'une zone circulaire"
#: guiqwt\tools.py:2142
msgid "Mask circular area (outside)"
msgstr "Masquer l'extérieur d'une zone circulaire"
#: guiqwt\tools.py:2148
msgid "Show masking shapes"
msgstr "Afficher les formes de masquage"
#: guiqwt\tools.py:2151
msgid "Apply mask"
msgstr "Appliquer le masque"
#: guiqwt\tools.py:2154 guiqwt\tools.py:2278
msgid "Clear mask"
msgstr "Effacer le masque"
#: guiqwt\tools.py:2157 guiqwt\tools.py:2202
msgid "Remove all masking shapes"
msgstr "Supprimer toutes les formes de masquage"
#: guiqwt\tools.py:2200
msgid "Do you really want to remove all masking shapes?"
msgstr "Souhaitez-vous vraiment supprimer toutes les formes de masquage ?"
#: guiqwt\tools.py:2276
msgid "Do you really want to clear the mask?"
msgstr "Souhaitez-vous vraiment effacer le masque ?"
#: guiqwt\widgets\base.py:45
msgid "Reset"
msgstr "Réinitialiser"
#: guiqwt\widgets\base.py:54
msgid "Apply"
msgstr "Appliquer"
#: guiqwt\widgets\base.py:150
msgid "Rotate & Crop"
msgstr "Rotation & rognage"
#: guiqwt\widgets\fit.py:71
msgid "Method"
msgstr "Méthode"
#: guiqwt\widgets\fit.py:74
msgid "Conjugate Gradient"
msgstr "Gradient conjugué"
#: guiqwt\widgets\fit.py:75
msgid "Least squares"
msgstr "Moindres carrés"
#: guiqwt\widgets\fit.py:78
msgid "for simplex, powel, cg and bfgs norm used by the error function"
msgstr ""
#: guiqwt\widgets\fit.py:81 guiqwt\widgets\fit.py:83
msgid "for simplex, powel, least squares"
msgstr ""
#: guiqwt\widgets\fit.py:84
msgid "for cg, bfgs"
msgstr ""
#: guiqwt\widgets\fit.py:86
msgid "for cg, bfgs. inf is max, -inf is min"
msgstr ""
#: guiqwt\widgets\fit.py:90
msgid "Name"
msgstr "Nom"
#: guiqwt\widgets\fit.py:91
msgid "Value"
msgstr "Valeur"
#: guiqwt\widgets\fit.py:92
msgid "Min"
msgstr "Min"
#: guiqwt\widgets\fit.py:93
msgid "Max"
msgstr "Max"
#: guiqwt\widgets\fit.py:95
msgid "Format"
msgstr "Format"
#: guiqwt\widgets\fit.py:96
msgid "Logarithmic"
msgstr "logarithmique"
#: guiqwt\widgets\fit.py:118
msgid "Curve fitting parameter"
msgstr "Paramètre d'ajustement"
#: guiqwt\widgets\fit.py:135
msgid "Edit '%s' fit parameter properties"
msgstr "Modifier les propriétés du paramètre d'ajustement '%s'"
#: guiqwt\widgets\fit.py:260
msgid "Curve fitting"
msgstr "Ajustement de courbes"
#: guiqwt\widgets\fit.py:299
msgid "Fit parameters"
msgstr "Paramètres d'ajustement"
#: guiqwt\widgets\fit.py:332
msgid "Automatic fitting options"
msgstr "Options d'ajustement automatique"
#: guiqwt\widgets\fit.py:362
msgid "Run"
msgstr "Ajuster"
#: guiqwt\widgets\fit.py:364
msgid "Settings"
msgstr "Options"
#: guiqwt\widgets\fit.py:375
msgid "Automatic fit"
msgstr "Ajustement automatique"
#: guiqwt\widgets\fit.py:425
msgid "Fit"
msgstr "Ajustement"
#: guiqwt\widgets\fliprotate.py:51
msgid "Angle (°):"
msgstr "Angle (°) :"
#: guiqwt\widgets\fliprotate.py:62
msgid "Flip:"
msgstr "Retournement :"
#: guiqwt\widgets\resizedialog.py:73
msgid "Original size"
msgstr "Taille d'origine"
#: guiqwt\widgets\resizedialog.py:75
msgid "Width (pixels)"
msgstr "Largeur (pixels)"
#: guiqwt\widgets\resizedialog.py:76
msgid "Height (pixels)"
msgstr "Hauteur (pixels)"
#: guiqwt\widgets\resizedialog.py:79
msgid "Original size:"
msgstr "Taille d'origine :"
#: guiqwt\widgets\resizedialog.py:81
msgid "Zoom factor:"
msgstr "Facteur de zoom :"
#: guiqwt\widgets\rotatecrop.py:50
msgid "Show cropping rectangle"
msgstr "Afficher le rectangle de rognage"
#: guiqwt\widgets\rotatecrop.py:60
msgid "Cropping rectangle"
msgstr "Rectangle de rognage"
#~ msgid "16-bits DICOM image"
#~ msgstr "Image DICOM 16 bits"
#~ msgid "16-bits TIFF image"
#~ msgstr "Image TIFF 16 bits"
#~ msgid "Keep the original size"
#~ msgstr "Conserver la taille d'origine"
#~ msgid "Both"
#~ msgstr "Les deux"
#~ msgid "There is no cross section plot to export."
#~ msgstr "Aucun profil n'est actuellement affiché."
#~ msgid "Please select a cross section plot."
#~ msgstr "Merci de sélectionner le profil à exporter."
#~ msgid "Unable to export cross section data."
#~ msgstr "Impossible d'exporter les données du profil."
#~ msgid "Export cross section data"
#~ msgstr "Exporter les données d'un profil"
guiqwt-2.3.1/guiqwt/events.py 0000666 0000000 0000000 00000061024 12144123504 014734 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2010 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
# pylint: disable-msg=W0622,R0903
# W0622: complains about filter being a builtin
# R0903: complains about too few public methods which is the purpose here
"""
guiqwt.events
-------------
The `event` module handles event management (states, event filter, ...).
"""
from __future__ import print_function
import weakref
from guidata.qt.QtCore import QEvent, Qt, QObject, QPoint
from guidata.qt.QtGui import QKeySequence
CursorShape = type(Qt.ArrowCursor)
from guiqwt.config import CONF
from guiqwt.debug import evt_type_to_str, buttons_to_str
from guiqwt.signals import (SIG_CLICK_EVENT, SIG_START_TRACKING, SIG_END_RECT,
SIG_STOP_NOT_MOVING, SIG_STOP_MOVING, SIG_MOVE)
# Sélection d'événements ---------
class EventMatch(object):
"""A callable returning true if it matches an event"""
def __call__(self, event):
raise NotImplementedError
def get_event_types(self):
"""Returns a set of event types handled by this
EventMatch.
This is used to quickly optimize events not handled
by any event matchers
"""
return frozenset()
class KeyEventMatch(EventMatch):
"""
A callable returning True if it matches a key event
keys: list of keys or couples (key, modifier)
"""
def __init__(self, keys):
super(KeyEventMatch, self).__init__()
key_list, mod_list = [], []
for item in keys:
if isinstance(item, (tuple, list)):
k, m = item
else:
k = item
# Avoid bad arguments: modifier instead of key
assert k not in (Qt.ControlModifier, Qt.ShiftModifier,
Qt.AltModifier, Qt.NoModifier)
m = Qt.NoModifier
key_list.append(k)
mod_list.append(m)
self.keys = key_list
self.mods = mod_list
def get_event_types(self):
return frozenset((QEvent.KeyPress,))
def __call__(self, event):
if event.type() == QEvent.KeyPress:
my_key = event.key()
my_mod = event.modifiers()
if my_key in self.keys:
mod = self.mods[self.keys.index(my_key)]
if mod == Qt.NoModifier or my_mod & mod:
return True
return False
class StandardKeyMatch(EventMatch):
"""
A callable returning True if it matches a key event
keysequence: QKeySequence.StandardKey integer
"""
def __init__(self, keysequence):
super(StandardKeyMatch, self).__init__()
assert isinstance(keysequence, int)
self.keyseq = keysequence
def get_event_types(self):
return frozenset((QEvent.KeyPress,))
def __call__(self, event):
return event.type() == QEvent.KeyPress and event.matches(self.keyseq)
class MouseEventMatch(EventMatch):
"""Base class for matching mouse events"""
def __init__(self, evt_type, btn, modifiers = Qt.NoModifier):
super(MouseEventMatch, self).__init__()
assert isinstance(modifiers, (int, Qt.KeyboardModifiers))
self.evt_type = evt_type
self.button = btn
self.modifiers = modifiers
def get_event_types(self):
return frozenset((self.evt_type,))
def __call__(self, event):
if event.type() == self.evt_type:
if event.button() == self.button:
if self.modifiers != Qt.NoModifier:
if (event.modifiers() & self.modifiers) == self.modifiers:
return True
elif event.modifiers()==Qt.NoModifier:
return True
return False
def __repr__(self):
return "
x = %g
y = %g" % (title, xc, yc)
def get_closest_x(self, xc):
# We assume X is sorted, otherwise we'd need :
# argmin(abs(x-xc))
i = self._x.searchsorted(xc)
if i>0:
if np.fabs(self._x[i-1]-xc) < np.fabs(self._x[i]-xc):
return self._x[i-1], self._y[i-1]
return self._x[i], self._y[i]
def move_local_point_to(self, handle, pos, ctrl=None):
if self.immutable:
return
if handle < 0 or handle > self._x.shape[0]:
return
x, y = canvas_to_axes(self, pos)
self._x[handle] = x
self._y[handle] = y
self.setData(self._x, self._y)
self.plot().replot()
def move_local_shape(self, old_pos, new_pos):
"""Translate the shape such that old_pos becomes new_pos
in canvas coordinates"""
nx, ny = canvas_to_axes(self, new_pos)
ox, oy = canvas_to_axes(self, old_pos)
self._x += (nx-ox)
self._y += (ny-oy)
self.setData(self._x, self._y)
def move_with_selection(self, delta_x, delta_y):
"""
Translate the shape together with other selected items
delta_x, delta_y: translation in plot coordinates
"""
self._x += delta_x
self._y += delta_y
self.setData(self._x, self._y)
def update_params(self):
self.curveparam.update_curve(self)
if self.selected:
self.select()
def get_item_parameters(self, itemparams):
itemparams.add("CurveParam", self, self.curveparam)
def set_item_parameters(self, itemparams):
update_dataset(self.curveparam, itemparams.get("CurveParam"),
visible_only=True)
self.update_params()
assert_interfaces_valid(CurveItem)
class PolygonMapItem(QwtPlotItem):
"""
Construct a curve `plot item` with the parameters *curveparam*
(see :py:class:`guiqwt.styles.CurveParam`)
"""
__implements__ = (IBasePlotItem, ISerializableType)
_readonly = False
_private = False
_can_select = False
_can_resize = False
_can_move = False
_can_rotate = False
def __init__(self, curveparam=None):
super(PolygonMapItem, self).__init__()
if curveparam is None:
self.curveparam = CurveParam(_("PolygonMap"), icon='curve.png')
else:
self.curveparam = curveparam
self.selected = False
self.immutable = True # set to false to allow moving points around
self._pts = None # Array of points Mx2
self._n = None # Array of polygon offsets/ends Nx1 (polygon k points are _pts[_n[k-1]:_n[k]])
self._c = None # Color of polygon Nx2 [border,background] as RGBA uint32
self.update_params()
def types(self):
return (ICurveItemType, ITrackableItemType, ISerializableType)
def can_select(self):
return self._can_select
def can_resize(self):
return self._can_resize
def can_rotate(self):
return self._can_rotate
def can_move(self):
return self._can_move
def set_selectable(self, state):
"""Set item selectable state"""
self._can_select = state
def set_resizable(self, state):
"""Set item resizable state
(or any action triggered when moving an handle, e.g. rotation)"""
self._can_resize = state
def set_movable(self, state):
"""Set item movable state"""
self._can_move = state
def set_rotatable(self, state):
"""Set item rotatable state"""
self._can_rotate = state
def setPen(self, x):
pass
def setBrush(self, x):
pass
def setSymbol(self, x):
pass
def setCurveAttribute(self, x, y):
pass
def setStyle(self, x):
pass
def setCurveType(self, x):
pass
def setBaseline(self, x):
pass
def __reduce__(self):
state = (self.curveparam, self._pts, self._n, self._c, self.z())
res = ( PolygonMapItem, (), state )
return res
def __setstate__(self, state):
param, pts, n, c, z = state
self.curveparam = param
self.set_data(pts, n, c)
self.setZ(z)
self.update_params()
def serialize(self, writer):
"""Serialize object to HDF5 writer"""
writer.write(self._pts, group_name='Pdata')
writer.write(self._n, group_name='Ndata')
writer.write(self._c, group_name='Cdata')
writer.write(self.z(), group_name='z')
self.curveparam.update_param(self)
writer.write(self.curveparam, group_name='curveparam')
def deserialize(self, reader):
"""Deserialize object from HDF5 reader"""
pts = reader.read(group_name='Pdata', func=reader.read_array)
n = reader.read(group_name='Ndata', func=reader.read_array)
c = reader.read(group_name='Cdata', func=reader.read_array)
self.set_data(pts, n, c)
self.setZ(reader.read('z'))
self.curveparam = CurveParam(_("PolygonMap"), icon='curve.png')
reader.read('curveparam', instance=self.curveparam)
self.update_params()
def set_readonly(self, state):
"""Set object readonly state"""
self._readonly = state
def is_readonly(self):
"""Return object readonly state"""
return self._readonly
def set_private(self, state):
"""Set object as private"""
self._private = state
def is_private(self):
"""Return True if object is private"""
return self._private
def invalidate_plot(self):
plot = self.plot()
if plot is not None:
plot.invalidate()
def select(self):
"""Select item"""
self.selected = True
self.setSymbol(SELECTED_SYMBOL)
self.invalidate_plot()
def unselect(self):
"""Unselect item"""
self.selected = False
# Restoring initial curve parameters:
self.curveparam.update_curve(self)
self.invalidate_plot()
def get_data(self):
"""Return curve data x, y (NumPy arrays)"""
return self._pts, self._n, self._c
def set_data(self, pts, n, c):
"""
Set curve data:
* x: NumPy array
* y: NumPy array
"""
self._pts = np.array(pts, copy=False)
self._n = np.array(n, copy=False)
self._c = np.array(c, copy=False)
xmin, ymin = self._pts.min(axis=0)
xmax, ymax = self._pts.max(axis=0)
self.bounds = QRectF(xmin, ymin, xmax-xmin, ymax-ymin)
def is_empty(self):
"""Return True if item data is empty"""
return self._pts is None or self._pts.size == 0
def hit_test(self, pos):
"""Calcul de la distance d'un point à une courbe
renvoie (dist, handle, inside)"""
if self.is_empty():
return maxsize, 0, False, None
plot = self.plot()
# TODO
return distance, i, False, None
def get_closest_coordinates(self, x, y):
"""Renvoie les coordonnées (x',y') du point le plus proche de (x,y)
Méthode surchargée pour ErrorBarSignalCurve pour renvoyer
les coordonnées des pointes des barres d'erreur"""
# TODO
return x, y
def get_coordinates_label(self, xc, yc):
title = self.title().text()
return "%s:
x = %f
y = %f" % (title, xc, yc)
def move_local_point_to(self, handle, pos, ctrl=None):
return
def move_local_shape(self, old_pos, new_pos):
pass
def move_with_selection(self, delta_x, delta_y):
pass
def update_params(self):
self.curveparam.update_curve(self)
if self.selected:
self.select()
def get_item_parameters(self, itemparams):
itemparams.add("CurveParam", self, self.curveparam)
def set_item_parameters(self, itemparams):
update_dataset(self.curveparam, itemparams.get("CurveParam"),
visible_only=True)
self.update_params()
def draw(self, painter, xMap, yMap, canvasRect):
#from time import time
p1x = xMap.p1()
s1x = xMap.s1()
ax = (xMap.p2() - p1x)/(xMap.s2()-s1x)
p1y = yMap.p1()
s1y = yMap.s1()
ay = (yMap.p2() - p1y)/(yMap.s2()-s1y)
bx, by = p1x-s1x*ax, p1y-s1y*ay
_c = self._c
_n = self._n
fgcol = QColor()
bgcol = QColor()
#t0 = time()
polygons = simplify_poly(self._pts, _n, (ax, bx, ay, by),
canvasRect.getCoords() )
#t1 = time()
#print len(polygons), t1-t0
#t2 = time()
for poly, num in polygons:
points = []
for i in range(poly.shape[0]):
points.append(QPointF(poly[i, 0], poly[i, 1]))
pg = QPolygonF(points)
fgcol.setRgba(int(_c[num, 0]))
bgcol.setRgba(int(_c[num, 1]))
painter.setPen(QPen(fgcol))
painter.setBrush(QBrush(bgcol))
painter.drawPolygon(pg)
#print "poly:", time()-t2
def boundingRect(self):
return self.bounds
assert_interfaces_valid(PolygonMapItem)
def _transform(map, v):
return QwtScaleMap.transform(map, v)
def vmap(map, v):
"""Transform coordinates while handling RuntimeWarning
that could be raised by NumPy when trying to transform
a zero in logarithmic scale for example"""
with warnings.catch_warnings():
warnings.simplefilter("ignore", category=RuntimeWarning)
output = np.vectorize(_transform)(map, v)
return output
class ErrorBarCurveItem(CurveItem):
"""
Construct an error-bar curve `plot item`
with the parameters *errorbarparam*
(see :py:class:`guiqwt.styles.ErrorBarParam`)
"""
def __init__(self, curveparam=None, errorbarparam=None):
if errorbarparam is None:
self.errorbarparam = ErrorBarParam(_("Error bars"),
icon='errorbar.png')
else:
self.errorbarparam = errorbarparam
super(ErrorBarCurveItem, self).__init__(curveparam)
self._dx = None
self._dy = None
self._minmaxarrays = {}
def serialize(self, writer):
"""Serialize object to HDF5 writer"""
super(ErrorBarCurveItem, self).serialize(writer)
writer.write(self._dx, group_name='dXdata')
writer.write(self._dy, group_name='dYdata')
self.errorbarparam.update_param(self)
writer.write(self.errorbarparam, group_name='errorbarparam')
def deserialize(self, reader):
"""Deserialize object from HDF5 reader"""
self.curveparam = CurveParam(_("Curve"), icon='curve.png')
reader.read('curveparam', instance=self.curveparam)
self.errorbarparam = ErrorBarParam(_("Error bars"),
icon='errorbar.png')
reader.read('errorbarparam', instance=self.errorbarparam)
x = reader.read(group_name='Xdata', func=reader.read_array)
y = reader.read(group_name='Ydata', func=reader.read_array)
dx = reader.read(group_name='dXdata', func=reader.read_array)
dy = reader.read(group_name='dYdata', func=reader.read_array)
self.set_data(x, y, dx, dy)
self.setZ(reader.read('z'))
self.update_params()
def unselect(self):
"""Unselect item"""
CurveItem.unselect(self)
self.errorbarparam.update_curve(self)
def get_data(self):
"""
Return error-bar curve data: x, y, dx, dy
* x: NumPy array
* y: NumPy array
* dx: float or NumPy array (non-constant error bars)
* dy: float or NumPy array (non-constant error bars)
"""
return self._x, self._y, self._dx, self._dy
def set_data(self, x, y, dx=None, dy=None):
"""
Set error-bar curve data:
* x: NumPy array
* y: NumPy array
* dx: float or NumPy array (non-constant error bars)
* dy: float or NumPy array (non-constant error bars)
"""
CurveItem.set_data(self, x, y)
if dx is not None:
dx = np.array(dx, copy=False)
if dx.size == 0:
dx = None
if dy is not None:
dy = np.array(dy, copy=False)
if dy.size == 0:
dy = None
self._dx = dx
self._dy = dy
self._minmaxarrays = {}
def get_minmax_arrays(self, all_values=True):
if self._minmaxarrays.get(all_values) is None:
x = self._x
y = self._y
dx = self._dx
dy = self._dy
if all_values:
if dx is None:
xmin = xmax = x
else:
xmin, xmax = x - dx, x + dx
if dy is None:
ymin = ymax = y
else:
ymin, ymax = y - dy, y + dy
self._minmaxarrays.setdefault(all_values,
(xmin, xmax, ymin, ymax))
else:
isf = np.logical_and(np.isfinite(x), np.isfinite(y))
if dx is not None:
isf = np.logical_and(isf, np.isfinite(dx))
if dy is not None:
isf = np.logical_and(isf, np.isfinite(dy))
if dx is None:
xmin = xmax = x[isf]
else:
xmin, xmax = x[isf] - dx[isf], x[isf] + dx[isf]
if dy is None:
ymin = ymax = y[isf]
else:
ymin, ymax = y[isf] - dy[isf], y[isf] + dy[isf]
self._minmaxarrays.setdefault(all_values,
(x[isf], y[isf],
xmin, xmax, ymin, ymax))
return self._minmaxarrays[all_values]
def get_closest_coordinates(self, x, y):
# Surcharge d'une méthode de base de CurveItem
plot = self.plot()
ax = self.xAxis()
ay = self.yAxis()
xc = plot.transform(ax, x)
yc = plot.transform(ay, y)
_distance, i, _inside, _other = self.hit_test(QPoint(xc, yc))
x0, y0 = self.plot().canvas2plotitem(self, xc, yc)
x = self.x(i)
y = self.y(i)
xmin, xmax, ymin, ymax = self.get_minmax_arrays()
if abs(y0-y) > abs(y0-ymin[i]):
y = ymin[i]
elif abs(y0-y) > abs(y0-ymax[i]):
y = ymax[i]
if abs(x0-x) > abs(x0-xmin[i]):
x = xmin[i]
elif abs(x0-x) > abs(x0-xmax[i]):
x = xmax[i]
return x, y
def boundingRect(self):
"""Return the bounding rectangle of the data, error bars included"""
xmin, xmax, ymin, ymax = self.get_minmax_arrays()
if xmin is None or xmin.size == 0:
return CurveItem.boundingRect(self)
plot = self.plot()
xminf, yminf = xmin[np.isfinite(xmin)], ymin[np.isfinite(ymin)]
xmaxf, ymaxf = xmax[np.isfinite(xmax)], ymax[np.isfinite(ymax)]
if plot is not None and 'log' in (plot.get_axis_scale(self.xAxis()),
plot.get_axis_scale(self.yAxis())):
xmin = self._get_visible_axis_min(self.xAxis(), xminf)
ymin = self._get_visible_axis_min(self.yAxis(), yminf)
else:
xmin = xminf.min()
ymin = yminf.min()
return QRectF(xmin, ymin, xmaxf.max()-xmin, ymaxf.max()-ymin)
def draw(self, painter, xMap, yMap, canvasRect):
if self._x is None or self._x.size == 0:
return
x, y, xmin, xmax, ymin, ymax = self.get_minmax_arrays(all_values=False)
tx = vmap(xMap, x)
ty = vmap(yMap, y)
RN = list(range(len(tx)))
if self.errorOnTop:
QwtPlotCurve.draw(self, painter, xMap, yMap, canvasRect)
painter.save()
painter.setPen(self.errorPen)
cap = self.errorCap/2.
if self._dx is not None and self.errorbarparam.mode == 0:
txmin = vmap(xMap, xmin)
txmax = vmap(xMap, xmax)
# Classic error bars
lines = []
for i in RN:
yi = ty[i]
lines.append(QLine(txmin[i], yi, txmax[i], yi))
painter.drawLines(lines)
if cap > 0:
lines = []
for i in RN:
yi = ty[i]
lines.append(QLine(txmin[i], yi-cap, txmin[i], yi+cap))
lines.append(QLine(txmax[i], yi-cap, txmax[i], yi+cap))
painter.drawLines(lines)
if self._dy is not None:
tymin = vmap(yMap, ymin)
tymax = vmap(yMap, ymax)
if self.errorbarparam.mode == 0:
# Classic error bars
lines = []
for i in RN:
xi = tx[i]
lines.append(QLine(xi, tymin[i], xi, tymax[i]))
painter.drawLines(lines)
if cap > 0:
# Cap
lines = []
for i in RN:
xi = tx[i]
lines.append(QLine(xi-cap, tymin[i], xi+cap, tymin[i]))
lines.append(QLine(xi-cap, tymax[i], xi+cap, tymax[i]))
painter.drawLines(lines)
else:
# Error area
points = []
rpoints = []
for i in RN:
xi = tx[i]
points.append(QPoint(xi, tymin[i]))
rpoints.append(QPoint(xi, tymax[i]))
points += reversed(rpoints)
painter.setBrush(QBrush(self.errorBrush))
painter.drawPolygon(*points)
painter.restore()
if not self.errorOnTop:
QwtPlotCurve.draw(self, painter, xMap, yMap, canvasRect)
def update_params(self):
self.errorbarparam.update_curve(self)
CurveItem.update_params(self)
def get_item_parameters(self, itemparams):
CurveItem.get_item_parameters(self, itemparams)
itemparams.add("ErrorBarParam", self, self.errorbarparam)
def set_item_parameters(self, itemparams):
update_dataset(self.errorbarparam, itemparams.get("ErrorBarParam"),
visible_only=True)
CurveItem.set_item_parameters(self, itemparams)
assert_interfaces_valid( ErrorBarCurveItem )
#===============================================================================
# Plot Widget
#===============================================================================
class ItemListWidget(QListWidget):
"""
PlotItemList
List of items attached to plot
"""
def __init__(self, parent):
super(ItemListWidget, self).__init__(parent)
self.manager = None
self.plot = None # the default plot...
self.items = []
self.connect(self, SIGNAL('currentRowChanged(int)'),
self.current_row_changed)
self.connect(self, SIGNAL('itemChanged(QListWidgetItem*)'),
self.item_changed)
self.connect(self, SIGNAL('itemSelectionChanged()'),
self.refresh_actions)
self.connect(self, SIGNAL('itemSelectionChanged()'),
self.selection_changed)
self.setWordWrap(True)
self.setMinimumWidth(140)
self.setSelectionMode(QListWidget.ExtendedSelection)
# Setup context menu
self.menu = QMenu(self)
self.menu_actions = self.setup_actions()
self.refresh_actions()
add_actions(self.menu, self.menu_actions)
def register_panel(self, manager):
self.manager = manager
for plot in self.manager.get_plots():
self.connect(plot, SIG_ITEMS_CHANGED, self.items_changed)
self.connect(plot, SIG_ACTIVE_ITEM_CHANGED, self.items_changed)
self.plot = self.manager.get_plot()
def contextMenuEvent(self, event):
"""Override Qt method"""
self.refresh_actions()
self.menu.popup(event.globalPos())
def setup_actions(self):
self.movedown_ac = create_action(self, _("Move to back"),
icon=get_icon('arrow_down.png'),
triggered=lambda: self.move_item("down"))
self.moveup_ac = create_action(self, _("Move to front"),
icon=get_icon('arrow_up.png'),
triggered=lambda: self.move_item("up"))
settings_ac = create_action(self, _("Parameters..."),
icon=get_icon('settings.png'),
triggered=self.edit_plot_parameters )
self.remove_ac = create_action(self, _("Remove"),
icon=get_icon('trash.png'),
triggered=self.remove_item)
return [self.moveup_ac, self.movedown_ac, None,
settings_ac, self.remove_ac]
def edit_plot_parameters(self):
self.plot.edit_plot_parameters("item")
def __is_selection_contiguous(self):
indexes = sorted([self.row(lw_item) for lw_item
in self.selectedItems()])
return len(indexes) <= 1 or list(range(indexes[0], indexes[-1]+1)) == indexes
def get_selected_items(self):
"""Return selected QwtPlot items
Warning: this is not the same as self.plot.get_selected_items
--> some items could appear in itemlist without being registered in
plot widget items (in particular, some items could be selected in
itemlist without being selected in plot widget)
"""
return [self.items[self.row(lw_item)]
for lw_item in self.selectedItems()]
def refresh_actions(self):
is_selection = len(self.selectedItems()) > 0
for action in self.menu_actions:
if action is not None:
action.setEnabled(is_selection)
if is_selection:
remove_state = True
for item in self.get_selected_items():
remove_state = remove_state and not item.is_readonly()
self.remove_ac.setEnabled(remove_state)
for action in [self.moveup_ac, self.movedown_ac]:
action.setEnabled(self.__is_selection_contiguous())
def __get_item_icon(self, item):
from guiqwt.label import LegendBoxItem, LabelItem
from guiqwt.annotations import (AnnotatedShape, AnnotatedRectangle,
AnnotatedCircle, AnnotatedEllipse,
AnnotatedPoint, AnnotatedSegment)
from guiqwt.shapes import (SegmentShape, RectangleShape, EllipseShape,
PointShape, PolygonShape, Axes,
XRangeSelection)
from guiqwt.image import (BaseImageItem, Histogram2DItem,
ImageFilterItem)
from guiqwt.histogram import HistogramItem
icon_name = 'item.png'
for klass, icon in ((HistogramItem, 'histogram.png'),
(ErrorBarCurveItem, 'errorbar.png'),
(CurveItem, 'curve.png'),
(GridItem, 'grid.png'),
(LegendBoxItem, 'legend.png'),
(LabelItem, 'label.png'),
(AnnotatedSegment, 'segment.png'),
(AnnotatedPoint, 'point_shape.png'),
(AnnotatedCircle, 'circle.png'),
(AnnotatedEllipse, 'ellipse_shape.png'),
(AnnotatedRectangle, 'rectangle.png'),
(AnnotatedShape, 'annotation.png'),
(SegmentShape, 'segment.png'),
(RectangleShape, 'rectangle.png'),
(PointShape, 'point_shape.png'),
(EllipseShape, 'ellipse_shape.png'),
(Axes, 'gtaxes.png'),
(Marker, 'marker.png'),
(XRangeSelection, 'xrange.png'),
(PolygonShape, 'freeform.png'),
(Histogram2DItem, 'histogram2d.png'),
(ImageFilterItem, 'funct.png'),
(BaseImageItem, 'image.png'),):
if isinstance(item, klass):
icon_name = icon
break
return get_icon(icon_name)
def items_changed(self, plot):
"""Plot items have changed"""
active_plot = self.manager.get_active_plot()
if active_plot is not plot:
return
self.plot = plot
_block = self.blockSignals(True)
active = plot.get_active_item()
self.items = plot.get_public_items(z_sorted=True)
self.clear()
for item in self.items:
title = item.title().text()
lw_item = QListWidgetItem(self.__get_item_icon(item), title, self)
lw_item.setCheckState(Qt.Checked if item.isVisible()
else Qt.Unchecked)
lw_item.setSelected(item.selected)
font = lw_item.font()
if item is active:
font.setItalic(True)
else:
font.setItalic(False)
lw_item.setFont(font)
self.addItem(lw_item)
self.refresh_actions()
self.blockSignals(_block)
def current_row_changed(self, index):
"""QListWidget current row has changed"""
if index == -1:
return
item = self.items[index]
if not item.can_select():
item = None
if item is None:
self.plot.replot()
def selection_changed(self):
items = self.get_selected_items()
self.plot.select_some_items(items)
self.plot.replot()
def item_changed(self, listwidgetitem):
"""QListWidget item has changed"""
item = self.items[self.row(listwidgetitem)]
visible = listwidgetitem.checkState() == Qt.Checked
if visible != item.isVisible():
item.setVisible(visible)
self.plot.replot()
def move_item(self, direction):
"""Move item to the background/foreground
Works only for contiguous selection
-> 'refresh_actions' method should guarantee that"""
items = self.get_selected_items()
if direction == 'up':
self.plot.move_up(items)
else:
self.plot.move_down(items)
# Re-select items which can't be selected in plot widget but can be
# selected in ItemListWidget:
for item in items:
lw_item = self.item(self.items.index(item))
if not lw_item.isSelected():
lw_item.setSelected(True)
self.plot.replot()
def remove_item(self):
if len(self.selectedItems()) == 1:
message = _("Do you really want to remove this item?")
else:
message = _("Do you really want to remove selected items?")
answer = QMessageBox.warning(self, _("Remove"), message,
QMessageBox.Yes | QMessageBox.No)
if answer == QMessageBox.Yes:
items = self.get_selected_items()
self.plot.del_items(items)
self.plot.replot()
class PlotItemList(PanelWidget):
"""Construct the `plot item list panel`"""
__implements__ = (IPanel,)
PANEL_ID = ID_ITEMLIST
PANEL_TITLE = _("Item list")
PANEL_ICON = "item_list.png"
def __init__(self, parent):
super(PlotItemList, self).__init__(parent)
self.manager = None
vlayout = QVBoxLayout()
self.setLayout(vlayout)
style = "%s"
layout, _label = get_image_layout(self.PANEL_ICON,
style % self.PANEL_TITLE,
alignment=Qt.AlignCenter)
vlayout.addLayout(layout)
self.listwidget = ItemListWidget(self)
vlayout.addWidget(self.listwidget)
toolbar = QToolBar(self)
vlayout.addWidget(toolbar)
add_actions(toolbar, self.listwidget.menu_actions)
def register_panel(self, manager):
"""Register panel to plot manager"""
self.manager = manager
self.listwidget.register_panel(manager)
def configure_panel(self):
"""Configure panel"""
pass
assert_interfaces_valid(PlotItemList)
class CurvePlot(BasePlot):
"""
Construct a 2D curve plotting widget
(this class inherits :py:class:`guiqwt.baseplot.BasePlot`)
* parent: parent widget
* title: plot title
* xlabel: (bottom axis title, top axis title) or bottom axis title only
* ylabel: (left axis title, right axis title) or left axis title only
* xunit: (bottom axis unit, top axis unit) or bottom axis unit only
* yunit: (left axis unit, right axis unit) or left axis unit only
* gridparam: GridParam instance
* axes_synchronised: keep all x and y axes synchronised when zomming or
panning
"""
DEFAULT_ITEM_TYPE = ICurveItemType
AUTOSCALE_TYPES = (CurveItem, PolygonMapItem)
def __init__(self, parent=None, title=None, xlabel=None, ylabel=None,
xunit=None, yunit=None, gridparam=None,
section="plot", axes_synchronised=False):
super(CurvePlot, self).__init__(parent, section)
self.axes_reverse = [False]*4
self.set_titles(title=title, xlabel=xlabel, ylabel=ylabel,
xunit=xunit, yunit=yunit)
self.antialiased = False
self.set_antialiasing(CONF.get(section, "antialiasing"))
self.axes_synchronised = axes_synchronised
# Installing our own event filter:
# (PyQwt's event filter does not fit our needs)
self.canvas().installEventFilter(self.filter)
self.canvas().setMouseTracking(True)
self.cross_marker = Marker()
self.curve_marker = Marker(label_cb=self.get_coordinates_str,
constraint_cb=self.on_active_curve)
self.cross_marker.set_style(section, "marker/cross")
self.curve_marker.set_style(section, "marker/curve")
self.cross_marker.setVisible(False)
self.curve_marker.setVisible(False)
self.cross_marker.attach(self)
self.curve_marker.attach(self)
# Background color
self.setCanvasBackground(Qt.white)
self.curve_pointer = False
self.canvas_pointer = False
# Setting up grid
if gridparam is None:
gridparam = GridParam(title=_("Grid"), icon="grid.png")
gridparam.read_config(CONF, section, "grid")
self.grid = GridItem(gridparam)
self.add_item(self.grid, z=-1)
#---- Private API ----------------------------------------------------------
def __del__(self):
# Sometimes, an obscure exception happens when we quit an application
# because if we don't remove the eventFilter it can still be called
# after the filter object has been destroyed by Python.
canvas = self.canvas()
if canvas:
canvas.removeEventFilter(self.filter)
# generic helper methods
def canvas2plotitem(self, plot_item, x_canvas, y_canvas):
return (self.invTransform(plot_item.xAxis(), x_canvas),
self.invTransform(plot_item.yAxis(), y_canvas))
def plotitem2canvas(self, plot_item, x, y):
return (self.transform(plot_item.xAxis(), x),
self.transform(plot_item.yAxis(), y))
def on_active_curve(self, x, y):
curve = self.get_last_active_item(ITrackableItemType)
if curve:
x, y = curve.get_closest_coordinates(x, y)
return x, y
def get_coordinates_str(self, x, y):
title = _("Grid")
item = self.get_last_active_item(ITrackableItemType)
if item:
return item.get_coordinates_label(x, y)
return "%s
x = %g
y = %g" % (title, x, y)
def set_marker_axes(self):
curve = self.get_last_active_item(ITrackableItemType)
if curve:
self.cross_marker.setAxis(curve.xAxis(), curve.yAxis())
self.curve_marker.setAxis(curve.xAxis(), curve.yAxis())
def do_move_marker(self, event):
pos = event.pos()
self.set_marker_axes()
if event.modifiers() & Qt.ShiftModifier or self.curve_pointer :
self.curve_marker.setZ(self.get_max_z()+1)
self.cross_marker.setVisible(False)
self.curve_marker.setVisible(True)
self.curve_marker.move_local_point_to(0, pos)
self.replot()
#self.move_curve_marker(self.curve_marker, xc, yc)
elif event.modifiers() & Qt.AltModifier or self.canvas_pointer:
self.cross_marker.setZ(self.get_max_z()+1)
self.cross_marker.setVisible(True)
self.curve_marker.setVisible(False)
self.cross_marker.move_local_point_to(0, pos)
self.replot()
#self.move_canvas_marker(self.cross_marker, xc, yc)
else:
vis_cross = self.cross_marker.isVisible()
vis_curve = self.curve_marker.isVisible()
self.cross_marker.setVisible(False)
self.curve_marker.setVisible(False)
if vis_cross or vis_curve:
self.replot()
def get_axes_to_update(self, dx, dy):
if self.axes_synchronised:
axes = []
for axis_name in self.AXIS_NAMES:
if axis_name in ("left", "right"):
d = dy
else:
d = dx
axes.append((d, self.get_axis_id(axis_name)))
return axes
else:
xaxis, yaxis = self.get_active_axes()
return [(dx, xaxis), (dy, yaxis)]
def do_pan_view(self, dx, dy):
"""
Translate the active axes by dx, dy
dx, dy are tuples composed of (initial pos, dest pos)
"""
auto = self.autoReplot()
self.setAutoReplot(False)
axes_to_update = self.get_axes_to_update(dx, dy)
for (x1, x0, _start, _width), axis_id in axes_to_update:
lbound, hbound = self.get_axis_limits(axis_id)
i_lbound = self.transform(axis_id, lbound)
i_hbound = self.transform(axis_id, hbound)
delta = x1-x0
vmin = self.invTransform(axis_id, i_lbound-delta)
vmax = self.invTransform(axis_id, i_hbound-delta)
self.set_axis_limits(axis_id, vmin, vmax)
self.setAutoReplot(auto)
self.replot()
# the signal MUST be emitted after replot, otherwise
# we receiver won't see the new bounds (don't know why?)
self.emit(SIG_PLOT_AXIS_CHANGED, self)
def do_zoom_view(self, dx, dy, lock_aspect_ratio=False):
"""
Change the scale of the active axes (zoom/dezoom) according to dx, dy
dx, dy are tuples composed of (initial pos, dest pos)
We try to keep initial pos fixed on the canvas as the scale changes
"""
# See guiqwt/events.py where dx and dy are defined like this:
# dx = (pos.x(), self.last.x(), self.start.x(), rct.width())
# dy = (pos.y(), self.last.y(), self.start.y(), rct.height())
# where:
# * self.last is the mouse position seen during last event
# * self.start is the first mouse position (here, this is the
# coordinate of the point which is at the center of the zoomed area)
# * rct is the plot rect contents
# * pos is the current mouse cursor position
auto = self.autoReplot()
self.setAutoReplot(False)
dx = (-1,) + dx # adding direction to tuple dx
dy = (1,) + dy # adding direction to tuple dy
if lock_aspect_ratio:
direction, x1, x0, start, width = dx
F = 1+3*direction*float(x1-x0)/width
axes_to_update = self.get_axes_to_update(dx, dy)
for (direction, x1, x0, start, width), axis_id in axes_to_update:
lbound, hbound = self.get_axis_limits(axis_id)
if not lock_aspect_ratio:
F = 1+3*direction*float(x1-x0)/width
if F*(hbound-lbound) == 0:
continue
if self.get_axis_scale(axis_id) == 'lin':
orig = self.invTransform(axis_id, start)
vmin = orig-F*(orig-lbound)
vmax = orig+F*(hbound-orig)
else: # log scale
i_lbound = self.transform(axis_id, lbound)
i_hbound = self.transform(axis_id, hbound)
imin = start - F*(start-i_lbound)
imax = start + F*(i_hbound-start)
vmin = self.invTransform(axis_id, imin)
vmax = self.invTransform(axis_id, imax)
self.set_axis_limits(axis_id, vmin, vmax)
self.setAutoReplot(auto)
self.replot()
# the signal MUST be emitted after replot, otherwise
# we receiver won't see the new bounds (don't know why?)
self.emit(SIG_PLOT_AXIS_CHANGED, self)
def do_zoom_rect_view(self, start, end):
# XXX implement the case when axes are synchronised
x1, y1 = start.x(), start.y()
x2, y2 = end.x(), end.y()
xaxis, yaxis = self.get_active_axes()
active_axes = [ (x1, x2, xaxis),
(y1, y2, yaxis) ]
for h1, h2, k in active_axes:
o1 = self.invTransform(k, h1)
o2 = self.invTransform(k, h2)
if o1 > o2:
o1, o2 = o2, o1
if o1 == o2:
continue
if self.get_axis_direction(k):
o1, o2 = o2, o1
self.setAxisScale(k, o1, o2)
self.replot()
def get_default_item(self):
"""Return default item, depending on plot's default item type
(e.g. for a curve plot, this is a curve item type).
Return nothing if there is more than one item matching
the default item type."""
items = self.get_items(item_type=self.DEFAULT_ITEM_TYPE)
if len(items) == 1:
return items[0]
#---- BasePlot API ---------------------------------------------------------
def add_item(self, item, z=None):
"""
Add a *plot item* instance to this *plot widget*
* item: QwtPlotItem (PyQt4.Qwt5) object implementing
the IBasePlotItem interface (guiqwt.interfaces)
* z: item's z order (None -> z = max(self.get_items())+1)
"""
if isinstance(item, QwtPlotCurve):
item.setRenderHint(QwtPlotItem.RenderAntialiased, self.antialiased)
BasePlot.add_item(self, item, z)
def del_all_items(self, except_grid=True):
"""Del all items, eventually (default) except grid"""
items = [item for item in self.items
if not except_grid or item is not self.grid]
self.del_items(items)
def set_active_item(self, item):
"""Override base set_active_item to change the grid's
axes according to the selected item"""
old_active = self.active_item
BasePlot.set_active_item(self, item)
if item is not None and old_active is not item:
self.grid.setAxis(item.xAxis(), item.yAxis())
def get_plot_parameters(self, key, itemparams):
if key == "grid":
self.grid.gridparam.update_param(self.grid)
itemparams.add("GridParam", self, self.grid.gridparam)
else:
BasePlot.get_plot_parameters(self, key, itemparams)
def set_item_parameters(self, itemparams):
# Grid style
dataset = itemparams.get("GridParam")
if dataset is not None:
dataset.update_grid(self.grid)
self.grid.gridparam = dataset
BasePlot.set_item_parameters(self, itemparams)
def do_autoscale(self, replot=True):
"""Do autoscale on all axes"""
# XXX implement the case when axes are synchronised
for axis_id in self.AXIS_IDS:
vmin, vmax = None, None
if not self.axisEnabled(axis_id):
continue
for item in self.get_items():
if isinstance(item, self.AUTOSCALE_TYPES) \
and not item.is_empty() and item.isVisible():
bounds = item.boundingRect()
if axis_id == item.xAxis():
xmin, xmax = bounds.left(), bounds.right()
if vmin is None or xmin < vmin:
vmin = xmin
if vmax is None or xmax > vmax:
vmax = xmax
elif axis_id == item.yAxis():
ymin, ymax = bounds.top(), bounds.bottom()
if vmin is None or ymin < vmin:
vmin = ymin
if vmax is None or ymax > vmax:
vmax = ymax
if vmin is None or vmax is None:
continue
if vmin == vmax: # same behavior as MATLAB
vmin -= 1
vmax += 1
elif self.get_axis_scale(axis_id) == 'lin':
dv = vmax-vmin
vmin -= .002*dv
vmax += .002*dv
elif vmin > 0 and vmax > 0: # log scale
dv = np.log10(vmax)-np.log10(vmin)
vmin = 10**(np.log10(vmin)-.002*dv)
vmax = 10**(np.log10(vmax)+.002*dv)
self.set_axis_limits(axis_id, vmin, vmax)
if replot:
self.replot()
def set_axis_limits(self, axis_id, vmin, vmax, stepsize=0):
"""Set axis limits (minimum and maximum values)"""
axis_id = self.get_axis_id(axis_id)
vmin, vmax = sorted([vmin, vmax])
if self.get_axis_direction(axis_id):
BasePlot.set_axis_limits(self, axis_id, vmax, vmin, stepsize)
else:
BasePlot.set_axis_limits(self, axis_id, vmin, vmax, stepsize)
#---- Public API -----------------------------------------------------------
def get_axis_direction(self, axis_id):
"""
Return axis direction of increasing values
* axis_id: axis id (BasePlot.Y_LEFT, BasePlot.X_BOTTOM, ...)
or string: 'bottom', 'left', 'top' or 'right'
"""
axis_id = self.get_axis_id(axis_id)
return self.axes_reverse[axis_id]
def set_axis_direction(self, axis_id, reverse=False):
"""
Set axis direction of increasing values
* axis_id: axis id (BasePlot.Y_LEFT, BasePlot.X_BOTTOM, ...)
or string: 'bottom', 'left', 'top' or 'right'
* reverse: False (default)
- x-axis values increase from left to right
- y-axis values increase from bottom to top
* reverse: True
- x-axis values increase from right to left
- y-axis values increase from top to bottom
"""
axis_id = self.get_axis_id(axis_id)
if reverse != self.axes_reverse[axis_id]:
self.replot()
self.axes_reverse[axis_id] = reverse
axis_map = self.canvasMap(axis_id)
self.setAxisScale(axis_id, axis_map.s2(), axis_map.s1())
self.updateAxes()
self.emit(SIG_AXIS_DIRECTION_CHANGED, self, axis_id)
def set_titles(self, title=None, xlabel=None, ylabel=None,
xunit=None, yunit=None):
"""
Set plot and axes titles at once
* title: plot title
* xlabel: (bottom axis title, top axis title)
or bottom axis title only
* ylabel: (left axis title, right axis title)
or left axis title only
* xunit: (bottom axis unit, top axis unit)
or bottom axis unit only
* yunit: (left axis unit, right axis unit)
or left axis unit only
"""
if title is not None:
self.set_title(title)
if xlabel is not None:
if is_text_string(xlabel):
xlabel = (xlabel, "")
for label, axis in zip(xlabel, ("bottom", "top")):
if label is not None:
self.set_axis_title(axis, label)
if ylabel is not None:
if is_text_string(ylabel):
ylabel = (ylabel, "")
for label, axis in zip(ylabel, ("left", "right")):
if label is not None:
self.set_axis_title(axis, label)
if xunit is not None:
if is_text_string(xunit):
xunit = (xunit, "")
for unit, axis in zip(xunit, ("bottom", "top")):
if unit is not None:
self.set_axis_unit(axis, unit)
if yunit is not None:
if is_text_string(yunit):
yunit = (yunit, "")
for unit, axis in zip(yunit, ("left", "right")):
if unit is not None:
self.set_axis_unit(axis, unit)
def set_pointer(self, pointer_type):
"""
Set pointer.
Valid values of `pointer_type`:
* None: disable pointer
* "canvas": enable canvas pointer
* "curve": enable on-curve pointer
"""
self.canvas_pointer = False
self.curve_pointer = False
if pointer_type == "canvas":
self.canvas_pointer = True
elif pointer_type == "curve":
self.curve_pointer = True
def set_antialiasing(self, checked):
"""Toggle curve antialiasing"""
self.antialiased = checked
for curve in self.itemList():
if isinstance(curve, QwtPlotCurve):
curve.setRenderHint(QwtPlotItem.RenderAntialiased,
self.antialiased)
def set_plot_limits(self, x0, x1, y0, y1, xaxis="bottom", yaxis="left"):
"""Set plot scale limits"""
self.set_axis_limits(yaxis, y0, y1)
self.set_axis_limits(xaxis, x0, x1)
self.updateAxes()
self.emit(SIG_AXIS_DIRECTION_CHANGED, self, self.get_axis_id(yaxis))
self.emit(SIG_AXIS_DIRECTION_CHANGED, self, self.get_axis_id(xaxis))
def set_plot_limits_synchronised(self, x0, x1, y0, y1):
for yaxis, xaxis in (("left", "bottom"), ("right", "top")):
self.set_plot_limits(x0, x1, y0, y1, xaxis=xaxis, yaxis=yaxis)
def get_plot_limits(self, xaxis="bottom", yaxis="left"):
"""Return plot scale limits"""
x0, x1 = self.get_axis_limits(xaxis)
y0, y1 = self.get_axis_limits(yaxis)
return x0, x1, y0, y1
guiqwt-2.3.1/guiqwt/io.py 0000666 0000000 0000000 00000050144 12144123504 014040 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2012 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
# pylint: disable=C0103
"""
guiqwt.io
---------
The `io` module provides input/output helper functions:
* :py:func:`guiqwt.io.imread`: load an image (.png, .tiff,
.dicom, etc.) and return its data as a NumPy array
* :py:func:`guiqwt.io.imwrite`: save an array to an image file
* :py:func:`guiqwt.io.load_items`: load plot items from HDF5
* :py:func:`guiqwt.io.save_items`: save plot items to HDF5
Reference
~~~~~~~~~
.. autofunction:: imread
.. autofunction:: imwrite
.. autofunction:: load_items
.. autofunction:: save_items
"""
from __future__ import print_function
import sys
import re
import os.path as osp
import numpy as np
from guidata.py3compat import is_text_string, to_text_string
# Local imports
from guiqwt.config import _
def scale_data_to_dtype(data, dtype):
"""Scale array `data` to fit datatype `dtype` dynamic range
WARNING: modifies data in place"""
info = np.iinfo(dtype)
dmin = data.min()
dmax = data.max()
data -= dmin
data *= float(info.max-info.min)/(dmax-dmin)
data += float(info.min)
return np.array(data, dtype)
def eliminate_outliers(data, percent=2., bins=256):
"""Eliminate data histogram outliers"""
hist, bin_edges = np.histogram(data, bins)
from guiqwt.histogram import hist_range_threshold
vmin, vmax = hist_range_threshold(hist, bin_edges, percent)
return data.clip(vmin, vmax)
#===============================================================================
# I/O File type definitions
#===============================================================================
class FileType(object):
"""Filetype object:
* `name` : description of filetype,
* `read_func`, `write_func` : I/O callbacks,
* `extensions`: filename extensions (with a dot!) or filenames,
(list, tuple or space-separated string)
* `data_types`: supported data types"""
def __init__(self, name, extensions, read_func=None, write_func=None,
data_types=None, requires_template=False):
self.name = name
if is_text_string(extensions):
extensions = extensions.split()
self.extensions = [osp.splitext(' '+ext)[1] for ext in extensions]
self.read_func = read_func
self.write_func = write_func
self.data_types = data_types
self.requires_template = requires_template
def matches(self, action, dtype, template):
"""Return True if file type matches passed data type and template
(or if dtype is None)"""
assert action in ('load', 'save')
matches = dtype is None or self.data_types is None \
or dtype in self.data_types
if action == 'save' and self.requires_template:
matches = matches and template is not None
return matches
@property
def wcards(self):
return "*"+(" *".join(self.extensions))
def filters(self, action, dtype, template):
assert action in ('load', 'save')
if self.matches(action, dtype, template):
return '\n%s (%s)' % (self.name, self.wcards)
else:
return ''
class ImageIOHandler(object):
"""I/O handler: regroup all FileType objects"""
def __init__(self):
self.filetypes = []
def allfilters(self, action, dtype, template):
wcards = ' '.join([ftype.wcards for ftype in self.filetypes
if ftype.matches(action, dtype, template)])
return '%s (%s)' % (_("All supported files"), wcards)
def get_filters(self, action, dtype=None, template=None):
"""Return file type filters for `action` (string: 'save' or 'load'),
`dtype` data type (None: all data types), and `template` (True if save
function requires a template (e.g. DICOM files), False otherwise)"""
filters = self.allfilters(action, dtype, template)
for ftype in self.filetypes:
filters += ftype.filters(action, dtype, template)
return filters
def add(self, name, extensions, read_func=None, write_func=None,
import_func=None, data_types=None, requires_template=None):
if import_func is not None:
try:
import_func()
except ImportError:
return
assert read_func is not None or write_func is not None
ftype = FileType(name, extensions, read_func=read_func,
write_func=write_func, data_types=data_types,
requires_template=requires_template)
self.filetypes.append(ftype)
def _get_filetype(self, ext):
"""Return FileType object associated to file extension `ext`"""
for ftype in self.filetypes:
if ext.lower() in ftype.extensions:
return ftype
else:
raise RuntimeError("Unsupported file type: '%s'" % ext)
def get_readfunc(self, ext):
"""Return read function associated to file extension `ext`"""
ftype = self._get_filetype(ext)
if ftype.read_func is None:
raise RuntimeError("Unsupported file type (read): '%s'" % ext)
else:
return ftype.read_func
def get_writefunc(self, ext):
"""Return read function associated to file extension `ext`"""
ftype = self._get_filetype(ext)
if ftype.write_func is None:
raise RuntimeError("Unsupported file type (write): '%s'" % ext)
else:
return ftype.write_func
iohandler = ImageIOHandler()
#==============================================================================
# PIL-based Private I/O functions
#==============================================================================
if sys.byteorder == 'little':
_ENDIAN = '<'
else:
_ENDIAN = '>'
DTYPES = {
"1": ('|b1', None),
"L": ('|u1', None),
"I": ('%si4' % _ENDIAN, None),
"F": ('%sf4' % _ENDIAN, None),
"I;16": ('%su2' % _ENDIAN, None),
"I;16B": ('%su2' % _ENDIAN, None),
"I;16S": ('%si2' % _ENDIAN, None),
"P": ('|u1', None),
"RGB": ('|u1', 3),
"RGBX": ('|u1', 4),
"RGBA": ('|u1', 4),
"CMYK": ('|u1', 4),
"YCbCr": ('|u1', 4),
}
def _imread_pil(filename, to_grayscale=False):
"""Open image with PIL and return a NumPy array"""
import PIL.Image
import PIL.TiffImagePlugin # py2exe
PIL.TiffImagePlugin.OPEN_INFO[(PIL.TiffImagePlugin.II,
0, 1, 1, (16,), ())] = ("I;16", "I;16")
img = PIL.Image.open(filename)
if img.mode in ("CMYK", "YCbCr"):
# Converting to RGB
img = img.convert("RGB")
if to_grayscale and img.mode in ("RGB", "RGBA", "RGBX"):
# Converting to grayscale
img = img.convert("L")
elif img.mode == "P":
img = img.convert("RGB")
elif "A" in img.mode:
img = img.convert("RGBA")
try:
dtype, extra = DTYPES[img.mode]
except KeyError:
raise RuntimeError("%s mode is not supported" % img.mode)
shape = (img.size[1], img.size[0])
if extra is not None:
shape += (extra,)
try:
return np.array(img, dtype=np.dtype(dtype)).reshape(shape)
except SystemError:
return np.array(img.getdata(), dtype=np.dtype(dtype)).reshape(shape)
def _imwrite_pil(filename, arr):
"""Write `arr` NumPy array to `filename` using PIL"""
import PIL.Image
import PIL.TiffImagePlugin # py2exe
for mode, (dtype_str, _extra) in list(DTYPES.items()):
if dtype_str == arr.dtype.str:
break
else:
raise RuntimeError("Cannot determine PIL data type")
img = PIL.Image.fromarray(arr, mode)
img.save(filename)
#==============================================================================
# DICOM Private I/O functions
#==============================================================================
def _import_dcm():
"""DICOM Import function (checking for required libraries):
DICOM support requires library `pydicom`"""
import logging
logger = logging.getLogger("pydicom")
logger.setLevel(logging.CRITICAL)
import dicom # analysis:ignore
logger.setLevel(logging.WARNING)
def _imread_dcm(filename):
"""Open DICOM image with pydicom and return a NumPy array"""
import dicom
dcm = dicom.ReadFile(filename)
# **********************************************************************
# The following is necessary until pydicom numpy support is improved:
# (after that, a simple: 'arr = dcm.PixelArray' will work the same)
format_str = '%sint%s' % (('u', '')[dcm.PixelRepresentation],
dcm.BitsAllocated)
try:
dtype = np.dtype(format_str)
except TypeError:
raise TypeError("Data type not understood by NumPy: "
"PixelRepresentation=%d, BitsAllocated=%d" % (
dcm.PixelRepresentation, dcm.BitsAllocated))
arr = np.fromstring(dcm.PixelData, dtype)
try:
# pydicom 0.9.3:
dcm_is_little_endian = dcm.isLittleEndian
except AttributeError:
# pydicom 0.9.4:
dcm_is_little_endian = dcm.is_little_endian
if dcm_is_little_endian != (sys.byteorder == 'little'):
arr.byteswap(True)
if hasattr(dcm, 'NumberofFrames') and dcm.NumberofFrames > 1:
if dcm.SamplesperPixel > 1:
arr = arr.reshape(dcm.SamplesperPixel, dcm.NumberofFrames,
dcm.Rows, dcm.Columns)
else:
arr = arr.reshape(dcm.NumberofFrames, dcm.Rows, dcm.Columns)
else:
if dcm.SamplesperPixel > 1:
if dcm.BitsAllocated == 8:
arr = arr.reshape(dcm.SamplesperPixel, dcm.Rows, dcm.Columns)
else:
raise NotImplementedError("This code only handles "
"SamplesPerPixel > 1 if Bits Allocated = 8")
else:
arr = arr.reshape(dcm.Rows, dcm.Columns)
# **********************************************************************
return arr
def _imwrite_dcm(filename, arr, template=None):
"""Save a numpy array `arr` into a DICOM image file `filename`
based on DICOM structure `template`"""
# Note: due to IOHandler formalism, `template` has to be a keyword argument
assert template is not None,\
"The `template` keyword argument is required to save DICOM files\n"\
"(that is the template DICOM structure object)"
infos = np.iinfo(arr.dtype)
template.BitsAllocated = infos.bits
template.BitsStored = infos.bits
template.HighBit = infos.bits-1
template.PixelRepresentation = ('u', 'i').index(infos.kind)
data_vr = ('US', 'SS')[template.PixelRepresentation]
template.Rows = arr.shape[0]
template.Columns = arr.shape[1]
template.SmallestImagePixelValue = int(arr.min())
template[0x00280106].VR = data_vr
template.LargestImagePixelValue = int(arr.max())
template[0x00280107].VR = data_vr
if not template.PhotometricInterpretation.startswith('MONOCHROME'):
template.PhotometricInterpretation = 'MONOCHROME1'
template.PixelData = arr.tostring()
template[0x7fe00010].VR = 'OB'
template.save_as(filename)
#==============================================================================
# Text files Private I/O functions
#==============================================================================
def _imread_txt(filename):
"""Open text file image and return a NumPy array"""
for delimiter in ('\t', ',', ' ', ';'):
try:
return np.loadtxt(filename, delimiter=delimiter)
except ValueError:
continue
else:
raise
def _imwrite_txt(filename, arr):
"""Write `arr` NumPy array to text file `filename`"""
if arr.dtype in (np.int8, np.uint8, np.int16, np.uint16,
np.int32, np.uint32):
fmt = '%d'
else:
fmt = '%.18e'
ext = osp.splitext(filename)[1]
if ext.lower() in (".txt", ".asc", ""):
np.savetxt(filename, arr, fmt=fmt)
elif ext.lower() == ".csv":
np.savetxt(filename, arr, fmt=fmt, delimiter=',')
#==============================================================================
# Registering I/O functions
#==============================================================================
iohandler.add(_("PNG files"), '*.png',
read_func=_imread_pil, write_func=_imwrite_pil,
data_types=(np.uint8, np.uint16))
iohandler.add(_("TIFF files"), '*.tif *.tiff',
read_func=_imread_pil, write_func=_imwrite_pil)
iohandler.add(_("8-bit images"), '*.jpg *.gif',
read_func=_imread_pil, write_func=_imwrite_pil,
data_types=(np.uint8,))
iohandler.add(_("NumPy arrays"), '*.npy',
read_func=np.load, write_func=np.save)
iohandler.add(_("Text files"), '*.txt *.csv *.asc',
read_func=_imread_txt, write_func=_imwrite_txt)
iohandler.add(_("DICOM files"), '*.dcm', read_func=_imread_dcm,
write_func=_imwrite_dcm, import_func=_import_dcm,
data_types=(np.int8, np.uint8, np.int16, np.uint16),
requires_template=True)
#==============================================================================
# Generic image read/write functions
#==============================================================================
def imread(fname, ext=None, to_grayscale=False):
"""Return a NumPy array from an image filename `fname`.
If `to_grayscale` is True, convert RGB images to grayscale
The `ext` (optional) argument is a string that specifies the file extension
which defines the input format: when not specified, the input format is
guessed from filename."""
if not is_text_string(fname):
fname = to_text_string(fname) # in case filename is a QString instance
if ext is None:
_base, ext = osp.splitext(fname)
arr = iohandler.get_readfunc(ext)(fname)
if to_grayscale and arr.ndim == 3:
# Converting to grayscale
return arr[..., :4].mean(axis=2)
else:
return arr
def imwrite(fname, arr, ext=None, dtype=None, max_range=None, **kwargs):
"""Save a NumPy array to an image filename `fname`.
If `to_grayscale` is True, convert RGB images to grayscale
The `ext` (optional) argument is a string that specifies the file extension
which defines the input format: when not specified, the input format is
guessed from filename.
If `max_range` is True, array data is scaled to fit the `dtype` (or data
type itself if `dtype` is None) dynamic range
Warning: option `max_range` changes data in place"""
if not is_text_string(fname):
fname = to_text_string(fname) # in case filename is a QString instance
if ext is None:
_base, ext = osp.splitext(fname)
if max_range:
arr = scale_data_to_dtype(arr, arr.dtype if dtype is None else dtype)
iohandler.get_writefunc(ext)(fname, arr, **kwargs)
#==============================================================================
# Deprecated functions
#==============================================================================
def imagefile_to_array(filename, to_grayscale=False):
"""
Return a NumPy array from an image file `filename`
If `to_grayscale` is True, convert RGB images to grayscale
"""
print("io.imagefile_to_array is deprecated: use io.imread instead", file=sys.stderr)
return imread(filename, to_grayscale=to_grayscale)
def array_to_imagefile(arr, filename, mode=None, max_range=False):
"""
Save a numpy array `arr` into an image file `filename`
Warning: option 'max_range' changes data in place
"""
print("io.array_to_imagefile is deprecated: use io.imwrite instead", file=sys.stderr)
return imwrite(filename, arr, mode=mode, max_range=max_range)
#==============================================================================
# guiqwt plot items I/O
#==============================================================================
SERIALIZABLE_ITEMS = []
ITEM_MODULES = {}
def register_serializable_items(modname, classnames):
"""Register serializable item from module name and class name"""
global SERIALIZABLE_ITEMS, ITEM_MODULES
SERIALIZABLE_ITEMS += classnames
ITEM_MODULES[modname] = ITEM_MODULES.setdefault(modname, []) + classnames
# Curves
register_serializable_items('guiqwt.curve',
['CurveItem', 'PolygonMapItem', 'ErrorBarCurveItem'])
# Images
register_serializable_items('guiqwt.image',
['RawImageItem', 'ImageItem', 'TrImageItem', 'XYImageItem',
'RGBImageItem', 'MaskedImageItem'])
# Shapes
register_serializable_items('guiqwt.shapes',
['PolygonShape', 'PointShape', 'SegmentShape', 'RectangleShape',
'ObliqueRectangleShape', 'EllipseShape', 'Axes'])
# Annotations
register_serializable_items('guiqwt.annotations',
['AnnotatedPoint', 'AnnotatedSegment', 'AnnotatedRectangle',
'AnnotatedObliqueRectangle', 'AnnotatedEllipse', 'AnnotatedCircle'])
# Labels
register_serializable_items('guiqwt.label',
['LabelItem', 'LegendBoxItem', 'SelectedLegendBoxItem'])
def item_class_from_name(name):
"""Return plot item class from class name"""
global SERIALIZABLE_ITEMS, ITEM_MODULES
assert name in SERIALIZABLE_ITEMS, "Unknown class %r" % name
for modname, names in list(ITEM_MODULES.items()):
if name in names:
return getattr(__import__(modname, fromlist=[name]), name)
def item_name_from_object(obj):
"""Return plot item class name from instance"""
return obj.__class__.__name__
def save_item(writer, group_name, item):
"""Save plot item to HDF5 group"""
with writer.group(group_name):
if item is None:
writer.write_none()
else:
item.serialize(writer)
with writer.group('item_class_name'):
writer.write_str(item_name_from_object(item))
def load_item(reader, group_name):
"""Load plot item from HDF5 group"""
with reader.group(group_name):
with reader.group('item_class_name'):
try:
klass_name = reader.read_str()
except ValueError:
# None was saved instead of a real item
return
klass = item_class_from_name(klass_name)
item = klass()
item.deserialize(reader)
return item
def save_items(writer, items):
"""Save items to HDF5 file:
* writer: :py:class:`guidata.hdf5io.HDF5Writer` object
* items: serializable plot items"""
counts = {}
names = []
def _get_name(item):
basename = item_name_from_object(item)
count = counts[basename] = counts.setdefault(basename, 0) + 1
name = '%s_%03d' % (basename, count)
names.append(name)
return name
for item in items:
with writer.group(_get_name(item)):
item.serialize(writer)
with writer.group('plot_items'):
writer.write_sequence(names)
def load_items(reader):
"""Load items from HDF5 file:
* reader: :py:class:`guidata.hdf5io.HDF5Reader` object"""
with reader.group('plot_items'):
names = reader.read_sequence()
items = []
for name in names:
klass_name = re.match(r'([A-Z]+[A-Za-z0-9\_]*)\_([0-9]*)',
name).groups()[0]
klass = item_class_from_name(klass_name)
item = klass()
with reader.group(name):
item.deserialize(reader)
items.append(item)
return items
if __name__ == '__main__':
# Test if items can all be constructed from their Python module
for name in SERIALIZABLE_ITEMS:
print(name, '-->', item_class_from_name(name))
guiqwt-2.3.1/guiqwt/debug.py 0000666 0000000 0000000 00000004346 12144123504 014522 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2010 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
"""
guiqwt.debug
------------
The `debug` module contains some debugging functions (mostly dumping attributes
of Qt Objects).
"""
from __future__ import print_function
from guidata.qt.QtGui import QImage, QInputEvent
from guidata.qt.QtCore import Qt, QEvent
from guidata.py3compat import io
def buttons_to_str(buttons):
"""Conversion des flags Qt en chaine"""
string = ""
if buttons & Qt.LeftButton:
string += "L"
if buttons & Qt.MidButton:
string += "M"
if buttons & Qt.RightButton:
string += "R"
return string
def evt_type_to_str(type):
"""Représentation textuelle d'un type d'événement (debug)"""
if type == QEvent.MouseButtonPress:
return "Mpress"
elif type == QEvent.MouseButtonRelease:
return "Mrelease"
elif type == QEvent.MouseMove:
return "Mmove"
elif type == QEvent.ContextMenu:
return "Context"
else:
return "%d" % type
def print_event(evt):
"""Représentation textuelle d'un événement (debug)"""
string = ""
if isinstance(evt, QInputEvent):
string += evt_type_to_str( evt.type() )
string += "%08x:" % evt.modifiers()
if hasattr(evt, "buttons"):
buttons = evt.buttons()
elif hasattr(evt, "buttons"):
buttons = evt.button()
else:
buttons = 0
string += buttons_to_str(buttons)
if string:
print(string)
else:
print(evt)
def qimage_format( fmt ):
for attr in dir(QImage):
if attr.startswith("Format"):
val = getattr(QImage, attr)
if val == fmt:
return attr[len("Format_"):]
return str(fmt)
def qimage_to_str( img, indent="" ):
fd = io.StringIO()
print(indent, img, file=fd)
indent += " "
print(indent, "Size:", img.width(), "x", img.height(), file=fd)
print(indent, "Depth:", img.depth(), file=fd)
print(indent, "Format", qimage_format(img.format()), file=fd)
return fd.getvalue()
guiqwt-2.3.1/guiqwt/label.py 0000666 0000000 0000000 00000047162 12144123504 014516 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2010 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
# pylint: disable=C0103
"""
guiqwt.label
------------
The `labels` module provides plot items related to labels and legends:
* :py:class:`guiqwt.shapes.LabelItem`
* :py:class:`guiqwt.shapes.LegendBoxItem`
* :py:class:`guiqwt.shapes.SelectedLegendBoxItem`
* :py:class:`guiqwt.shapes.RangeComputation`
* :py:class:`guiqwt.shapes.RangeComputation2d`
* :py:class:`guiqwt.shapes.DataInfoLabel`
A label or a legend is a plot item (derived from QwtPlotItem) that may be
displayed on a 2D plotting widget like :py:class:`guiqwt.curve.CurvePlot`
or :py:class:`guiqwt.image.ImagePlot`.
Reference
~~~~~~~~~
.. autoclass:: LabelItem
:members:
:inherited-members:
.. autoclass:: LegendBoxItem
:members:
:inherited-members:
.. autoclass:: SelectedLegendBoxItem
:members:
:inherited-members:
.. autoclass:: RangeComputation
:members:
:inherited-members:
.. autoclass:: RangeComputation2d
:members:
:inherited-members:
.. autoclass:: DataInfoLabel
:members:
:inherited-members:
"""
from guidata.qt.QtGui import QPen, QColor, QTextDocument
from guidata.qt.QtCore import QRectF
from guidata.utils import assert_interfaces_valid, update_dataset
from guidata.py3compat import to_text_string
# Local imports
from guiqwt.transitional import QwtPlotItem
from guiqwt.config import CONF, _
from guiqwt.curve import CurveItem
from guiqwt.interfaces import IBasePlotItem, IShapeItemType, ISerializableType
from guiqwt.styles import LabelParam
from guiqwt.signals import SIG_ITEM_MOVED
ANCHORS = {
"TL": lambda r: (r.left(), r.top()),
"TR": lambda r: (r.right(), r.top()),
"BL": lambda r: (r.left(), r.bottom()),
"BR": lambda r: (r.right(), r.bottom()),
"L": lambda r: (r.left(), (r.top()+r.bottom())/2.),
"R": lambda r: (r.right(), (r.top()+r.bottom())/2.),
"T": lambda r: ((r.left()+r.right())/2.0, r.top()),
"B": lambda r: ((r.left()+r.right())/2.0, r.bottom()),
"C": lambda r: ((r.left()+r.right())/2.0, (r.top()+r.bottom())/2.),
}
class AbstractLabelItem(QwtPlotItem):
"""Draws a label on the canvas at position :
G+C where G is a point in plot coordinates and C a point
in canvas coordinates.
G can also be an anchor string as in ANCHORS in which case
the label will keep a fixed position wrt the canvas rect
"""
_readonly = False
_private = False
def __init__(self, labelparam=None):
super(AbstractLabelItem, self).__init__()
self.selected = False
self.anchor = None
self.G = None
self.C = None
self.border_pen = None
self.bg_brush = None
if labelparam is None:
self.labelparam = LabelParam(_("Label"), icon='label.png')
else:
self.labelparam = labelparam
self.labelparam.update_label(self)
def set_style(self, section, option):
self.labelparam.read_config(CONF, section, option)
self.labelparam.update_label(self)
def __reduce__(self):
return (self.__class__, (self.labelparam,))
def serialize(self, writer):
"""Serialize object to HDF5 writer"""
self.labelparam.update_param(self)
writer.write(self.labelparam, group_name='labelparam')
def deserialize(self, reader):
"""Deserialize object from HDF5 reader"""
self.labelparam = LabelParam(_("Label"), icon='label.png')
reader.read('labelparam', instance=self.labelparam)
self.labelparam.update_label(self)
def get_text_rect(self):
return QRectF(0.0, 0.0, 10., 10.)
def types(self):
return (IShapeItemType, )
def set_text_style(self, font=None, color=None):
raise NotImplementedError
def get_top_left(self, xMap, yMap, canvasRect):
x0, y0 = self.get_origin(xMap, yMap, canvasRect)
x0 += self.C[0]
y0 += self.C[1]
rect = self.get_text_rect()
pos = ANCHORS[self.anchor](rect)
x0 -= pos[0]
y0 -= pos[1]
return x0, y0
def get_origin(self, xMap, yMap, canvasRect):
if self.G in ANCHORS:
return ANCHORS[self.G](canvasRect)
else:
x0 = xMap.transform(self.G[0])
y0 = yMap.transform(self.G[1])
return x0, y0
def set_selectable(self, state):
"""Set item selectable state"""
self._can_select = state
def set_resizable(self, state):
"""Set item resizable state
(or any action triggered when moving an handle, e.g. rotation)"""
self._can_resize = state
def set_movable(self, state):
"""Set item movable state"""
self._can_move = state
def set_rotatable(self, state):
"""Set item rotatable state"""
self._can_rotate = state
def can_select(self):
return True
def can_resize(self):
return False
def can_move(self):
return True
def can_rotate(self):
return False #TODO: Implement labels rotation?
def set_readonly(self, state):
"""Set object readonly state"""
self._readonly = state
def is_readonly(self):
"""Return object readonly state"""
return self._readonly
def set_private(self, state):
"""Set object as private"""
self._private = state
def is_private(self):
"""Return True if object is private"""
return self._private
def invalidate_plot(self):
plot = self.plot()
if plot:
plot.invalidate()
def select(self):
"""Select item"""
if self.selected:
# Already selected
return
self.selected = True
w = self.border_pen.width()
self.border_pen.setWidth(w+1)
self.invalidate_plot()
def unselect(self):
"""Unselect item"""
self.selected = False
self.labelparam.update_label(self)
self.invalidate_plot()
def hit_test(self, pos):
plot = self.plot()
if plot is None:
return
rect = self.get_text_rect()
canvasRect = plot.canvas().contentsRect()
xMap = plot.canvasMap(self.xAxis())
yMap = plot.canvasMap(self.yAxis())
x, y = self.get_top_left(xMap, yMap, canvasRect)
rct = QRectF(x, y, rect.width(), rect.height())
inside = rct.contains( pos.x(), pos.y())
if inside:
return self.click_inside(pos.x()-x, pos.y()-y)
else:
return 1000.0, None, False, None
def click_inside(self, locx, locy):
return 2.0, 1, True, None
def get_item_parameters(self, itemparams):
self.labelparam.update_param(self)
itemparams.add("LabelParam", self, self.labelparam)
def set_item_parameters(self, itemparams):
update_dataset(self.labelparam, itemparams.get("LabelParam"),
visible_only=True)
self.labelparam.update_label(self)
if self.selected:
self.select()
def move_local_point_to(self, handle, pos, ctrl=None):
"""Move a handle as returned by hit_test to the new position pos
ctrl: True if
".join(text) )
guiqwt-2.3.1/guiqwt/pyplot.py 0000666 0000000 0000000 00000052617 12144123504 014767 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2010 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
# pylint: disable=C0103
"""
guiqwt.pyplot
-------------
The `pyplot` module provides an interactive plotting interface similar to
`Matplotlib`'s, i.e. with MATLAB-like syntax.
The :py:mod:`guiqwt.pyplot` module was designed to be as close as possible
to the :py:mod:`matplotlib.pyplot` module, so that one could easily switch
between these two modules by simply changing the import statement. Basically,
if `guiqwt` does support the plotting commands called in your script, replacing
``import matplotlib.pyplot`` by ``import guiqwt.pyplot`` should suffice, as
shown in the following example:
* Simple example using `matplotlib`::
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(-10, 10)
plt.plot(x, x**2, 'r+')
plt.show()
* Switching from `matplotlib` to `guiqwt` is trivial::
import guiqwt.pyplot as plt # only this line has changed!
import numpy as np
x = np.linspace(-10, 10)
plt.plot(x, x**2, 'r+')
plt.show()
Examples
~~~~~~~~
>>> import numpy as np
>>> from guiqwt.pyplot import * # ugly but acceptable in an interactive session
>>> ion() # switching to interactive mode
>>> x = np.linspace(-5, 5, 1000)
>>> figure(1)
>>> subplot(2, 1, 1)
>>> plot(x, np.sin(x), "r+")
>>> plot(x, np.cos(x), "g-")
>>> errorbar(x, -1+x**2/20+.2*np.random.rand(len(x)), x/20)
>>> xlabel("Axe x")
>>> ylabel("Axe y")
>>> subplot(2, 1, 2)
>>> img = np.fromfunction(lambda x, y: np.sin((x/200.)*(y/200.)**2), (1000, 1000))
>>> xlabel("pixels")
>>> ylabel("pixels")
>>> zlabel("intensity")
>>> gray()
>>> imshow(img)
>>> figure("plotyy")
>>> plotyy(x, np.sin(x), x, np.cos(x))
>>> ylabel("sinus", "cosinus")
>>> show()
Reference
~~~~~~~~~
.. autofunction:: interactive
.. autofunction:: ion
.. autofunction:: ioff
.. autofunction:: figure
.. autofunction:: gcf
.. autofunction:: gca
.. autofunction:: show
.. autofunction:: subplot
.. autofunction:: close
.. autofunction:: title
.. autofunction:: xlabel
.. autofunction:: ylabel
.. autofunction:: zlabel
.. autofunction:: yreverse
.. autofunction:: grid
.. autofunction:: legend
.. autofunction:: colormap
.. autofunction:: savefig
.. autofunction:: plot
.. autofunction:: plotyy
.. autofunction:: semilogx
.. autofunction:: semilogy
.. autofunction:: loglog
.. autofunction:: errorbar
.. autofunction:: hist
.. autofunction:: imshow
.. autofunction:: pcolor
"""
from __future__ import print_function
import sys
from guidata.qt.QtGui import (QMainWindow, QPrinter, QPainter, QFrame,
QVBoxLayout, QGridLayout, QToolBar, QPixmap,
QImageWriter)
from guidata.qt.QtCore import QRect, Qt, QBuffer, QIODevice
import guidata
from guidata.configtools import get_icon
from guidata.py3compat import is_text_string, to_text_string
# Local imports
from guiqwt.config import _
from guiqwt.plot import PlotManager
from guiqwt.image import ImagePlot, INTERP_NEAREST, INTERP_LINEAR, INTERP_AA
from guiqwt.curve import CurvePlot, PlotItemList
from guiqwt.histogram import ContrastAdjustment
from guiqwt.cross_section import XCrossSection, YCrossSection
from guiqwt.builder import make
_interactive = False
_figures = {}
_current_fig = None
_current_axes = None
class Window(QMainWindow):
def __init__(self, wintitle):
super(Window, self).__init__()
self.default_tool = None
self.plots = []
self.itemlist = PlotItemList(None)
self.contrast = ContrastAdjustment(None)
self.xcsw = XCrossSection(None)
self.ycsw = YCrossSection(None)
self.manager = PlotManager(self)
self.toolbar = QToolBar(_("Tools"), self)
self.manager.add_toolbar(self.toolbar, "default")
self.toolbar.setMovable(True)
self.toolbar.setFloatable(True)
self.addToolBar(Qt.TopToolBarArea, self.toolbar)
frame = QFrame(self)
self.setCentralWidget(frame)
self.layout = QGridLayout()
layout = QVBoxLayout(frame)
frame.setLayout(layout)
layout.addLayout(self.layout)
self.frame = frame
self.setWindowTitle(wintitle)
self.setWindowIcon(get_icon('guiqwt.svg'))
def closeEvent(self, event):
global _figures, _current_fig, _current_axes
figure_title = to_text_string(self.windowTitle())
if _figures.pop(figure_title) == _current_fig:
_current_fig = None
_current_axes = None
self.itemlist.close()
self.contrast.close()
self.xcsw.close()
self.ycsw.close()
event.accept()
def add_plot(self, i, j, plot):
self.layout.addWidget(plot, i, j)
self.manager.add_plot(plot)
self.plots.append(plot)
def replot(self):
for plot in self.plots:
plot.replot()
item = plot.get_default_item()
if item is not None:
plot.set_active_item(item)
item.unselect()
def add_panels(self, images=False):
self.manager.add_panel(self.itemlist)
if images:
for panel in (self.ycsw, self.xcsw, self.contrast):
panel.hide()
self.manager.add_panel(panel)
def register_tools(self, images=False):
if images:
self.manager.register_all_image_tools()
else:
self.manager.register_all_curve_tools()
def display(self):
self.show()
self.replot()
self.manager.get_default_tool().activate()
self.manager.update_tools_status()
class Figure(object):
def __init__(self, title):
self.axes = {}
self.title = title
self.win = None
self.app = None
def get_axes(self, i, j):
if (i, j) in self.axes:
return self.axes[(i, j)]
ax = Axes()
self.axes[(i, j)] = ax
return ax
def build_window(self):
self.app = guidata.qapplication()
self.win = Window(wintitle=self.title)
images = False
for (i, j), ax in list(self.axes.items()):
ax.setup_window(i, j, self.win)
if ax.images:
images = True
self.win.add_panels(images=images)
self.win.register_tools(images=images)
def show(self):
if not self.win:
self.build_window()
self.win.display()
def save(self, fname, format, draft):
if is_text_string(fname):
if format == "pdf":
self.app = guidata.qapplication()
if draft:
mode = QPrinter.ScreenResolution
else:
mode = QPrinter.HighResolution
printer = QPrinter(mode)
printer.setOutputFormat(QPrinter.PdfFormat)
printer.setOrientation(QPrinter.Landscape)
printer.setOutputFileName(fname)
printer.setCreator('guiqwt.pyplot')
self.print_(printer)
else:
if self.win is None:
self.show()
pixmap = QPixmap.grabWidget(self.win.centralWidget())
pixmap.save(fname, format.upper())
else:
# Buffer
fd = fname
assert hasattr(fd, 'write'), "object is not file-like as expected"
if self.win is None:
self.show()
pixmap = QPixmap.grabWidget(self.win.centralWidget())
buff = QBuffer()
buff.open(QIODevice.ReadWrite)
pixmap.save(buff, format.upper())
fd.write(buff.data())
buff.close()
fd.seek(0)
def print_(self, device):
if not self.win:
self.build_window()
W = device.width()
H = device.height()
from numpy import array
coords = array(list(self.axes.keys()))
imin = coords[:, 0].min()
imax = coords[:, 0].max()
jmin = coords[:, 1].min()
jmax = coords[:, 1].max()
w = W/(jmax-jmin+1)
h = H/(imax-imin+1)
paint = QPainter(device)
for (i, j), ax in list(self.axes.items()):
oy = (i-imin)*h
ox = (j-jmin)*w
ax.widget.print_(paint, QRect(ox, oy, w, h))
def do_mainloop(mainloop):
global _current_fig
if not _current_fig:
print("Warning: must create a figure before showing it", file=sys.stderr)
elif mainloop:
app = guidata.qapplication()
app.exec_()
class Axes(object):
def __init__(self):
self.plots = []
self.images = []
self.last = None
self.legend_position = None
self.grid = False
self.xlabel = ("", "")
self.ylabel = ("", "")
self.xcolor = ("black", "black") # axis label colors
self.ycolor = ("black", "black") # axis label colors
self.zlabel = None
self.yreverse = False
self.colormap = "jet"
self.xscale = 'lin'
self.yscale = 'lin'
self.xlimits = None
self.ylimits = None
self.widget = None
self.main_widget = None
def add_legend(self, position):
self.legend_position = position
def set_grid(self, grid):
self.grid = grid
def set_xlim(self, xmin, xmax):
self.xlimits = xmin, xmax
self._update_plotwidget()
def set_ylim(self, ymin, ymax):
self.ylimits = ymin, ymax
self._update_plotwidget()
def add_plot(self, item):
self.plots.append(item)
self.last = item
def add_image(self, item):
self.images.append(item)
self.last = item
def setup_window(self, i, j, win):
if self.images:
plot = self.setup_image(i, j, win)
else:
plot = self.setup_plot(i, j, win)
self.widget = plot
plot.do_autoscale()
self._update_plotwidget()
def _update_plotwidget(self):
p = self.main_widget
if p is None:
return
if self.grid:
p.gridparam.maj_xenabled = True
p.gridparam.maj_yenabled = True
p.gridparam.update_grid(p)
p.set_axis_color('bottom', self.xcolor[0])
p.set_axis_color('top', self.xcolor[1])
p.set_axis_color('left', self.ycolor[0])
p.set_axis_color('right', self.ycolor[1])
if self.xlimits is not None:
p.set_axis_limits('bottom', *self.xlimits)
if self.ylimits is not None:
p.set_axis_limits('left', *self.ylimits)
def setup_image(self, i, j, win):
p = ImagePlot(win, xlabel=self.xlabel, ylabel=self.ylabel,
zlabel=self.zlabel, yreverse=self.yreverse)
self.main_widget = p
win.add_plot(i, j, p)
for item in self.images+self.plots:
if item in self.images:
item.set_color_map(self.colormap)
p.add_item(item)
if self.legend_position is not None:
p.add_item(make.legend(self.legend_position))
return p
def setup_plot(self, i, j, win):
p = CurvePlot(win, xlabel=self.xlabel, ylabel=self.ylabel)
self.main_widget = p
win.add_plot(i, j, p)
for item in self.plots:
p.add_item(item)
p.enable_used_axes()
active_item = p.get_active_item(force=True)
p.set_scales(self.xscale, self.yscale)
active_item.unselect()
if self.legend_position is not None:
p.add_item(make.legend(self.legend_position))
return p
def _make_figure_title(N=None):
global _figures
if N is None:
N = len(_figures)+1
if is_text_string(N):
return N
else:
return "Figure %d" % N
def figure(N=None):
"""Create a new figure"""
global _figures, _current_fig, _current_axes
title = _make_figure_title(N)
if title in _figures:
f = _figures[title]
else:
f = Figure(title)
_figures[title] = f
_current_fig = f
_current_axes = None
return f
def gcf():
"""Get current figure"""
global _current_fig
if _current_fig:
return _current_fig
else:
return figure()
def gca():
"""Get current axes"""
global _current_axes
if not _current_axes:
axes = gcf().get_axes(1, 1)
_current_axes = axes
return _current_axes
def show(mainloop=True):
"""
Show all figures and enter Qt event loop
This should be the last line of your script
"""
global _figures, _interactive
for fig in list(_figures.values()):
fig.show()
if not _interactive:
do_mainloop(mainloop)
def _show_if_interactive():
global _interactive
if _interactive:
show()
def subplot(n, m, k):
"""
Create a subplot command
Example:
import numpy as np
x = np.linspace(-5, 5, 1000)
figure(1)
subplot(2, 1, 1)
plot(x, np.sin(x), "r+")
subplot(2, 1, 2)
plot(x, np.cos(x), "g-")
show()
"""
global _current_axes
lig = (k-1)/m
col = (k-1)%m
fig = gcf()
axe = fig.get_axes(lig, col)
_current_axes = axe
return axe
def plot(*args, **kwargs):
"""
Plot curves
Example:
import numpy as np
x = np.linspace(-5, 5, 1000)
plot(x, np.sin(x), "r+")
plot(x, np.cos(x), "g-")
show()
"""
axe = gca()
curves = make.mcurve(*args, **kwargs)
if not isinstance(curves, list):
curves = [curves]
for curve in curves:
axe.add_plot(curve)
_show_if_interactive()
return curves
def plotyy(x1, y1, x2, y2):
"""
Plot curves with two different y axes
Example:
import numpy as np
x = np.linspace(-5, 5, 1000)
plotyy(x, np.sin(x), x, np.cos(x))
ylabel("sinus", "cosinus")
show()
"""
axe = gca()
curve1 = make.mcurve(x1, y1, yaxis='left')
curve2 = make.mcurve(x2, y2, yaxis='right')
axe.ycolor = (curve1.curveparam.line.color, curve2.curveparam.line.color)
axe.add_plot(curve1)
axe.add_plot(curve2)
_show_if_interactive()
return [curve1, curve2]
def hist(data, bins=None, logscale=None, title=None, color=None):
"""
Plot 1-D histogram
Example:
from numpy.random import normal
data = normal(0, 1, (2000, ))
hist(data)
show()
"""
axe = gca()
curve = make.histogram(data, bins=bins, logscale=logscale,
title=title, color=color, yaxis='left')
axe.add_plot(curve)
_show_if_interactive()
return [curve]
def semilogx(*args, **kwargs):
"""
Plot curves with logarithmic x-axis scale
Example:
import numpy as np
x = np.linspace(-5, 5, 1000)
semilogx(x, np.sin(12*x), "g-")
show()
"""
axe = gca()
axe.xscale = 'log'
curve = make.mcurve(*args, **kwargs)
axe.add_plot(curve)
_show_if_interactive()
return [curve]
def semilogy(*args, **kwargs):
"""
Plot curves with logarithmic y-axis scale
Example:
import numpy as np
x = np.linspace(-5, 5, 1000)
semilogy(x, np.sin(12*x), "g-")
show()
"""
axe = gca()
axe.yscale = 'log'
curve = make.mcurve(*args, **kwargs)
axe.add_plot(curve)
_show_if_interactive()
return [curve]
def loglog(*args, **kwargs):
"""
Plot curves with logarithmic x-axis and y-axis scales
Example:
import numpy as np
x = np.linspace(-5, 5, 1000)
loglog(x, np.sin(12*x), "g-")
show()
"""
axe = gca()
axe.xscale = 'log'
axe.yscale = 'log'
curve = make.mcurve(*args, **kwargs)
axe.add_plot(curve)
_show_if_interactive()
return [curve]
def errorbar(*args, **kwargs):
"""
Plot curves with error bars
Example:
import numpy as np
x = np.linspace(-5, 5, 1000)
errorbar(x, -1+x**2/20+.2*np.random.rand(len(x)), x/20)
show()
"""
axe = gca()
curve = make.merror(*args, **kwargs)
axe.add_plot(curve)
_show_if_interactive()
return [curve]
def imread(fname, to_grayscale=False):
"""Read data from *fname*"""
from guiqwt import io
return io.imread(fname, to_grayscale=to_grayscale)
def imshow(data, interpolation=None, mask=None):
"""
Display the image in *data* to current axes
interpolation: 'nearest', 'linear' (default), 'antialiasing'
Example:
import numpy as np
x = np.linspace(-5, 5, 1000)
img = np.fromfunction(lambda x, y:
np.sin((x/200.)*(y/200.)**2), (1000, 1000))
gray()
imshow(img)
show()
"""
axe = gca()
import numpy as np
if isinstance(data, np.ma.MaskedArray) and mask is None:
mask = data.mask
data = data.data
if mask is None:
img = make.image(data)
else:
img = make.maskedimage(data, mask, show_mask=True)
if interpolation is not None:
interp_dict = {'nearest': INTERP_NEAREST,
'linear': INTERP_LINEAR,
'antialiasing': INTERP_AA}
assert interpolation in interp_dict, "invalid interpolation option"
img.set_interpolation(interp_dict[interpolation], size=5)
axe.add_image(img)
axe.yreverse = True
_show_if_interactive()
return [img]
def pcolor(*args):
"""
Create a pseudocolor plot of a 2-D array
Example:
import numpy as np
r = np.linspace(1., 16, 100)
th = np.linspace(0., np.pi, 100)
R, TH = np.meshgrid(r, th)
X = R*np.cos(TH)
Y = R*np.sin(TH)
Z = 4*TH+R
pcolor(X, Y, Z)
show()
"""
axe = gca()
img = make.pcolor(*args)
axe.add_image(img)
axe.yreverse = len(args) == 1
_show_if_interactive()
return [img]
def interactive(state):
"""Toggle interactive mode"""
global _interactive
_interactive = state
def ion():
"""Turn interactive mode on"""
interactive(True)
def ioff():
"""Turn interactive mode off"""
interactive(False)
#TODO: The following functions (title, xlabel, ...) should update an already
# shown figure to be compatible with interactive mode -- for now it just
# works if these functions are called before showing the figure
def title(text):
"""Set current figure title"""
global _figures
fig = gcf()
_figures.pop(fig.title)
fig.title = text
_figures[text] = fig
def xlabel(bottom="", top=""):
"""Set current x-axis label"""
assert is_text_string(bottom) and is_text_string(top)
axe = gca()
axe.xlabel = (bottom, top)
def ylabel(left="", right=""):
"""Set current y-axis label"""
assert is_text_string(left) and is_text_string(right)
axe = gca()
axe.ylabel = (left, right)
def zlabel(label):
"""Set current z-axis label"""
assert is_text_string(label)
axe = gca()
axe.zlabel = label
def yreverse(reverse):
"""
Set y-axis direction of increasing values
reverse = False (default)
y-axis values increase from bottom to top
reverse = True
y-axis values increase from top to bottom
"""
assert isinstance(reverse, bool)
axe = gca()
axe.yreverse = reverse
def grid(act):
"""Toggle grid visibility"""
axe = gca()
axe.set_grid(act)
def legend(pos="TR"):
"""Add legend to current axes (pos='TR', 'TL', 'BR', ...)"""
axe = gca()
axe.add_legend(pos)
def colormap(name):
"""Set color map to *name*"""
axe = gca()
axe.colormap = name
def _add_colormaps(glbs):
from guiqwt.colormap import get_colormap_list
for cmap_name in get_colormap_list():
glbs[cmap_name] = lambda name=cmap_name: colormap(name)
glbs[cmap_name].__doc__ = "Set color map to '%s'" % cmap_name
_add_colormaps(globals())
def close(N=None, all=False):
"""Close figure"""
global _figures, _current_fig, _current_axes
if all:
_figures = {}
_current_fig = None
_current_axes = None
return
if N is None:
fig = gcf()
else:
fig = figure(N)
fig.close()
def savefig(fname, format=None, draft=False):
"""
Save figure
Currently supports PDF and PNG formats only
"""
if not is_text_string(fname) and format is None:
# Buffer/fd
format = 'png'
if format is None:
format = fname.rsplit(".", 1)[-1].lower()
fmts = [str(fmt).lower()
for fmt in QImageWriter.supportedImageFormats()]
assert format in fmts, _("Function 'savefig' currently supports the "
"following formats:\n%s"
) % ','.join(fmts)
else:
format = format.lower()
fig = gcf()
fig.save(fname, format, draft)
guiqwt-2.3.1/guiqwt/styles.py 0000666 0000000 0000000 00000173340 12146635136 014773 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2010 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
# pylint: disable=C0103
"""
guiqwt.styles
-------------
The `styles` module provides set of parameters (DataSet classes) to
configure `plot items` and `plot tools`.
.. seealso::
Module :py:mod:`guiqwt.plot`
Module providing ready-to-use curve and image plotting widgets and
dialog boxes
Module :py:mod:`guiqwt.curve`
Module providing curve-related plot items and plotting widgets
Module :py:mod:`guiqwt.image`
Module providing image-related plot items and plotting widgets
Module :py:mod:`guiqwt.tools`
Module providing the `plot tools`
Reference
~~~~~~~~~
.. autoclass:: CurveParam
:members:
:inherited-members:
.. autoclass:: ErrorBarParam
:members:
:inherited-members:
.. autoclass:: GridParam
:members:
:inherited-members:
.. autoclass:: ImageParam
:members:
:inherited-members:
.. autoclass:: TrImageParam
:members:
:inherited-members:
.. autoclass:: ImageFilterParam
:members:
:inherited-members:
.. autoclass:: HistogramParam
:members:
:inherited-members:
.. autoclass:: Histogram2DParam
:members:
:inherited-members:
.. autoclass:: AxesParam
:members:
:inherited-members:
.. autoclass:: ImageAxesParam
:members:
:inherited-members:
.. autoclass:: LabelParam
:members:
:inherited-members:
.. autoclass:: LegendParam
:members:
:inherited-members:
.. autoclass:: ShapeParam
:members:
:inherited-members:
.. autoclass:: AnnotationParam
:members:
:inherited-members:
.. autoclass:: AxesShapeParam
:members:
:inherited-members:
.. autoclass:: RangeShapeParam
:members:
:inherited-members:
.. autoclass:: MarkerParam
:members:
:inherited-members:
.. autoclass:: FontParam
:members:
:inherited-members:
.. autoclass:: SymbolParam
:members:
:inherited-members:
.. autoclass:: LineStyleParam
:members:
:inherited-members:
.. autoclass:: BrushStyleParam
:members:
:inherited-members:
.. autoclass:: TextStyleParam
:members:
:inherited-members:
"""
import numpy as np
from guidata.qt.QtGui import (QPen, QBrush, QColor, QFont, QFontDialog,
QTransform)
from guidata.qt.QtCore import Qt, QSize, QPointF
from guidata.dataset.datatypes import (DataSet, ObjectItem, BeginGroup,
EndGroup, Obj, DataSetGroup,
BeginTabGroup, EndTabGroup,
GetAttrProp, NotProp)
from guidata.dataset.dataitems import (ChoiceItem, BoolItem, FloatItem, IntItem,
ImageChoiceItem, ColorItem, StringItem,
ButtonItem, FloatArrayItem, TextItem)
from guidata.dataset.qtwidgets import DataSetEditLayout
from guidata.dataset.qtitemwidgets import DataSetWidget
from guidata.utils import update_dataset
from guidata.py3compat import to_text_string
# Local imports
from guiqwt.transitional import QwtPlot, QwtPlotCurve, QwtSymbol, QwtPlotMarker
from guiqwt.config import _
from guiqwt.colormap import get_colormap_list, build_icon_from_cmap_name
from guiqwt.signals import SIG_ITEMS_CHANGED
class ItemParameters(object):
"""Class handling QwtPlotItem-like parameters"""
MULTISEL_DATASETS = []
# Customizing tab display order:
ENDING_PARAMETERS = ("CurveParam", "ErrorBarParam",
"ShapeParam", "LabelParam", "LegendParam",
"GridParam", "AxesParam")
def __init__(self, multiselection=False):
self.multiselection = multiselection
self.paramdict = {}
self.items = set()
@classmethod
def register_multiselection(cls, klass, klass_ms):
"""Register a DataSet couple: (DataSet, DataSet_for_MultiSelection)"""
# Inserting element backwards because classes have to be registered
# from children to parent (see 'add' method to fully understand why)
cls.MULTISEL_DATASETS.insert(0, (klass, klass_ms))
def __add(self, key, item, param):
self.paramdict[key] = param
self.items.add(item)
def add(self, key, item, param):
if self.multiselection:
for klass, klass_ms in self.MULTISEL_DATASETS:
if isinstance(param, klass):
title = param.get_title()
if key in self.paramdict and not title.endswith('s'):
title += 's'
param_ms = klass_ms(title=title,
comment=param.get_comment(),
icon=param.get_icon())
update_dataset(param_ms, param)
self.__add(key, item, param_ms)
return
self.__add(key, item, param)
def get(self, key):
from copy import deepcopy
return deepcopy(self.paramdict.get(key))
def update(self, plot):
#FIXME: without the following workaround, ImagePlot object aspect ratio
# is changed when pressing button "Apply"
# (see also guiqwt.image.ImagePlot.edit_axis_parameters)
from guiqwt.image import ImagePlot
if isinstance(plot, ImagePlot):
ratio = plot.get_current_aspect_ratio()
for item in self.items:
item.set_item_parameters(self)
plot.replot()
if isinstance(plot, ImagePlot):
plot.set_aspect_ratio(ratio=ratio)
plot.replot()
plot.emit(SIG_ITEMS_CHANGED, plot)
def edit(self, plot, title, icon):
paramdict = self.paramdict.copy()
ending_parameters = []
for key in self.ENDING_PARAMETERS:
if key in paramdict:
ending_parameters.append(paramdict.pop(key))
parameters = list(paramdict.values())+ending_parameters
dset = DataSetGroup(parameters, title=title.rstrip('.'), icon=icon)
if dset.edit(parent=plot, apply=lambda dset: self.update(plot)):
self.update(plot)
LINESTYLES = {
"-": "SolidLine",
"--": "DashLine",
":": "DotLine",
"-.": "DashDotLine",
}
COLORS = {
"r": "red",
"g": "green",
"b": "blue",
"c": "cyan",
"m": "magenta",
"y": "yellow",
"k": "black",
"w": "white",
"G": "gray",
}
MARKERS = {
"+": QwtSymbol.Cross,
"o": QwtSymbol.Ellipse,
"*": QwtSymbol.Star1,
".": QwtSymbol(QwtSymbol.Ellipse, QBrush(Qt.black),
QPen(Qt.black), QSize(3, 3)),
"x": QwtSymbol.XCross,
"s": QwtSymbol.Rect,
"d": QwtSymbol.Diamond,
"^": QwtSymbol.UTriangle,
"v": QwtSymbol.DTriangle,
">": QwtSymbol.RTriangle,
"<": QwtSymbol.LTriangle,
"h": QwtSymbol.Star2,
}
MARKERSTYLES = {
None: "NoLine",
"-": "HLine",
"|": "VLine",
"+": "Cross",
}
def style_generator(color_keys="bgrcmykG"):
"""Cycling through curve styles"""
while True:
for linestyle in sorted(LINESTYLES.keys()):
for color in color_keys:
yield color+linestyle
def update_style_attr(style, param):
"""Parse a MATLAB-like style string and
update the color, linestyle, marker attributes of the param
object
"""
for marker in list(MARKERS.keys()):
if marker in style:
param.symbol.update_param(MARKERS[marker])
break
else:
param.symbol.update_param(QwtSymbol.NoSymbol)
for linestyle in list(LINESTYLES.keys()):
if linestyle in style:
param.line.style = LINESTYLES[linestyle]
break
else:
param.line.style = "NoPen"
for color in list(COLORS.keys()):
if color in style:
param.line.color = COLORS[color]
param.symbol.facecolor = COLORS[color]
param.symbol.edgecolor = COLORS[color]
break
def build_reverse_map(lst, obj):
dict = {}
for idx, _name, _icon in lst:
val = getattr(obj, idx)
dict[val] = idx
return dict
LINESTYLE_CHOICES = [("SolidLine", _("Solid line"), "solid.png"),
("DashLine", _("Dashed line"), "dash.png"),
("DotLine", _("Dotted line"), "dot.png"),
("DashDotLine", _("Dash-dot line"), "dashdot.png"),
("DashDotDotLine", _("Dash-dot-dot line"), "dashdotdot.png"),
("NoPen", _("No line"), "none.png"),
]
MARKER_CHOICES = [("Cross", _("Cross"), "cross.png"),
("Ellipse", _("Ellipse"), "ellipse.png"),
("Star1", _("Star"), "star.png"),
("XCross", _("X-Cross"), "xcross.png"),
("Rect", _("Square"), "square.png"),
("Diamond", _("Diamond"), "diamond.png"),
("UTriangle", _("Triangle"), "triangle_u.png"),
("DTriangle", _("Triangle"), "triangle_d.png"),
("RTriangle", _("Triangle"), "triangle_r.png"),
("LTriangle", _("Triangle"), "triangle_l.png"),
("Star2", _("Hexagon"), "hexagon.png"),
("NoSymbol", _("No symbol"), "none.png"),
]
CURVESTYLE_CHOICES = [("Lines", _("Lines"), "lines.png"),
("Sticks", _("Sticks"), "sticks.png"),
("Steps", _("Steps"), "steps.png"),
("Dots", _("Dots"), "dots.png"),
("NoCurve", _("No curve"), "none.png")
]
CURVETYPE_CHOICES = [("Yfx", _("Draws y as a function of x"), "yfx.png"),
("Xfy", _("Draws x as a function of y"), "xfy.png")]
BRUSHSTYLE_CHOICES = [
("NoBrush", _("No brush pattern"), "nobrush.png"),
("SolidPattern", _("Uniform color"), "solidpattern.png"),
("Dense1Pattern", _("Extremely dense brush pattern"), "dense1pattern.png"),
("Dense2Pattern", _("Very dense brush pattern"), "dense2pattern.png"),
("Dense3Pattern", _("Somewhat dense brush pattern"), "dense3pattern.png"),
("Dense4Pattern", _("Half dense brush pattern"), "dense4pattern.png"),
("Dense5Pattern", _("Somewhat sparse brush pattern"), "dense5pattern.png"),
("Dense6Pattern", _("Very sparse brush pattern"), "dense6pattern.png"),
("Dense7Pattern", _("Extremely sparse brush pattern"), "dense7pattern.png"),
("HorPattern", _("Horizontal lines"), "horpattern.png"),
("VerPattern", _("Vertical lines"), "verpattern.png"),
("CrossPattern", _("Crossing horizontal and vertical lines"),
"crosspattern.png"),
("BDiagPattern", _("Backward diagonal lines"), "bdiagpattern.png"),
("FDiagPattern", _("Forward diagonal lines"), "fdiagpattern.png"),
("DiagCrossPattern", _("Crossing diagonal lines"), "diagcrosspattern.png"),
# ("LinearGradientPattern", _("Linear gradient (set using a dedicated QBrush constructor)"), "none.png"),
# ("ConicalGradientPattern", _("Conical gradient (set using a dedicated QBrush constructor)"), "none.png"),
# ("RadialGradientPattern", _("Radial gradient (set using a dedicated QBrush constructor)"), "none.png"),
# ("TexturePattern", _("Custom pattern (see QBrush::setTexture())"), "none.png"),
]
MARKERSTYLE_CHOICES = [("NoLine", _("None"), "none.png"),
("HLine", _("Horizontal"), "horiz_marker.png"),
("VLine", _("Vertical"), "vert_marker.png"),
("Cross", _("Cross"), "cross_marker.png"),
]
MARKER_NAME = build_reverse_map(MARKER_CHOICES, QwtSymbol)
CURVESTYLE_NAME = build_reverse_map(CURVESTYLE_CHOICES, QwtPlotCurve)
CURVETYPE_NAME = build_reverse_map(CURVETYPE_CHOICES, QwtPlotCurve)
LINESTYLE_NAME = build_reverse_map(LINESTYLE_CHOICES, Qt)
BRUSHSTYLE_NAME = build_reverse_map(BRUSHSTYLE_CHOICES, Qt)
MARKERSTYLE_NAME = build_reverse_map(MARKERSTYLE_CHOICES, QwtPlotMarker)
# ===================================================
# Common font parameters
# ===================================================
def _font_selection(param, item, value, parent):
font = param.build_font()
result, valid = QFontDialog.getFont(font, parent)
if valid:
param.update_param( result )
class FontParam(DataSet):
family = StringItem(_("Family"), default="default")
_choose = ButtonItem(_("Choose font"), _font_selection,
default=None).set_pos(col=1)
size = IntItem(_("Size in point"), default=12)
bold = BoolItem(_("Bold"), default=False).set_pos(col=1)
italic = BoolItem(_("Italic"), default=False).set_pos(col=2)
def update_param(self, font):
self.family = str(font.family())
self.size = font.pointSize()
self.bold = bool(font.bold())
self.italic = bool(font.italic())
def build_font(self):
font = QFont(self.family)
font.setPointSize( self.size )
font.setBold( self.bold )
font.setItalic( self.italic )
return font
class FontItemWidget(DataSetWidget):
klass = FontParam
class FontItem(ObjectItem):
"""Item holding a LineStyleParam"""
klass = FontParam
DataSetEditLayout.register(FontItem, FontItemWidget)
# ===================================================
# Common Qwt symbol parameters
# ===================================================
class SymbolParam(DataSet):
marker = ImageChoiceItem(_("Style"), MARKER_CHOICES,
default="NoSymbol")
size = IntItem(_("Size"), default=9)
edgecolor = ColorItem(_("Border"), default="gray")
facecolor = ColorItem(_("Background color"), default="yellow")
alpha = FloatItem(_("Background alpha"), default=1., min=0, max=1)
def update_param(self, symb):
if not isinstance(symb, QwtSymbol):
# check if this is still needed
#raise RuntimeError
assert isinstance(symb, QwtSymbol.Style)
self.marker = MARKER_NAME[symb]
return
self.marker = MARKER_NAME[symb.style()]
self.size = symb.size().width()
self.edgecolor = str(symb.pen().color().name())
self.facecolor = str(symb.brush().color().name())
def build_symbol(self):
marker_type = getattr(QwtSymbol, self.marker)
color = QColor(self.facecolor)
color.setAlphaF(self.alpha)
marker = QwtSymbol(marker_type, QBrush(color),
QPen(QColor(self.edgecolor)),
QSize(self.size, self.size))
return marker
def update_symbol(self, obj):
obj.setSymbol(self.build_symbol())
class SymbolItemWidget(DataSetWidget):
klass = SymbolParam
class SymbolItem(ObjectItem):
"""Item holding a SymbolParam"""
klass = SymbolParam
DataSetEditLayout.register(SymbolItem, SymbolItemWidget)
# ===================================================
# Common line style parameters
# ===================================================
class LineStyleParam(DataSet):
style = ImageChoiceItem(_("Style"), LINESTYLE_CHOICES, default="SolidLine")
color = ColorItem(_("Color"), default="black")
width = FloatItem(_("Width"), default=1., min=0)
def update_param(self, pen):
self.width = pen.widthF()
self.color = str(pen.color().name())
self.style = LINESTYLE_NAME[pen.style()]
def build_pen(self):
linecolor = QColor(self.color)
style = getattr(Qt, self.style)
pen = QPen(linecolor, self.width, style)
return pen
def set_style_from_matlab(self, linestyle):
"""Eventually convert MATLAB-like linestyle into Qt linestyle"""
linestyle = LINESTYLES.get(linestyle, linestyle) # MATLAB-style
if linestyle == '': # MATLAB-style
linestyle = 'NoPen'
self.style = linestyle
class LineStyleItemWidget(DataSetWidget):
klass = LineStyleParam
class LineStyleItem(ObjectItem):
"""Item holding a LineStyleParam"""
klass = LineStyleParam
DataSetEditLayout.register(LineStyleItem, LineStyleItemWidget)
# ===================================================
# Common brush style parameters
# ===================================================
class BrushStyleParam(DataSet):
style = ImageChoiceItem(_("Style"), BRUSHSTYLE_CHOICES,
default="SolidPattern")
color = ColorItem(_("Color"), default="black")
alpha = FloatItem(_("Alpha"), default=1.0)
angle = FloatItem(_("Angle"), default=0., min=0)
sx = FloatItem(_("sx"), default=1., min=0)
sy = FloatItem(_("sy"), default=1., min=0)
def update_param(self, brush):
from math import pi, sqrt, atan2
tr = brush.transform()
pt = tr.map( QPointF(1.0, 0.0) )
self.sx = sqrt(pt.x()**2+pt.y()**2)
self.angle = 180*atan2(pt.y(), pt.x())/pi
pt = tr.map( QPointF(0.0, 1.0) )
self.sy = sqrt(pt.x()**2+pt.y()**2)
col = brush.color()
self.color = str(col.name())
self.alpha = col.alphaF()
self.style = BRUSHSTYLE_NAME[brush.style()]
def build_brush(self):
color = QColor(self.color)
color.setAlphaF(self.alpha)
brush = QBrush(color, getattr(Qt, self.style))
tr = QTransform()
tr = tr.scale(self.sx, self.sy)
tr = tr.rotate(self.angle)
brush.setTransform(tr)
return brush
class BrushStyleItemWidget(DataSetWidget):
klass = BrushStyleParam
class BrushStyleItem(ObjectItem):
"""Item holding a LineStyleParam"""
klass = BrushStyleParam
DataSetEditLayout.register(BrushStyleItem, BrushStyleItemWidget)
# ===================================================
# QwtText parameters
# ===================================================
class TextStyleParam(DataSet):
font = FontItem(_("Font"))
textcolor = ColorItem(_("Text color"), default="blue")
background_color = ColorItem(_("Background color"), default="white")
background_alpha = FloatItem(_("Background alpha"),
default=0.5, min=0, max=1)
def update_param(self, obj):
"""obj: QwtText instance"""
self.font.update_param( obj.font() )
self.textcolor = obj.color().name()
color = obj.backgroundBrush().color()
self.background_color = color.name()
self.background_alpha = color.alphaF()
def update_text(self, obj):
"""obj: QwtText instance"""
obj.setColor( QColor(self.textcolor) )
color = QColor(self.background_color)
color.setAlphaF(self.background_alpha)
obj.setBackgroundBrush( QBrush(color) )
font = self.font.build_font()
obj.setFont(font)
class TextStyleItemWidget(DataSetWidget):
klass = TextStyleParam
class TextStyleItem(ObjectItem):
"""Item holding a TextStyleParam"""
klass = TextStyleParam
DataSetEditLayout.register(TextStyleItem, TextStyleItemWidget)
# ===================================================
# Grid parameters
# ===================================================
class GridParam(DataSet):
background = ColorItem(_("Background color"), default="white")
maj = BeginGroup(_("Major grid") )
maj_xenabled = BoolItem(_("X Axis"), default=True)
maj_yenabled = BoolItem(_("Y Axis"), default=True).set_pos(col=1)
maj_line = LineStyleItem(_("Line"))
_maj = EndGroup("end group")
min = BeginGroup(_("Minor grid"))
min_xenabled = BoolItem(_("X Axis"), default=False)
min_yenabled = BoolItem(_("Y Axis"), default=False).set_pos(col=1)
min_line = LineStyleItem(_("Line"))
_min = EndGroup("fin groupe")
def update_param(self, grid):
plot = grid.plot()
if plot is not None:
self.background = str(plot.canvasBackground().name())
self.maj_xenabled = grid.xEnabled()
self.maj_yenabled = grid.yEnabled()
self.maj_line.update_param( grid.majPen() )
self.min_xenabled = grid.xMinEnabled()
self.min_yenabled = grid.yMinEnabled()
self.min_line.update_param( grid.minPen() )
def update_grid(self, grid):
plot = grid.plot()
if plot is not None:
plot.setCanvasBackground( QColor(self.background) )
grid.enableX(self.maj_xenabled)
grid.enableY(self.maj_yenabled)
grid.setPen( self.maj_line.build_pen() )
grid.enableXMin(self.min_xenabled)
grid.enableYMin(self.min_yenabled)
grid.setMinPen( self.min_line.build_pen() )
grid.setTitle(self.get_title())
# ===================================================
# Axes style parameters
# ===================================================
class AxeStyleParam(DataSet):
title = StringItem(_("Title"), default="")
unit = StringItem(_("Unit"), default="")
color = ColorItem(_("Color"), default="black").set_pos(col=1)
title_font = FontItem(_("Title font"))
ticks_font = FontItem(_("Values font"))
# ===================================================
# Axes parameters
# ===================================================
class AxisParam(DataSet):
scale = ChoiceItem(_("Scale"),
[("lin", _("linear")), ("log", _("logarithmic"))],
default="lin")
vmin = FloatItem("Min", help=_("Lower axis limit"))
vmax = FloatItem("Max", help=_("Upper axis limit"))
def update_param(self, plot, axis_id):
self.scale = plot.get_axis_scale(axis_id)
axis = plot.axisScaleDiv(axis_id)
self.vmin = axis.lowerBound()
self.vmax = axis.upperBound()
def update_axis(self, plot, axis_id):
plot.enableAxis(axis_id, True)
plot.set_axis_scale(axis_id, self.scale, autoscale=False)
plot.setAxisScale(axis_id, self.vmin, self.vmax)
plot.disable_unused_axes()
class AxisItemWidget(DataSetWidget):
klass = AxisParam
class AxisItem(ObjectItem):
klass = AxisParam
DataSetEditLayout.register(AxisItem, AxisItemWidget)
class AxesParam(DataSet):
xaxis_id = ChoiceItem(_("X-axis position"),
[(QwtPlot.xBottom, _("bottom")),
(QwtPlot.xTop, _("top"))],
default=QwtPlot.xBottom)
xaxis = AxisItem(_("X Axis"))
yaxis_id = ChoiceItem(_("Y-axis position"),
[(QwtPlot.yLeft, _("left")),
(QwtPlot.yRight, _("right"))],
default=QwtPlot.yLeft)
yaxis = AxisItem(_("Y Axis"))
def update_param(self, item):
plot = item.plot()
self.xaxis_id = item.xAxis()
self.xaxis.update_param(plot, self.xaxis_id)
self.yaxis_id = item.yAxis()
self.yaxis.update_param(plot, self.yaxis_id)
def update_axes(self, item):
plot = item.plot()
plot.grid.setAxis(self.xaxis_id, self.yaxis_id)
item.setXAxis(self.xaxis_id)
self.xaxis.update_axis(plot, self.xaxis_id)
item.setYAxis(self.yaxis_id)
self.yaxis.update_axis(plot, self.yaxis_id)
class ImageAxesParam(DataSet):
xparams = BeginGroup(_("X Axis") )
xmin = FloatItem("x|min", help=_("Lower x-axis limit"))
xmax = FloatItem("x|max", help=_("Upper x-axis limit"))
_xparams = EndGroup("end X")
yparams = BeginGroup(_("Y Axis") )
ymin = FloatItem("y|min", help=_("Lower y-axis limit"))
ymax = FloatItem("y|max", help=_("Upper y-axis limit"))
_yparams = EndGroup("end Y")
zparams = BeginGroup(_("Z Axis") )
zmin = FloatItem("z|min", help=_("Lower z-axis limit"))
zmax = FloatItem("z|max", help=_("Upper z-axis limit"))
_zparams = EndGroup("end Z")
def update_param(self, item):
plot = item.plot()
xaxis = plot.axisScaleDiv(item.xAxis())
self.xmin = xaxis.lowerBound()
self.xmax = xaxis.upperBound()
yaxis = plot.axisScaleDiv(item.yAxis())
self.ymin = yaxis.lowerBound()
self.ymax = yaxis.upperBound()
self.zmin, self.zmax = item.min, item.max
def update_axes(self, item):
plot = item.plot()
plot.set_plot_limits(self.xmin, self.xmax, self.ymin, self.ymax)
item.set_lut_range([self.zmin, self.zmax])
plot.update_colormap_axis(item)
# ===================================================
# Label parameters
# ===================================================
class LabelParam(DataSet):
_multiselection = False
_legend = False
_no_contents = True
label = StringItem(_("Title"), default="") \
.set_prop("display", hide=GetAttrProp("_multiselection"))
_styles = BeginTabGroup("Styles")
#-------------------------------------------------------------- Contents tab
___cont = BeginGroup(_("Contents")).set_prop("display", icon="label.png",
hide=GetAttrProp("_no_contents"))
contents = TextItem("").set_prop("display",
hide=GetAttrProp("_no_contents"))
___econt = EndGroup(_("Contents")).set_prop("display",
hide=GetAttrProp("_no_contents"))
#---------------------------------------------------------------- Symbol tab
symbol = SymbolItem(_("Symbol")).set_prop("display", icon="diamond.png",
hide=GetAttrProp("_legend"))
#---------------------------------------------------------------- Border tab
border = LineStyleItem(_("Border"), default=Obj(color="#cbcbcb"),
help=_("set width to 0 to disable")
).set_prop("display", icon="dashdot.png")
#------------------------------------------------------------------ Text tab
___text = BeginGroup(_("Text")).set_prop("display", icon="font.png")
font = FontItem(_("Text font"))
color = ColorItem(_("Text color"), default="#000000")
bgcolor = ColorItem(_("Background color"), default="#ffffff")
bgalpha = FloatItem(_("Background transparency"),
min=0.0, max=1.0, default=0.8)
___etext = EndGroup(_("Text"))
#-------------------------------------------------------------- Position tab
___position = BeginGroup(_("Position")).set_prop("display", icon="move.png")
_begin_anchor = BeginGroup(_("Position relative to anchor")) \
.set_prop("display", hide=GetAttrProp("_multiselection"))
anchor = ChoiceItem(_("Corner"),
[("TL", _("Top left") ),
("TR", _("Top right") ),
("BL", _("Bottom left") ),
("BR", _("Bottom right") ),
("L", _("Left") ),
("R", _("Right") ),
("T", _("Top") ),
("B", _("Bottom") ),
("C", _("Center") ),], default="TL",
help=_("Label position relative to anchor point")) \
.set_prop("display",
hide=GetAttrProp("_multiselection"))
xc = IntItem(_("ΔX"), default=5,
help=_("Horizontal offset (pixels) relative to anchor point"))\
.set_prop("display", hide=GetAttrProp("_multiselection"))
yc = IntItem(_("ΔY"), default=5,
help=_("Vertical offset (pixels) relative to anchor point")
).set_pos(col=1).set_prop("display",
hide=GetAttrProp("_multiselection"))
_end_anchor = EndGroup(_("Anchor")) \
.set_prop("display", hide=GetAttrProp("_multiselection"))
_begin_anchorpos = BeginGroup(_("Anchor position")) \
.set_prop("display", hide=GetAttrProp("_multiselection"))
_abspos_prop = GetAttrProp("abspos")
abspos = BoolItem(text=_("Attach to canvas"), label=_("Anchor"),
default=True
).set_prop("display", store=_abspos_prop) \
.set_prop("display", hide=GetAttrProp("_multiselection"))
xg = FloatItem(_("X"), default=0.0,
help=_("X-axis position in canvas coordinates")
).set_prop("display", active=NotProp(_abspos_prop)) \
.set_prop("display", hide=GetAttrProp("_multiselection"))
yg = FloatItem(_("Y"), default=0.0,
help=_("Y-axis position in canvas coordinates")
).set_pos(col=1) \
.set_prop("display", active=NotProp(_abspos_prop)) \
.set_prop("display", hide=GetAttrProp("_multiselection"))
move_anchor = ChoiceItem(_("Interact"),
((True, _("moving object changes anchor position")),
(False, _("moving object changes label position"))),
default=True
).set_prop("display", active=NotProp(_abspos_prop)) \
.set_prop("display",
hide=GetAttrProp("_multiselection"))
absg = ChoiceItem(_("Position"),
[("TL", _("Top left") ),
("TR", _("Top right") ),
("BL", _("Bottom left") ),
("BR", _("Bottom right") ),
("L", _("Left") ),
("R", _("Right") ),
("T", _("Top") ),
("B", _("Bottom") ),
("C", _("Center") ),], default="TL",
help=_("Absolute position on canvas")
).set_prop("display", active=_abspos_prop) \
.set_prop("display",
hide=GetAttrProp("_multiselection"))
_end_anchorpos = EndGroup(_("Anchor position")) \
.set_prop("display", hide=GetAttrProp("_multiselection"))
___eposition = EndGroup(_("Position"))
#----------------------------------------------------------------------- End
_endstyles = EndTabGroup("Styles")
def update_param(self, obj):
# The following is necessary only for shape labels:
# when shape is just created (and not yet moved), we need to update
# these attributes
if self.abspos:
self.absg = obj.G
else:
self.xg, self.yg = obj.G
self.xc, self.yc = obj.C
def update_label(self, obj):
if not self._multiselection:
if self.abspos:
obj.G = self.absg
else:
obj.G = (self.xg, self.yg)
obj.C = self.xc, self.yc
obj.anchor = self.anchor
obj.move_anchor = self.move_anchor
obj.setTitle(self.label)
obj.marker = self.symbol.build_symbol()
obj.border_pen = self.border.build_pen()
obj.set_text_style(self.font.build_font(), self.color)
color = QColor(self.bgcolor)
color.setAlphaF(self.bgalpha)
obj.bg_brush = QBrush(color)
class LabelParam_MS(LabelParam):
_multiselection = True
ItemParameters.register_multiselection(LabelParam, LabelParam_MS)
class LegendParam(LabelParam):
_legend = True
label = StringItem(_("Title"), default="").set_prop("display", hide=True)
def update_label(self, obj):
super(LegendParam, self).update_label(obj)
if not self._multiselection:
obj.setTitle(self.get_title())
class LegendParam_MS(LegendParam):
_multiselection = True
ItemParameters.register_multiselection(LegendParam, LegendParam_MS)
class LabelParamWithContents(LabelParam):
_no_contents = False
def __init__(self, title=None, comment=None, icon=''):
self.plain_text = None
super(LabelParamWithContents, self).__init__(title, comment, icon)
def update_param(self, obj):
super(LabelParamWithContents, self).update_param(obj)
self.contents = self.plain_text = obj.get_plain_text()
def update_label(self, obj):
super(LabelParamWithContents, self).update_label(obj)
if self.plain_text is not None and self.contents != self.plain_text:
text = self.contents.replace('\n', '
')
obj.set_text(text)
class LabelParamWithContents_MS(LabelParamWithContents):
_multiselection = True
ItemParameters.register_multiselection(LabelParamWithContents,
LabelParamWithContents_MS)
# ===================================================
# Curve parameters
# ===================================================
class CurveParam(DataSet):
_multiselection = False
label = StringItem(_("Title"), default="").set_prop("display",
hide=GetAttrProp("_multiselection"))
line = LineStyleItem(_("Line"))
symbol = SymbolItem(_("Symbol"))
shade = FloatItem(_("Shadow"), default=0, min=0, max=1)
fitted = BoolItem(_("Fit curve to data"), _("Fitting"), default=False)
curvestyle = ImageChoiceItem(_("Curve style"), CURVESTYLE_CHOICES,
default="Lines")
curvetype = ImageChoiceItem(_("Curve type"), CURVETYPE_CHOICES,
default="Yfx")
baseline = FloatItem(_("Baseline"), default=0.)
def update_param(self, curve):
self.symbol.update_param(curve.symbol())
self.line.update_param(curve.pen())
self.curvestyle = CURVESTYLE_NAME[curve.style()]
self.curvetype = CURVETYPE_NAME[curve.curveType()]
self.baseline = curve.baseline()
def update_curve(self, curve):
if not self._multiselection:
# Non common parameters
curve.setTitle(self.label)
curve.setPen(self.line.build_pen())
# Brush
linecolor = QColor(self.line.color)
linecolor.setAlphaF(self.shade)
brush = QBrush(linecolor)
if not self.shade:
brush.setStyle(Qt.NoBrush)
curve.setBrush(brush)
# Symbol
self.symbol.update_symbol( curve )
# CurveAttribute
curve.setCurveAttribute(QwtPlotCurve.Fitted, self.fitted)
# Curve style, type and baseline
curve.setStyle(getattr(QwtPlotCurve, self.curvestyle))
curve.setCurveType(getattr(QwtPlotCurve, self.curvetype))
curve.setBaseline(self.baseline)
class CurveParam_MS(CurveParam):
_multiselection = True
ItemParameters.register_multiselection(CurveParam, CurveParam_MS)
# ===================================================
# ErrorBar Curve parameters
# ===================================================
class ErrorBarParam(DataSet):
mode = ChoiceItem(_("Display"), default=0,
choices=[_("error bars with caps (x, y)"),
_("error area (y)")],
help=_("Note: only y-axis error bars are shown in "
"error area mode\n(width and cap parameters "
"will also be ignored)"))
color = ColorItem(_("Color"), default="darkred")
alpha = FloatItem(_("Alpha"), default=.9, min=0, max=1,
help=_("Error bar transparency"))
width = FloatItem(_("Width"), default=1.0, min=1)
cap = IntItem(_("Cap"), default=4, min=0)
ontop = BoolItem(_("set to foreground"), _("Visibility"), default=False)
def update_param(self, curve):
color = curve.errorPen.pen().color()
self.color = str(color.name())
self.alpha = color.alphaF()
self.width = curve.errorPen.widthF()
self.cap = curve.errorCap
self.ontop = curve.errorOnTop
def update_curve(self, curve):
color = QColor(self.color)
color.setAlphaF(self.alpha)
curve.errorPen = QPen(color, self.width)
curve.errorBrush = QBrush(color)
curve.errorCap = self.cap
curve.errorOnTop = self.ontop
# ===================================================
# Image parameters
# ===================================================
def _create_choices():
choices = []
for cmap_name in get_colormap_list():
choices.append((cmap_name, cmap_name, build_icon_from_cmap_name))
return choices
class BaseImageParam(DataSet):
_multiselection = False
label = StringItem(_("Image title"), default=_("Image")) \
.set_prop("display", hide=GetAttrProp("_multiselection"))
alpha_mask = BoolItem(_("Use image level as alpha"), _("Alpha channel"),
default=False)
alpha = FloatItem(_("Global alpha"), default=1.0, min=0, max=1,
help=_("Global alpha value"))
_hide_colormap = False
colormap = ImageChoiceItem(_("Colormap"), _create_choices(), default="jet"
).set_prop("display",
hide=GetAttrProp("_hide_colormap"))
interpolation = ChoiceItem(_("Interpolation"),
[(0, _("None (nearest pixel)")),
(1, _("Linear interpolation")),
(2, _("2x2 antialiasing filter")),
(3, _("3x3 antialiasing filter")),
(5, _("5x5 antialiasing filter"))],
default=0, help=_("Image interpolation type"))
_formats = BeginGroup(_("Statistics string formatting"))
xformat = StringItem(_("X-Axis"), default=r'%.1f')
yformat = StringItem(_("Y-Axis"), default=r'%.1f')
zformat = StringItem(_("Z-Axis"), default=r'%.1f')
_end_formats = EndGroup(_("Statistics string formatting"))
def update_param(self, image):
self.label = to_text_string(image.title().text())
self.colormap = image.get_color_map_name()
interpolation = image.get_interpolation()
mode = interpolation[0]
from guiqwt.image import INTERP_NEAREST, INTERP_LINEAR
if mode == INTERP_NEAREST:
self.interpolation = 0
elif mode == INTERP_LINEAR:
self.interpolation = 1
else:
size = interpolation[1].shape[0]
self.interpolation = size
def update_image(self, image):
image.setTitle(self.label)
image.set_color_map(self.colormap)
size = self.interpolation
from guiqwt.image import INTERP_NEAREST, INTERP_LINEAR, INTERP_AA
if size == 0:
mode = INTERP_NEAREST
elif size == 1:
mode = INTERP_LINEAR
else:
mode = INTERP_AA
image.set_interpolation(mode, size)
class QuadGridParam(DataSet):
_multiselection = False
label = StringItem(_("Image title"), default=_("Image")) \
.set_prop("display", hide=GetAttrProp("_multiselection"))
alpha_mask = BoolItem(_("Use image level as alpha"), _("Alpha channel"),
default=False)
alpha = FloatItem(_("Global alpha"), default=1.0, min=0, max=1,
help=_("Global alpha value"))
_hide_colormap = False
colormap = ImageChoiceItem(_("Colormap"), _create_choices(), default="jet"
).set_prop("display",
hide=GetAttrProp("_hide_colormap"))
interpolation = ChoiceItem(_("Interpolation"),
[ (0, _("Quadrangle interpolation")),
(1, _("Flat")),
],
default=0,
help=_("Image interpolation type, "
"Flat mode use fixed u,v "
"interpolation parameters"))
uflat = FloatItem(_("Fixed U interpolation parameter"),
default=0.5, min=0., max=1., help=_("For flat mode only"))
vflat = FloatItem(_("Fixed V interpolation parameter"),
default=0.5, min=0., max=1., help=_("For flat mode only"))
grid = BoolItem(_("Show grid"), default=False)
gridcolor = ColorItem(_("Grid lines color"), default="black")
def update_param(self, image):
self.label = to_text_string(image.title().text())
self.colormap = image.get_color_map_name()
interp, uflat, vflat = image.interpolate
self.interpolation = interp
self.uflat = uflat
self.vflat = vflat
self.grid = image.grid
def update_image(self, image):
image.setTitle(self.label)
image.set_color_map(self.colormap)
image.interpolate = (self.interpolation, self.uflat, self.vflat)
image.grid = self.grid
# TODO : gridcolor
class RawImageParam(BaseImageParam):
_hide_background = False
background = ColorItem(_("Background color"), default="#000000"
).set_prop("display",
hide=GetAttrProp("_hide_background"))
def update_param(self, image):
super(RawImageParam, self).update_param(image)
self.background = str(QColor(image.bg_qcolor).name())
def update_image(self, image):
super(RawImageParam, self).update_image(image)
image.set_background_color(self.background)
class RawImageParam_MS(RawImageParam):
_multiselection = True
ItemParameters.register_multiselection(RawImageParam, RawImageParam_MS)
class XYImageParam(RawImageParam):
pass
class XYImageParam_MS(XYImageParam):
_multiselection = True
ItemParameters.register_multiselection(XYImageParam, XYImageParam_MS)
class ImageParam(RawImageParam):
_xdata = BeginGroup(_("Image placement along X-axis"))
xmin = FloatItem(_("x|min"), default=None)
xmax = FloatItem(_("x|max"), default=None)
_end_xdata = EndGroup(_("Image placement along X-axis"))
_ydata = BeginGroup(_("Image placement along Y-axis"))
ymin = FloatItem(_("y|min"), default=None)
ymax = FloatItem(_("y|max"), default=None)
_end_ydata = EndGroup(_("Image placement along Y-axis"))
def update_param(self, image):
super(ImageParam, self).update_param(image)
self.xmin = image.xmin
if self.xmin is None:
self.xmin = 0.
self.ymin = image.ymin
if self.ymin is None:
self.ymin = 0.
if image.is_empty():
shape = (0, 0)
else:
shape = image.data.shape
self.xmax = image.xmax
if self.xmax is None:
self.xmax = float(shape[1])
self.ymax = image.ymax
if self.ymax is None:
self.ymax = float(shape[0])
def update_image(self, image):
super(ImageParam, self).update_image(image)
image.xmin = self.xmin
image.xmax = self.xmax
image.ymin = self.ymin
image.ymax = self.ymax
image.update_bounds()
image.update_border()
class ImageParam_MS(ImageParam):
_multiselection = True
ItemParameters.register_multiselection(ImageParam, ImageParam_MS)
class RGBImageParam(ImageParam):
_hide_background = True
_hide_colormap = True
def update_image(self, image):
super(RGBImageParam, self).update_image(image)
image.recompute_alpha_channel()
class RGBImageParam_MS(RGBImageParam):
_multiselection = True
ItemParameters.register_multiselection(RGBImageParam, RGBImageParam_MS)
class MaskedImageParam(ImageParam):
g_mask = BeginGroup(_("Mask"))
filling_value = FloatItem(_("Filling value"))
show_mask = BoolItem(_("Show image mask"), default=False)
alpha_masked = FloatItem(_("Masked area alpha"),
default=.7, min=0, max=1)
alpha_unmasked = FloatItem(_("Unmasked area alpha"),
default=0., min=0, max=1)
_g_mask = EndGroup(_("Mask"))
def update_image(self, image):
super(MaskedImageParam, self).update_image(image)
image.update_mask()
class MaskedImageParam_MS(MaskedImageParam):
_multiselection = True
ItemParameters.register_multiselection(MaskedImageParam, MaskedImageParam_MS)
class ImageFilterParam(BaseImageParam):
label = StringItem(_("Title"), default=_("Filter"))
g1 = BeginGroup(_("Bounds"))
xmin = FloatItem(_("x|min"))
xmax = FloatItem(_("x|max"))
ymin = FloatItem(_("y|min"))
ymax = FloatItem(_("y|max"))
_g1 = EndGroup("sub-group")
use_source_cmap = BoolItem(_("Use image colormap and level"),
_("Color map"), default=True)
def update_param(self, obj):
self.xmin, self.ymin, self.xmax, self.ymax = obj.border_rect.get_rect()
self.use_source_cmap = obj.use_source_cmap
super(ImageFilterParam, self).update_param(obj)
def update_imagefilter(self, imagefilter):
m, M = imagefilter.get_lut_range()
set_range = False
if not self.use_source_cmap and imagefilter.use_source_cmap:
set_range = True
imagefilter.use_source_cmap = self.use_source_cmap
if set_range:
imagefilter.set_lut_range([m, M])
self.update_image(imagefilter)
imagefilter.border_rect.set_rect(self.xmin, self.ymin,
self.xmax, self.ymax)
class TrImageParam(RawImageParam):
_crop = BeginGroup(_("Crop")
).set_prop("display", hide=GetAttrProp("_multiselection"))
crop_left = IntItem(_("Left"), default=0)
crop_right = IntItem(_("Right"), default=0)
crop_top = IntItem(_("Top"), default=0)
crop_bottom = IntItem(_("Bottom"), default=0)
_end_crop = EndGroup(_("Cropping")
).set_prop("display", hide=GetAttrProp("_multiselection"))
_ps = BeginGroup(_("Pixel size")
).set_prop("display", hide=GetAttrProp("_multiselection"))
dx = FloatItem(_("Width (dx)"), default=1.0)
dy = FloatItem(_("Height (dy)"), default=1.0)
_end_ps = EndGroup(_("Pixel size")
).set_prop("display", hide=GetAttrProp("_multiselection"))
_pos = BeginGroup(_("Translate, rotate and flip"))
pos_x0 = FloatItem(_("xCENTER"), default=0.0
).set_prop("display", hide=GetAttrProp("_multiselection"))
hflip = BoolItem(_("Flip horizontally"), default=False
).set_prop("display", col=1)
pos_y0 = FloatItem(_("yCENTER"), default=0.0
).set_prop("display", hide=GetAttrProp("_multiselection"))
vflip = BoolItem(_("Flip vertically"), default=False
).set_prop("display", col=1)
pos_angle = FloatItem(_("θ (°)"), default=0.0).set_prop("display", col=0)
_end_pos = EndGroup(_("Translate, rotate and flip"))
def update_param(self, image):
super(TrImageParam, self).update_param(image)
# we don't get crop info from the image because
# its not easy to extract from the transform
# and TrImageItem keeps it's crop information
# directly in this DataSet
def update_image(self, image):
RawImageParam.update_image(self, image)
image.set_transform(*self.get_transform())
def get_transform(self):
return (self.pos_x0, self.pos_y0, self.pos_angle*np.pi/180,
self.dx, self.dy, self.hflip, self.vflip)
def set_transform(self, x0, y0, angle, dx=1.0, dy=1.0,
hflip=False, vflip=False):
self.pos_x0 = x0
self.pos_y0 = y0
self.pos_angle = angle*180/np.pi
self.dx = dx
self.dy = dy
self.hflip = hflip
self.vflip = vflip
def set_crop(self, left, top, right, bottom):
self.crop_left = left
self.crop_right = right
self.crop_top = top
self.crop_bottom = bottom
def get_crop(self):
return (self.crop_left, self.crop_top,
self.crop_right, self.crop_bottom)
class TrImageParam_MS(TrImageParam):
_multiselection = True
ItemParameters.register_multiselection(TrImageParam, TrImageParam_MS)
# ===================================================
# Histogram parameters
# ===================================================
class HistogramParam(DataSet):
n_bins = IntItem(_("Bins"), default=100, min=1, help=_("Number of bins"))
logscale = BoolItem(_("logarithmic"), _("Y-axis scale"), default=False)
def update_param(self, obj):
self.n_bins = obj.get_bins()
self.logscale = obj.get_logscale()
def update_hist(self, hist):
hist.set_bins(self.n_bins)
hist.set_logscale(self.logscale)
# ===================================================
# Histogram 2D parameters
# ===================================================
class Histogram2DParam(BaseImageParam):
"""Histogram"""
_multiselection = False
label = StringItem(_("Title"), default=_("Histogram")) \
.set_prop("display", hide=GetAttrProp("_multiselection"))
nx_bins = IntItem(_("X-axis bins"), default=100, min=1,
help=_("Number of bins along x-axis"))
ny_bins = IntItem(_("Y-axis bins"), default=100, min=1,
help=_("Number of bins along y-axis"))
logscale = BoolItem(_("logarithmic"), _("Z-axis scale"), default=False)
computation = ChoiceItem(_("Computation"),
[(-1, _("Bin count")),
(0, _("Maximum value")),
(1, _("Mininum value")),
(2, _("Sum")),
(3, _("Product")),
(4, _("Average")),
],
default=-1,
help=_("Bin count : counts the number of points per bin,\n"
"For max, min, sum, product, average, compute the "
"function of a third parameter (one by default)"))
auto_lut = BoolItem(_("Automatic LUT range"), default=True,
help=_("Automatically adapt color scale "
"when panning, zooming"))
background = ColorItem(_("Background color"), default="transparent",
help=_("Background color when no data is present"))
def update_param(self, obj):
super(Histogram2DParam, self).update_param(obj)
self.logscale = obj.logscale
self.nx_bins, self.ny_bins = obj.nx_bins, obj.ny_bins
def update_histogram(self, histogram):
histogram.logscale = int(self.logscale)
histogram.set_background_color(self.background)
histogram.set_bins(self.nx_bins, self.ny_bins)
self.update_image(histogram)
class Histogram2DParam_MS(Histogram2DParam):
_multiselection = True
ItemParameters.register_multiselection(Histogram2DParam, Histogram2DParam_MS)
# ===================================================
# Shape parameters
# ===================================================
class MarkerParam(DataSet):
_styles = BeginTabGroup("Styles")
#------------------------------------------------------------------ Line tab
___line = BeginGroup(_("Line")).set_prop("display", icon="dashdot.png")
line = LineStyleItem(_("Line (not selected)"))
sel_line = LineStyleItem(_("Line (selected)"))
___eline = EndGroup(_("Line"))
#---------------------------------------------------------------- Symbol tab
___sym = BeginGroup(_("Symbol")).set_prop("display", icon="diamond.png")
symbol = SymbolItem(_("Symbol (not selected)"))
sel_symbol = SymbolItem(_("Symbol (selected)"))
___esym = EndGroup(_("Symbol"))
#------------------------------------------------------------------ Text tab
___text = BeginGroup(_("Text")).set_prop("display", icon="font.png")
text = TextStyleItem(_("Text (not selected)"))
sel_text = TextStyleItem(_("Text (selected)"))
___etext = EndGroup(_("Text"))
#----------------------------------------------------------------------- End
_endstyles = EndTabGroup("Styles")
markerstyle = ImageChoiceItem(_("Line style"), MARKERSTYLE_CHOICES,
default="NoLine")
spacing = IntItem(_("Spacing"), default=10, min=0)
def update_param(self, obj):
self.symbol.update_param(obj.symbol())
self.text.update_param(obj.label())
self.line.update_param(obj.linePen())
self.markerstyle = MARKERSTYLE_NAME[obj.lineStyle()]
self.spacing = obj.spacing()
def update_marker(self, obj):
if obj.selected:
line = self.sel_line
symb = self.sel_symbol
text = self.sel_text
else:
line = self.line
symb = self.symbol
text = self.text
symb.update_symbol(obj)
label = obj.label()
text.update_text(label)
obj.setLabel(label)
obj.setLinePen(line.build_pen())
obj.setLineStyle(getattr(QwtPlotMarker, self.markerstyle))
obj.setSpacing(self.spacing)
obj.update_label()
def set_markerstyle(self, style):
"""
Set marker line style
style:
* convenient values: '+', '-', '|' or None
* QwtPlotMarker.NoLine, QwtPlotMarker.Vertical, ...
"""
self.markerstyle = MARKERSTYLES.get(style, style)
class ShapeParam(DataSet):
label = StringItem(_("Title"), default="")
_styles = BeginTabGroup("Styles")
#------------------------------------------------------------------ Line tab
___line = BeginGroup(_("Line")).set_prop("display", icon="dashdot.png")
line = LineStyleItem(_("Line (not selected)"))
sel_line = LineStyleItem(_("Line (selected)"))
___eline = EndGroup(_("Line"))
#---------------------------------------------------------------- Symbol tab
___sym = BeginGroup(_("Symbol")).set_prop("display", icon="diamond.png")
symbol = SymbolItem(_("Symbol (not selected)"))
sel_symbol = SymbolItem(_("Symbol (selected)"))
___esym = EndGroup(_("Symbol"))
#------------------------------------------------------------------ Fill tab
___fill = BeginGroup(_("Fill pattern")).set_prop("display",
icon="dense6pattern.png")
fill = BrushStyleItem(_("Fill pattern (not selected)"))
sel_fill = BrushStyleItem(_("Fill pattern (selected)"))
___efill = EndGroup(_("Fill pattern"))
#----------------------------------------------------------------------- End
_endstyles = EndTabGroup("Styles")
readonly = BoolItem(_("Read-only shape"), default=False,
help=_("Read-only shapes can't be removed from "
"the item list panel"))
private = BoolItem(_("Private shape"), default=False,
help=_("Private shapes are not shown in "
"the item list panel")).set_pos(col=1)
def update_param(self, obj):
self.label = to_text_string(obj.title().text())
self.line.update_param(obj.pen)
self.symbol.update_param(obj.symbol)
self.fill.update_param(obj.brush)
self.sel_line.update_param(obj.sel_pen)
self.sel_symbol.update_param(obj.sel_symbol)
self.sel_fill.update_param(obj.sel_brush)
self.readonly = obj.is_readonly()
self.private = obj.is_private()
def update_shape(self, obj):
obj.setTitle(self.label)
obj.pen = self.line.build_pen()
obj.symbol = self.symbol.build_symbol()
obj.brush = self.fill.build_brush()
obj.sel_pen = self.sel_line.build_pen()
obj.sel_symbol = self.sel_symbol.build_symbol()
obj.sel_brush = self.sel_fill.build_brush()
obj.set_readonly(self.readonly)
obj.set_private(self.private)
class AxesShapeParam(DataSet):
arrow_angle = FloatItem(_("Arrow angle (°)"), min=0, max=90, nonzero=True)
arrow_size = FloatItem(_("Arrow size (%)"), min=0, max=100, nonzero=True)
_styles = BeginTabGroup("Styles")
#------------------------------------------------------------------ Line tab
___line = BeginGroup(_("Line")).set_prop("display", icon="dashdot.png")
xarrow_pen = LineStyleItem(_("Line (X-Axis)"))
yarrow_pen = LineStyleItem(_("Line (Y-Axis)"))
___eline = EndGroup(_("Line"))
#------------------------------------------------------------------ Fill tab
___fill = BeginGroup(_("Fill pattern")).set_prop("display",
icon="dense6pattern.png")
xarrow_brush = BrushStyleItem(_("Fill pattern (X-Axis)"))
yarrow_brush = BrushStyleItem(_("Fill pattern (Y-Axis)"))
___efill = EndGroup(_("Fill pattern"))
#----------------------------------------------------------------------- End
_endstyles = EndTabGroup("Styles")
def update_param(self, obj):
self.arrow_angle = obj.arrow_angle
self.arrow_size = obj.arrow_size
self.xarrow_pen.update_param(obj.x_pen)
self.yarrow_pen.update_param(obj.y_pen)
self.xarrow_brush.update_param(obj.x_brush)
self.yarrow_brush.update_param(obj.y_brush)
def update_axes(self, obj):
obj.arrow_angle = self.arrow_angle
obj.arrow_size = self.arrow_size
obj.x_pen = self.xarrow_pen.build_pen()
obj.x_brush = self.xarrow_brush.build_brush()
obj.y_pen = self.yarrow_pen.build_pen()
obj.y_brush = self.yarrow_brush.build_brush()
class AnnotationParam(DataSet):
show_label = BoolItem(_("Show annotation"), default=True)
show_computations = BoolItem(_("Show informations on area "
"covered by this shape"), default=True)
title = StringItem(_("Title"), default="")
subtitle = StringItem(_("Subtitle"), default="")
format = StringItem(_("String formatting"), default="%.1f")
uncertainty = FloatItem(_("Uncertainty"), default=0., min=0., max=1.,
help=_("Measurement relative uncertainty")
).set_pos(col=1)
transform_matrix = FloatArrayItem(_("Transform matrix"),
default=np.eye(3, dtype=float))
readonly = BoolItem(_("Read-only shape"), default=False,
help=_("Read-only shapes can't be removed from "
"the item list panel"))
private = BoolItem(_("Private shape"), default=False,
help=_("Private shapes are not shown in "
"the item list panel")).set_pos(col=1)
def update_param(self, obj):
self.show_label = obj.is_label_visible()
self.show_computations = obj.area_computations_visible
self.title = to_text_string(obj.title().text())
self.readonly = obj.is_readonly()
self.private = obj.is_private()
def update_annotation(self, obj):
obj.setTitle(self.title)
obj.set_label_visible(self.show_label)
obj.area_computations_visible = self.show_computations
obj.update_label()
obj.set_readonly(self.readonly)
obj.set_private(self.private)
# ===================================================
# Range selection parameters
# ===================================================
class RangeShapeParam(DataSet):
_styles = BeginTabGroup("Styles")
#------------------------------------------------------------------ Line tab
___line = BeginGroup(_("Line")).set_prop("display", icon="dashdot.png")
line = LineStyleItem(_("Line (not selected)"))
sel_line = LineStyleItem(_("Line (selected)"))
___eline = EndGroup(_("Line"))
#---------------------------------------------------------------- Symbol tab
___symbol = BeginGroup(_("Symbol")).set_prop("display", icon="diamond.png")
symbol = SymbolItem(_("Symbol (not selected)"))
sel_symbol = SymbolItem(_("Symbol (selected)"))
___esymbol = EndGroup(_("Symbol"))
#------------------------------------------------------------------ Fill tab
___fill = BeginGroup(_("Fill")).set_prop("display",
icon="dense6pattern.png")
fill = ColorItem(_("Fill color"))
shade = FloatItem(_("Shade"), default = .05, min=0, max=1)
___efill = EndGroup(_("Fill"))
#----------------------------------------------------------------------- End
_endstyles = EndTabGroup("Styles")
def update_param(self, range):
self.line.update_param(range.pen)
self.sel_line.update_param(range.sel_pen)
self.fill = range.brush.color().name()
self.shade = range.brush.color().alphaF()
self.symbol.update_param(range.symbol)
self.sel_symbol.update_param(range.sel_symbol)
def update_range(self, range):
range.pen = self.line.build_pen()
range.sel_pen = self.sel_line.build_pen()
col = QColor(self.fill)
col.setAlphaF(self.shade)
range.brush = QBrush(col)
range.symbol = self.symbol.build_symbol()
range.sel_symbol = self.sel_symbol.build_symbol()
guiqwt-2.3.1/guiqwt/_cm.py 0000666 0000000 0000000 00001340454 12144123502 014174 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2010 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
"""
Color data and pre-defined cmap objects.
This is a helper for cm.py, originally part of that file.
Separating the data (this file) from cm.py makes both easier
to deal with.
Objects visible in cm.py are the individual cmap objects ('autumn',
etc.) and a dictionary, 'datad', including all of these objects.
"""
# pylint: disable-msg=C0103
# pylint: disable-msg=C0301
# pylint: disable-msg=C0302
_binary_data = {
'red' : ((0., 1., 1.), (1., 0., 0.)),
'green': ((0., 1., 1.), (1., 0., 0.)),
'blue' : ((0., 1., 1.), (1., 0., 0.))
}
_bone_data = {'red': ((0., 0., 0.), (1.0, 1.0, 1.0)),
'green': ((0., 0., 0.), (1.0, 1.0, 1.0)),
'blue': ((0., 0., 0.), (1.0, 1.0, 1.0))}
_autumn_data = {'red': ((0., 1.0, 1.0), (1.0, 1.0, 1.0)),
'green': ((0., 0., 0.), (1.0, 1.0, 1.0)),
'blue': ((0., 0., 0.), (1.0, 0., 0.))}
_bone_data = {'red': ((0., 0., 0.), (0.746032, 0.652778, 0.652778), (1.0, 1.0, 1.0)),
'green': ((0., 0., 0.), (0.365079, 0.319444, 0.319444),
(0.746032, 0.777778, 0.777778), (1.0, 1.0, 1.0)),
'blue': ((0., 0., 0.), (0.365079, 0.444444, 0.444444), (1.0, 1.0, 1.0))}
_cool_data = {'red': ((0., 0., 0.), (1.0, 1.0, 1.0)),
'green': ((0., 1., 1.), (1.0, 0., 0.)),
'blue': ((0., 1., 1.), (1.0, 1., 1.))}
_copper_data = {'red': ((0., 0., 0.), (0.809524, 1.000000, 1.000000), (1.0, 1.0, 1.0)),
'green': ((0., 0., 0.), (1.0, 0.7812, 0.7812)),
'blue': ((0., 0., 0.), (1.0, 0.4975, 0.4975))}
_flag_data = {'red': ((0., 1., 1.), (0.015873, 1.000000, 1.000000),
(0.031746, 0.000000, 0.000000), (0.047619, 0.000000, 0.000000),
(0.063492, 1.000000, 1.000000), (0.079365, 1.000000, 1.000000),
(0.095238, 0.000000, 0.000000), (0.111111, 0.000000, 0.000000),
(0.126984, 1.000000, 1.000000), (0.142857, 1.000000, 1.000000),
(0.158730, 0.000000, 0.000000), (0.174603, 0.000000, 0.000000),
(0.190476, 1.000000, 1.000000), (0.206349, 1.000000, 1.000000),
(0.222222, 0.000000, 0.000000), (0.238095, 0.000000, 0.000000),
(0.253968, 1.000000, 1.000000), (0.269841, 1.000000, 1.000000),
(0.285714, 0.000000, 0.000000), (0.301587, 0.000000, 0.000000),
(0.317460, 1.000000, 1.000000), (0.333333, 1.000000, 1.000000),
(0.349206, 0.000000, 0.000000), (0.365079, 0.000000, 0.000000),
(0.380952, 1.000000, 1.000000), (0.396825, 1.000000, 1.000000),
(0.412698, 0.000000, 0.000000), (0.428571, 0.000000, 0.000000),
(0.444444, 1.000000, 1.000000), (0.460317, 1.000000, 1.000000),
(0.476190, 0.000000, 0.000000), (0.492063, 0.000000, 0.000000),
(0.507937, 1.000000, 1.000000), (0.523810, 1.000000, 1.000000),
(0.539683, 0.000000, 0.000000), (0.555556, 0.000000, 0.000000),
(0.571429, 1.000000, 1.000000), (0.587302, 1.000000, 1.000000),
(0.603175, 0.000000, 0.000000), (0.619048, 0.000000, 0.000000),
(0.634921, 1.000000, 1.000000), (0.650794, 1.000000, 1.000000),
(0.666667, 0.000000, 0.000000), (0.682540, 0.000000, 0.000000),
(0.698413, 1.000000, 1.000000), (0.714286, 1.000000, 1.000000),
(0.730159, 0.000000, 0.000000), (0.746032, 0.000000, 0.000000),
(0.761905, 1.000000, 1.000000), (0.777778, 1.000000, 1.000000),
(0.793651, 0.000000, 0.000000), (0.809524, 0.000000, 0.000000),
(0.825397, 1.000000, 1.000000), (0.841270, 1.000000, 1.000000),
(0.857143, 0.000000, 0.000000), (0.873016, 0.000000, 0.000000),
(0.888889, 1.000000, 1.000000), (0.904762, 1.000000, 1.000000),
(0.920635, 0.000000, 0.000000), (0.936508, 0.000000, 0.000000),
(0.952381, 1.000000, 1.000000), (0.968254, 1.000000, 1.000000),
(0.984127, 0.000000, 0.000000), (1.0, 0., 0.)),
'green': ((0., 0., 0.), (0.015873, 1.000000, 1.000000),
(0.031746, 0.000000, 0.000000), (0.063492, 0.000000, 0.000000),
(0.079365, 1.000000, 1.000000), (0.095238, 0.000000, 0.000000),
(0.126984, 0.000000, 0.000000), (0.142857, 1.000000, 1.000000),
(0.158730, 0.000000, 0.000000), (0.190476, 0.000000, 0.000000),
(0.206349, 1.000000, 1.000000), (0.222222, 0.000000, 0.000000),
(0.253968, 0.000000, 0.000000), (0.269841, 1.000000, 1.000000),
(0.285714, 0.000000, 0.000000), (0.317460, 0.000000, 0.000000),
(0.333333, 1.000000, 1.000000), (0.349206, 0.000000, 0.000000),
(0.380952, 0.000000, 0.000000), (0.396825, 1.000000, 1.000000),
(0.412698, 0.000000, 0.000000), (0.444444, 0.000000, 0.000000),
(0.460317, 1.000000, 1.000000), (0.476190, 0.000000, 0.000000),
(0.507937, 0.000000, 0.000000), (0.523810, 1.000000, 1.000000),
(0.539683, 0.000000, 0.000000), (0.571429, 0.000000, 0.000000),
(0.587302, 1.000000, 1.000000), (0.603175, 0.000000, 0.000000),
(0.634921, 0.000000, 0.000000), (0.650794, 1.000000, 1.000000),
(0.666667, 0.000000, 0.000000), (0.698413, 0.000000, 0.000000),
(0.714286, 1.000000, 1.000000), (0.730159, 0.000000, 0.000000),
(0.761905, 0.000000, 0.000000), (0.777778, 1.000000, 1.000000),
(0.793651, 0.000000, 0.000000), (0.825397, 0.000000, 0.000000),
(0.841270, 1.000000, 1.000000), (0.857143, 0.000000, 0.000000),
(0.888889, 0.000000, 0.000000), (0.904762, 1.000000, 1.000000),
(0.920635, 0.000000, 0.000000), (0.952381, 0.000000, 0.000000),
(0.968254, 1.000000, 1.000000), (0.984127, 0.000000, 0.000000),
(1.0, 0., 0.)),
'blue': ((0., 0., 0.), (0.015873, 1.000000, 1.000000),
(0.031746, 1.000000, 1.000000), (0.047619, 0.000000, 0.000000),
(0.063492, 0.000000, 0.000000), (0.079365, 1.000000, 1.000000),
(0.095238, 1.000000, 1.000000), (0.111111, 0.000000, 0.000000),
(0.126984, 0.000000, 0.000000), (0.142857, 1.000000, 1.000000),
(0.158730, 1.000000, 1.000000), (0.174603, 0.000000, 0.000000),
(0.190476, 0.000000, 0.000000), (0.206349, 1.000000, 1.000000),
(0.222222, 1.000000, 1.000000), (0.238095, 0.000000, 0.000000),
(0.253968, 0.000000, 0.000000), (0.269841, 1.000000, 1.000000),
(0.285714, 1.000000, 1.000000), (0.301587, 0.000000, 0.000000),
(0.317460, 0.000000, 0.000000), (0.333333, 1.000000, 1.000000),
(0.349206, 1.000000, 1.000000), (0.365079, 0.000000, 0.000000),
(0.380952, 0.000000, 0.000000), (0.396825, 1.000000, 1.000000),
(0.412698, 1.000000, 1.000000), (0.428571, 0.000000, 0.000000),
(0.444444, 0.000000, 0.000000), (0.460317, 1.000000, 1.000000),
(0.476190, 1.000000, 1.000000), (0.492063, 0.000000, 0.000000),
(0.507937, 0.000000, 0.000000), (0.523810, 1.000000, 1.000000),
(0.539683, 1.000000, 1.000000), (0.555556, 0.000000, 0.000000),
(0.571429, 0.000000, 0.000000), (0.587302, 1.000000, 1.000000),
(0.603175, 1.000000, 1.000000), (0.619048, 0.000000, 0.000000),
(0.634921, 0.000000, 0.000000), (0.650794, 1.000000, 1.000000),
(0.666667, 1.000000, 1.000000), (0.682540, 0.000000, 0.000000),
(0.698413, 0.000000, 0.000000), (0.714286, 1.000000, 1.000000),
(0.730159, 1.000000, 1.000000), (0.746032, 0.000000, 0.000000),
(0.761905, 0.000000, 0.000000), (0.777778, 1.000000, 1.000000),
(0.793651, 1.000000, 1.000000), (0.809524, 0.000000, 0.000000),
(0.825397, 0.000000, 0.000000), (0.841270, 1.000000, 1.000000),
(0.857143, 1.000000, 1.000000), (0.873016, 0.000000, 0.000000),
(0.888889, 0.000000, 0.000000), (0.904762, 1.000000, 1.000000),
(0.920635, 1.000000, 1.000000), (0.936508, 0.000000, 0.000000),
(0.952381, 0.000000, 0.000000), (0.968254, 1.000000, 1.000000),
(0.984127, 1.000000, 1.000000), (1.0, 0., 0.))}
_gray_data = {'red': ((0., 0, 0), (1., 1, 1)),
'green': ((0., 0, 0), (1., 1, 1)),
'blue': ((0., 0, 0), (1., 1, 1))}
_hot_data = {'red': ((0., 0.0416, 0.0416), (0.365079, 1.000000, 1.000000), (1.0, 1.0, 1.0)),
'green': ((0., 0., 0.), (0.365079, 0.000000, 0.000000),
(0.746032, 1.000000, 1.000000), (1.0, 1.0, 1.0)),
'blue': ((0., 0., 0.), (0.746032, 0.000000, 0.000000), (1.0, 1.0, 1.0))}
_hsv_data = {'red': ((0., 1., 1.), (0.158730, 1.000000, 1.000000),
(0.174603, 0.968750, 0.968750), (0.333333, 0.031250, 0.031250),
(0.349206, 0.000000, 0.000000), (0.666667, 0.000000, 0.000000),
(0.682540, 0.031250, 0.031250), (0.841270, 0.968750, 0.968750),
(0.857143, 1.000000, 1.000000), (1.0, 1.0, 1.0)),
'green': ((0., 0., 0.), (0.158730, 0.937500, 0.937500),
(0.174603, 1.000000, 1.000000), (0.507937, 1.000000, 1.000000),
(0.666667, 0.062500, 0.062500), (0.682540, 0.000000, 0.000000),
(1.0, 0., 0.)),
'blue': ((0., 0., 0.), (0.333333, 0.000000, 0.000000),
(0.349206, 0.062500, 0.062500), (0.507937, 1.000000, 1.000000),
(0.841270, 1.000000, 1.000000), (0.857143, 0.937500, 0.937500),
(1.0, 0.09375, 0.09375))}
_jet_data = {'red': ((0., 0, 0), (0.35, 0, 0), (0.66, 1, 1), (0.89, 1, 1),
(1, 0.5, 0.5)),
'green': ((0., 0, 0), (0.125, 0, 0), (0.375, 1, 1), (0.64, 1, 1),
(0.91, 0, 0), (1, 0, 0)),
'blue': ((0., 0.5, 0.5), (0.11, 1, 1), (0.34, 1, 1), (0.65, 0, 0),
(1, 0, 0))}
_pink_data = {'red': ((0., 0.1178, 0.1178), (0.015873, 0.195857, 0.195857),
(0.031746, 0.250661, 0.250661), (0.047619, 0.295468, 0.295468),
(0.063492, 0.334324, 0.334324), (0.079365, 0.369112, 0.369112),
(0.095238, 0.400892, 0.400892), (0.111111, 0.430331, 0.430331),
(0.126984, 0.457882, 0.457882), (0.142857, 0.483867, 0.483867),
(0.158730, 0.508525, 0.508525), (0.174603, 0.532042, 0.532042),
(0.190476, 0.554563, 0.554563), (0.206349, 0.576204, 0.576204),
(0.222222, 0.597061, 0.597061), (0.238095, 0.617213, 0.617213),
(0.253968, 0.636729, 0.636729), (0.269841, 0.655663, 0.655663),
(0.285714, 0.674066, 0.674066), (0.301587, 0.691980, 0.691980),
(0.317460, 0.709441, 0.709441), (0.333333, 0.726483, 0.726483),
(0.349206, 0.743134, 0.743134), (0.365079, 0.759421, 0.759421),
(0.380952, 0.766356, 0.766356), (0.396825, 0.773229, 0.773229),
(0.412698, 0.780042, 0.780042), (0.428571, 0.786796, 0.786796),
(0.444444, 0.793492, 0.793492), (0.460317, 0.800132, 0.800132),
(0.476190, 0.806718, 0.806718), (0.492063, 0.813250, 0.813250),
(0.507937, 0.819730, 0.819730), (0.523810, 0.826160, 0.826160),
(0.539683, 0.832539, 0.832539), (0.555556, 0.838870, 0.838870),
(0.571429, 0.845154, 0.845154), (0.587302, 0.851392, 0.851392),
(0.603175, 0.857584, 0.857584), (0.619048, 0.863731, 0.863731),
(0.634921, 0.869835, 0.869835), (0.650794, 0.875897, 0.875897),
(0.666667, 0.881917, 0.881917), (0.682540, 0.887896, 0.887896),
(0.698413, 0.893835, 0.893835), (0.714286, 0.899735, 0.899735),
(0.730159, 0.905597, 0.905597), (0.746032, 0.911421, 0.911421),
(0.761905, 0.917208, 0.917208), (0.777778, 0.922958, 0.922958),
(0.793651, 0.928673, 0.928673), (0.809524, 0.934353, 0.934353),
(0.825397, 0.939999, 0.939999), (0.841270, 0.945611, 0.945611),
(0.857143, 0.951190, 0.951190), (0.873016, 0.956736, 0.956736),
(0.888889, 0.962250, 0.962250), (0.904762, 0.967733, 0.967733),
(0.920635, 0.973185, 0.973185), (0.936508, 0.978607, 0.978607),
(0.952381, 0.983999, 0.983999), (0.968254, 0.989361, 0.989361),
(0.984127, 0.994695, 0.994695), (1.0, 1.0, 1.0)),
'green': ((0., 0., 0.), (0.015873, 0.102869, 0.102869),
(0.031746, 0.145479, 0.145479), (0.047619, 0.178174, 0.178174),
(0.063492, 0.205738, 0.205738), (0.079365, 0.230022, 0.230022),
(0.095238, 0.251976, 0.251976), (0.111111, 0.272166, 0.272166),
(0.126984, 0.290957, 0.290957), (0.142857, 0.308607, 0.308607),
(0.158730, 0.325300, 0.325300), (0.174603, 0.341178, 0.341178),
(0.190476, 0.356348, 0.356348), (0.206349, 0.370899, 0.370899),
(0.222222, 0.384900, 0.384900), (0.238095, 0.398410, 0.398410),
(0.253968, 0.411476, 0.411476), (0.269841, 0.424139, 0.424139),
(0.285714, 0.436436, 0.436436), (0.301587, 0.448395, 0.448395),
(0.317460, 0.460044, 0.460044), (0.333333, 0.471405, 0.471405),
(0.349206, 0.482498, 0.482498), (0.365079, 0.493342, 0.493342),
(0.380952, 0.517549, 0.517549), (0.396825, 0.540674, 0.540674),
(0.412698, 0.562849, 0.562849), (0.428571, 0.584183, 0.584183),
(0.444444, 0.604765, 0.604765), (0.460317, 0.624669, 0.624669),
(0.476190, 0.643958, 0.643958), (0.492063, 0.662687, 0.662687),
(0.507937, 0.680900, 0.680900), (0.523810, 0.698638, 0.698638),
(0.539683, 0.715937, 0.715937), (0.555556, 0.732828, 0.732828),
(0.571429, 0.749338, 0.749338), (0.587302, 0.765493, 0.765493),
(0.603175, 0.781313, 0.781313), (0.619048, 0.796819, 0.796819),
(0.634921, 0.812029, 0.812029), (0.650794, 0.826960, 0.826960),
(0.666667, 0.841625, 0.841625), (0.682540, 0.856040, 0.856040),
(0.698413, 0.870216, 0.870216), (0.714286, 0.884164, 0.884164),
(0.730159, 0.897896, 0.897896), (0.746032, 0.911421, 0.911421),
(0.761905, 0.917208, 0.917208), (0.777778, 0.922958, 0.922958),
(0.793651, 0.928673, 0.928673), (0.809524, 0.934353, 0.934353),
(0.825397, 0.939999, 0.939999), (0.841270, 0.945611, 0.945611),
(0.857143, 0.951190, 0.951190), (0.873016, 0.956736, 0.956736),
(0.888889, 0.962250, 0.962250), (0.904762, 0.967733, 0.967733),
(0.920635, 0.973185, 0.973185), (0.936508, 0.978607, 0.978607),
(0.952381, 0.983999, 0.983999), (0.968254, 0.989361, 0.989361),
(0.984127, 0.994695, 0.994695), (1.0, 1.0, 1.0)),
'blue': ((0., 0., 0.), (0.015873, 0.102869, 0.102869),
(0.031746, 0.145479, 0.145479), (0.047619, 0.178174, 0.178174),
(0.063492, 0.205738, 0.205738), (0.079365, 0.230022, 0.230022),
(0.095238, 0.251976, 0.251976), (0.111111, 0.272166, 0.272166),
(0.126984, 0.290957, 0.290957), (0.142857, 0.308607, 0.308607),
(0.158730, 0.325300, 0.325300), (0.174603, 0.341178, 0.341178),
(0.190476, 0.356348, 0.356348), (0.206349, 0.370899, 0.370899),
(0.222222, 0.384900, 0.384900), (0.238095, 0.398410, 0.398410),
(0.253968, 0.411476, 0.411476), (0.269841, 0.424139, 0.424139),
(0.285714, 0.436436, 0.436436), (0.301587, 0.448395, 0.448395),
(0.317460, 0.460044, 0.460044), (0.333333, 0.471405, 0.471405),
(0.349206, 0.482498, 0.482498), (0.365079, 0.493342, 0.493342),
(0.380952, 0.503953, 0.503953), (0.396825, 0.514344, 0.514344),
(0.412698, 0.524531, 0.524531), (0.428571, 0.534522, 0.534522),
(0.444444, 0.544331, 0.544331), (0.460317, 0.553966, 0.553966),
(0.476190, 0.563436, 0.563436), (0.492063, 0.572750, 0.572750),
(0.507937, 0.581914, 0.581914), (0.523810, 0.590937, 0.590937),
(0.539683, 0.599824, 0.599824), (0.555556, 0.608581, 0.608581),
(0.571429, 0.617213, 0.617213), (0.587302, 0.625727, 0.625727),
(0.603175, 0.634126, 0.634126), (0.619048, 0.642416, 0.642416),
(0.634921, 0.650600, 0.650600), (0.650794, 0.658682, 0.658682),
(0.666667, 0.666667, 0.666667), (0.682540, 0.674556, 0.674556),
(0.698413, 0.682355, 0.682355), (0.714286, 0.690066, 0.690066),
(0.730159, 0.697691, 0.697691), (0.746032, 0.705234, 0.705234),
(0.761905, 0.727166, 0.727166), (0.777778, 0.748455, 0.748455),
(0.793651, 0.769156, 0.769156), (0.809524, 0.789314, 0.789314),
(0.825397, 0.808969, 0.808969), (0.841270, 0.828159, 0.828159),
(0.857143, 0.846913, 0.846913), (0.873016, 0.865261, 0.865261),
(0.888889, 0.883229, 0.883229), (0.904762, 0.900837, 0.900837),
(0.920635, 0.918109, 0.918109), (0.936508, 0.935061, 0.935061),
(0.952381, 0.951711, 0.951711), (0.968254, 0.968075, 0.968075),
(0.984127, 0.984167, 0.984167), (1.0, 1.0, 1.0))}
_prism_data = {'red': ((0., 1., 1.), (0.031746, 1.000000, 1.000000),
(0.047619, 0.000000, 0.000000), (0.063492, 0.000000, 0.000000),
(0.079365, 0.666667, 0.666667), (0.095238, 1.000000, 1.000000),
(0.126984, 1.000000, 1.000000), (0.142857, 0.000000, 0.000000),
(0.158730, 0.000000, 0.000000), (0.174603, 0.666667, 0.666667),
(0.190476, 1.000000, 1.000000), (0.222222, 1.000000, 1.000000),
(0.238095, 0.000000, 0.000000), (0.253968, 0.000000, 0.000000),
(0.269841, 0.666667, 0.666667), (0.285714, 1.000000, 1.000000),
(0.317460, 1.000000, 1.000000), (0.333333, 0.000000, 0.000000),
(0.349206, 0.000000, 0.000000), (0.365079, 0.666667, 0.666667),
(0.380952, 1.000000, 1.000000), (0.412698, 1.000000, 1.000000),
(0.428571, 0.000000, 0.000000), (0.444444, 0.000000, 0.000000),
(0.460317, 0.666667, 0.666667), (0.476190, 1.000000, 1.000000),
(0.507937, 1.000000, 1.000000), (0.523810, 0.000000, 0.000000),
(0.539683, 0.000000, 0.000000), (0.555556, 0.666667, 0.666667),
(0.571429, 1.000000, 1.000000), (0.603175, 1.000000, 1.000000),
(0.619048, 0.000000, 0.000000), (0.634921, 0.000000, 0.000000),
(0.650794, 0.666667, 0.666667), (0.666667, 1.000000, 1.000000),
(0.698413, 1.000000, 1.000000), (0.714286, 0.000000, 0.000000),
(0.730159, 0.000000, 0.000000), (0.746032, 0.666667, 0.666667),
(0.761905, 1.000000, 1.000000), (0.793651, 1.000000, 1.000000),
(0.809524, 0.000000, 0.000000), (0.825397, 0.000000, 0.000000),
(0.841270, 0.666667, 0.666667), (0.857143, 1.000000, 1.000000),
(0.888889, 1.000000, 1.000000), (0.904762, 0.000000, 0.000000),
(0.920635, 0.000000, 0.000000), (0.936508, 0.666667, 0.666667),
(0.952381, 1.000000, 1.000000), (0.984127, 1.000000, 1.000000),
(1.0, 0.0, 0.0)),
'green': ((0., 0., 0.), (0.031746, 1.000000, 1.000000),
(0.047619, 1.000000, 1.000000), (0.063492, 0.000000, 0.000000),
(0.095238, 0.000000, 0.000000), (0.126984, 1.000000, 1.000000),
(0.142857, 1.000000, 1.000000), (0.158730, 0.000000, 0.000000),
(0.190476, 0.000000, 0.000000), (0.222222, 1.000000, 1.000000),
(0.238095, 1.000000, 1.000000), (0.253968, 0.000000, 0.000000),
(0.285714, 0.000000, 0.000000), (0.317460, 1.000000, 1.000000),
(0.333333, 1.000000, 1.000000), (0.349206, 0.000000, 0.000000),
(0.380952, 0.000000, 0.000000), (0.412698, 1.000000, 1.000000),
(0.428571, 1.000000, 1.000000), (0.444444, 0.000000, 0.000000),
(0.476190, 0.000000, 0.000000), (0.507937, 1.000000, 1.000000),
(0.523810, 1.000000, 1.000000), (0.539683, 0.000000, 0.000000),
(0.571429, 0.000000, 0.000000), (0.603175, 1.000000, 1.000000),
(0.619048, 1.000000, 1.000000), (0.634921, 0.000000, 0.000000),
(0.666667, 0.000000, 0.000000), (0.698413, 1.000000, 1.000000),
(0.714286, 1.000000, 1.000000), (0.730159, 0.000000, 0.000000),
(0.761905, 0.000000, 0.000000), (0.793651, 1.000000, 1.000000),
(0.809524, 1.000000, 1.000000), (0.825397, 0.000000, 0.000000),
(0.857143, 0.000000, 0.000000), (0.888889, 1.000000, 1.000000),
(0.904762, 1.000000, 1.000000), (0.920635, 0.000000, 0.000000),
(0.952381, 0.000000, 0.000000), (0.984127, 1.000000, 1.000000),
(1.0, 1.0, 1.0)),
'blue': ((0., 0., 0.), (0.047619, 0.000000, 0.000000),
(0.063492, 1.000000, 1.000000), (0.079365, 1.000000, 1.000000),
(0.095238, 0.000000, 0.000000), (0.142857, 0.000000, 0.000000),
(0.158730, 1.000000, 1.000000), (0.174603, 1.000000, 1.000000),
(0.190476, 0.000000, 0.000000), (0.238095, 0.000000, 0.000000),
(0.253968, 1.000000, 1.000000), (0.269841, 1.000000, 1.000000),
(0.285714, 0.000000, 0.000000), (0.333333, 0.000000, 0.000000),
(0.349206, 1.000000, 1.000000), (0.365079, 1.000000, 1.000000),
(0.380952, 0.000000, 0.000000), (0.428571, 0.000000, 0.000000),
(0.444444, 1.000000, 1.000000), (0.460317, 1.000000, 1.000000),
(0.476190, 0.000000, 0.000000), (0.523810, 0.000000, 0.000000),
(0.539683, 1.000000, 1.000000), (0.555556, 1.000000, 1.000000),
(0.571429, 0.000000, 0.000000), (0.619048, 0.000000, 0.000000),
(0.634921, 1.000000, 1.000000), (0.650794, 1.000000, 1.000000),
(0.666667, 0.000000, 0.000000), (0.714286, 0.000000, 0.000000),
(0.730159, 1.000000, 1.000000), (0.746032, 1.000000, 1.000000),
(0.761905, 0.000000, 0.000000), (0.809524, 0.000000, 0.000000),
(0.825397, 1.000000, 1.000000), (0.841270, 1.000000, 1.000000),
(0.857143, 0.000000, 0.000000), (0.904762, 0.000000, 0.000000),
(0.920635, 1.000000, 1.000000), (0.936508, 1.000000, 1.000000),
(0.952381, 0.000000, 0.000000), (1.0, 0.0, 0.0))}
_spring_data = {'red': ((0., 1., 1.), (1.0, 1.0, 1.0)),
'green': ((0., 0., 0.), (1.0, 1.0, 1.0)),
'blue': ((0., 1., 1.), (1.0, 0.0, 0.0))}
_summer_data = {'red': ((0., 0., 0.), (1.0, 1.0, 1.0)),
'green': ((0., 0.5, 0.5), (1.0, 1.0, 1.0)),
'blue': ((0., 0.4, 0.4), (1.0, 0.4, 0.4))}
_winter_data = {'red': ((0., 0., 0.), (1.0, 0.0, 0.0)),
'green': ((0., 0., 0.), (1.0, 1.0, 1.0)),
'blue': ((0., 1., 1.), (1.0, 0.5, 0.5))}
_spectral_data = {'red': [(0.0, 0.0, 0.0), (0.05, 0.4667, 0.4667),
(0.10, 0.5333, 0.5333), (0.15, 0.0, 0.0),
(0.20, 0.0, 0.0), (0.25, 0.0, 0.0),
(0.30, 0.0, 0.0), (0.35, 0.0, 0.0),
(0.40, 0.0, 0.0), (0.45, 0.0, 0.0),
(0.50, 0.0, 0.0), (0.55, 0.0, 0.0),
(0.60, 0.0, 0.0), (0.65, 0.7333, 0.7333),
(0.70, 0.9333, 0.9333), (0.75, 1.0, 1.0),
(0.80, 1.0, 1.0), (0.85, 1.0, 1.0),
(0.90, 0.8667, 0.8667), (0.95, 0.80, 0.80),
(1.0, 0.80, 0.80)],
'green': [(0.0, 0.0, 0.0), (0.05, 0.0, 0.0),
(0.10, 0.0, 0.0), (0.15, 0.0, 0.0),
(0.20, 0.0, 0.0), (0.25, 0.4667, 0.4667),
(0.30, 0.6000, 0.6000), (0.35, 0.6667, 0.6667),
(0.40, 0.6667, 0.6667), (0.45, 0.6000, 0.6000),
(0.50, 0.7333, 0.7333), (0.55, 0.8667, 0.8667),
(0.60, 1.0, 1.0), (0.65, 1.0, 1.0),
(0.70, 0.9333, 0.9333), (0.75, 0.8000, 0.8000),
(0.80, 0.6000, 0.6000), (0.85, 0.0, 0.0),
(0.90, 0.0, 0.0), (0.95, 0.0, 0.0),
(1.0, 0.80, 0.80)],
'blue': [(0.0, 0.0, 0.0), (0.05, 0.5333, 0.5333),
(0.10, 0.6000, 0.6000), (0.15, 0.6667, 0.6667),
(0.20, 0.8667, 0.8667), (0.25, 0.8667, 0.8667),
(0.30, 0.8667, 0.8667), (0.35, 0.6667, 0.6667),
(0.40, 0.5333, 0.5333), (0.45, 0.0, 0.0),
(0.5, 0.0, 0.0), (0.55, 0.0, 0.0),
(0.60, 0.0, 0.0), (0.65, 0.0, 0.0),
(0.70, 0.0, 0.0), (0.75, 0.0, 0.0),
(0.80, 0.0, 0.0), (0.85, 0.0, 0.0),
(0.90, 0.0, 0.0), (0.95, 0.0, 0.0),
(1.0, 0.80, 0.80)]}
datad = {
'autumn': _autumn_data,
'bone': _bone_data,
'binary': _binary_data,
'cool': _cool_data,
'copper': _copper_data,
'flag': _flag_data,
'gray' : _gray_data,
'hot': _hot_data,
'hsv': _hsv_data,
'jet' : _jet_data,
'pink': _pink_data,
'prism': _prism_data,
'spring': _spring_data,
'summer': _summer_data,
'winter': _winter_data,
'spectral': _spectral_data
}
# 34 colormaps based on color specifications and designs
# developed by Cynthia Brewer (http://colorbrewer.org).
# The ColorBrewer palettes have been included under the terms
# of an Apache-stype license (for details, see the file
# LICENSE_COLORBREWER in the license directory of the matplotlib
# source distribution).
_Accent_data = {'blue': [(0.0, 0.49803921580314636,
0.49803921580314636), (0.14285714285714285, 0.83137255907058716,
0.83137255907058716), (0.2857142857142857, 0.52549022436141968,
0.52549022436141968), (0.42857142857142855, 0.60000002384185791,
0.60000002384185791), (0.5714285714285714, 0.69019609689712524,
0.69019609689712524), (0.7142857142857143, 0.49803921580314636,
0.49803921580314636), (0.8571428571428571, 0.090196080505847931,
0.090196080505847931), (1.0, 0.40000000596046448,
0.40000000596046448)],
'green': [(0.0, 0.78823530673980713, 0.78823530673980713),
(0.14285714285714285, 0.68235296010971069, 0.68235296010971069),
(0.2857142857142857, 0.75294119119644165, 0.75294119119644165),
(0.42857142857142855, 1.0, 1.0), (0.5714285714285714,
0.42352941632270813, 0.42352941632270813), (0.7142857142857143,
0.0078431377187371254, 0.0078431377187371254),
(0.8571428571428571, 0.35686275362968445, 0.35686275362968445),
(1.0, 0.40000000596046448, 0.40000000596046448)],
'red': [(0.0, 0.49803921580314636, 0.49803921580314636),
(0.14285714285714285, 0.7450980544090271, 0.7450980544090271),
(0.2857142857142857, 0.99215686321258545, 0.99215686321258545),
(0.42857142857142855, 1.0, 1.0), (0.5714285714285714,
0.21960784494876862, 0.21960784494876862), (0.7142857142857143,
0.94117647409439087, 0.94117647409439087), (0.8571428571428571,
0.74901962280273438, 0.74901962280273438), (1.0,
0.40000000596046448, 0.40000000596046448)]}
_Blues_data = {'blue': [(0.0, 1.0, 1.0), (0.125, 0.9686274528503418,
0.9686274528503418), (0.25, 0.93725490570068359, 0.93725490570068359),
(0.375, 0.88235294818878174, 0.88235294818878174), (0.5,
0.83921569585800171, 0.83921569585800171), (0.625, 0.7764706015586853,
0.7764706015586853), (0.75, 0.70980393886566162, 0.70980393886566162),
(0.875, 0.61176472902297974, 0.61176472902297974), (1.0,
0.41960784792900085, 0.41960784792900085)],
'green': [(0.0, 0.9843137264251709, 0.9843137264251709), (0.125,
0.92156863212585449, 0.92156863212585449), (0.25,
0.85882353782653809, 0.85882353782653809), (0.375,
0.7921568751335144, 0.7921568751335144), (0.5,
0.68235296010971069, 0.68235296010971069), (0.625,
0.57254904508590698, 0.57254904508590698), (0.75,
0.44313725829124451, 0.44313725829124451), (0.875,
0.31764706969261169, 0.31764706969261169), (1.0,
0.18823529779911041, 0.18823529779911041)],
'red': [(0.0, 0.9686274528503418, 0.9686274528503418), (0.125,
0.87058824300765991, 0.87058824300765991), (0.25,
0.7764706015586853, 0.7764706015586853), (0.375,
0.61960786581039429, 0.61960786581039429), (0.5,
0.41960784792900085, 0.41960784792900085), (0.625,
0.25882354378700256, 0.25882354378700256), (0.75,
0.12941177189350128, 0.12941177189350128), (0.875,
0.031372550874948502, 0.031372550874948502), (1.0,
0.031372550874948502, 0.031372550874948502)]}
_BrBG_data = {'blue': [(0.0, 0.019607843831181526,
0.019607843831181526), (0.10000000000000001, 0.039215687662363052,
0.039215687662363052), (0.20000000000000001, 0.17647059261798859,
0.17647059261798859), (0.29999999999999999, 0.49019607901573181,
0.49019607901573181), (0.40000000000000002, 0.76470589637756348,
0.76470589637756348), (0.5, 0.96078431606292725, 0.96078431606292725),
(0.59999999999999998, 0.89803922176361084, 0.89803922176361084),
(0.69999999999999996, 0.75686275959014893, 0.75686275959014893),
(0.80000000000000004, 0.56078433990478516, 0.56078433990478516),
(0.90000000000000002, 0.36862745881080627, 0.36862745881080627), (1.0,
0.18823529779911041, 0.18823529779911041)],
'green': [(0.0, 0.18823529779911041, 0.18823529779911041),
(0.10000000000000001, 0.31764706969261169, 0.31764706969261169),
(0.20000000000000001, 0.5058823823928833, 0.5058823823928833),
(0.29999999999999999, 0.7607843279838562, 0.7607843279838562),
(0.40000000000000002, 0.90980392694473267, 0.90980392694473267),
(0.5, 0.96078431606292725, 0.96078431606292725),
(0.59999999999999998, 0.91764706373214722, 0.91764706373214722),
(0.69999999999999996, 0.80392158031463623, 0.80392158031463623),
(0.80000000000000004, 0.59215688705444336, 0.59215688705444336),
(0.90000000000000002, 0.40000000596046448, 0.40000000596046448),
(1.0, 0.23529411852359772, 0.23529411852359772)],
'red': [(0.0, 0.32941177487373352, 0.32941177487373352),
(0.10000000000000001, 0.54901963472366333, 0.54901963472366333),
(0.20000000000000001, 0.74901962280273438, 0.74901962280273438),
(0.29999999999999999, 0.87450981140136719, 0.87450981140136719),
(0.40000000000000002, 0.96470588445663452, 0.96470588445663452),
(0.5, 0.96078431606292725, 0.96078431606292725),
(0.59999999999999998, 0.78039216995239258, 0.78039216995239258),
(0.69999999999999996, 0.50196081399917603, 0.50196081399917603),
(0.80000000000000004, 0.20784313976764679, 0.20784313976764679),
(0.90000000000000002, 0.0039215688593685627,
0.0039215688593685627), (1.0, 0.0, 0.0)]}
_BuGn_data = {'blue': [(0.0, 0.99215686321258545,
0.99215686321258545), (0.125, 0.97647058963775635,
0.97647058963775635), (0.25, 0.90196079015731812,
0.90196079015731812), (0.375, 0.78823530673980713,
0.78823530673980713), (0.5, 0.64313727617263794, 0.64313727617263794),
(0.625, 0.46274510025978088, 0.46274510025978088), (0.75,
0.27058824896812439, 0.27058824896812439), (0.875,
0.17254902422428131, 0.17254902422428131), (1.0, 0.10588235408067703,
0.10588235408067703)],
'green': [(0.0, 0.98823529481887817, 0.98823529481887817), (0.125,
0.96078431606292725, 0.96078431606292725), (0.25,
0.92549020051956177, 0.92549020051956177), (0.375,
0.84705883264541626, 0.84705883264541626), (0.5,
0.7607843279838562, 0.7607843279838562), (0.625,
0.68235296010971069, 0.68235296010971069), (0.75,
0.54509806632995605, 0.54509806632995605), (0.875,
0.42745098471641541, 0.42745098471641541), (1.0,
0.26666668057441711, 0.26666668057441711)], 'red': [(0.0,
0.9686274528503418, 0.9686274528503418), (0.125,
0.89803922176361084, 0.89803922176361084), (0.25,
0.80000001192092896, 0.80000001192092896), (0.375,
0.60000002384185791, 0.60000002384185791), (0.5,
0.40000000596046448, 0.40000000596046448), (0.625,
0.25490197539329529, 0.25490197539329529), (0.75,
0.13725490868091583, 0.13725490868091583), (0.875, 0.0, 0.0),
(1.0, 0.0, 0.0)]}
_BuPu_data = {'blue': [(0.0, 0.99215686321258545,
0.99215686321258545), (0.125, 0.95686274766921997,
0.95686274766921997), (0.25, 0.90196079015731812,
0.90196079015731812), (0.375, 0.85490196943283081,
0.85490196943283081), (0.5, 0.7764706015586853, 0.7764706015586853),
(0.625, 0.69411766529083252, 0.69411766529083252), (0.75,
0.61568629741668701, 0.61568629741668701), (0.875,
0.48627451062202454, 0.48627451062202454), (1.0, 0.29411765933036804,
0.29411765933036804)],
'green': [(0.0, 0.98823529481887817, 0.98823529481887817), (0.125,
0.92549020051956177, 0.92549020051956177), (0.25,
0.82745099067687988, 0.82745099067687988), (0.375,
0.73725491762161255, 0.73725491762161255), (0.5,
0.58823531866073608, 0.58823531866073608), (0.625,
0.41960784792900085, 0.41960784792900085), (0.75,
0.25490197539329529, 0.25490197539329529), (0.875,
0.058823529630899429, 0.058823529630899429), (1.0, 0.0, 0.0)],
'red': [(0.0, 0.9686274528503418, 0.9686274528503418), (0.125,
0.87843137979507446, 0.87843137979507446), (0.25,
0.74901962280273438, 0.74901962280273438), (0.375,
0.61960786581039429, 0.61960786581039429), (0.5,
0.54901963472366333, 0.54901963472366333), (0.625,
0.54901963472366333, 0.54901963472366333), (0.75,
0.53333336114883423, 0.53333336114883423), (0.875,
0.5058823823928833, 0.5058823823928833), (1.0,
0.30196079611778259, 0.30196079611778259)]}
_Dark2_data = {'blue': [(0.0, 0.46666666865348816,
0.46666666865348816), (0.14285714285714285, 0.0078431377187371254,
0.0078431377187371254), (0.2857142857142857, 0.70196080207824707,
0.70196080207824707), (0.42857142857142855, 0.54117649793624878,
0.54117649793624878), (0.5714285714285714, 0.11764705926179886,
0.11764705926179886), (0.7142857142857143, 0.0078431377187371254,
0.0078431377187371254), (0.8571428571428571, 0.11372549086809158,
0.11372549086809158), (1.0, 0.40000000596046448,
0.40000000596046448)],
'green': [(0.0, 0.61960786581039429, 0.61960786581039429),
(0.14285714285714285, 0.37254902720451355, 0.37254902720451355),
(0.2857142857142857, 0.43921568989753723, 0.43921568989753723),
(0.42857142857142855, 0.16078431904315948, 0.16078431904315948),
(0.5714285714285714, 0.65098041296005249, 0.65098041296005249),
(0.7142857142857143, 0.67058825492858887, 0.67058825492858887),
(0.8571428571428571, 0.46274510025978088, 0.46274510025978088),
(1.0, 0.40000000596046448, 0.40000000596046448)],
'red': [(0.0, 0.10588235408067703, 0.10588235408067703),
(0.14285714285714285, 0.85098040103912354, 0.85098040103912354),
(0.2857142857142857, 0.45882353186607361, 0.45882353186607361),
(0.42857142857142855, 0.90588235855102539, 0.90588235855102539),
(0.5714285714285714, 0.40000000596046448, 0.40000000596046448),
(0.7142857142857143, 0.90196079015731812, 0.90196079015731812),
(0.8571428571428571, 0.65098041296005249, 0.65098041296005249),
(1.0, 0.40000000596046448, 0.40000000596046448)]}
_GnBu_data = {'blue': [(0.0, 0.94117647409439087,
0.94117647409439087), (0.125, 0.85882353782653809,
0.85882353782653809), (0.25, 0.77254903316497803,
0.77254903316497803), (0.375, 0.70980393886566162,
0.70980393886566162), (0.5, 0.76862746477127075, 0.76862746477127075),
(0.625, 0.82745099067687988, 0.82745099067687988), (0.75,
0.7450980544090271, 0.7450980544090271), (0.875, 0.67450982332229614,
0.67450982332229614), (1.0, 0.5058823823928833, 0.5058823823928833)],
'green': [(0.0, 0.98823529481887817, 0.98823529481887817), (0.125,
0.9529411792755127, 0.9529411792755127), (0.25,
0.92156863212585449, 0.92156863212585449), (0.375,
0.86666667461395264, 0.86666667461395264), (0.5,
0.80000001192092896, 0.80000001192092896), (0.625,
0.70196080207824707, 0.70196080207824707), (0.75,
0.54901963472366333, 0.54901963472366333), (0.875,
0.40784314274787903, 0.40784314274787903), (1.0,
0.25098040699958801, 0.25098040699958801)],
'red': [(0.0, 0.9686274528503418, 0.9686274528503418), (0.125,
0.87843137979507446, 0.87843137979507446), (0.25,
0.80000001192092896, 0.80000001192092896), (0.375,
0.65882354974746704, 0.65882354974746704), (0.5,
0.48235294222831726, 0.48235294222831726), (0.625,
0.30588236451148987, 0.30588236451148987), (0.75,
0.16862745583057404, 0.16862745583057404), (0.875,
0.031372550874948502, 0.031372550874948502), (1.0,
0.031372550874948502, 0.031372550874948502)]}
_Greens_data = {'blue': [(0.0, 0.96078431606292725,
0.96078431606292725), (0.125, 0.87843137979507446,
0.87843137979507446), (0.25, 0.75294119119644165,
0.75294119119644165), (0.375, 0.60784316062927246,
0.60784316062927246), (0.5, 0.46274510025978088, 0.46274510025978088),
(0.625, 0.364705890417099, 0.364705890417099), (0.75,
0.27058824896812439, 0.27058824896812439), (0.875,
0.17254902422428131, 0.17254902422428131), (1.0, 0.10588235408067703,
0.10588235408067703)],
'green': [(0.0, 0.98823529481887817, 0.98823529481887817), (0.125,
0.96078431606292725, 0.96078431606292725), (0.25,
0.91372549533843994, 0.91372549533843994), (0.375,
0.85098040103912354, 0.85098040103912354), (0.5,
0.76862746477127075, 0.76862746477127075), (0.625,
0.67058825492858887, 0.67058825492858887), (0.75,
0.54509806632995605, 0.54509806632995605), (0.875,
0.42745098471641541, 0.42745098471641541), (1.0,
0.26666668057441711, 0.26666668057441711)],
'red': [(0.0, 0.9686274528503418, 0.9686274528503418), (0.125,
0.89803922176361084, 0.89803922176361084), (0.25,
0.78039216995239258, 0.78039216995239258), (0.375,
0.63137257099151611, 0.63137257099151611), (0.5,
0.45490196347236633, 0.45490196347236633), (0.625,
0.25490197539329529, 0.25490197539329529), (0.75,
0.13725490868091583, 0.13725490868091583), (0.875, 0.0, 0.0),
(1.0, 0.0, 0.0)]}
_Greys_data = {'blue': [(0.0, 1.0, 1.0), (0.125, 0.94117647409439087,
0.94117647409439087), (0.25, 0.85098040103912354,
0.85098040103912354), (0.375, 0.74117648601531982,
0.74117648601531982), (0.5, 0.58823531866073608, 0.58823531866073608),
(0.625, 0.45098039507865906, 0.45098039507865906), (0.75,
0.32156863808631897, 0.32156863808631897), (0.875,
0.14509804546833038, 0.14509804546833038), (1.0, 0.0, 0.0)],
'green': [(0.0, 1.0, 1.0), (0.125, 0.94117647409439087,
0.94117647409439087), (0.25, 0.85098040103912354,
0.85098040103912354), (0.375, 0.74117648601531982,
0.74117648601531982), (0.5, 0.58823531866073608,
0.58823531866073608), (0.625, 0.45098039507865906,
0.45098039507865906), (0.75, 0.32156863808631897,
0.32156863808631897), (0.875, 0.14509804546833038,
0.14509804546833038), (1.0, 0.0, 0.0)],
'red': [(0.0, 1.0, 1.0), (0.125, 0.94117647409439087,
0.94117647409439087), (0.25, 0.85098040103912354,
0.85098040103912354), (0.375, 0.74117648601531982,
0.74117648601531982), (0.5, 0.58823531866073608,
0.58823531866073608), (0.625, 0.45098039507865906,
0.45098039507865906), (0.75, 0.32156863808631897,
0.32156863808631897), (0.875, 0.14509804546833038,
0.14509804546833038), (1.0, 0.0, 0.0)]}
_Oranges_data = {'blue': [(0.0, 0.92156863212585449,
0.92156863212585449), (0.125, 0.80784314870834351,
0.80784314870834351), (0.25, 0.63529413938522339,
0.63529413938522339), (0.375, 0.41960784792900085,
0.41960784792900085), (0.5, 0.23529411852359772, 0.23529411852359772),
(0.625, 0.074509806931018829, 0.074509806931018829), (0.75,
0.0039215688593685627, 0.0039215688593685627), (0.875,
0.011764706112444401, 0.011764706112444401), (1.0,
0.015686275437474251, 0.015686275437474251)],
'green': [(0.0, 0.96078431606292725, 0.96078431606292725), (0.125,
0.90196079015731812, 0.90196079015731812), (0.25,
0.81568628549575806, 0.81568628549575806), (0.375,
0.68235296010971069, 0.68235296010971069), (0.5,
0.55294120311737061, 0.55294120311737061), (0.625,
0.4117647111415863, 0.4117647111415863), (0.75,
0.28235295414924622, 0.28235295414924622), (0.875,
0.21176470816135406, 0.21176470816135406), (1.0,
0.15294118225574493, 0.15294118225574493)],
'red': [(0.0, 1.0, 1.0), (0.125, 0.99607843160629272,
0.99607843160629272), (0.25, 0.99215686321258545,
0.99215686321258545), (0.375, 0.99215686321258545,
0.99215686321258545), (0.5, 0.99215686321258545,
0.99215686321258545), (0.625, 0.94509804248809814,
0.94509804248809814), (0.75, 0.85098040103912354,
0.85098040103912354), (0.875, 0.65098041296005249,
0.65098041296005249), (1.0, 0.49803921580314636,
0.49803921580314636)]}
_OrRd_data = {'blue': [(0.0, 0.92549020051956177,
0.92549020051956177), (0.125, 0.78431373834609985,
0.78431373834609985), (0.25, 0.61960786581039429,
0.61960786581039429), (0.375, 0.51764708757400513,
0.51764708757400513), (0.5, 0.3490196168422699, 0.3490196168422699),
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0.12156862765550613, 0.12156862765550613), (0.875, 0.0, 0.0), (1.0,
0.0, 0.0)],
'green': [(0.0, 0.9686274528503418, 0.9686274528503418), (0.125,
0.90980392694473267, 0.90980392694473267), (0.25,
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0.55294120311737061, 0.55294120311737061), (0.625,
0.3960784375667572, 0.3960784375667572), (0.75,
0.18823529779911041, 0.18823529779911041), (0.875, 0.0, 0.0),
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'red': [(0.0, 1.0, 1.0), (0.125, 0.99607843160629272,
0.99607843160629272), (0.25, 0.99215686321258545,
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0.98823529481887817), (0.625, 0.93725490570068359,
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0.70196080207824707), (1.0, 0.49803921580314636,
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_Paired_data = {'blue': [(0.0, 0.89019608497619629,
0.89019608497619629), (0.090909090909090912, 0.70588237047195435,
0.70588237047195435), (0.18181818181818182, 0.54117649793624878,
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(0.90909090909090906, 0.60000002384185791, 0.60000002384185791), (1.0,
0.15686275064945221, 0.15686275064945221)],
'green': [(0.0, 0.80784314870834351, 0.80784314870834351),
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0.3490196168422699)],
'red': [(0.0, 0.65098041296005249, 0.65098041296005249),
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1.0, 1.0), (1.0, 0.69411766529083252, 0.69411766529083252)]}
_Pastel1_data = {'blue': [(0.0, 0.68235296010971069,
0.68235296010971069), (0.125, 0.89019608497619629,
0.89019608497619629), (0.25, 0.77254903316497803,
0.77254903316497803), (0.375, 0.89411765336990356,
0.89411765336990356), (0.5, 0.65098041296005249, 0.65098041296005249),
(0.625, 0.80000001192092896, 0.80000001192092896), (0.75,
0.74117648601531982, 0.74117648601531982), (0.875,
0.92549020051956177, 0.92549020051956177), (1.0, 0.94901961088180542,
0.94901961088180542)],
'green': [(0.0, 0.70588237047195435, 0.70588237047195435), (0.125,
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0.85098040103912354, 0.85098040103912354), (0.625, 1.0, 1.0),
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0.85490196943283081, 0.85490196943283081), (1.0,
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'red': [(0.0, 0.9843137264251709, 0.9843137264251709), (0.125,
0.70196080207824707, 0.70196080207824707), (0.25,
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0.87058824300765991, 0.87058824300765991), (0.5,
0.99607843160629272, 0.99607843160629272), (0.625, 1.0, 1.0),
(0.75, 0.89803922176361084, 0.89803922176361084), (0.875,
0.99215686321258545, 0.99215686321258545), (1.0,
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_Pastel2_data = {'blue': [(0.0, 0.80392158031463623,
0.80392158031463623), (0.14285714285714285, 0.67450982332229614,
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0.89411765336990356), (0.5714285714285714, 0.78823530673980713,
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0.68235296010971069), (0.8571428571428571, 0.80000001192092896,
0.80000001192092896), (1.0, 0.80000001192092896,
0.80000001192092896)],
'green': [(0.0, 0.88627451658248901, 0.88627451658248901),
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'red': [(0.0, 0.70196080207824707, 0.70196080207824707),
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0.94509804248809814, 0.94509804248809814), (1.0,
0.80000001192092896, 0.80000001192092896)]}
_PiYG_data = {'blue': [(0.0, 0.32156863808631897,
0.32156863808631897), (0.10000000000000001, 0.49019607901573181,
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'red': [(0.0, 0.55686277151107788, 0.55686277151107788),
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_PRGn_data = {'blue': [(0.0, 0.29411765933036804,
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'green': [(0.0, 0.0, 0.0), (0.10000000000000001,
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'red': [(0.0, 0.25098040699958801, 0.25098040699958801),
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_PuBu_data = {'blue': [(0.0, 0.9843137264251709, 0.9843137264251709),
(0.125, 0.94901961088180542, 0.94901961088180542), (0.25,
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0.34509804844856262)],
'green': [(0.0, 0.9686274528503418, 0.9686274528503418), (0.125,
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'red': [(0.0, 1.0, 1.0), (0.125, 0.92549020051956177,
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_PuBuGn_data = {'blue': [(0.0, 0.9843137264251709,
0.9843137264251709), (0.125, 0.94117647409439087,
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'green': [(0.0, 0.9686274528503418, 0.9686274528503418), (0.125,
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'red': [(0.0, 1.0, 1.0), (0.125, 0.92549020051956177,
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_PuOr_data = {'blue': [(0.0, 0.031372550874948502,
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'red': [(0.0, 0.49803921580314636, 0.49803921580314636),
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(0.90000000000000002, 0.32941177487373352, 0.32941177487373352),
(1.0, 0.17647059261798859, 0.17647059261798859)]}
_PuRd_data = {'blue': [(0.0, 0.97647058963775635,
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0.78039216995239258), (0.5, 0.69019609689712524, 0.69019609689712524),
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0.12156862765550613)],
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'red': [(0.0, 0.9686274528503418, 0.9686274528503418), (0.125,
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0.59607845544815063, 0.59607845544815063), (1.0,
0.40392157435417175, 0.40392157435417175)]}
_Purples_data = {'blue': [(0.0, 0.99215686321258545,
0.99215686321258545), (0.125, 0.96078431606292725,
0.96078431606292725), (0.25, 0.92156863212585449,
0.92156863212585449), (0.375, 0.86274510622024536,
0.86274510622024536), (0.5, 0.78431373834609985, 0.78431373834609985),
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0.49019607901573181)],
'green': [(0.0, 0.9843137264251709, 0.9843137264251709), (0.125,
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0.24705882370471954, 0.24705882370471954)]}
_RdBu_data = {'blue': [(0.0, 0.12156862765550613,
0.12156862765550613), (0.10000000000000001, 0.16862745583057404,
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0.18823529779911041, 0.18823529779911041)],
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_RdGy_data = {'blue': [(0.0, 0.12156862765550613,
0.12156862765550613), (0.10000000000000001, 0.16862745583057404,
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0.30196079611778259, 0.30196079611778259), (1.0, 0.10196078568696976,
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(1.0, 0.10196078568696976, 0.10196078568696976)],
'red': [(0.0, 0.40392157435417175, 0.40392157435417175),
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0.87843137979507446), (0.69999999999999996, 0.729411780834198,
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_RdPu_data = {'blue': [(0.0, 0.9529411792755127, 0.9529411792755127),
(0.125, 0.86666667461395264, 0.86666667461395264), (0.25,
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0.46666666865348816), (1.0, 0.41568627953529358,
0.41568627953529358)],
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_RdYlBu_data = {'blue': [(0.0, 0.14901961386203766,
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0.45882353186607361, 0.45882353186607361), (1.0,
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1.0), (0.60000002384185791, 0.87843137979507446,
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_RdYlGn_data = {'blue': [(0.0, 0.14901961386203766,
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'red': [(0.0, 0.64705884456634521, 0.64705884456634521),
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_Reds_data = {'blue': [(0.0, 0.94117647409439087,
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_Set1_data = {'blue': [(0.0, 0.10980392247438431,
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_Set2_data = {'blue': [(0.0, 0.64705884456634521,
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(0.42857142857142855, 0.90588235855102539, 0.90588235855102539),
(0.5714285714285714, 0.65098041296005249, 0.65098041296005249),
(0.7142857142857143, 1.0, 1.0), (0.8571428571428571,
0.89803922176361084, 0.89803922176361084), (1.0,
0.70196080207824707, 0.70196080207824707)]}
_Set3_data = {'blue': [(0.0, 0.78039216995239258,
0.78039216995239258), (0.090909090909090912, 0.70196080207824707,
0.70196080207824707), (0.18181818181818182, 0.85490196943283081,
0.85490196943283081), (0.27272727272727271, 0.44705882668495178,
0.44705882668495178), (0.36363636363636365, 0.82745099067687988,
0.82745099067687988), (0.45454545454545453, 0.38431373238563538,
0.38431373238563538), (0.54545454545454541, 0.4117647111415863,
0.4117647111415863), (0.63636363636363635, 0.89803922176361084,
0.89803922176361084), (0.72727272727272729, 0.85098040103912354,
0.85098040103912354), (0.81818181818181823, 0.74117648601531982,
0.74117648601531982), (0.90909090909090906, 0.77254903316497803,
0.77254903316497803), (1.0, 0.43529412150382996,
0.43529412150382996)],
'green': [(0.0, 0.82745099067687988, 0.82745099067687988),
(0.090909090909090912, 1.0, 1.0), (0.18181818181818182,
0.729411780834198, 0.729411780834198), (0.27272727272727271,
0.50196081399917603, 0.50196081399917603), (0.36363636363636365,
0.69411766529083252, 0.69411766529083252), (0.45454545454545453,
0.70588237047195435, 0.70588237047195435), (0.54545454545454541,
0.87058824300765991, 0.87058824300765991), (0.63636363636363635,
0.80392158031463623, 0.80392158031463623), (0.72727272727272729,
0.85098040103912354, 0.85098040103912354), (0.81818181818181823,
0.50196081399917603, 0.50196081399917603), (0.90909090909090906,
0.92156863212585449, 0.92156863212585449), (1.0,
0.92941176891326904, 0.92941176891326904)],
'red': [(0.0, 0.55294120311737061, 0.55294120311737061),
(0.090909090909090912, 1.0, 1.0), (0.18181818181818182,
0.7450980544090271, 0.7450980544090271), (0.27272727272727271,
0.9843137264251709, 0.9843137264251709), (0.36363636363636365,
0.50196081399917603, 0.50196081399917603), (0.45454545454545453,
0.99215686321258545, 0.99215686321258545), (0.54545454545454541,
0.70196080207824707, 0.70196080207824707), (0.63636363636363635,
0.98823529481887817, 0.98823529481887817), (0.72727272727272729,
0.85098040103912354, 0.85098040103912354), (0.81818181818181823,
0.73725491762161255, 0.73725491762161255), (0.90909090909090906,
0.80000001192092896, 0.80000001192092896), (1.0, 1.0, 1.0)]}
_Spectral_data = {'blue': [(0.0, 0.25882354378700256,
0.25882354378700256), (0.10000000000000001, 0.30980393290519714,
0.30980393290519714), (0.20000000000000001, 0.26274511218070984,
0.26274511218070984), (0.29999999999999999, 0.3803921639919281,
0.3803921639919281), (0.40000000000000002, 0.54509806632995605,
0.54509806632995605), (0.5, 0.74901962280273438, 0.74901962280273438),
(0.59999999999999998, 0.59607845544815063, 0.59607845544815063),
(0.69999999999999996, 0.64313727617263794, 0.64313727617263794),
(0.80000000000000004, 0.64705884456634521, 0.64705884456634521),
(0.90000000000000002, 0.74117648601531982, 0.74117648601531982), (1.0,
0.63529413938522339, 0.63529413938522339)],
'green': [(0.0, 0.0039215688593685627, 0.0039215688593685627),
(0.10000000000000001, 0.24313725531101227, 0.24313725531101227),
(0.20000000000000001, 0.42745098471641541, 0.42745098471641541),
(0.29999999999999999, 0.68235296010971069, 0.68235296010971069),
(0.40000000000000002, 0.87843137979507446, 0.87843137979507446),
(0.5, 1.0, 1.0), (0.59999999999999998, 0.96078431606292725,
0.96078431606292725), (0.69999999999999996, 0.86666667461395264,
0.86666667461395264), (0.80000000000000004, 0.7607843279838562,
0.7607843279838562), (0.90000000000000002, 0.53333336114883423,
0.53333336114883423), (1.0, 0.30980393290519714,
0.30980393290519714)],
'red': [(0.0, 0.61960786581039429, 0.61960786581039429),
(0.10000000000000001, 0.83529412746429443, 0.83529412746429443),
(0.20000000000000001, 0.95686274766921997, 0.95686274766921997),
(0.29999999999999999, 0.99215686321258545, 0.99215686321258545),
(0.40000000000000002, 0.99607843160629272, 0.99607843160629272),
(0.5, 1.0, 1.0), (0.59999999999999998, 0.90196079015731812,
0.90196079015731812), (0.69999999999999996, 0.67058825492858887,
0.67058825492858887), (0.80000000000000004, 0.40000000596046448,
0.40000000596046448), (0.90000000000000002, 0.19607843458652496,
0.19607843458652496), (1.0, 0.36862745881080627,
0.36862745881080627)]}
_YlGn_data = {'blue': [(0.0, 0.89803922176361084,
0.89803922176361084), (0.125, 0.72549021244049072,
0.72549021244049072), (0.25, 0.63921570777893066,
0.63921570777893066), (0.375, 0.55686277151107788,
0.55686277151107788), (0.5, 0.47450980544090271, 0.47450980544090271),
(0.625, 0.364705890417099, 0.364705890417099), (0.75,
0.26274511218070984, 0.26274511218070984), (0.875,
0.21568627655506134, 0.21568627655506134), (1.0, 0.16078431904315948,
0.16078431904315948)],
'green': [(0.0, 1.0, 1.0), (0.125, 0.98823529481887817,
0.98823529481887817), (0.25, 0.94117647409439087,
0.94117647409439087), (0.375, 0.86666667461395264,
0.86666667461395264), (0.5, 0.7764706015586853,
0.7764706015586853), (0.625, 0.67058825492858887,
0.67058825492858887), (0.75, 0.51764708757400513,
0.51764708757400513), (0.875, 0.40784314274787903,
0.40784314274787903), (1.0, 0.27058824896812439,
0.27058824896812439)],
'red': [(0.0, 1.0, 1.0), (0.125, 0.9686274528503418,
0.9686274528503418), (0.25, 0.85098040103912354,
0.85098040103912354), (0.375, 0.67843139171600342,
0.67843139171600342), (0.5, 0.47058823704719543,
0.47058823704719543), (0.625, 0.25490197539329529,
0.25490197539329529), (0.75, 0.13725490868091583,
0.13725490868091583), (0.875, 0.0, 0.0), (1.0, 0.0, 0.0)]}
_YlGnBu_data = {'blue': [(0.0, 0.85098040103912354,
0.85098040103912354), (0.125, 0.69411766529083252,
0.69411766529083252), (0.25, 0.70588237047195435,
0.70588237047195435), (0.375, 0.73333334922790527,
0.73333334922790527), (0.5, 0.76862746477127075, 0.76862746477127075),
(0.625, 0.75294119119644165, 0.75294119119644165), (0.75,
0.65882354974746704, 0.65882354974746704), (0.875,
0.58039218187332153, 0.58039218187332153), (1.0, 0.34509804844856262,
0.34509804844856262)],
'green': [(0.0, 1.0, 1.0), (0.125, 0.97254902124404907,
0.97254902124404907), (0.25, 0.91372549533843994,
0.91372549533843994), (0.375, 0.80392158031463623,
0.80392158031463623), (0.5, 0.7137255072593689,
0.7137255072593689), (0.625, 0.56862747669219971,
0.56862747669219971), (0.75, 0.36862745881080627,
0.36862745881080627), (0.875, 0.20392157137393951,
0.20392157137393951), (1.0, 0.11372549086809158,
0.11372549086809158)],
'red': [(0.0, 1.0, 1.0), (0.125, 0.92941176891326904,
0.92941176891326904), (0.25, 0.78039216995239258,
0.78039216995239258), (0.375, 0.49803921580314636,
0.49803921580314636), (0.5, 0.25490197539329529,
0.25490197539329529), (0.625, 0.11372549086809158,
0.11372549086809158), (0.75, 0.13333334028720856,
0.13333334028720856), (0.875, 0.14509804546833038,
0.14509804546833038), (1.0, 0.031372550874948502,
0.031372550874948502)]}
_YlOrBr_data = {'blue': [(0.0, 0.89803922176361084,
0.89803922176361084), (0.125, 0.73725491762161255,
0.73725491762161255), (0.25, 0.56862747669219971,
0.56862747669219971), (0.375, 0.30980393290519714,
0.30980393290519714), (0.5, 0.16078431904315948, 0.16078431904315948),
(0.625, 0.078431375324726105, 0.078431375324726105), (0.75,
0.0078431377187371254, 0.0078431377187371254), (0.875,
0.015686275437474251, 0.015686275437474251), (1.0,
0.023529412224888802, 0.023529412224888802)],
'green': [(0.0, 1.0, 1.0), (0.125, 0.9686274528503418,
0.9686274528503418), (0.25, 0.89019608497619629,
0.89019608497619629), (0.375, 0.76862746477127075,
0.76862746477127075), (0.5, 0.60000002384185791,
0.60000002384185791), (0.625, 0.43921568989753723,
0.43921568989753723), (0.75, 0.29803922772407532,
0.29803922772407532), (0.875, 0.20392157137393951,
0.20392157137393951), (1.0, 0.14509804546833038,
0.14509804546833038)],
'red': [(0.0, 1.0, 1.0), (0.125, 1.0, 1.0), (0.25,
0.99607843160629272, 0.99607843160629272), (0.375,
0.99607843160629272, 0.99607843160629272), (0.5,
0.99607843160629272, 0.99607843160629272), (0.625,
0.92549020051956177, 0.92549020051956177), (0.75,
0.80000001192092896, 0.80000001192092896), (0.875,
0.60000002384185791, 0.60000002384185791), (1.0,
0.40000000596046448, 0.40000000596046448)]}
_YlOrRd_data = {'blue': [(0.0, 0.80000001192092896,
0.80000001192092896), (0.125, 0.62745100259780884,
0.62745100259780884), (0.25, 0.46274510025978088,
0.46274510025978088), (0.375, 0.29803922772407532,
0.29803922772407532), (0.5, 0.23529411852359772, 0.23529411852359772),
(0.625, 0.16470588743686676, 0.16470588743686676), (0.75,
0.10980392247438431, 0.10980392247438431), (0.875,
0.14901961386203766, 0.14901961386203766), (1.0, 0.14901961386203766,
0.14901961386203766)],
'green': [(0.0, 1.0, 1.0), (0.125, 0.92941176891326904,
0.92941176891326904), (0.25, 0.85098040103912354,
0.85098040103912354), (0.375, 0.69803923368453979,
0.69803923368453979), (0.5, 0.55294120311737061,
0.55294120311737061), (0.625, 0.30588236451148987,
0.30588236451148987), (0.75, 0.10196078568696976,
0.10196078568696976), (0.875, 0.0, 0.0), (1.0, 0.0, 0.0)],
'red': [(0.0, 1.0, 1.0), (0.125, 1.0, 1.0), (0.25,
0.99607843160629272, 0.99607843160629272), (0.375,
0.99607843160629272, 0.99607843160629272), (0.5,
0.99215686321258545, 0.99215686321258545), (0.625,
0.98823529481887817, 0.98823529481887817), (0.75,
0.89019608497619629, 0.89019608497619629), (0.875,
0.74117648601531982, 0.74117648601531982), (1.0,
0.50196081399917603, 0.50196081399917603)]}
# The next 7 palettes are from the Yorick scientific visalisation package,
# an evolution of the GIST package, both by David H. Munro.
# They are released under a BSD-like license (see LICENSE_YORICK in
# the license directory of the matplotlib source distribution).
_gist_earth_data = {'blue': [(0.0, 0.0, 0.0), (0.0042016808874905109,
0.18039216101169586, 0.18039216101169586), (0.0084033617749810219,
0.22745098173618317, 0.22745098173618317), (0.012605042196810246,
0.27058824896812439, 0.27058824896812439), (0.016806723549962044,
0.31764706969261169, 0.31764706969261169), (0.021008403971791267,
0.36078432202339172, 0.36078432202339172), (0.025210084393620491,
0.40784314274787903, 0.40784314274787903), (0.029411764815449715,
0.45490196347236633, 0.45490196347236633), (0.033613447099924088,
0.45490196347236633, 0.45490196347236633), (0.037815127521753311,
0.45490196347236633, 0.45490196347236633), (0.042016807943582535,
0.45490196347236633, 0.45490196347236633), (0.046218488365411758,
0.45490196347236633, 0.45490196347236633), (0.050420168787240982,
0.45882353186607361, 0.45882353186607361), (0.054621849209070206,
0.45882353186607361, 0.45882353186607361), (0.058823529630899429,
0.45882353186607361, 0.45882353186607361), (0.063025213778018951,
0.45882353186607361, 0.45882353186607361), (0.067226894199848175,
0.45882353186607361, 0.45882353186607361), (0.071428574621677399,
0.46274510025978088, 0.46274510025978088), (0.075630255043506622,
0.46274510025978088, 0.46274510025978088), (0.079831935465335846,
0.46274510025978088, 0.46274510025978088), (0.08403361588716507,
0.46274510025978088, 0.46274510025978088), (0.088235296308994293,
0.46274510025978088, 0.46274510025978088), (0.092436976730823517,
0.46666666865348816, 0.46666666865348816), (0.09663865715265274,
0.46666666865348816, 0.46666666865348816), (0.10084033757448196,
0.46666666865348816, 0.46666666865348816), (0.10504201799631119,
0.46666666865348816, 0.46666666865348816), (0.10924369841814041,
0.46666666865348816, 0.46666666865348816), (0.11344537883996964,
0.47058823704719543, 0.47058823704719543), (0.11764705926179886,
0.47058823704719543, 0.47058823704719543), (0.12184873968362808,
0.47058823704719543, 0.47058823704719543), (0.1260504275560379,
0.47058823704719543, 0.47058823704719543), (0.13025210797786713,
0.47058823704719543, 0.47058823704719543), (0.13445378839969635,
0.47450980544090271, 0.47450980544090271), (0.13865546882152557,
0.47450980544090271, 0.47450980544090271), (0.1428571492433548,
0.47450980544090271, 0.47450980544090271), (0.14705882966518402,
0.47450980544090271, 0.47450980544090271), (0.15126051008701324,
0.47450980544090271, 0.47450980544090271), (0.15546219050884247,
0.47843137383460999, 0.47843137383460999), (0.15966387093067169,
0.47843137383460999, 0.47843137383460999), (0.16386555135250092,
0.47843137383460999, 0.47843137383460999), (0.16806723177433014,
0.47843137383460999, 0.47843137383460999), (0.17226891219615936,
0.47843137383460999, 0.47843137383460999), (0.17647059261798859,
0.48235294222831726, 0.48235294222831726), (0.18067227303981781,
0.48235294222831726, 0.48235294222831726), (0.18487395346164703,
0.48235294222831726, 0.48235294222831726), (0.18907563388347626,
0.48235294222831726, 0.48235294222831726), (0.19327731430530548,
0.48235294222831726, 0.48235294222831726), (0.1974789947271347,
0.48627451062202454, 0.48627451062202454), (0.20168067514896393,
0.48627451062202454, 0.48627451062202454), (0.20588235557079315,
0.48627451062202454, 0.48627451062202454), (0.21008403599262238,
0.48627451062202454, 0.48627451062202454), (0.2142857164144516,
0.48627451062202454, 0.48627451062202454), (0.21848739683628082,
0.49019607901573181, 0.49019607901573181), (0.22268907725811005,
0.49019607901573181, 0.49019607901573181), (0.22689075767993927,
0.49019607901573181, 0.49019607901573181), (0.23109243810176849,
0.49019607901573181, 0.49019607901573181), (0.23529411852359772,
0.49019607901573181, 0.49019607901573181), (0.23949579894542694,
0.49411764740943909, 0.49411764740943909), (0.24369747936725616,
0.49411764740943909, 0.49411764740943909), (0.24789915978908539,
0.49411764740943909, 0.49411764740943909), (0.25210085511207581,
0.49411764740943909, 0.49411764740943909), (0.25630253553390503,
0.49411764740943909, 0.49411764740943909), (0.26050421595573425,
0.49803921580314636, 0.49803921580314636), (0.26470589637756348,
0.49803921580314636, 0.49803921580314636), (0.2689075767993927,
0.49803921580314636, 0.49803921580314636), (0.27310925722122192,
0.49803921580314636, 0.49803921580314636), (0.27731093764305115,
0.49803921580314636, 0.49803921580314636), (0.28151261806488037,
0.50196081399917603, 0.50196081399917603), (0.28571429848670959,
0.49411764740943909, 0.49411764740943909), (0.28991597890853882,
0.49019607901573181, 0.49019607901573181), (0.29411765933036804,
0.48627451062202454, 0.48627451062202454), (0.29831933975219727,
0.48235294222831726, 0.48235294222831726), (0.30252102017402649,
0.47843137383460999, 0.47843137383460999), (0.30672270059585571,
0.47058823704719543, 0.47058823704719543), (0.31092438101768494,
0.46666666865348816, 0.46666666865348816), (0.31512606143951416,
0.46274510025978088, 0.46274510025978088), (0.31932774186134338,
0.45882353186607361, 0.45882353186607361), (0.32352942228317261,
0.45098039507865906, 0.45098039507865906), (0.32773110270500183,
0.44705882668495178, 0.44705882668495178), (0.33193278312683105,
0.44313725829124451, 0.44313725829124451), (0.33613446354866028,
0.43529412150382996, 0.43529412150382996), (0.3403361439704895,
0.43137255311012268, 0.43137255311012268), (0.34453782439231873,
0.42745098471641541, 0.42745098471641541), (0.34873950481414795,
0.42352941632270813, 0.42352941632270813), (0.35294118523597717,
0.41568627953529358, 0.41568627953529358), (0.3571428656578064,
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0.16470588743686676, 0.16470588743686676), (0.84453779458999634,
0.16078431904315948, 0.16078431904315948), (0.84873950481414795,
0.15686275064945221, 0.15686275064945221), (0.85294115543365479,
0.14901961386203766, 0.14901961386203766), (0.8571428656578064,
0.14509804546833038, 0.14509804546833038), (0.86134451627731323,
0.14117647707462311, 0.14117647707462311), (0.86554622650146484,
0.13725490868091583, 0.13725490868091583), (0.86974787712097168,
0.13333334028720856, 0.13333334028720856), (0.87394958734512329,
0.12941177189350128, 0.12941177189350128), (0.87815123796463013,
0.12549020349979401, 0.12549020349979401), (0.88235294818878174,
0.12156862765550613, 0.12156862765550613), (0.88655459880828857,
0.11764705926179886, 0.11764705926179886), (0.89075630903244019,
0.11372549086809158, 0.11372549086809158), (0.89495795965194702,
0.10980392247438431, 0.10980392247438431), (0.89915966987609863,
0.10588235408067703, 0.10588235408067703), (0.90336132049560547,
0.10196078568696976, 0.10196078568696976), (0.90756303071975708,
0.098039217293262482, 0.098039217293262482), (0.91176468133926392,
0.094117648899555206, 0.094117648899555206), (0.91596639156341553,
0.086274512112140656, 0.086274512112140656), (0.92016804218292236,
0.08235294371843338, 0.08235294371843338), (0.92436975240707397,
0.078431375324726105, 0.078431375324726105), (0.92857140302658081,
0.074509806931018829, 0.074509806931018829), (0.93277311325073242,
0.070588238537311554, 0.070588238537311554), (0.93697476387023926,
0.066666670143604279, 0.066666670143604279), (0.94117647409439087,
0.062745101749897003, 0.062745101749897003), (0.94537812471389771,
0.058823529630899429, 0.058823529630899429), (0.94957983493804932,
0.054901961237192154, 0.054901961237192154), (0.95378148555755615,
0.050980392843484879, 0.050980392843484879), (0.95798319578170776,
0.047058824449777603, 0.047058824449777603), (0.9621848464012146,
0.043137256056070328, 0.043137256056070328), (0.96638655662536621,
0.039215687662363052, 0.039215687662363052), (0.97058820724487305,
0.035294119268655777, 0.035294119268655777), (0.97478991746902466,
0.031372550874948502, 0.031372550874948502), (0.97899156808853149,
0.023529412224888802, 0.023529412224888802), (0.98319327831268311,
0.019607843831181526, 0.019607843831181526), (0.98739492893218994,
0.015686275437474251, 0.015686275437474251), (0.99159663915634155,
0.011764706112444401, 0.011764706112444401), (0.99579828977584839,
0.0078431377187371254, 0.0078431377187371254), (1.0,
0.0039215688593685627, 0.0039215688593685627)]}
datad['Accent'] = _Accent_data
datad['Blues'] = _Blues_data
datad['BrBG'] = _BrBG_data
datad['BuGn'] = _BuGn_data
datad['BuPu'] = _BuPu_data
datad['Dark2'] = _Dark2_data
datad['GnBu'] = _GnBu_data
datad['Greens'] = _Greens_data
datad['Greys'] = _Greys_data
datad['Oranges'] = _Oranges_data
datad['OrRd'] = _OrRd_data
datad['Paired'] = _Paired_data
datad['Pastel1'] = _Pastel1_data
datad['Pastel2'] = _Pastel2_data
datad['PiYG'] = _PiYG_data
datad['PRGn'] = _PRGn_data
datad['PuBu'] = _PuBu_data
datad['PuBuGn'] = _PuBuGn_data
datad['PuOr'] = _PuOr_data
datad['PuRd'] = _PuRd_data
datad['Purples'] = _Purples_data
datad['RdBu'] = _RdBu_data
datad['RdGy'] = _RdGy_data
datad['RdPu'] = _RdPu_data
datad['RdYlBu'] = _RdYlBu_data
datad['RdYlGn'] = _RdYlGn_data
datad['Reds'] = _Reds_data
datad['Set1'] = _Set1_data
datad['Set2'] = _Set2_data
datad['Set3'] = _Set3_data
datad['Spectral'] = _Spectral_data
datad['YlGn'] = _YlGn_data
datad['YlGnBu'] = _YlGnBu_data
datad['YlOrBr'] = _YlOrBr_data
datad['YlOrRd'] = _YlOrRd_data
datad['gist_earth'] = _gist_earth_data
datad['gist_gray'] = _gist_gray_data
datad['gist_heat'] = _gist_heat_data
datad['gist_ncar'] = _gist_ncar_data
datad['gist_rainbow'] = _gist_rainbow_data
datad['gist_stern'] = _gist_stern_data
datad['gist_yarg'] = _gist_yarg_data
guiqwt-2.3.1/guiqwt/image.py 0000666 0000000 0000000 00000301750 12147410202 014512 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2010 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
# pylint: disable=C0103
"""
guiqwt.image
------------
The `image` module provides image-related objects and functions:
* :py:class:`guiqwt.image.ImagePlot`: a 2D curve and image plotting widget,
derived from :py:class:`guiqwt.curve.CurvePlot`
* :py:class:`guiqwt.image.ImageItem`: simple images
* :py:class:`guiqwt.image.TrImageItem`: images supporting arbitrary
affine transform
* :py:class:`guiqwt.image.XYImageItem`: images with non-linear X/Y axes
* :py:class:`guiqwt.image.Histogram2DItem`: 2D histogram
* :py:class:`guiqwt.image.ImageFilterItem`: rectangular filtering area
that may be resized and moved onto the processed image
* :py:func:`guiqwt.image.assemble_imageitems`
* :py:func:`guiqwt.image.get_plot_source_rect`
* :py:func:`guiqwt.image.get_image_from_plot`
``ImageItem``, ``TrImageItem``, ``XYImageItem``, ``Histogram2DItem`` and
``ImageFilterItem`` objects are plot items (derived from QwtPlotItem) that
may be displayed on a :py:class:`guiqwt.image.ImagePlot` plotting widget.
.. seealso::
Module :py:mod:`guiqwt.curve`
Module providing curve-related plot items and plotting widgets
Module :py:mod:`guiqwt.plot`
Module providing ready-to-use curve and image plotting widgets and
dialog boxes
Examples
~~~~~~~~
Create a basic image plotting widget:
* before creating any widget, a `QApplication` must be instantiated (that
is a `Qt` internal requirement):
>>> import guidata
>>> app = guidata.qapplication()
* that is mostly equivalent to the following (the only difference is that
the `guidata` helper function also installs the `Qt` translation
corresponding to the system locale):
>>> from PyQt4.QtGui import QApplication
>>> app = QApplication([])
* now that a `QApplication` object exists, we may create the plotting
widget:
>>> from guiqwt.image import ImagePlot
>>> plot = ImagePlot(title="Example")
Generate random data for testing purpose:
>>> import numpy as np
>>> data = np.random.rand(100, 100)
Create a simple image item:
* from the associated plot item class (e.g. `XYImageItem` to create
an image with non-linear X/Y axes): the item properties are then
assigned by creating the appropriate style parameters object
(e.g. :py:class:`guiqwt.styles.ImageParam)
>>> from guiqwt.curve import ImageItem
>>> from guiqwt.styles import ImageParam
>>> param = ImageParam()
>>> param.label = 'My image'
>>> image = ImageItem(param)
>>> image.set_data(data)
* or using the `plot item builder` (see :py:func:`guiqwt.builder.make`):
>>> from guiqwt.builder import make
>>> image = make.image(data, title='My image')
Attach the image to the plotting widget:
>>> plot.add_item(image)
Display the plotting widget:
>>> plot.show()
>>> app.exec_()
Reference
~~~~~~~~~
.. autoclass:: ImagePlot
:members:
:inherited-members:
.. autoclass:: BaseImageItem
:members:
:inherited-members:
.. autoclass:: RawImageItem
:members:
:inherited-members:
.. autoclass:: ImageItem
:members:
:inherited-members:
.. autoclass:: TrImageItem
:members:
:inherited-members:
.. autoclass:: XYImageItem
:members:
:inherited-members:
.. autoclass:: RGBImageItem
:members:
:inherited-members:
.. autoclass:: MaskedImageItem
:members:
:inherited-members:
.. autoclass:: ImageFilterItem
:members:
:inherited-members:
.. autoclass:: XYImageFilterItem
:members:
:inherited-members:
.. autoclass:: Histogram2DItem
:members:
:inherited-members:
.. autofunction:: assemble_imageitems
.. autofunction:: get_plot_qrect
.. autofunction:: get_image_from_plot
"""
#FIXME: traceback in scaler when adding here 'from __future__ import division'
from __future__ import print_function, unicode_literals
import sys
import os.path as osp
from math import fabs
import numpy as np
from guidata.qt.QtGui import QColor, QImage
from guidata.qt.QtCore import QRectF, QPointF, QRect, QPoint
from guidata.utils import assert_interfaces_valid, update_dataset
from guidata.py3compat import getcwd, is_text_string
# Local imports
from guiqwt.transitional import QwtPlotItem, QwtDoubleInterval
from guiqwt.config import _
from guiqwt.interfaces import (IBasePlotItem, IBaseImageItem, IHistDataSource,
IImageItemType, ITrackableItemType,
IColormapImageItemType, IVoiImageItemType,
ISerializableType, ICSImageItemType,
IExportROIImageItemType, IStatsImageItemType)
from guiqwt.curve import CurvePlot, CurveItem, PolygonMapItem
from guiqwt.colormap import FULLRANGE, get_cmap, get_cmap_name
from guiqwt.styles import (ImageParam, ImageAxesParam, TrImageParam,
RGBImageParam, MaskedImageParam, XYImageParam,
RawImageParam)
from guiqwt.shapes import RectangleShape
from guiqwt import io
from guiqwt.signals import SIG_ITEM_MOVED, SIG_LUT_CHANGED, SIG_MASK_CHANGED
from guiqwt.geometry import translate, scale, rotate, colvector
from guiqwt.baseplot import canvas_to_axes, axes_to_canvas
stderr = sys.stderr
try:
from guiqwt.histogram2d import histogram2d, histogram2d_func
from guiqwt._scaler import (_histogram, _scale_tr, _scale_xy, _scale_rect,
_scale_quads,
INTERP_NEAREST, INTERP_LINEAR, INTERP_AA)
except ImportError:
print(("Module 'guiqwt.image': missing C extension"), file=sys.stderr)
print(("try running :"
"python setup.py build_ext --inplace -c mingw32" ), file=sys.stderr)
raise
LUT_SIZE = 1024
LUT_MAX = float(LUT_SIZE-1)
def _nanmin(data):
if isinstance(data, np.ma.MaskedArray):
data = data.data
if data.dtype.name in ("float32", "float64", "float128"):
return np.nanmin(data)
else:
return data.min()
def _nanmax(data):
if isinstance(data, np.ma.MaskedArray):
data = data.data
if data.dtype.name in ("float32", "float64", "float128"):
return np.nanmax(data)
else:
return data.max()
def pixelround(x, corner=None):
"""
Return pixel index (int) from pixel coordinate (float)
corner: None (not a corner), 'TL' (top-left corner),
'BR' (bottom-right corner)
"""
assert corner is None or corner in ('TL', 'BR')
if corner is None:
return np.floor(x)
elif corner == 'BR':
return np.ceil(x)
elif corner == 'TL':
return np.floor(x)
#==============================================================================
# Base image item class
#==============================================================================
class BaseImageItem(QwtPlotItem):
__implements__ = (IBasePlotItem, IBaseImageItem, IHistDataSource,
IVoiImageItemType, ICSImageItemType, IStatsImageItemType,
IExportROIImageItemType)
_can_select = True
_can_resize = False
_can_move = False
_can_rotate = False
_readonly = False
_private = False
def __init__(self, data=None, param=None):
super(BaseImageItem, self).__init__()
self.bg_qcolor = QColor()
self.bounds = QRectF()
# BaseImageItem needs:
# param.background
# param.alpha_mask
# param.alpha
# param.colormap
if param is None:
param = self.get_default_param()
self.imageparam = param
self.selected = False
self.data = None
self.min = 0.0
self.max = 1.0
self.cmap_table = None
self.cmap = None
self.colormap_axis = None
self._offscreen = np.array((1, 1), np.uint32)
# Linear interpolation is the default interpolation algorithm:
# it's almost as fast as 'nearest pixel' method but far smoother
self.interpolate = None
self.set_interpolation(INTERP_LINEAR)
x1, y1 = self.bounds.left(), self.bounds.top()
x2, y2 = self.bounds.right(), self.bounds.bottom()
self.border_rect = RectangleShape(x1, y1, x2, y2)
self.border_rect.set_style("plot", "shape/imageborder")
# A, B, Background, Colormap
self.lut = (1.0, 0.0, None, np.zeros((LUT_SIZE, ), np.uint32))
self.set_lut_range([0., 255.])
self.setItemAttribute(QwtPlotItem.AutoScale)
self.setItemAttribute(QwtPlotItem.Legend, True)
self._filename = None # The file this image comes from
self.histogram_cache = None
if data is not None:
self.set_data(data)
self.imageparam.update_image(self)
#---- Public API ----------------------------------------------------------
def get_default_param(self):
"""Return instance of the default imageparam DataSet"""
raise NotImplementedError
def set_filename(self, fname):
self._filename = fname
def get_filename(self):
fname = self._filename
if fname is not None and not osp.isfile(fname):
other_try = osp.join(getcwd(), osp.basename(fname))
if osp.isfile(other_try):
self.set_filename(other_try)
fname = other_try
return fname
def get_filter(self, filterobj, filterparam):
"""Provides a filter object over this image's content"""
raise NotImplementedError
def get_pixel_coordinates(self, xplot, yplot):
"""
Return (image) pixel coordinates
Transform the plot coordinates (arbitrary plot Z-axis unit)
into the image coordinates (pixel unit)
Rounding is necessary to obtain array indexes from these coordinates
"""
return xplot, yplot
def get_plot_coordinates(self, xpixel, ypixel):
"""
Return plot coordinates
Transform the image coordinates (pixel unit)
into the plot coordinates (arbitrary plot Z-axis unit)
"""
return xpixel, ypixel
def get_closest_indexes(self, x, y, corner=None):
"""
Return closest image pixel indexes
corner: None (not a corner), 'TL' (top-left corner),
'BR' (bottom-right corner)
"""
x, y = self.get_pixel_coordinates(x, y)
i_max = self.data.shape[1]-1
j_max = self.data.shape[0]-1
if corner == 'BR':
i_max += 1
j_max += 1
i = max([0, min([i_max, int(pixelround(x, corner))])])
j = max([0, min([j_max, int(pixelround(y, corner))])])
return i, j
def get_closest_index_rect(self, x0, y0, x1, y1):
"""
Return closest image rectangular pixel area index bounds
Avoid returning empty rectangular area (return 1x1 pixel area instead)
Handle reversed/not-reversed Y-axis orientation
"""
ix0, iy0 = self.get_closest_indexes(x0, y0, corner='TL')
ix1, iy1 = self.get_closest_indexes(x1, y1, corner='BR')
if ix0 > ix1:
ix1, ix0 = ix0, ix1
if iy0 > iy1:
iy1, iy0 = iy0, iy1
if ix0 == ix1:
ix1 += 1
if iy0 == iy1:
iy1 += 1
return ix0, iy0, ix1, iy1
def align_rectangular_shape(self, shape):
"""Align rectangular shape to image pixels"""
ix0, iy0, ix1, iy1 = self.get_closest_index_rect(*shape.get_rect())
x0, y0 = self.get_plot_coordinates(ix0, iy0)
x1, y1 = self.get_plot_coordinates(ix1, iy1)
shape.set_rect(x0, y0, x1, y1)
def get_closest_pixel_indexes(self, x, y):
"""
Return closest pixel indexes
Instead of returning indexes of an image pixel like the method
'get_closest_indexes', this method returns the indexes of the
closest pixel which is not necessarily on the image itself
(i.e. indexes may be outside image index bounds: negative or
superior than the image dimension)
Note: this is *not* the same as retrieving the canvas pixel
coordinates (which depends on the zoom level)
"""
x, y = self.get_pixel_coordinates(x, y)
i = int(pixelround(x))
j = int(pixelround(y))
return i, j
def get_x_values(self, i0, i1):
return np.arange(i0, i1)
def get_y_values(self, j0, j1):
return np.arange(j0, j1)
def get_data(self, x0, y0, x1=None, y1=None):
"""
Return image data
Arguments:
x0, y0 [, x1, y1]
Return image level at coordinates (x0,y0)
If x1,y1 are specified:
return image levels (np.ndarray) in rectangular area (x0,y0,x1,y1)
"""
i0, j0 = self.get_closest_indexes(x0, y0)
if x1 is None or y1 is None:
return self.data[j0, i0]
else:
i1, j1 = self.get_closest_indexes(x1, y1)
i1 += 1
j1 += 1
return (self.get_x_values(i0, i1), self.get_y_values(j0, j1),
self.data[j0:j1, i0:i1])
def get_closest_coordinates(self, x, y):
"""Return closest image pixel coordinates"""
return self.get_closest_indexes(x, y)
def get_coordinates_label(self, xc, yc):
title = self.title().text()
z = self.get_data(xc, yc)
return "%s:
x = %d
y = %d
z = %g" % (title, xc, yc, z)
def set_background_color(self, qcolor):
#mask = np.uint32(255*self.imageparam.alpha+0.5).clip(0,255) << 24
self.bg_qcolor = qcolor
a, b, _bg, cmap = self.lut
if qcolor is None:
self.lut = (a, b, None, cmap)
else:
self.lut = (a, b, np.uint32(QColor(qcolor).rgb() & 0xffffff), cmap)
def set_color_map(self, name_or_table):
if name_or_table is self.cmap_table:
# This avoids rebuilding the LUT all the time
return
if is_text_string(name_or_table):
table = get_cmap(name_or_table)
else:
table = name_or_table
self.cmap_table = table
self.cmap = table.colorTable(FULLRANGE)
cmap_a = self.lut[3]
alpha = self.imageparam.alpha
alpha_mask = self.imageparam.alpha_mask
for i in range(LUT_SIZE):
if alpha_mask:
pix_alpha = alpha*(i/float(LUT_SIZE-1))
else:
pix_alpha = alpha
alpha_channel = np.uint32(255*pix_alpha+0.5).clip(0, 255) << 24
cmap_a[i] = np.uint32((table.rgb(FULLRANGE, i/LUT_MAX))
& 0xffffff) | alpha_channel
plot = self.plot()
if plot:
plot.update_colormap_axis(self)
def get_color_map(self):
return self.cmap_table
def get_color_map_name(self):
return get_cmap_name(self.get_color_map())
def set_interpolation(self, interp_mode, size=None):
"""
Set image interpolation mode
interp_mode: INTERP_NEAREST, INTERP_LINEAR, INTERP_AA
size (integer): (for anti-aliasing only) AA matrix size
"""
if interp_mode in (INTERP_NEAREST, INTERP_LINEAR):
self.interpolate = (interp_mode,)
if interp_mode == INTERP_AA:
aa = np.ones((size, size), self.data.dtype)
self.interpolate = (interp_mode, aa)
def get_interpolation(self):
"""Get interpolation mode"""
return self.interpolate
def set_lut_range(self, lut_range):
"""
Set LUT transform range
*lut_range* is a tuple: (min, max)
"""
self.min, self.max = lut_range
_a, _b, bg, cmap = self.lut
if self.max == self.min:
self.lut = (LUT_MAX, self.min, bg, cmap)
else:
self.lut = (LUT_MAX/(self.max-self.min),
-LUT_MAX*self.min/(self.max-self.min),
bg, cmap)
def get_lut_range(self):
"""Return the LUT transform range tuple: (min, max)"""
return self.min, self.max
def get_lut_range_full(self):
"""Return full dynamic range"""
return _nanmin(self.data), _nanmax(self.data)
def get_lut_range_max(self):
"""Get maximum range for this dataset"""
kind = self.data.dtype.kind
if kind in np.typecodes['AllFloat']:
info = np.finfo(kind)
else:
info = np.iinfo(kind)
return info.min, info.max
def update_border(self):
"""Update image border rectangle to fit image shape"""
bounds = self.boundingRect().getCoords()
self.border_rect.set_rect(*bounds)
def draw_border(self, painter, xMap, yMap, canvasRect):
"""Draw image border rectangle"""
self.border_rect.draw(painter, xMap, yMap, canvasRect)
def draw_image(self, painter, canvasRect, src_rect, dst_rect, xMap, yMap):
"""
Draw image with painter on canvasRect
src_rect and dst_rect are coord tuples
(xleft, ytop, xright, ybottom)
"""
dest = _scale_rect(self.data, src_rect, self._offscreen, dst_rect,
self.lut, self.interpolate)
qrect = QRectF(QPointF(dest[0], dest[1]), QPointF(dest[2], dest[3]))
painter.drawImage(qrect, self._image, qrect)
def export_roi(self, src_rect, dst_rect, dst_image,
apply_lut=False, apply_interpolation=False,
original_resolution=False):
"""Export Region Of Interest to array"""
if apply_lut:
a, b, _bg, _cmap = self.lut
else:
a, b = 1., 0.
interp = self.interpolate if apply_interpolation else (INTERP_NEAREST,)
_scale_rect(self.data, src_rect, dst_image, dst_rect,
(a, b, None), interp)
#---- QwtPlotItem API -----------------------------------------------------
def draw(self, painter, xMap, yMap, canvasRect):
x1, y1, x2, y2 = canvasRect.getCoords()
i1, i2 = xMap.invTransform(x1), xMap.invTransform(x2)
j1, j2 = yMap.invTransform(y1), yMap.invTransform(y2)
xl, yt, xr, yb = self.boundingRect().getCoords()
dest = (xMap.transform(xl), yMap.transform(yt),
xMap.transform(xr)+1, yMap.transform(yb)+1)
W = canvasRect.right()
H = canvasRect.bottom()
if self._offscreen.shape != (H, W):
self._offscreen = np.empty((H, W), np.uint32)
self._image = QImage(self._offscreen, W, H, QImage.Format_ARGB32)
self._image.ndarray = self._offscreen
self.notify_new_offscreen()
self.draw_image(painter, canvasRect, (i1, j1, i2, j2),
dest, xMap, yMap)
self.draw_border(painter, xMap, yMap, canvasRect)
def boundingRect(self):
return self.bounds
def notify_new_offscreen(self):
# callback for those derived classes who need it
pass
def setVisible(self, enable):
if not enable:
self.unselect() # when hiding item, unselect it
if enable:
self.border_rect.show()
else:
self.border_rect.hide()
QwtPlotItem.setVisible(self, enable)
#---- IBasePlotItem API ----------------------------------------------------
def types(self):
return (IImageItemType, IVoiImageItemType, IColormapImageItemType,
ITrackableItemType, ICSImageItemType, IExportROIImageItemType,
IStatsImageItemType, IStatsImageItemType)
def set_readonly(self, state):
"""Set object readonly state"""
self._readonly = state
def is_readonly(self):
"""Return object readonly state"""
return self._readonly
def set_private(self, state):
"""Set object as private"""
self._private = state
def is_private(self):
"""Return True if object is private"""
return self._private
def select(self):
"""Select item"""
self.selected = True
self.border_rect.select()
def unselect(self):
"""Unselect item"""
self.selected = False
self.border_rect.unselect()
def is_empty(self):
"""Return True if item data is empty"""
return self.data is None or self.data.size == 0
def set_selectable(self, state):
"""Set item selectable state"""
self._can_select = state
def set_resizable(self, state):
"""Set item resizable state
(or any action triggered when moving an handle, e.g. rotation)"""
self._can_resize = state
def set_movable(self, state):
"""Set item movable state"""
self._can_move = state
def set_rotatable(self, state):
"""Set item rotatable state"""
self._can_rotate = state
def can_select(self):
return self._can_select
def can_resize(self):
return self._can_resize
def can_move(self):
return self._can_move
def can_rotate(self):
return self._can_rotate
def hit_test(self, pos):
plot = self.plot()
ax = self.xAxis()
ay = self.yAxis()
return self.border_rect.poly_hit_test(plot, ax, ay, pos)
def get_item_parameters(self, itemparams):
itemparams.add("ShapeParam", self, self.border_rect.shapeparam)
def set_item_parameters(self, itemparams):
self.border_rect.set_item_parameters(itemparams)
def move_local_point_to(self, handle, pos, ctrl=None):
"""Move a handle as returned by hit_test to the new position pos
ctrl: True if
".join([
"%s" % self.imageparam.label,
"%sx%s %s" % (self.data.shape[1],
self.data.shape[0],
str(self.data.dtype)),
"",
"%s ≤ x ≤ %s" % (xfmt % x0, xfmt % x1),
"%s ≤ y ≤ %s" % (yfmt % y0, yfmt % y1),
"%s ≤ z ≤ %s" % (zfmt % data.min(),
zfmt % data.max()),
"‹z› = " + zfmt % data.mean(),
"σ(z) = " + zfmt % data.std(),
])
def get_xsection(self, y0, apply_lut=False):
"""Return cross section along x-axis at y=y0"""
_ix, iy = self.get_closest_indexes(0, y0)
return (self.get_x_values(0, self.data.shape[1]),
self.__process_cross_section(self.data[iy,:], apply_lut))
def get_ysection(self, x0, apply_lut=False):
"""Return cross section along y-axis at x=x0"""
ix, _iy = self.get_closest_indexes(x0, 0)
return (self.get_y_values(0, self.data.shape[0]),
self.__process_cross_section(self.data[:, ix], apply_lut))
def get_average_xsection(self, x0, y0, x1, y1, apply_lut=False):
"""Return average cross section along x-axis"""
ix0, iy0, ix1, iy1 = self.get_closest_index_rect(x0, y0, x1, y1)
ydata = self.data[iy0:iy1, ix0:ix1].mean(axis=0)
return (self.get_x_values(ix0, ix1),
self.__process_cross_section(ydata, apply_lut))
def get_average_ysection(self, x0, y0, x1, y1, apply_lut=False):
"""Return average cross section along y-axis"""
ix0, iy0, ix1, iy1 = self.get_closest_index_rect(x0, y0, x1, y1)
ydata = self.data[iy0:iy1, ix0:ix1].mean(axis=1)
return (self.get_y_values(iy0, iy1),
self.__process_cross_section(ydata, apply_lut))
assert_interfaces_valid(BaseImageItem)
#==============================================================================
# Raw Image item (image item without scale)
#==============================================================================
class RawImageItem(BaseImageItem):
"""
Construct a simple image item
* data: 2D NumPy array
* param (optional): image parameters
(:py:class:`guiqwt.styles.RawImageParam` instance)
"""
__implements__ = (IBasePlotItem, IBaseImageItem, IHistDataSource,
IVoiImageItemType, ISerializableType)
#---- BaseImageItem API ---------------------------------------------------
def get_default_param(self):
"""Return instance of the default imageparam DataSet"""
return RawImageParam(_("Image"))
#---- Serialization methods -----------------------------------------------
def __reduce__(self):
fname = self.get_filename()
if fname is None:
fn_or_data = self.data
else:
fn_or_data = fname
state = self.imageparam, self.get_lut_range(), fn_or_data, self.z()
res = ( self.__class__, (), state )
return res
def __setstate__(self, state):
param, lut_range, fn_or_data, z = state
self.imageparam = param
if is_text_string(fn_or_data):
self.set_filename(fn_or_data)
self.load_data()
elif fn_or_data is not None: # should happen only with previous API
self.set_data(fn_or_data)
self.set_lut_range(lut_range)
self.setZ(z)
self.imageparam.update_image(self)
def serialize(self, writer):
"""Serialize object to HDF5 writer"""
fname = self.get_filename()
load_from_fname = fname is not None
data = None if load_from_fname else self.data
writer.write(load_from_fname, group_name='load_from_fname')
writer.write(fname, group_name='fname')
writer.write(data, group_name='Zdata')
writer.write(self.get_lut_range(), group_name='lut_range')
writer.write(self.z(), group_name='z')
self.imageparam.update_param(self)
writer.write(self.imageparam, group_name='imageparam')
def deserialize(self, reader):
"""Deserialize object from HDF5 reader"""
lut_range = reader.read(group_name='lut_range')
if reader.read(group_name='load_from_fname'):
self.set_filename(reader.read(group_name='fname',
func=reader.read_unicode))
self.load_data()
else:
data = reader.read(group_name='Zdata', func=reader.read_array)
self.set_data(data)
self.set_lut_range(lut_range)
self.setZ(reader.read('z'))
self.imageparam = self.get_default_param()
reader.read('imageparam', instance=self.imageparam)
self.imageparam.update_image(self)
#---- Public API ----------------------------------------------------------
def load_data(self, lut_range=None):
"""
Load data from *filename* and eventually apply specified lut_range
*filename* has been set using method 'set_filename'
"""
data = io.imread(self.get_filename(), to_grayscale=True)
self.set_data(data, lut_range=lut_range)
def set_data(self, data, lut_range=None):
"""
Set Image item data
* data: 2D NumPy array
* lut_range: LUT range -- tuple (levelmin, levelmax)
"""
if lut_range is not None:
_min, _max = lut_range
else:
_min, _max = _nanmin(data), _nanmax(data)
self.data = data
self.histogram_cache = None
self.update_bounds()
self.update_border()
self.set_lut_range([_min, _max])
def update_bounds(self):
if self.data is None:
return
self.bounds = QRectF(0, 0, self.data.shape[1], self.data.shape[0])
#---- IBasePlotItem API ---------------------------------------------------
def types(self):
return (IImageItemType, IVoiImageItemType, IColormapImageItemType,
ITrackableItemType, ICSImageItemType, ISerializableType,
IExportROIImageItemType, IStatsImageItemType)
def get_item_parameters(self, itemparams):
BaseImageItem.get_item_parameters(self, itemparams)
self.imageparam.update_param(self)
itemparams.add("ImageParam", self, self.imageparam)
def set_item_parameters(self, itemparams):
update_dataset(self.imageparam, itemparams.get("ImageParam"),
visible_only=True)
self.imageparam.update_image(self)
BaseImageItem.set_item_parameters(self, itemparams)
#---- IBaseImageItem API --------------------------------------------------
def can_setfullscale(self):
return True
def can_sethistogram(self):
return True
assert_interfaces_valid(RawImageItem)
#==============================================================================
# Image item
#==============================================================================
class ImageItem(RawImageItem):
"""
Construct a simple image item
* data: 2D NumPy array
* param (optional): image parameters
(:py:class:`guiqwt.styles.ImageParam` instance)
"""
__implements__ = (IBasePlotItem, IBaseImageItem, IHistDataSource,
IVoiImageItemType, IExportROIImageItemType)
def __init__(self, data=None, param=None):
self.xmin = None
self.xmax = None
self.ymin = None
self.ymax = None
super(ImageItem, self).__init__(data=data, param=param)
#---- BaseImageItem API ---------------------------------------------------
def get_default_param(self):
"""Return instance of the default imageparam DataSet"""
return ImageParam(_("Image"))
#---- Serialization methods -----------------------------------------------
def __reduce__(self):
fname = self.get_filename()
if fname is None:
fn_or_data = self.data
else:
fn_or_data = fname
(xmin, xmax), (ymin, ymax) = self.get_xdata(), self.get_ydata()
state = (self.imageparam, self.get_lut_range(), fn_or_data, self.z(),
xmin, xmax, ymin, ymax)
res = ( self.__class__, (), state )
return res
def __setstate__(self, state):
param, lut_range, fn_or_data, z, xmin, xmax, ymin, ymax = state
self.set_xdata(xmin, xmax)
self.set_ydata(ymin, ymax)
self.imageparam = param
if is_text_string(fn_or_data):
self.set_filename(fn_or_data)
self.load_data()
elif fn_or_data is not None: # should happen only with previous API
self.set_data(fn_or_data)
self.set_lut_range(lut_range)
self.setZ(z)
self.imageparam.update_image(self)
def serialize(self, writer):
"""Serialize object to HDF5 writer"""
super(ImageItem, self).serialize(writer)
(xmin, xmax), (ymin, ymax) = self.get_xdata(), self.get_ydata()
writer.write(xmin, group_name='xmin')
writer.write(xmax, group_name='xmax')
writer.write(ymin, group_name='ymin')
writer.write(ymax, group_name='ymax')
def deserialize(self, reader):
"""Deserialize object from HDF5 reader"""
super(ImageItem, self).deserialize(reader)
for attr in ('xmin', 'xmax', 'ymin', 'ymax'):
# Note: do not be tempted to write the symetric code in `serialize`
# because calling `get_xdata` and `get_ydata` is necessary
setattr(self, attr, reader.read(attr, func=reader.read_float))
#---- Public API ----------------------------------------------------------
def get_xdata(self):
"""Return (xmin, xmax)"""
xmin, xmax = self.xmin, self.xmax
if xmin is None:
xmin = 0.
if xmax is None:
xmax = self.data.shape[1]
return xmin, xmax
def get_ydata(self):
"""Return (ymin, ymax)"""
ymin, ymax = self.ymin, self.ymax
if ymin is None:
ymin = 0.
if ymax is None:
ymax = self.data.shape[0]
return ymin, ymax
def set_xdata(self, xmin=None, xmax=None):
self.xmin, self.xmax = xmin, xmax
def set_ydata(self, ymin=None, ymax=None):
self.ymin, self.ymax = ymin, ymax
def update_bounds(self):
if self.data is None:
return
(xmin, xmax), (ymin, ymax) = self.get_xdata(), self.get_ydata()
self.bounds = QRectF(QPointF(xmin, ymin), QPointF(xmax, ymax))
#---- BaseImageItem API ---------------------------------------------------
def get_pixel_coordinates(self, xplot, yplot):
"""Return (image) pixel coordinates (from plot coordinates)"""
(xmin, xmax), (ymin, ymax) = self.get_xdata(), self.get_ydata()
xpix = self.data.shape[1]*(xplot-xmin)/float(xmax-xmin)
ypix = self.data.shape[0]*(yplot-ymin)/float(ymax-ymin)
return xpix, ypix
def get_plot_coordinates(self, xpixel, ypixel):
"""Return plot coordinates (from image pixel coordinates)"""
(xmin, xmax), (ymin, ymax) = self.get_xdata(), self.get_ydata()
xplot = xmin+(xmax-xmin)*xpixel/float(self.data.shape[1])
yplot = ymin+(ymax-ymin)*ypixel/float(self.data.shape[0])
return xplot, yplot
def get_x_values(self, i0, i1):
xmin, xmax = self.get_xdata()
xfunc = lambda index: xmin+(xmax-xmin)*index/float(self.data.shape[1])
return np.linspace(xfunc(i0), xfunc(i1), i1-i0)
def get_y_values(self, j0, j1):
ymin, ymax = self.get_ydata()
yfunc = lambda index: ymin+(ymax-ymin)*index/float(self.data.shape[0])
return np.linspace(yfunc(j0), yfunc(j1), j1-j0)
def get_closest_coordinates(self, x, y):
"""Return closest image pixel coordinates"""
(xmin, xmax), (ymin, ymax) = self.get_xdata(), self.get_ydata()
i, j = self.get_closest_indexes(x, y)
xpix = np.linspace(xmin, xmax, self.data.shape[1]+1)
ypix = np.linspace(ymin, ymax, self.data.shape[0]+1)
return xpix[i], ypix[j]
def _rescale_src_rect(self, src_rect):
sxl, syt, sxr, syb = src_rect
xl, yt, xr, yb = self.boundingRect().getCoords()
H, W = self.data.shape[:2]
x0 = W*(sxl-xl)/(xr-xl)
x1 = W*(sxr-xl)/(xr-xl)
y0 = H*(syt-yt)/(yb-yt)
y1 = H*(syb-yt)/(yb-yt)
return x0, y0, x1, y1
def draw_image(self, painter, canvasRect, src_rect, dst_rect, xMap, yMap):
if self.data is None:
return
src2 = self._rescale_src_rect(src_rect)
dest = _scale_rect(self.data, src2, self._offscreen, dst_rect,
self.lut, self.interpolate)
qrect = QRectF(QPointF(dest[0], dest[1]), QPointF(dest[2], dest[3]))
painter.drawImage(qrect, self._image, qrect)
def export_roi(self, src_rect, dst_rect, dst_image,
apply_lut=False, apply_interpolation=False,
original_resolution=False):
"""Export Region Of Interest to array"""
if apply_lut:
a, b, _bg, _cmap = self.lut
else:
a, b = 1., 0.
interp = self.interpolate if apply_interpolation else (INTERP_NEAREST,)
_scale_rect(self.data, self._rescale_src_rect(src_rect),
dst_image, dst_rect, (a, b, None), interp)
assert_interfaces_valid(ImageItem)
#==============================================================================
# QuadGrid item
#==============================================================================
class QuadGridItem(RawImageItem):
"""
Construct a QuadGrid image
* X, Y, Z: A structured grid of quadrilaterals
each quad is defined by (X[i], Y[i]), (X[i], Y[i+1]),
(X[i+1], Y[i+1]), (X[i+1], Y[i])
* param (optional): image parameters (ImageParam instance)
"""
__implements__ = (IBasePlotItem, IBaseImageItem, IHistDataSource,
IVoiImageItemType)
def __init__(self, X, Y, Z, param=None):
assert X is not None
assert Y is not None
assert Z is not None
self.X = X
self.Y = Y
assert X.shape == Y.shape
assert Z.shape == X.shape
super(QuadGridItem, self).__init__(Z, param)
self.set_data(Z)
self.grid = 1
self.interpolate = (0, 0.5, 0.5)
self.imageparam.update_image(self)
#---- BaseImageItem API ---------------------------------------------------
def get_default_param(self):
"""Return instance of the default imageparam DataSet"""
return QuadGridParam(_("Quadrilaterals"))
def types(self):
return (IImageItemType, IVoiImageItemType, IColormapImageItemType,
ITrackableItemType)
def update_bounds(self):
xmin = self.X.min()
xmax = self.X.max()
ymin = self.Y.min()
ymax = self.Y.max()
self.bounds = QRectF(xmin, ymin, xmax-xmin, ymax-ymin)
def set_data(self, data, X=None, Y=None, lut_range=None):
"""
Set Image item data
* data: 2D NumPy array
* lut_range: LUT range -- tuple (levelmin, levelmax)
"""
if lut_range is not None:
_min, _max = lut_range
else:
_min, _max = _nanmin(data), _nanmax(data)
self.data = data
self.histogram_cache = None
if X is not None:
assert Y is not None
self.X = X
self.Y = Y
self.update_bounds()
self.update_border()
self.set_lut_range([_min, _max])
def draw_image(self, painter, canvasRect, src_rect, dst_rect, xMap, yMap):
self._offscreen[...] = np.uint32(0)
dest = _scale_quads(self.X, self.Y, self.data, src_rect,
self._offscreen, dst_rect,
self.lut, self.interpolate,
self.grid)
qrect = QRectF(QPointF(dest[0], dest[1]), QPointF(dest[2], dest[3]))
painter.drawImage(qrect, self._image, qrect)
xl, yt, xr, yb = dest
self._offscreen[yt:yb, xl:xr] = 0
def notify_new_offscreen(self):
# we always ensure the offscreen is clean before drawing
self._offscreen[...] = 0
assert_interfaces_valid(QuadGridItem)
#==============================================================================
# Image with a custom linear transform
#==============================================================================
class TrImageItem(RawImageItem):
"""
Construct a transformable image item
* data: 2D NumPy array
* param (optional): image parameters
(:py:class:`guiqwt.styles.TrImageParam` instance)
"""
__implements__ = (IBasePlotItem, IBaseImageItem, IExportROIImageItemType)
_can_select = True
_can_resize = True
_can_rotate = True
_can_move = True
def __init__(self, data=None, param=None):
self.tr = np.eye(3, dtype=float)
self.itr = np.eye(3, dtype=float)
self.points = np.array([ [0, 0, 2, 2],
[0, 2, 2, 0],
[1, 1, 1, 1] ], float)
super(TrImageItem, self).__init__(data, param)
#---- BaseImageItem API ---------------------------------------------------
def get_default_param(self):
"""Return instance of the default imageparam DataSet"""
return TrImageParam(_("Image"))
#---- Public API ----------------------------------------------------------
def set_transform(self, x0, y0, angle, dx=1.0, dy=1.0,
hflip=False, vflip=False):
self.imageparam.set_transform(x0, y0, angle, dx, dy, hflip, vflip)
if self.data is None:
return
ni, nj = self.data.shape
rot = rotate(-angle)
tr1 = translate(nj/2.+0.5, ni/2.+0.5)
xflip = -1. if hflip else 1.
yflip = -1. if vflip else 1.
sc = scale(xflip/dx, yflip/dy)
tr2 = translate(-x0, -y0)
self.tr = tr1*sc*rot*tr2
self.itr = self.tr.I
self.compute_bounds()
def get_transform(self):
return self.imageparam.get_transform()
def debug_transform(self, pt):
x0, y0, angle, dx, dy, _hflip, _vflip = self.get_transform()
ni, nj = self.data.shape
rot = rotate(-angle)
tr1 = translate(ni/2.+0.5, nj/2.+0.5)
sc = scale(dx, dy)
tr2 = translate(-x0, -y0)
p1 = tr1.I*pt
p2 = rot.I*pt
p3 = sc.I*pt
p4 = tr2.I*pt
print("src=", pt.T)
print("tr1:", p1.T)
print("tr1+rot:", p2.T)
print("tr1+rot+sc:", p3.T)
print("tr1+rot+tr2:", p4.T)
def set_crop(self, left, top, right, bottom):
self.imageparam.set_crop(left, top, right, bottom)
def get_crop(self):
return self.imageparam.get_crop()
def get_crop_coordinates(self):
"""Return crop rectangle coordinates"""
tpos = np.array(np.dot(self.itr, self.points))
xmin, ymin, _ = tpos.min(axis=1).flatten()
xmax, ymax, _ = tpos.max(axis=1).flatten()
left, top, right, bottom = self.imageparam.get_crop()
return (xmin+left, ymin+top, xmax-right, ymax-bottom)
def compute_bounds(self):
x0, y0, x1, y1 = self.get_crop_coordinates()
self.bounds = QRectF(QPointF(x0, y0), QPointF(x1, y1))
self.update_border()
#--- RawImageItem API -----------------------------------------------------
def set_data(self, data, lut_range=None):
RawImageItem.set_data(self, data, lut_range)
ni, nj = self.data.shape
self.points = np.array([[0, 0, nj, nj],
[0, ni, ni, 0],
[1, 1, 1, 1]], float)
self.compute_bounds()
#--- BaseImageItem API ----------------------------------------------------
def get_filter(self, filterobj, filterparam):
"""Provides a filter object over this image's content"""
raise NotImplementedError
#TODO: Implement TrImageFilterItem
# return TrImageFilterItem(self, filterobj, filterparam)
def get_pixel_coordinates(self, xplot, yplot):
"""Return (image) pixel coordinates (from plot coordinates)"""
v = self.tr*colvector(xplot, yplot)
xpixel, ypixel, _ = v[:, 0]
return xpixel, ypixel
def get_plot_coordinates(self, xpixel, ypixel):
"""Return plot coordinates (from image pixel coordinates)"""
v0 = self.itr*colvector(xpixel, ypixel)
xplot, yplot, _ = v0[:, 0].A.ravel()
return xplot, yplot
def get_x_values(self, i0, i1):
v0 = self.itr*colvector(i0, 0)
x0, _y0, _ = v0[:, 0].A.ravel()
v1 = self.itr*colvector(i1, 0)
x1, _y1, _ = v1[:, 0].A.ravel()
return np.linspace(x0, x1, i1-i0)
def get_y_values(self, j0, j1):
v0 = self.itr*colvector(0, j0)
_x0, y0, _ = v0[:, 0].A.ravel()
v1 = self.itr*colvector(0, j1)
_x1, y1, _ = v1[:, 0].A.ravel()
return np.linspace(y0, y1, j1-j0)
def get_closest_coordinates(self, x, y):
"""Return closest image pixel coordinates"""
xi, yi = self.get_closest_indexes(x, y)
v = self.itr*colvector(xi, yi)
x, y, _ = v[:, 0].A.ravel()
return x, y
def update_border(self):
tpos = np.dot(self.itr, self.points)
self.border_rect.set_points(tpos.T[:, :2])
def draw_border(self, painter, xMap, yMap, canvasRect):
self.border_rect.draw(painter, xMap, yMap, canvasRect)
def draw_image(self, painter, canvasRect, src_rect, dst_rect, xMap, yMap):
W = canvasRect.width()
H = canvasRect.height()
if W <= 1 or H <= 1:
return
x0, y0, x1, y1 = src_rect
cx = canvasRect.left()
cy = canvasRect.top()
sx = (x1-x0)/(W-1)
sy = (y1-y0)/(H-1)
# tr1 = tr(x0,y0)*scale(sx,sy)*tr(-cx,-cy)
tr = np.matrix( [[sx, 0, x0-cx*sx],
[ 0, sy, y0-cy*sy],
[ 0, 0, 1]], float)
mat = self.tr*tr
dest = _scale_tr(self.data, mat, self._offscreen, dst_rect,
self.lut, self.interpolate)
qrect = QRectF(QPointF(dest[0], dest[1]), QPointF(dest[2], dest[3]))
painter.drawImage(qrect, self._image, qrect)
def export_roi(self, src_rect, dst_rect, dst_image,
apply_lut=False, apply_interpolation=False,
original_resolution=False):
"""Export Region Of Interest to array"""
if apply_lut:
a, b, _bg, _cmap = self.lut
else:
a, b = 1., 0.
xs0, ys0, xs1, ys1 = src_rect
xd0, yd0, xd1, yd1 = dst_rect
if original_resolution:
_t1, _t2, _t3, xscale, yscale, _t4, _t5 = self.get_transform()
else:
xscale, yscale = (xs1-xs0)/float(xd1-xd0), (ys1-ys0)/float(yd1-yd0)
mat = self.tr*( translate(xs0, ys0)*scale(xscale, yscale) )
x0, y0, x1, y1 = self.get_crop_coordinates()
xd0 = max([xd0, xd0+int((x0-xs0)/xscale)])
yd0 = max([yd0, yd0+int((y0-ys0)/xscale)])
xd1 = min([xd1, xd1+int((x1-xs1)/xscale)])
yd1 = min([yd1, yd1+int((y1-ys1)/xscale)])
dst_rect = xd0, yd0, xd1, yd1
interp = self.interpolate if apply_interpolation else (INTERP_NEAREST,)
_scale_tr(self.data, mat, dst_image, dst_rect, (a, b, None), interp)
#---- IBasePlotItem API ---------------------------------------------------
def move_local_point_to(self, handle, pos, ctrl=None):
"""Move a handle as returned by hit_test to the new position pos
ctrl: True if
"
text += "%s" % subtitle
if self.area_computations_visible:
infos = self.get_infos()
if infos:
if text:
text += "
"
text += infos
return text
def x_to_str(self, x):
"""Convert x (float) to a string
(with associated unit and uncertainty)"""
param = self.annotationparam
if self.plot() is None:
return ''
else:
xunit = self.plot().get_axis_unit(self.xAxis())
fmt = param.format
if param.uncertainty:
fmt += " ± " + (fmt % (x*param.uncertainty))
if xunit is not None:
return (fmt+" "+xunit) % x
else:
return (fmt) % x
def y_to_str(self, y):
"""Convert y (float) to a string
(with associated unit and uncertainty)"""
param = self.annotationparam
if self.plot() is None:
return ''
else:
yunit = self.plot().get_axis_unit(self.yAxis())
fmt = param.format
if param.uncertainty:
fmt += " ± " + (fmt % (y*param.uncertainty))
if yunit is not None:
return (fmt+" "+yunit) % y
else:
return (fmt) % y
def get_center(self):
"""Return shape center coordinates: (xc, yc)"""
return self.shape.get_center()
def get_tr_center(self):
"""Return shape center coordinates after applying transform matrix"""
raise NotImplementedError
def get_tr_center_str(self):
"""Return center coordinates as a string (with units)"""
xc, yc = self.get_tr_center()
return "( %s ; %s )" % (self.x_to_str(xc), self.y_to_str(yc))
def get_tr_size(self):
"""Return shape size after applying transform matrix"""
raise NotImplementedError
def get_tr_size_str(self):
"""Return size as a string (with units)"""
xs, ys = self.get_tr_size()
return "%s x %s" % (self.x_to_str(xs), self.y_to_str(ys))
def get_infos(self):
"""Return formatted string with informations on current shape"""
pass
def set_label_position(self):
"""Set label position, for instance based on shape position"""
raise NotImplementedError
def apply_transform_matrix(self, x, y):
V = np.array([x, y, 1.])
W = np.dot(V, self.annotationparam.transform_matrix)
return W[0], W[1]
def get_transformed_coords(self, handle1, handle2):
x1, y1 = self.apply_transform_matrix(*self.shape.points[handle1])
x2, y2 = self.apply_transform_matrix(*self.shape.points[handle2])
return x1, y1, x2, y2
#----IBasePlotItem API------------------------------------------------------
def hit_test(self, pos):
return self.shape.poly_hit_test(self.plot(),
self.xAxis(), self.yAxis(), pos)
def move_point_to(self, handle, pos, ctrl=None):
self.shape.move_point_to(handle, pos, ctrl)
self.set_label_position()
if self.plot():
self.plot().emit(SIG_ANNOTATION_CHANGED, self)
def move_shape(self, old_pos, new_pos):
self.shape.move_shape(old_pos, new_pos)
self.label.move_local_shape(old_pos, new_pos)
def move_local_shape(self, old_pos, new_pos):
old_pt = canvas_to_axes(self, old_pos)
new_pt = canvas_to_axes(self, new_pos)
self.shape.move_shape(old_pt, new_pt)
self.set_label_position()
if self.plot():
self.plot().emit(SIG_ITEM_MOVED, self, *(old_pt+new_pt))
self.plot().emit(SIG_ANNOTATION_CHANGED, self)
def move_with_selection(self, delta_x, delta_y):
"""
Translate the shape together with other selected items
delta_x, delta_y: translation in plot coordinates
"""
self.shape.move_with_selection(delta_x, delta_y)
self.label.move_with_selection(delta_x, delta_y)
self.plot().emit(SIG_ANNOTATION_CHANGED, self)
def select(self):
"""Select item"""
AbstractShape.select(self)
self.shape.select()
def unselect(self):
"""Unselect item"""
AbstractShape.unselect(self)
self.shape.unselect()
def get_item_parameters(self, itemparams):
self.shape.get_item_parameters(itemparams)
self.label.get_item_parameters(itemparams)
self.annotationparam.update_param(self)
itemparams.add("AnnotationParam", self, self.annotationparam)
def set_item_parameters(self, itemparams):
self.shape.set_item_parameters(itemparams)
self.label.set_item_parameters(itemparams)
update_dataset(self.annotationparam, itemparams.get("AnnotationParam"),
visible_only=True)
self.annotationparam.update_annotation(self)
assert_interfaces_valid(AnnotatedShape)
class AnnotatedPoint(AnnotatedShape):
"""
Construct an annotated point at coordinates (x, y)
with properties set with *annotationparam*
(see :py:class:`guiqwt.styles.AnnotationParam`)
"""
SHAPE_CLASS = PointShape
LABEL_ANCHOR = "TL"
def __init__(self, x=0, y=0, annotationparam=None):
AnnotatedShape.__init__(self, annotationparam)
self.set_pos(x, y)
#----Public API-------------------------------------------------------------
def set_pos(self, x, y):
"""Set the point coordinates to (x, y)"""
self.shape.set_pos(x, y)
self.set_label_position()
def get_pos(self):
"""Return the point coordinates"""
return self.shape.get_pos()
#----AnnotatedShape API-----------------------------------------------------
def create_shape(self):
"""Return the shape object associated to this annotated shape object"""
shape = self.SHAPE_CLASS(0, 0)
return shape
def set_label_position(self):
"""Set label position, for instance based on shape position"""
x, y = self.shape.points[0]
self.label.set_pos(x, y)
#----AnnotatedShape API-----------------------------------------------------
def get_infos(self):
"""Return formatted string with informations on current shape"""
xt, yt = self.apply_transform_matrix(*self.shape.points[0])
return "( %s ; %s )" % (self.x_to_str(xt), self.y_to_str(yt))
class AnnotatedSegment(AnnotatedShape):
"""
Construct an annotated segment between coordinates (x1, y1) and
(x2, y2) with properties set with *annotationparam*
(see :py:class:`guiqwt.styles.AnnotationParam`)
"""
SHAPE_CLASS = SegmentShape
LABEL_ANCHOR = "C"
def __init__(self, x1=0, y1=0, x2=0, y2=0, annotationparam=None):
AnnotatedShape.__init__(self, annotationparam)
self.set_rect(x1, y1, x2, y2)
#----Public API-------------------------------------------------------------
def set_rect(self, x1, y1, x2, y2):
"""
Set the coordinates of the shape's top-left corner to (x1, y1),
and of its bottom-right corner to (x2, y2).
"""
self.shape.set_rect(x1, y1, x2, y2)
self.set_label_position()
def get_rect(self):
"""
Return the coordinates of the shape's top-left and bottom-right corners
"""
return self.shape.get_rect()
def get_tr_length(self):
"""Return segment length after applying transform matrix"""
return compute_distance(*self.get_transformed_coords(0, 1))
#----AnnotatedShape API-----------------------------------------------------
def set_label_position(self):
"""Set label position, for instance based on shape position"""
x1, y1, x2, y2 = self.get_rect()
self.label.set_pos(*compute_center(x1, y1, x2, y2))
#----AnnotatedShape API-----------------------------------------------------
def get_infos(self):
"""Return formatted string with informations on current shape"""
return _("Distance:") + " " + self.x_to_str(self.get_tr_length())
class AnnotatedRectangle(AnnotatedShape):
"""
Construct an annotated rectangle between coordinates (x1, y1) and
(x2, y2) with properties set with *annotationparam*
(see :py:class:`guiqwt.styles.AnnotationParam`)
"""
SHAPE_CLASS = RectangleShape
LABEL_ANCHOR = "TL"
def __init__(self, x1=0, y1=0, x2=0, y2=0, annotationparam=None):
AnnotatedShape.__init__(self, annotationparam)
self.set_rect(x1, y1, x2, y2)
#----Public API-------------------------------------------------------------
def set_rect(self, x1, y1, x2, y2):
"""
Set the coordinates of the shape's top-left corner to (x1, y1),
and of its bottom-right corner to (x2, y2).
"""
self.shape.set_rect(x1, y1, x2, y2)
self.set_label_position()
def get_rect(self):
"""
Return the coordinates of the shape's top-left and bottom-right corners
"""
return self.shape.get_rect()
#----AnnotatedShape API-----------------------------------------------------
def set_label_position(self):
"""Set label position, for instance based on shape position"""
x_label, y_label = self.shape.points.min(axis=0)
self.label.set_pos(x_label, y_label)
def get_computations_text(self):
"""Return formatted string with informations on current shape"""
tdict = self.get_string_dict()
return "%(center_n)s ( %(center)s )
%(size_n)s %(size)s" % tdict
def get_tr_center(self):
"""Return shape center coordinates after applying transform matrix"""
return compute_center(*self.get_transformed_coords(0, 2))
def get_tr_size(self):
"""Return shape size after applying transform matrix"""
return compute_rect_size(*self.get_transformed_coords(0, 2))
def get_infos(self):
"""Return formatted string with informations on current shape"""
return "
".join([
_("Center:") + " " + self.get_tr_center_str(),
_("Size:") + " " + self.get_tr_size_str(),
])
class AnnotatedObliqueRectangle(AnnotatedRectangle):
"""
Construct an annotated oblique rectangle between coordinates (x0, y0),
(x1, y1), (x2, y2) and (x3, y3) with properties set with *annotationparam*
(see :py:class:`guiqwt.styles.AnnotationParam`)
"""
SHAPE_CLASS = ObliqueRectangleShape
LABEL_ANCHOR = "C"
def __init__(self, x0=0, y0=0, x1=0, y1=0, x2=0, y2=0, x3=0, y3=0,
annotationparam=None):
AnnotatedShape.__init__(self, annotationparam)
self.set_rect(x0, y0, x1, y1, x2, y2, x3, y3)
#----Public API-------------------------------------------------------------
def get_tr_angle(self):
"""Return X-diameter angle with horizontal direction,
after applying transform matrix"""
xcoords = self.get_transformed_coords(0, 1)
_x, yr1 = self.apply_transform_matrix(1., 1.)
_x, yr2 = self.apply_transform_matrix(1., 2.)
return (compute_angle(reverse=yr1 > yr2, *xcoords)+90)%180-90
def get_bounding_rect_coords(self):
"""Return bounding rectangle coordinates (in plot coordinates)"""
return self.shape.get_bounding_rect_coords()
#----AnnotatedShape API-----------------------------------------------------
def create_shape(self):
"""Return the shape object associated to this annotated shape object"""
shape = self.SHAPE_CLASS(0, 0, 0, 0, 0, 0, 0, 0)
return shape
#----AnnotatedShape API-----------------------------------------------------
def set_label_position(self):
"""Set label position, for instance based on shape position"""
self.label.set_pos(*self.get_center())
#----RectangleShape API-----------------------------------------------------
def set_rect(self, x0, y0, x1, y1, x2, y2, x3, y3):
"""
Set the rectangle corners coordinates:
(x0, y0): top-left corner
(x1, y1): top-right corner
(x2, y2): bottom-right corner
(x3, y3): bottom-left corner
x: additionnal points
(x0, y0)------>(x1, y1)
↑ |
| |
x x
| |
| ↓
(x3, y3)<------(x2, y2)
"""
self.shape.set_rect(x0, y0, x1, y1, x2, y2, x3, y3)
self.set_label_position()
def get_tr_size(self):
"""Return shape size after applying transform matrix"""
dx = compute_distance(*self.get_transformed_coords(0, 1))
dy = compute_distance(*self.get_transformed_coords(0, 3))
return dx, dy
#----AnnotatedShape API-----------------------------------------------------
def get_infos(self):
"""Return formatted string with informations on current shape"""
return "
".join([
_("Center:") + " " + self.get_tr_center_str(),
_("Size:") + " " + self.get_tr_size_str(),
_("Angle:") + " %.1f°" % self.get_tr_angle(),
])
class AnnotatedEllipse(AnnotatedShape):
"""
Construct an annotated ellipse with X-axis diameter between
coordinates (x1, y1) and (x2, y2)
and properties set with *annotationparam*
(see :py:class:`guiqwt.styles.AnnotationParam`)
"""
SHAPE_CLASS = EllipseShape
LABEL_ANCHOR = "C"
def __init__(self, x1=0, y1=0, x2=0, y2=0, annotationparam=None):
AnnotatedShape.__init__(self, annotationparam)
self.set_xdiameter(x1, y1, x2, y2)
#----Public API-------------------------------------------------------------
def set_xdiameter(self, x0, y0, x1, y1):
"""Set the coordinates of the ellipse's X-axis diameter
Warning: transform matrix is not applied here"""
self.shape.set_xdiameter(x0, y0, x1, y1)
self.set_label_position()
def get_xdiameter(self):
"""Return the coordinates of the ellipse's X-axis diameter
Warning: transform matrix is not applied here"""
return self.shape.get_xdiameter()
def set_ydiameter(self, x2, y2, x3, y3):
"""Set the coordinates of the ellipse's Y-axis diameter
Warning: transform matrix is not applied here"""
self.shape.set_ydiameter(x2, y2, x3, y3)
self.set_label_position()
def get_ydiameter(self):
"""Return the coordinates of the ellipse's Y-axis diameter
Warning: transform matrix is not applied here"""
return self.shape.get_ydiameter()
def get_rect(self):
return self.shape.get_rect()
def set_rect(self, x0, y0, x1, y1):
raise NotImplementedError
def get_tr_angle(self):
"""Return X-diameter angle with horizontal direction,
after applying transform matrix"""
xcoords = self.get_transformed_coords(0, 1)
_x, yr1 = self.apply_transform_matrix(1., 1.)
_x, yr2 = self.apply_transform_matrix(1., 2.)
return (compute_angle(reverse=yr1 > yr2, *xcoords)+90)%180-90
#----AnnotatedShape API-----------------------------------------------------
def set_label_position(self):
"""Set label position, for instance based on shape position"""
x_label, y_label = self.shape.points.mean(axis=0)
self.label.set_pos(x_label, y_label)
def get_tr_center(self):
"""Return center coordinates: (xc, yc)"""
return compute_center(*self.get_transformed_coords(0, 1))
def get_tr_size(self):
"""Return shape size after applying transform matrix"""
xcoords = self.get_transformed_coords(0, 1)
ycoords = self.get_transformed_coords(2, 3)
dx = compute_distance(*xcoords)
dy = compute_distance(*ycoords)
if np.fabs(self.get_tr_angle()) > 45:
dx, dy = dy, dx
return dx, dy
def get_infos(self):
"""Return formatted string with informations on current shape"""
return "
".join([
_("Center:") + " " + self.get_tr_center_str(),
_("Size:") + " " + self.get_tr_size_str(),
_("Angle:") + " %.1f°" % self.get_tr_angle(),
])
class AnnotatedCircle(AnnotatedEllipse):
"""
Construct an annotated circle with diameter between coordinates
(x1, y1) and (x2, y2) and properties set with *annotationparam*
(see :py:class:`guiqwt.styles.AnnotationParam`)
"""
def __init__(self, x1=0, y1=0, x2=0, y2=0, annotationparam=None):
AnnotatedEllipse.__init__(self, x1, y1, x2, y2, annotationparam)
def get_tr_diameter(self):
"""Return circle diameter after applying transform matrix"""
return compute_distance(*self.get_transformed_coords(0, 1))
#----AnnotatedShape API-------------------------------------------------
def get_infos(self):
"""Return formatted string with informations on current shape"""
return "
".join([
_("Center:")+" "+self.get_tr_center_str(),
_("Diameter:")+" "+self.x_to_str(self.get_tr_diameter()),
])
#----AnnotatedEllipse API---------------------------------------------------
def set_rect(self, x0, y0, x1, y1):
self.shape.set_rect(x0, y0, x1, y1)
guiqwt-2.3.1/guiqwt/histogram.py 0000666 0000000 0000000 00000050101 12144123504 015417 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2010 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
# pylint: disable=C0103
"""
guiqwt.histogram
----------------
The `histogram` module provides histogram related objects:
* :py:class:`guiqwt.histogram.HistogramItem`: an histogram plot item
* :py:class:`guiqwt.histogram.ContrastAdjustment`: the `contrast
adjustment panel`
* :py:class:`guiqwt.histogram.LevelsHistogram`: a curve plotting widget
used by the `contrast adjustment panel` to compute, manipulate and
display the image levels histogram
``HistogramItem`` objects are plot items (derived from QwtPlotItem) that may
be displayed on a 2D plotting widget like :py:class:`guiqwt.curve.CurvePlot`
or :py:class:`guiqwt.image.ImagePlot`.
Example
~~~~~~~
Simple histogram plotting example:
.. literalinclude:: ../guiqwt/tests/histogram.py
Reference
~~~~~~~~~
.. autoclass:: HistogramItem
:members:
:inherited-members:
.. autoclass:: ContrastAdjustment
:members:
:inherited-members:
.. autoclass:: LevelsHistogram
:members:
:inherited-members:
"""
import weakref
import numpy as np
from guidata.qt.QtCore import Qt
from guidata.qt.QtGui import QHBoxLayout, QVBoxLayout, QToolBar
from guidata.dataset.datatypes import DataSet
from guidata.dataset.dataitems import FloatItem
from guidata.utils import assert_interfaces_valid, update_dataset
from guidata.configtools import get_icon, get_image_layout
from guidata.qthelpers import add_actions, create_action
# Local imports
from guiqwt.transitional import QwtPlotCurve
from guiqwt.config import CONF, _
from guiqwt.interfaces import (IBasePlotItem, IHistDataSource,
IVoiImageItemType, IPanel)
from guiqwt.panels import PanelWidget, ID_CONTRAST
from guiqwt.curve import CurveItem, CurvePlot
from guiqwt.image import ImagePlot
from guiqwt.styles import HistogramParam, CurveParam
from guiqwt.shapes import XRangeSelection
from guiqwt.tools import (SelectTool, BasePlotMenuTool, SelectPointTool,
AntiAliasingTool)
from guiqwt.signals import (SIG_RANGE_CHANGED, SIG_VOI_CHANGED,
SIG_ITEM_SELECTION_CHANGED, SIG_ITEM_REMOVED,
SIG_ACTIVE_ITEM_CHANGED)
from guiqwt.plot import PlotManager
class HistDataSource(object):
"""
An objects that provides an Histogram data source interface
to a simple numpy array of data
"""
__implements__ = (IHistDataSource,)
def __init__(self, data):
self.data = data
def get_histogram(self, nbins):
"""Returns the histogram computed for nbins bins"""
return np.histogram(self.data, nbins)
assert_interfaces_valid(HistDataSource)
def hist_range_threshold(hist, bin_edges, percent):
hist = np.concatenate((hist, [0]))
threshold = .5*percent/100*hist.sum()
i_bin_min = np.cumsum(hist).searchsorted(threshold)
i_bin_max = -1-np.cumsum(np.flipud(hist)).searchsorted(threshold)
return bin_edges[i_bin_min], bin_edges[i_bin_max]
def lut_range_threshold(item, bins, percent):
hist, bin_edges = item.get_histogram(bins)
return hist_range_threshold(hist, bin_edges, percent)
class HistogramItem(CurveItem):
"""A Qwt item representing histogram data"""
__implements__ = (IBasePlotItem,)
def __init__(self, curveparam=None, histparam=None):
self.hist_count = None
self.hist_bins = None
self.bins = None
self.old_bins = None
self.source = None
self.logscale = None
self.old_logscale = None
if curveparam is None:
curveparam = CurveParam(_("Curve"), icon='curve.png')
curveparam.curvestyle = "Steps"
if histparam is None:
self.histparam = HistogramParam(title=_("Histogram"),
icon='histogram.png')
else:
self.histparam = histparam
CurveItem.__init__(self, curveparam)
self.setCurveAttribute(QwtPlotCurve.Inverted)
def set_hist_source(self, src):
"""Set histogram source
(source: object with method 'get_histogram',
e.g. objects derived from guiqwt.image.ImageItem)"""
self.source = weakref.ref(src)
self.update_histogram()
def get_hist_source(self):
"""Return histogram source
(source: object with method 'get_histogram',
e.g. objects derived from guiqwt.image.ImageItem)"""
if self.source is not None:
return self.source()
def set_hist_data(self, data):
"""Set histogram data"""
self.set_hist_source(HistDataSource(data))
def set_logscale(self, state):
"""Sets whether we use a logarithm or linear scale
for the histogram counts"""
self.logscale = state
self.update_histogram()
def get_logscale(self):
"""Returns the status of the scale"""
return self.logscale
def set_bins(self, n_bins):
self.bins = n_bins
self.update_histogram()
def get_bins(self):
return self.bins
def compute_histogram(self):
return self.get_hist_source().get_histogram(self.bins)
def update_histogram(self):
if self.get_hist_source() is None:
return
hist, bin_edges = self.compute_histogram()
hist = np.concatenate((hist, [0]))
if self.logscale:
hist = np.log(hist+1)
self.set_data(bin_edges, hist)
# Autoscale only if logscale/bins have changed
if self.bins != self.old_bins or self.logscale != self.old_logscale:
if self.plot():
self.plot().do_autoscale()
self.old_bins = self.bins
self.old_logscale = self.logscale
plot = self.plot()
if plot is not None:
plot.do_autoscale(replot=True)
def update_params(self):
self.histparam.update_hist(self)
CurveItem.update_params(self)
def get_item_parameters(self, itemparams):
CurveItem.get_item_parameters(self, itemparams)
itemparams.add("HistogramParam", self, self.histparam)
def set_item_parameters(self, itemparams):
update_dataset(self.histparam, itemparams.get("HistogramParam"),
visible_only=True)
self.histparam.update_hist(self)
CurveItem.set_item_parameters(self, itemparams)
assert_interfaces_valid(HistogramItem)
class LevelsHistogram(CurvePlot):
"""Image levels histogram widget"""
def __init__(self, parent=None):
super(LevelsHistogram, self).__init__(parent=parent, title="",
section="histogram")
self.antialiased = False
# a dict of dict : plot -> selected items -> HistogramItem
self._tracked_items = {}
self.curveparam = CurveParam(_("Curve"), icon="curve.png")
self.curveparam.read_config(CONF, "histogram", "curve")
self.histparam = HistogramParam(_("Histogram"), icon="histogram.png")
self.histparam.logscale = False
self.histparam.n_bins = 256
self.range = XRangeSelection(0, 1)
self.range_mono_color = self.range.shapeparam.sel_line.color
self.range_multi_color = CONF.get("histogram",
"range/multi/color", "red")
self.add_item(self.range, z=5)
self.connect(self, SIG_RANGE_CHANGED, self.range_changed)
self.set_active_item(self.range)
self.setMinimumHeight(80)
self.setAxisMaxMajor(self.Y_LEFT, 5)
self.setAxisMaxMinor(self.Y_LEFT, 0)
if parent is None:
self.set_axis_title('bottom', 'Levels')
def connect_plot(self, plot):
if not isinstance(plot, ImagePlot):
# Connecting only to image plot widgets (allow mixing image and
# curve widgets for the same plot manager -- e.g. in pyplot)
return
self.connect(self, SIG_VOI_CHANGED, plot.notify_colormap_changed)
self.connect(plot, SIG_ITEM_SELECTION_CHANGED, self.selection_changed)
self.connect(plot, SIG_ITEM_REMOVED, self.item_removed)
self.connect(plot, SIG_ACTIVE_ITEM_CHANGED, self.active_item_changed)
def tracked_items_gen(self):
for plot, items in list(self._tracked_items.items()):
for item in list(items.items()):
yield item # tuple item,curve
def __del_known_items(self, known_items, items):
del_curves = []
for item in list(known_items.keys()):
if item not in items:
curve = known_items.pop(item)
del_curves.append(curve)
self.del_items(del_curves)
def selection_changed(self, plot):
items = plot.get_selected_items(item_type=IVoiImageItemType)
known_items = self._tracked_items.setdefault(plot, {})
if items:
self.__del_known_items(known_items, items)
if len(items) == 1:
# Removing any cached item for other plots
for other_plot, _items in list(self._tracked_items.items()):
if other_plot is not plot:
if not other_plot.get_selected_items(
item_type=IVoiImageItemType):
other_known_items = self._tracked_items[other_plot]
self.__del_known_items(other_known_items, [])
else:
# if all items are deselected we keep the last known
# selection (for one plot only)
for other_plot, _items in list(self._tracked_items.items()):
if other_plot.get_selected_items(item_type=IVoiImageItemType):
self.__del_known_items(known_items, [])
break
for item in items:
if item not in known_items:
curve = HistogramItem(self.curveparam, self.histparam)
curve.set_hist_source(item)
self.add_item(curve, z=0)
known_items[item] = curve
nb_selected = len(list(self.tracked_items_gen()))
if not nb_selected:
self.replot()
return
self.curveparam.shade = 1.0/nb_selected
for item, curve in self.tracked_items_gen():
self.curveparam.update_curve(curve)
self.histparam.update_hist(curve)
self.active_item_changed(plot)
# Rescaling histogram plot axes for better visibility
ymax = None
for item in known_items:
curve = known_items[item]
_x, y = curve.get_data()
ymax0 = y.mean()+3*y.std()
if ymax is None or ymax0 > ymax:
ymax = ymax0
ymin, _ymax = self.get_axis_limits("left")
if ymax is not None:
self.set_axis_limits("left", ymin, ymax)
self.replot()
def item_removed(self, item):
for plot, items in list(self._tracked_items.items()):
if item in items:
items.pop(item)
break
def active_item_changed(self, plot):
items = plot.get_selected_items(item_type=IVoiImageItemType)
if not items:
#XXX: workaround
return
active = plot.get_last_active_item(IVoiImageItemType)
if active:
active_range = active.get_lut_range()
else:
active_range = None
multiple_ranges = False
for item, curve in self.tracked_items_gen():
if active_range != item.get_lut_range():
multiple_ranges = True
if active_range is not None:
_m, _M = active_range
self.set_range_style(multiple_ranges)
self.range.set_range(_m, _M, dosignal=False)
self.replot()
def set_range_style(self, multiple_ranges):
if multiple_ranges:
self.range.shapeparam.sel_line.color = self.range_multi_color
else:
self.range.shapeparam.sel_line.color = self.range_mono_color
self.range.shapeparam.update_range(self.range)
def set_range(self, _min, _max):
if _min < _max:
self.set_range_style(False)
self.range.set_range(_min, _max)
self.replot()
return True
else:
# Range was not changed
return False
def range_changed(self, _rangesel, _min, _max):
for item, curve in self.tracked_items_gen():
item.set_lut_range([_min, _max])
self.emit(SIG_VOI_CHANGED)
def set_full_range(self):
"""Set range bounds to image min/max levels"""
_min = _max = None
for item, curve in self.tracked_items_gen():
imin, imax = item.get_lut_range_full()
if _min is None or _min>imin:
_min = imin
if _max is None or _max
" % self.TITLE
if self.on_active_item:
constraint_cb = filter.plot.on_active_curve
label_cb = lambda x, y: title + \
filter.plot.get_coordinates_str(x, y)
else:
constraint_cb = None
label_cb = lambda x, y: \
"%sx = %g
y = %g" % (title, x, y)
self.marker = Marker(label_cb=label_cb,
constraint_cb=constraint_cb)
self.set_marker_style(self.marker)
self.marker.attach(filter.plot)
self.marker.setZ(filter.plot.get_max_z()+1)
self.marker.setVisible(True)
def stop(self, filter, event):
self.move( filter, event )
if self.mode != "reuse":
self.marker.detach()
self.marker = None
if self.end_callback:
self.end_callback(self)
def move(self, filter, event):
if self.marker is None:
return # something is wrong ...
self.marker.move_local_point_to( 0, event.pos() )
filter.plot.replot()
self.last_pos = self.marker.xValue(), self.marker.yValue()
def get_coordinates(self):
return self.last_pos
SHAPE_Z_OFFSET = 1000
class MultiLineTool(InteractiveTool):
TITLE = _("Polyline")
ICON = "polyline.png"
CURSOR = Qt.ArrowCursor
def __init__(self, manager, handle_final_shape_cb=None, shape_style=None,
toolbar_id=DefaultToolbarID, title=None, icon=None, tip=None,
switch_to_default_tool=None):
super(MultiLineTool, self).__init__(manager, toolbar_id,
title=title, icon=icon, tip=tip,
switch_to_default_tool=switch_to_default_tool)
self.handle_final_shape_cb = handle_final_shape_cb
self.shape = None
self.current_handle = None
self.init_pos = None
if shape_style is not None:
self.shape_style_sect = shape_style[0]
self.shape_style_key = shape_style[1]
else:
self.shape_style_sect = "plot"
self.shape_style_key = "shape/drag"
def reset(self):
self.shape = None
self.current_handle = None
def create_shape(self, filter, pt):
self.shape = PolygonShape(closed=False)
filter.plot.add_item_with_z_offset(self.shape, SHAPE_Z_OFFSET)
self.shape.setVisible(True)
self.shape.set_style(self.shape_style_sect, self.shape_style_key)
self.shape.add_local_point(pt)
return self.shape.add_local_point(pt)
def setup_filter(self, baseplot):
filter = baseplot.filter
# Initialisation du filtre
start_state = filter.new_state()
# Bouton gauche :
handler = QtDragHandler(filter, Qt.LeftButton, start_state=start_state)
filter.add_event(start_state,
KeyEventMatch( (Qt.Key_Enter, Qt.Key_Return,
Qt.Key_Space) ),
self.validate, start_state)
filter.add_event(start_state,
KeyEventMatch( (Qt.Key_Backspace, Qt.Key_Escape,) ),
self.cancel_point, start_state)
self.connect(handler, SIG_START_TRACKING, self.mouse_press)
self.connect(handler, SIG_MOVE, self.move)
self.connect(handler, SIG_STOP_NOT_MOVING, self.mouse_release)
self.connect(handler, SIG_STOP_MOVING, self.mouse_release)
return setup_standard_tool_filter(filter, start_state)
def validate(self, filter, event):
super(MultiLineTool, self).validate(filter, event)
if self.handle_final_shape_cb is not None:
self.handle_final_shape_cb(self.shape)
self.reset()
def cancel_point(self, filter, event):
if self.shape is None:
return
points = self.shape.get_points()
if points is None:
return
elif len(points) <= 2:
filter.plot.del_item(self.shape)
self.reset()
else:
if self.current_handle:
newh = self.shape.del_point(self.current_handle)
else:
newh = self.shape.del_point(-1)
self.current_handle = newh
filter.plot.replot()
def mouse_press(self, filter, event):
"""We create a new shape if it's the first point
otherwise we add a new point
"""
if self.shape is None:
self.init_pos = event.pos()
self.current_handle = self.create_shape(filter, event.pos())
filter.plot.replot()
else:
self.current_handle = self.shape.add_local_point(event.pos())
def move(self, filter, event):
"""moving while holding the button down lets the user
position the last created point
"""
if self.shape is None or self.current_handle is None:
# Error ??
return
self.shape.move_local_point_to(self.current_handle, event.pos())
filter.plot.replot()
def mouse_release(self, filter, event):
"""Releasing the mouse button validate the last point position"""
if self.current_handle is None:
return
if self.init_pos is not None and self.init_pos == event.pos():
self.shape.del_point(-1)
else:
self.shape.move_local_point_to(self.current_handle, event.pos())
self.init_pos = None
self.current_handle = None
filter.plot.replot()
class FreeFormTool(MultiLineTool):
TITLE = _("Free form")
ICON = "freeform.png"
def cancel_point(self, filter, event):
"""Reimplement base class method"""
super(FreeFormTool, self).cancel_point(filter, event)
self.shape.closed = len(self.shape.points) > 2
def mouse_press(self, filter, event):
"""Reimplement base class method"""
super(FreeFormTool, self).mouse_press(filter, event)
self.shape.closed = len(self.shape.points) > 2
class LabelTool(InteractiveTool):
TITLE = _("Label")
ICON = "label.png"
LABEL_STYLE_SECT = "plot"
LABEL_STYLE_KEY = "label"
SWITCH_TO_DEFAULT_TOOL = True
def __init__(self, manager, handle_label_cb=None, label_style=None,
toolbar_id=DefaultToolbarID, title=None, icon=None, tip=None,
switch_to_default_tool=None):
self.handle_label_cb = handle_label_cb
super(LabelTool, self).__init__(manager, toolbar_id, title=title,
icon=icon, tip=tip, switch_to_default_tool=switch_to_default_tool)
if label_style is not None:
self.label_style_sect = label_style[0]
self.label_style_key = label_style[1]
else:
self.label_style_sect = self.LABEL_STYLE_SECT
self.label_style_key = self.LABEL_STYLE_KEY
def set_label_style(self, label):
label.set_style(self.label_style_sect, self.label_style_key)
def setup_filter(self, baseplot):
filter = baseplot.filter
start_state = filter.new_state()
handler = ClickHandler(filter, Qt.LeftButton, start_state=start_state)
self.connect(handler, SIG_CLICK_EVENT, self.add_label_to_plot)
return setup_standard_tool_filter(filter, start_state)
def add_label_to_plot(self, filter, event):
plot = filter.plot
import guidata.dataset as ds
class TextParam(ds.datatypes.DataSet):
text = ds.dataitems.TextItem("", _("Label"))
textparam = TextParam(_("Label text"))
if textparam.edit(plot):
text = textparam.text.replace('\n', '
')
from guiqwt.builder import make
label = make.label(text, (0, 0), (10, 10), "TL")
self.set_label_style(label)
label.setTitle(self.TITLE)
x = plot.invTransform(label.xAxis(), event.pos().x())
y = plot.invTransform(label.yAxis(), event.pos().y())
label.set_pos(x, y)
plot.add_item_with_z_offset(label, SHAPE_Z_OFFSET)
if self.handle_label_cb is not None:
self.handle_label_cb(label)
plot.replot()
self.emit(SIG_TOOL_JOB_FINISHED)
class RectangularActionTool(InteractiveTool):
SHAPE_STYLE_SECT = "plot"
SHAPE_STYLE_KEY = "shape/drag"
AVOID_NULL_SHAPE = False
def __init__(self, manager, func, shape_style=None,
toolbar_id=DefaultToolbarID, title=None, icon=None, tip=None,
fix_orientation=False, switch_to_default_tool=None):
self.action_func = func
self.fix_orientation = fix_orientation
super(RectangularActionTool, self).__init__(manager, toolbar_id,
title=title, icon=icon, tip=tip,
switch_to_default_tool=switch_to_default_tool)
if shape_style is not None:
self.shape_style_sect = shape_style[0]
self.shape_style_key = shape_style[1]
else:
self.shape_style_sect = self.SHAPE_STYLE_SECT
self.shape_style_key = self.SHAPE_STYLE_KEY
self.last_final_shape = None
self.switch_to_default_tool = switch_to_default_tool
def get_last_final_shape(self):
if self.last_final_shape is not None:
return self.last_final_shape()
def set_shape_style(self, shape):
shape.set_style(self.shape_style_sect, self.shape_style_key)
def create_shape(self):
shape = RectangleShape(0, 0, 1, 1)
self.set_shape_style(shape)
return shape, 0, 2
def setup_shape(self, shape):
pass
def get_shape(self):
"""Reimplemented RectangularActionTool method"""
shape, h0, h1 = self.create_shape()
self.setup_shape(shape)
return shape, h0, h1
def get_final_shape(self, plot, p0, p1):
shape, h0, h1 = self.create_shape()
self.setup_shape(shape)
plot.add_item_with_z_offset(shape, SHAPE_Z_OFFSET)
shape.move_local_point_to(h0, p0)
shape.move_local_point_to(h1, p1)
self.last_final_shape = weakref.ref(shape)
return shape
def setup_filter(self, baseplot):
filter = baseplot.filter
start_state = filter.new_state()
handler = RectangularSelectionHandler(filter, Qt.LeftButton,
start_state=start_state)
shape, h0, h1 = self.get_shape()
handler.set_shape(shape, h0, h1, self.setup_shape,
avoid_null_shape=self.AVOID_NULL_SHAPE)
self.connect(handler, SIG_END_RECT, self.end_rect)
return setup_standard_tool_filter(filter, start_state)
def end_rect(self, filter, p0, p1):
plot = filter.plot
if self.fix_orientation:
left, right = min(p0.x(), p1.x()), max(p0.x(), p1.x())
top, bottom = min(p0.y(), p1.y()), max(p0.y(), p1.y())
self.action_func(plot, QPoint(left, top), QPoint(right, bottom))
else:
self.action_func(plot, p0, p1)
self.emit(SIG_TOOL_JOB_FINISHED)
if self.switch_to_default_tool:
shape = self.get_last_final_shape()
plot.set_active_item(shape)
class RectangularShapeTool(RectangularActionTool):
TITLE = None
ICON = None
def __init__(self, manager, setup_shape_cb=None,
handle_final_shape_cb=None, shape_style=None,
toolbar_id=DefaultToolbarID, title=None, icon=None, tip=None,
switch_to_default_tool=None):
super(RectangularShapeTool, self).__init__(manager,
self.add_shape_to_plot, shape_style,
toolbar_id=toolbar_id, title=title, icon=icon, tip=tip,
switch_to_default_tool=switch_to_default_tool)
self.setup_shape_cb = setup_shape_cb
self.handle_final_shape_cb = handle_final_shape_cb
def add_shape_to_plot(self, plot, p0, p1):
"""
Method called when shape's rectangular area
has just been drawn on screen.
Adding the final shape to plot and returning it.
"""
shape = self.get_final_shape(plot, p0, p1)
self.handle_final_shape(shape)
plot.replot()
def setup_shape(self, shape):
"""To be reimplemented"""
shape.setTitle(self.TITLE)
if self.setup_shape_cb is not None:
self.setup_shape_cb(shape)
def handle_final_shape(self, shape):
"""To be reimplemented"""
if self.handle_final_shape_cb is not None:
self.handle_final_shape_cb(shape)
class RectangleTool(RectangularShapeTool):
TITLE = _("Rectangle")
ICON = "rectangle.png"
class ObliqueRectangleTool(RectangularShapeTool):
TITLE = _("Oblique rectangle")
ICON = "oblique_rectangle.png"
AVOID_NULL_SHAPE = True
def create_shape(self):
shape = ObliqueRectangleShape(1, 1, 2, 1, 2, 2, 1, 2)
self.set_shape_style(shape)
return shape, 0, 2
class PointTool(RectangularShapeTool):
TITLE = _("Point")
ICON = "point_shape.png"
SHAPE_STYLE_KEY = "shape/point"
def create_shape(self):
shape = PointShape(0, 0)
self.set_shape_style(shape)
return shape, 0, 0
class SegmentTool(RectangularShapeTool):
TITLE = _("Segment")
ICON = "segment.png"
SHAPE_STYLE_KEY = "shape/segment"
def create_shape(self):
shape = SegmentShape(0, 0, 1, 1)
self.set_shape_style(shape)
return shape, 0, 1
class CircleTool(RectangularShapeTool):
TITLE = _("Circle")
ICON = "circle.png"
def create_shape(self):
shape = EllipseShape(0, 0, 1, 1)
self.set_shape_style(shape)
return shape, 0, 1
class EllipseTool(RectangularShapeTool):
TITLE = _("Ellipse")
ICON = "ellipse_shape.png"
def create_shape(self):
shape = EllipseShape(0, 0, 1, 1)
self.set_shape_style(shape)
return shape, 0, 1
def handle_final_shape(self, shape):
shape.switch_to_ellipse()
super(EllipseTool, self).handle_final_shape(shape)
class PlaceAxesTool(RectangularShapeTool):
TITLE = _("Axes")
ICON = "gtaxes.png"
SHAPE_STYLE_KEY = "shape/axes"
def create_shape(self):
shape = Axes( (0, 1), (1, 1), (0, 0) )
self.set_shape_style(shape)
return shape, 0, 2
class AnnotatedRectangleTool(RectangleTool):
def create_shape(self):
annotation = AnnotatedRectangle(0, 0, 1, 1)
self.set_shape_style(annotation)
return annotation, 0, 2
class AnnotatedObliqueRectangleTool(ObliqueRectangleTool):
AVOID_NULL_SHAPE = True
def create_shape(self):
annotation = AnnotatedObliqueRectangle(0, 0, 1, 0, 1, 1, 0, 1)
self.set_shape_style(annotation)
return annotation, 0, 2
class AnnotatedCircleTool(CircleTool):
def create_shape(self):
annotation = AnnotatedCircle(0, 0, 1, 1)
self.set_shape_style(annotation)
return annotation, 0, 1
class AnnotatedEllipseTool(EllipseTool):
def create_shape(self):
annotation = AnnotatedEllipse(0, 0, 1, 1)
self.set_shape_style(annotation)
return annotation, 0, 1
def handle_final_shape(self, shape):
shape.shape.switch_to_ellipse()
super(EllipseTool, self).handle_final_shape(shape)
class AnnotatedPointTool(PointTool):
def create_shape(self):
annotation = AnnotatedPoint(0, 0)
self.set_shape_style(annotation)
return annotation, 0, 0
class AnnotatedSegmentTool(SegmentTool):
def create_shape(self):
annotation = AnnotatedSegment(0, 0, 1, 1)
self.set_shape_style(annotation)
return annotation, 0, 1
class ImageStatsRectangle(AnnotatedRectangle):
def __init__(self, x1=0, y1=0, x2=0, y2=0, annotationparam=None):
super(ImageStatsRectangle, self).__init__(x1, y1, x2, y2,
annotationparam)
self.image_item = None
def set_image_item(self, image_item):
self.image_item = image_item
#----AnnotatedShape API-----------------------------------------------------
def get_infos(self):
"""Return formatted string with informations on current shape"""
if self.image_item is not None:
return self.image_item.get_stats(*self.get_rect())
def update_image_tool_status(tool, plot):
from guiqwt.image import ImagePlot
enabled = isinstance(plot, ImagePlot)
tool.action.setEnabled(enabled)
return enabled
class ImageStatsTool(RectangularShapeTool):
SWITCH_TO_DEFAULT_TOOL = True
TITLE = _("Image statistics")
ICON = "imagestats.png"
SHAPE_STYLE_KEY = "shape/image_stats"
def __init__(self, manager, setup_shape_cb=None, handle_final_shape_cb=None,
shape_style=None, toolbar_id=DefaultToolbarID,
title=None, icon=None, tip=None):
super(ImageStatsTool, self).__init__(manager, setup_shape_cb,
handle_final_shape_cb, shape_style, toolbar_id,
title, icon, tip)
self._last_item = None
def get_last_item(self):
if self._last_item is not None:
return self._last_item()
def create_shape(self):
return ImageStatsRectangle(0, 0, 1, 1), 0, 2
def setup_shape(self, shape):
super(ImageStatsTool, self).setup_shape(shape)
shape.setTitle('')
self.set_shape_style(shape)
self.register_shape(shape, final=False)
def register_shape(self, shape, final=False):
plot = shape.plot()
if plot is not None:
plot.unselect_all()
plot.set_active_item(shape)
shape.set_image_item(self.get_last_item())
def handle_final_shape(self, shape):
super(ImageStatsTool, self).handle_final_shape(shape)
self.register_shape(shape, final=True)
def get_associated_item(self, plot):
items = plot.get_selected_items(item_type=IStatsImageItemType)
if len(items) == 1:
self._last_item = weakref.ref(items[0])
return self.get_last_item()
def update_status(self, plot):
if update_image_tool_status(self, plot):
item = self.get_associated_item(plot)
self.action.setEnabled(item is not None)
class CrossSectionTool(RectangularShapeTool):
SWITCH_TO_DEFAULT_TOOL = True
TITLE = _("Cross section")
ICON = "csection.png"
SHAPE_STYLE_KEY = "shape/cross_section"
SHAPE_TITLE = TITLE
PANEL_IDS = (ID_XCS, ID_YCS)
def create_shape(self):
return AnnotatedPoint(0, 0), 0, 0
def setup_shape(self, shape):
self.setup_shape_appearance(shape)
super(CrossSectionTool, self).setup_shape(shape)
self.register_shape(shape, final=False)
def setup_shape_appearance(self, shape):
self.set_shape_style(shape)
param = shape.annotationparam
param.title = self.SHAPE_TITLE
# param.show_computations = False
param.update_annotation(shape)
def register_shape(self, shape, final=False):
plot = shape.plot()
if plot is not None:
plot.unselect_all()
plot.set_active_item(shape)
for panel_id in self.PANEL_IDS:
panel = self.manager.get_panel(panel_id)
if panel is not None:
panel.register_shape(shape, final=final)
def activate(self):
"""Activate tool"""
super(CrossSectionTool, self).activate()
for panel_id in self.PANEL_IDS:
panel = self.manager.get_panel(panel_id)
panel.setVisible(True)
shape = self.get_last_final_shape()
if shape is not None:
panel.update_plot(shape)
def handle_final_shape(self, shape):
super(CrossSectionTool, self).handle_final_shape(shape)
self.register_shape(shape, final=True)
class AverageCrossSectionTool(CrossSectionTool):
SWITCH_TO_DEFAULT_TOOL = True
TITLE = _("Average cross section")
ICON = "csection_a.png"
SHAPE_STYLE_KEY = "shape/average_cross_section"
SHAPE_TITLE = TITLE
def create_shape(self):
return AnnotatedRectangle(0, 0, 1, 1), 0, 2
class ObliqueCrossSectionTool(CrossSectionTool):
SWITCH_TO_DEFAULT_TOOL = True
TITLE = _("Oblique averaged cross section")
ICON = "csection_oblique.png"
SHAPE_STYLE_KEY = "shape/average_cross_section"
SHAPE_TITLE = TITLE
PANEL_IDS = (ID_OCS, )
def create_shape(self):
annotation = AnnotatedObliqueRectangle(0, 0, 1, 0, 1, 1, 0, 1)
self.set_shape_style(annotation)
return annotation, 0, 2
class RectZoomTool(InteractiveTool):
TITLE = _("Rectangle zoom")
ICON = "magnifier.png"
def setup_filter(self, baseplot):
filter = baseplot.filter
start_state = filter.new_state()
handler = ZoomRectHandler(filter, Qt.LeftButton,
start_state=start_state)
shape, h0, h1 = self.get_shape()
handler.set_shape(shape, h0, h1)
return setup_standard_tool_filter(filter, start_state)
def get_shape(self):
shape = RectangleShape(0, 0, 1, 1)
shape.set_style("plot", "shape/rectzoom")
return shape, 0, 2
class BaseCursorTool(InteractiveTool):
TITLE = None
ICON = None
def __init__(self, manager, toolbar_id=DefaultToolbarID,
title=None, icon=None, tip=None, switch_to_default_tool=None):
super(BaseCursorTool, self).__init__(manager, toolbar_id,
title=title, icon=icon, tip=tip,
switch_to_default_tool=switch_to_default_tool)
self.shape = None
def create_shape(self):
"""Create and return the cursor/range shape"""
raise NotImplementedError
def setup_filter(self, baseplot):
filter = baseplot.filter
# Initialisation du filtre
start_state = filter.new_state()
# Bouton gauche :
self.handler = QtDragHandler(filter, Qt.LeftButton,
start_state=start_state )
self.connect(self.handler, SIG_MOVE, self.move)
self.connect(self.handler, SIG_STOP_NOT_MOVING, self.end_move)
self.connect(self.handler, SIG_STOP_MOVING, self.end_move)
return setup_standard_tool_filter(filter, start_state)
def move(self, filter, event):
plot = filter.plot
if not self.shape:
self.shape = self.create_shape()
self.shape.attach(plot)
self.shape.setZ(plot.get_max_z()+1)
self.shape.move_local_point_to(0, event.pos())
self.shape.setVisible(True)
self.shape.move_local_point_to(1, event.pos())
plot.replot()
def end_move(self, filter, event):
if self.shape is not None:
assert self.shape.plot() == filter.plot
filter.plot.add_item_with_z_offset(self.shape, SHAPE_Z_OFFSET)
self.shape = None
self.emit(SIG_TOOL_JOB_FINISHED)
class HRangeTool(BaseCursorTool):
TITLE = _("Horizontal selection")
ICON = "xrange.png"
def create_shape(self):
from guiqwt.shapes import XRangeSelection
return XRangeSelection(0, 0)
class VCursorTool(BaseCursorTool):
TITLE = _("Vertical cursor")
ICON = "vcursor.png"
def create_shape(self):
from guiqwt.shapes import Marker
marker = Marker()
marker.set_markerstyle('|')
return marker
class HCursorTool(BaseCursorTool):
TITLE = _("Horizontal cursor")
ICON = "hcursor.png"
def create_shape(self):
from guiqwt.shapes import Marker
marker = Marker()
marker.set_markerstyle('-')
return marker
class XCursorTool(BaseCursorTool):
TITLE = _("Cross cursor")
ICON = "xcursor.png"
def create_shape(self):
from guiqwt.shapes import Marker
marker = Marker()
marker.set_markerstyle('+')
return marker
class SignalStatsTool(BaseCursorTool):
TITLE = _("Signal statistics")
ICON = "xrange.png"
SWITCH_TO_DEFAULT_TOOL = True
def __init__(self, manager, toolbar_id=DefaultToolbarID,
title=None, icon=None, tip=None):
super(SignalStatsTool, self).__init__(manager, toolbar_id, title=title,
icon=icon, tip=tip)
self._last_item = None
self.label = None
def get_last_item(self):
if self._last_item is not None:
return self._last_item()
def create_shape(self):
from guiqwt.shapes import XRangeSelection
return XRangeSelection(0, 0)
def move(self, filter, event):
super(SignalStatsTool, self).move(filter, event)
if self.label is None:
plot = filter.plot
curve = self.get_associated_item(plot)
from guiqwt.builder import make
self.label = make.computations(self.shape, "TL",
[
(curve, "%g < x < %g",
lambda *args: (args[0].min(), args[0].max())),
(curve, "%g < y < %g",
lambda *args: (args[1].min(), args[1].max())),
(curve, "<y>=%g", lambda *args: args[1].mean()),
(curve, "σ(y)=%g", lambda *args: args[1].std()),
(curve, "∑(y)=%g", lambda *args: np.trapz(args[1])),
(curve, "∫ydx=%g", lambda *args: np.trapz(args[1], args[0])),
])
self.label.attach(plot)
self.label.setZ(plot.get_max_z()+1)
self.label.setVisible(True)
def end_move(self, filter, event):
super(SignalStatsTool, self).end_move(filter, event)
if self.label is not None:
filter.plot.add_item_with_z_offset(self.label, SHAPE_Z_OFFSET)
self.label = None
def get_associated_item(self, plot):
items = plot.get_selected_items(item_type=ICurveItemType)
if len(items) == 1:
self._last_item = weakref.ref(items[0])
return self.get_last_item()
def update_status(self, plot):
item = self.get_associated_item(plot)
self.action.setEnabled(item is not None)
class DummySeparatorTool(GuiTool):
def __init__(self, manager, toolbar_id=DefaultToolbarID):
super(DummySeparatorTool, self).__init__(manager, toolbar_id)
def setup_toolbar(self, toolbar):
"""Setup tool's toolbar"""
add_separator(toolbar)
def setup_context_menu(self, menu, plot):
add_separator(menu)
class CommandTool(GuiTool):
"""Base class for command tools: action, context menu entry"""
def __init__(self, manager, title, icon=None, tip=None,
toolbar_id=DefaultToolbarID):
self.title = title
if icon and is_text_string(icon):
self.icon = get_icon(icon)
else:
self.icon = icon
self.tip = tip
super(CommandTool, self).__init__(manager, toolbar_id)
def create_action(self, manager):
"""Create and return tool's action"""
return manager.create_action(self.title, icon=self.icon,
tip=self.tip, triggered=self.activate)
def setup_context_menu(self, menu, plot):
menu.addAction(self.action)
def activate(self, checked=True):
plot = self.get_active_plot()
if plot is not None:
self.activate_command(plot, checked)
def set_status_active_item(self, plot):
item = plot.get_active_item()
if item:
self.action.setEnabled(True)
else:
self.action.setEnabled(False)
class ToggleTool(CommandTool):
def __init__(self, manager, title, icon=None, tip=None, toolbar_id=None):
super(ToggleTool, self).__init__(manager, title, icon, tip, toolbar_id)
# Creation de l'action
self.action.setCheckable(True)
class BasePlotMenuTool(CommandTool):
"""
A tool that gather parameter panels from the BasePlot
and proposes to edit them and set them back
"""
def __init__(self, manager, key, title=None,
icon=None, tip=None, toolbar_id=DefaultToolbarID):
from guiqwt.baseplot import PARAMETERS_TITLE_ICON
default_title, default_icon = PARAMETERS_TITLE_ICON[key]
if title is None:
title = default_title
if icon is None:
icon = default_icon
super(BasePlotMenuTool, self).__init__(manager, title, icon, tip,
toolbar_id)
# Warning: icon (str) --(Base class constructor)--> self.icon (QIcon)
self.key = key
def activate_command(self, plot, checked):
"""Activate tool"""
plot.edit_plot_parameters(self.key)
def update_status(self, plot):
status = plot.get_plot_parameters_status(self.key)
self.action.setEnabled(status)
class AntiAliasingTool(ToggleTool):
def __init__(self, manager):
super(AntiAliasingTool, self).__init__(manager,
_("Antialiasing (curves)"))
def activate_command(self, plot, checked):
"""Activate tool"""
plot.set_antialiasing(checked)
plot.replot()
def update_status(self, plot):
self.action.setChecked(plot.antialiased)
class DisplayCoordsTool(CommandTool):
def __init__(self, manager):
super(DisplayCoordsTool, self).__init__(manager, _("Markers"),
icon=get_icon("on_curve.png"),
tip=None, toolbar_id=None)
self.action.setEnabled(True)
def create_action_menu(self, manager):
"""Create and return menu for the tool's action"""
menu = QMenu()
self.canvas_act = manager.create_action(_("Free"),
toggled=self.activate_canvas_pointer)
self.curve_act = manager.create_action(_("Bound to active item"),
toggled=self.activate_curve_pointer)
add_actions(menu, (self.canvas_act, self.curve_act))
return menu
def activate_canvas_pointer(self, enable):
plot = self.get_active_plot()
if plot is not None:
plot.set_pointer("canvas" if enable else None)
def activate_curve_pointer(self, enable):
plot = self.get_active_plot()
if plot is not None:
plot.set_pointer("curve" if enable else None)
def update_status(self, plot):
self.canvas_act.setChecked(plot.canvas_pointer)
self.curve_act.setChecked(plot.curve_pointer)
class ReverseYAxisTool(ToggleTool):
def __init__(self, manager):
super(ReverseYAxisTool, self).__init__(manager, _("Reverse Y axis"))
def activate_command(self, plot, checked):
"""Activate tool"""
plot.set_axis_direction('left', checked)
plot.replot()
def update_status(self, plot):
if update_image_tool_status(self, plot):
self.action.setChecked(plot.get_axis_direction('left'))
class AspectRatioParam(DataSet):
lock = BoolItem(_('Lock aspect ratio'))
current = FloatItem(_('Current value')).set_prop("display", active=False)
ratio = FloatItem(_('Lock value'), min=1e-3)
class AspectRatioTool(CommandTool):
def __init__(self, manager):
super(AspectRatioTool, self).__init__(manager, _("Aspect ratio"),
tip=None, toolbar_id=None)
self.action.setEnabled(True)
def create_action_menu(self, manager):
"""Create and return menu for the tool's action"""
self.ar_param = AspectRatioParam(_("Aspect ratio"))
menu = QMenu()
self.lock_action = manager.create_action(_("Lock"),
toggled=self.lock_aspect_ratio)
self.ratio1_action = manager.create_action(_("1:1"),
triggered=self.set_aspect_ratio_1_1)
self.set_action = manager.create_action(_("Edit..."),
triggered=self.edit_aspect_ratio)
add_actions(menu, (self.lock_action, None,
self.ratio1_action, self.set_action))
return menu
def set_aspect_ratio_1_1(self):
plot = self.get_active_plot()
if plot is not None:
plot.set_aspect_ratio(ratio=1)
plot.replot()
def activate_command(self, plot, checked):
"""Activate tool"""
pass
def __update_actions(self, checked):
self.ar_param.lock = checked
# self.lock_action.blockSignals(True)
self.lock_action.setChecked(checked)
# self.lock_action.blockSignals(False)
plot = self.get_active_plot()
if plot is not None:
ratio = plot.get_aspect_ratio()
self.ratio1_action.setEnabled(checked and ratio != 1.)
def lock_aspect_ratio(self, checked):
"""Lock aspect ratio"""
plot = self.get_active_plot()
if plot is not None:
plot.set_aspect_ratio(lock=checked)
self.__update_actions(checked)
plot.replot()
def edit_aspect_ratio(self):
plot = self.get_active_plot()
if plot is not None:
self.ar_param.lock = plot.lock_aspect_ratio
self.ar_param.ratio = plot.get_aspect_ratio()
self.ar_param.current = plot.get_current_aspect_ratio()
if self.ar_param.edit(parent=plot):
lock, ratio = self.ar_param.lock, self.ar_param.ratio
plot.set_aspect_ratio(ratio=ratio, lock=lock)
self.__update_actions(lock)
plot.replot()
def update_status(self, plot):
if update_image_tool_status(self, plot):
ratio = plot.get_aspect_ratio()
lock = plot.lock_aspect_ratio
self.ar_param.ratio, self.ar_param.lock = ratio, lock
self.__update_actions(lock)
class PanelTool(ToggleTool):
panel_id = None
panel_name = None
def __init__(self, manager):
super(PanelTool, self).__init__(manager, self.panel_name)
self.connect(manager.get_panel(self.panel_id),
SIG_VISIBILITY_CHANGED, self.action.setChecked)
def activate_command(self, plot, checked):
"""Activate tool"""
panel = self.manager.get_panel(self.panel_id)
panel.setVisible(checked)
def update_status(self, plot):
panel = self.manager.get_panel(self.panel_id)
self.action.setChecked(panel.isVisible())
class ContrastPanelTool(PanelTool):
panel_name = _("Contrast adjustment")
panel_id = ID_CONTRAST
def update_status(self, plot):
super(ContrastPanelTool, self).update_status(plot)
update_image_tool_status(self, plot)
item = plot.get_last_active_item(IVoiImageItemType)
panel = self.manager.get_panel(self.panel_id)
for action in panel.toolbar.actions():
if isinstance(action, QAction):
action.setEnabled(item is not None)
class XCSPanelTool(PanelTool):
panel_name = _("X-axis cross section")
panel_id = ID_XCS
class YCSPanelTool(PanelTool):
panel_name = _("Y-axis cross section")
panel_id = ID_YCS
class OCSPanelTool(PanelTool):
panel_name = _("Oblique averaged cross section")
panel_id = ID_OCS
class ItemListPanelTool(PanelTool):
panel_name = _("Item list")
panel_id = ID_ITEMLIST
class SaveAsTool(CommandTool):
def __init__(self, manager, toolbar_id=DefaultToolbarID):
super(SaveAsTool, self).__init__(manager, _("Save as..."),
get_std_icon("DialogSaveButton", 16),
toolbar_id=toolbar_id)
def activate_command(self, plot, checked):
"""Activate tool"""
#FIXME: Qt's PDF printer is unable to print plots including images
# --> until this bug is fixed internally, disabling PDF output format
# when plot has image items.
formats = '%s (*.png)' % _('PNG image')
from guiqwt.interfaces import IImageItemType
for item in plot.get_items():
if IImageItemType in item.types():
break
else:
formats += '\n%s (*.pdf)' % _('PDF document')
fname, _f = getsavefilename(plot, _("Save as"), _('untitled'), formats)
if fname:
plot.save_widget(fname)
class CopyToClipboardTool(CommandTool):
def __init__(self, manager, toolbar_id=DefaultToolbarID):
super(CopyToClipboardTool, self).__init__(manager,
_("Copy to clipboard"),
get_icon('copytoclipboard.png'),
toolbar_id=toolbar_id)
def activate_command(self, plot, checked):
"""Activate tool"""
plot.copy_to_clipboard()
def save_snapshot(plot, p0, p1):
"""
Save rectangular plot area
p0, p1: resp. top left and bottom right points (QPoint objects)
"""
from guiqwt.image import (get_image_from_plot, get_plot_qrect,
get_items_in_rectangle,
compute_trimageitems_original_size)
from guiqwt import io
items = get_items_in_rectangle(plot, p0, p1)
if not items:
QMessageBox.critical(plot, _("Rectangle snapshot"),
_("There is no supported image item in current selection."))
return
src_x, src_y, src_w, src_h = get_plot_qrect(plot, p0, p1).getRect()
original_size = compute_trimageitems_original_size(items, src_w, src_h)
screen_size = (p1.x()-p0.x()+1, p1.y()-p0.y()+1)
from guiqwt.widgets.resizedialog import ResizeDialog
dlg = ResizeDialog(plot, new_size=screen_size, old_size=original_size,
text=_("Destination size:"))
if not dlg.exec_():
return
from guidata.dataset.datatypes import DataSet, BeginGroup, EndGroup
from guidata.dataset.dataitems import BoolItem, ChoiceItem
class SnapshotParam(DataSet):
_levels = BeginGroup(_("Image levels adjustments"))
apply_contrast = BoolItem(_("Apply contrast settings"),
default=False)
apply_interpolation = BoolItem(_("Apply interpolation algorithm"),
default=True)
norm_range = BoolItem(_("Scale levels to maximum range"),
default=False)
_end_levels = EndGroup(_("Image levels adjustments"))
_multiple = BeginGroup(_("Superimposed images"))
add_images = ChoiceItem(_("If image B is behind image A, "
"replace intersection by"),
[(False, "A"), (True, "A+B")],
default=None)
_end_multiple = EndGroup(_("Superimposed images"))
param = SnapshotParam(_("Rectangle snapshot"))
if not param.edit(parent=plot):
return
if dlg.keep_original_size:
destw, desth = original_size
else:
destw, desth = dlg.width, dlg.height
try:
data = get_image_from_plot(plot, p0, p1, destw=destw, desth=desth,
add_images=param.add_images,
apply_lut=param.apply_contrast,
apply_interpolation=param.apply_interpolation,
original_resolution=dlg.keep_original_size)
dtype = None
for item in items:
if dtype is None or item.data.dtype.itemsize > dtype.itemsize:
dtype = item.data.dtype
if param.norm_range:
data = io.scale_data_to_dtype(data, dtype=dtype)
else:
data = np.array(data, dtype=dtype)
except MemoryError:
mbytes = int(destw*desth*32./(8*1024**2))
QMessageBox.critical(plot, _("Memory error"),
_("There is not enough memory left to process "
"this %d x %d image (%d MB would be required)."
) % (destw, desth, mbytes))
return
for model_item in items:
model_fname = model_item.get_filename()
if model_fname is not None and model_fname.lower().endswith(".dcm"):
break
else:
model_fname = None
fname, _f = getsavefilename(plot, _("Save as"), _('untitled'),
io.iohandler.get_filters('save', data.dtype, template=True))
_base, ext = osp.splitext(fname)
options = {}
if not fname:
return
elif ext.lower() == ".png":
options.update(dict(dtype=np.uint8, max_range=True))
elif ext.lower() == ".dcm":
import dicom
model_dcm = dicom.read_file(model_fname)
try:
ps_attr = 'ImagerPixelSpacing'
ps_x, ps_y = getattr(model_dcm, ps_attr)
except AttributeError:
ps_attr = 'PixelSpacing'
ps_x, ps_y = getattr(model_dcm, ps_attr)
model_dcm.Rows, model_dcm.Columns = data.shape
dest_height, dest_width = data.shape
(_x, _y, _angle, model_dx, model_dy,
_hflip, _vflip) = model_item.get_transform()
new_ps_x = ps_x*src_w/(model_dx*dest_width)
new_ps_y = ps_y*src_h/(model_dy*dest_height)
setattr(model_dcm, ps_attr, [new_ps_x, new_ps_y])
options.update(dict(template=model_dcm))
io.imwrite(fname, data, **options)
class SnapshotTool(RectangularActionTool):
SWITCH_TO_DEFAULT_TOOL = True
TITLE = _("Rectangle snapshot")
ICON = "snapshot.png"
def __init__(self, manager, toolbar_id=DefaultToolbarID):
super(SnapshotTool, self).__init__(manager, save_snapshot,
toolbar_id=toolbar_id,
fix_orientation=True)
class RotateCropTool(CommandTool):
"""Rotate & Crop tool
See :py:class:`guiqwt.rotatecrop.RotateCropDialog` dialog."""
def __init__(self, manager, toolbar_id=DefaultToolbarID, options=None):
super(RotateCropTool, self).__init__(manager,
title=_("Rotate and crop"),
icon=get_icon('rotate.png'), toolbar_id=toolbar_id)
self.options = options
def activate_command(self, plot, checked):
"""Activate tool"""
from guiqwt.image import TrImageItem
from guiqwt.widgets.rotatecrop import RotateCropDialog
for item in plot.get_selected_items():
if isinstance(item, TrImageItem):
z = item.z()
plot.del_item(item)
dlg = RotateCropDialog(plot.parent(), options=self.options)
dlg.set_item(item)
ok = dlg.exec_()
plot.add_item(item, z=z)
if not ok:
break
def update_status(self, plot):
from guiqwt.image import TrImageItem
status = any([isinstance(item, TrImageItem)
for item in plot.get_selected_items()])
self.action.setEnabled(status)
class PrintFilter(QwtPlotPrintFilter):
def __init__(self):
super(PrintFilter, self).__init__()
def color(self, c, item):
if not (self.options() & QwtPlotPrintFilter.CanvasBackground):
if item == QwtPlotPrintFilter.MajorGrid:
return Qt.darkGray
elif item == QwtPlotPrintFilter.MinorGrid:
return Qt.gray
if item == QwtPlotPrintFilter.Title:
return Qt.red
elif item == QwtPlotPrintFilter.AxisScale:
return Qt.green
elif item == QwtPlotPrintFilter.AxisTitle:
return Qt.blue
return c
def font(self, f, _):
result = QFont(f)
result.setPointSize(int(f.pointSize()*1.25))
return result
class PrintTool(CommandTool):
def __init__(self, manager, toolbar_id=DefaultToolbarID):
super(PrintTool, self).__init__(manager, _("Print..."),
get_icon("print.png"),
toolbar_id=toolbar_id)
def activate_command(self, plot, checked):
"""Activate tool"""
printer = QPrinter()
dialog = QPrintDialog(printer, plot)
saved_in, saved_out, saved_err = sys.stdin, sys.stdout, sys.stderr
sys.stdout = None
ok = dialog.exec_()
sys.stdin, sys.stdout, sys.stderr = saved_in, saved_out, saved_err
if ok:
filter = PrintFilter()
if (QPrinter.GrayScale == printer.colorMode()):
filter.setOptions(QwtPlotPrintFilter.PrintAll
& ~QwtPlotPrintFilter.PrintBackground
| QwtPlotPrintFilter.PrintFrameWithScales)
plot.print_(printer, filter)
class OpenFileTool(CommandTool):
def __init__(self, manager, title=_("Open..."), formats='*.*',
toolbar_id=DefaultToolbarID):
super(OpenFileTool, self).__init__(manager, title,
get_std_icon("DialogOpenButton", 16), toolbar_id=toolbar_id)
self.formats = formats
self.directory = ""
def get_filename(self, plot):
saved_in, saved_out, saved_err = sys.stdin, sys.stdout, sys.stderr
sys.stdout = None
filename, _f = getopenfilename(plot, _("Open"),
self.directory, self.formats)
sys.stdin, sys.stdout, sys.stderr = saved_in, saved_out, saved_err
filename = to_text_string(filename)
if filename:
self.directory = osp.dirname(filename)
return filename
def activate_command(self, plot, checked):
"""Activate tool"""
filename = self.get_filename(plot)
if filename:
self.emit(SIGNAL("openfile(QString*)"), filename)
class SaveItemsTool(CommandTool):
def __init__(self, manager, toolbar_id=DefaultToolbarID):
super(SaveItemsTool, self).__init__(manager, _("Save items"),
get_std_icon("DialogSaveButton", 16), toolbar_id=toolbar_id)
def activate_command(self, plot, checked):
"""Activate tool"""
fname, _f = getsavefilename(plot, _("Save items as"), _('untitled'),
'%s (*.gui)' % _("guiqwt items"))
if not fname:
return
itemfile = open(fname, "wb")
plot.save_items(itemfile, selected=True)
class LoadItemsTool(OpenFileTool):
def __init__(self, manager, toolbar_id=DefaultToolbarID):
super(LoadItemsTool, self).__init__(manager, title=_("Load items"),
formats='*.gui', toolbar_id=toolbar_id)
def activate_command(self, plot, checked):
"""Activate tool"""
filename = self.get_filename(plot)
if not filename:
return
itemfile = open(filename, "rb")
plot.restore_items(itemfile)
plot.replot()
class OpenImageTool(OpenFileTool):
def __init__(self, manager, toolbar_id=DefaultToolbarID):
from guiqwt import io
super(OpenImageTool, self).__init__(manager, title=_("Open image"),
formats=io.iohandler.get_filters('load'), toolbar_id=toolbar_id)
class AxisScaleTool(CommandTool):
def __init__(self, manager):
super(AxisScaleTool, self).__init__(manager, _("Scale"),
icon=get_icon("log_log.png"),
tip=None, toolbar_id=None)
self.action.setEnabled(True)
def create_action_menu(self, manager):
"""Create and return menu for the tool's action"""
menu = QMenu()
group = QActionGroup(manager.get_main())
lin_lin = manager.create_action("Lin Lin", icon=get_icon("lin_lin.png"),
toggled=lambda state, x="lin", y="lin":
self.set_scale(state, x, y))
lin_log = manager.create_action("Lin Log", icon=get_icon("lin_log.png"),
toggled=lambda state, x="lin", y="log":
self.set_scale(state, x, y))
log_lin = manager.create_action("Log Lin", icon=get_icon("log_lin.png"),
toggled=lambda state, x="log", y="lin":
self.set_scale(state, x, y))
log_log = manager.create_action("Log Log", icon=get_icon("log_log.png"),
toggled=lambda state, x="log", y="log":
self.set_scale(state, x, y))
self.scale_menu = {("lin", "lin"): lin_lin, ("lin", "log"): lin_log,
("log", "lin"): log_lin, ("log", "log"): log_log}
for obj in (group, menu):
add_actions(obj, (lin_lin, lin_log, log_lin, log_log))
return menu
def update_status(self, plot):
item = plot.get_active_item()
active_scale = ("lin", "lin")
if item is not None:
xscale = plot.get_axis_scale(item.xAxis())
yscale = plot.get_axis_scale(item.yAxis())
active_scale = xscale, yscale
for scale_type, scale_action in list(self.scale_menu.items()):
if item is None:
scale_action.setEnabled(False)
else:
scale_action.setEnabled(True)
if active_scale == scale_type:
scale_action.setChecked(True)
else:
scale_action.setChecked(False)
def set_scale(self, checked, xscale, yscale):
if not checked:
return
plot = self.get_active_plot()
if plot is not None:
cur_xscale, cur_yscale = plot.get_scales()
if cur_xscale != xscale or cur_yscale != yscale:
plot.set_scales(xscale, yscale)
class HelpTool(CommandTool):
def __init__(self, manager, toolbar_id=DefaultToolbarID):
super(HelpTool, self).__init__(manager, _("Help"),
get_std_icon("DialogHelpButton", 16),
toolbar_id=toolbar_id)
def activate_command(self, plot, checked):
"""Activate tool"""
QMessageBox.information(plot, _("Help"),
_("""Keyboard/mouse shortcuts:
- single left-click: item (curve, image, ...) selection
- single right-click: context-menu relative to selected item
- shift: on-active-curve (or image) cursor
- alt: free cursor
- left-click + mouse move: move item (when available)
- middle-click + mouse move: pan
- right-click + mouse move: zoom"""))
class ItemManipulationBaseTool(CommandTool):
TITLE = None
ICON = None
TIP = None
def __init__(self, manager, toolbar_id, curve_func, image_func):
super(ItemManipulationBaseTool, self).__init__(manager, self.TITLE,
icon=self.ICON, tip=self.TIP, toolbar_id=toolbar_id)
self.curve_func = curve_func
self.image_func = image_func
def get_supported_items(self, plot):
all_items = [item for item in plot.get_items(item_type=ICurveItemType)
if not item.is_empty()]
from guiqwt.image import ImageItem
all_items += [item for item in plot.get_items()
if isinstance(item, ImageItem) and not item.is_empty()]
if len(all_items) == 1:
return all_items
else:
return [item for item in all_items
if item in plot.get_selected_items()]
def update_status(self, plot):
self.action.setEnabled(len(self.get_supported_items(plot)) > 0)
def activate_command(self, plot, checked):
"""Activate tool"""
for item in self.get_supported_items(plot):
if ICurveItemType in item.types():
self.curve_func(item)
else:
self.image_func(item)
plot.replot()
def export_curve_data(item):
"""Export curve item data to text file"""
item_data = item.get_data()
if len(item_data) > 2:
x, y, dx, dy = item_data
array_list = [x, y]
if dx is not None:
array_list.append(dx)
if dy is not None:
array_list.append(dy)
data = np.array(array_list).T
else:
x, y = item_data
data = np.array([x, y]).T
plot = item.plot()
title = _("Export")
if item.curveparam.label:
title += (' (%s)' % item.curveparam.label)
fname, _f = getsavefilename(plot, title, "", _("Text file")+" (*.txt)")
if fname:
try:
np.savetxt(to_text_string(fname), data, delimiter=',')
except RuntimeError as error:
QMessageBox.critical(plot, _("Export"),
_("Unable to export item data.")+\
"
"+_("Error message:")+"
"+\
to_text_string(error))
def export_image_data(item):
"""Export image item data to file"""
from guiqwt.qthelpers import exec_image_save_dialog
exec_image_save_dialog(item.data, item.plot())
class ExportItemDataTool(ItemManipulationBaseTool):
TITLE = _("Export data...")
ICON = "export.png"
def __init__(self, manager, toolbar_id=None):
super(ExportItemDataTool, self).__init__(manager, toolbar_id,
curve_func=export_curve_data, image_func=export_image_data)
def edit_curve_data(item):
"""Edit curve item data to text file"""
item_data = item.get_data()
if len(item_data) > 2:
x, y, dx, dy = item_data
array_list = [x, y]
if dx is not None:
array_list.append(dx)
if dy is not None:
array_list.append(dy)
data = np.array(array_list).T
else:
x, y = item_data
data = np.array([x, y]).T
from spyderlib.widgets.objecteditor import oedit
if oedit(data) is not None:
if data.shape[1] > 2:
if data.shape[1] == 3:
x, y, tmp = data.T
if dx is not None:
dx = tmp
else:
dy = tmp
else:
x, y, dx, dy = data.T
item.set_data(x, y, dx, dy)
else:
x, y = data.T
item.set_data(x, y)
def edit_image_data(item):
"""Edit image item data to file"""
from spyderlib.widgets.objecteditor import oedit
oedit(item.data)
class EditItemDataTool(ItemManipulationBaseTool):
"""Edit item data (requires `spyderlib`)"""
TITLE = _("Edit data...")
ICON = "arredit.png"
def __init__(self, manager, toolbar_id=None):
super(EditItemDataTool, self).__init__(manager, toolbar_id,
curve_func=edit_curve_data, image_func=edit_image_data)
class ItemCenterTool(CommandTool):
def __init__(self, manager, toolbar_id=None):
super(ItemCenterTool, self).__init__(manager, _("Center items"),
"center.png", toolbar_id=toolbar_id)
def get_supported_items(self, plot):
from guiqwt.shapes import (RectangleShape, EllipseShape,
ObliqueRectangleShape)
from guiqwt.annotations import (AnnotatedRectangle, AnnotatedEllipse,
AnnotatedObliqueRectangle)
item_types = (RectangleShape, EllipseShape, ObliqueRectangleShape,
AnnotatedRectangle, AnnotatedEllipse,
AnnotatedObliqueRectangle)
return [item for item in plot.get_selected_items(z_sorted=True)
if isinstance(item, item_types)]
def update_status(self, plot):
self.action.setEnabled(len(self.get_supported_items(plot)) > 1)
def activate_command(self, plot, checked):
"""Activate tool"""
items = self.get_supported_items(plot)
xc0, yc0 = items.pop(-1).get_center()
for item in items:
xc, yc = item.get_center()
item.move_with_selection(xc0-xc, yc0-yc)
plot.replot()
class DeleteItemTool(CommandTool):
def __init__(self, manager, toolbar_id=None):
super(DeleteItemTool, self).__init__(manager, _("Remove"), "trash.png",
toolbar_id=toolbar_id)
def get_removable_items(self, plot):
return [item for item in plot.get_selected_items()
if not item.is_readonly()]
def update_status(self, plot):
self.action.setEnabled(len(self.get_removable_items(plot)) > 0)
def activate_command(self, plot, checked):
"""Activate tool"""
items = self.get_removable_items(plot)
if len(items) == 1:
message = _("Do you really want to remove this item?")
else:
message = _("Do you really want to remove selected items?")
answer = QMessageBox.warning(plot, _("Remove"), message,
QMessageBox.Yes | QMessageBox.No)
if answer == QMessageBox.Yes:
plot.del_items(items)
plot.replot()
class FilterTool(CommandTool):
def __init__(self, manager, filter, toolbar_id=None):
super(FilterTool, self).__init__(manager, to_text_string(filter.name),
toolbar_id=toolbar_id)
self.filter = filter
def update_status(self, plot):
self.set_status_active_item()
def activate_command(self, plot, checked):
"""Activate tool"""
plot.apply_filter(self.filter)
class ColormapTool(CommandTool):
def __init__(self, manager, toolbar_id=DefaultToolbarID):
super(ColormapTool, self).__init__(manager, _("Colormap"),
tip=_("Select colormap for active "
"image"),
toolbar_id=toolbar_id)
self.action.setEnabled(False)
self.action.setIconText("")
self.default_icon = build_icon_from_cmap(get_cmap("jet"),
width=16, height=16)
self.action.setIcon(self.default_icon)
def create_action_menu(self, manager):
"""Create and return menu for the tool's action"""
menu = QMenu()
for cmap_name in get_colormap_list():
cmap = get_cmap(cmap_name)
icon = build_icon_from_cmap(cmap)
action = menu.addAction(icon, cmap_name)
action.setEnabled(True)
QObject.connect(menu, SIGNAL("triggered(QAction*)"),
self.activate_cmap)
return menu
def activate_command(self, plot, checked):
"""Activate tool"""
pass
def get_selected_images(self, plot):
items = [it for it in
plot.get_selected_items(item_type=IColormapImageItemType)]
if not items:
active_image = plot.get_last_active_item(IColormapImageItemType)
if active_image:
items = [active_image]
return items
def activate_cmap(self, action):
plot = self.get_active_plot()
if plot is not None:
items = self.get_selected_images(plot)
cmap_name = str(action.text())
for item in items:
item.imageparam.colormap = cmap_name
item.imageparam.update_image(item)
self.action.setText(cmap_name)
plot.invalidate()
self.update_status(plot)
def update_status(self, plot):
if update_image_tool_status(self, plot):
item = plot.get_last_active_item(IColormapImageItemType)
icon = self.default_icon
if item:
self.action.setEnabled(True)
if item.get_color_map_name():
icon = build_icon_from_cmap(item.get_color_map(),
width=16, height=16)
else:
self.action.setEnabled(False)
self.action.setIcon(icon)
class ImageMaskTool(CommandTool):
def __init__(self, manager, toolbar_id=DefaultToolbarID):
self._mask_shapes = {}
self._mask_already_restored = {}
super(ImageMaskTool, self).__init__(manager, _("Mask"),
icon="mask_tool.png",
tip=_("Manage image masking areas"),
toolbar_id=toolbar_id)
self.masked_image = None # associated masked image item
def create_action_menu(self, manager):
"""Create and return menu for the tool's action"""
rect_tool = manager.add_tool(RectangleTool, toolbar_id=None,
handle_final_shape_cb=lambda shape:
self.handle_shape(shape, inside=True),
title=_("Mask rectangular area (inside)"),
icon="mask_rectangle.png")
rect_out_tool = manager.add_tool(RectangleTool, toolbar_id=None,
handle_final_shape_cb=lambda shape:
self.handle_shape(shape, inside=False),
title=_("Mask rectangular area (outside)"),
icon="mask_rectangle_outside.png")
ellipse_tool = manager.add_tool(CircleTool, toolbar_id=None,
handle_final_shape_cb=lambda shape:
self.handle_shape(shape, inside=True),
title=_("Mask circular area (inside)"),
icon="mask_circle.png")
ellipse_out_tool = manager.add_tool(CircleTool, toolbar_id=None,
handle_final_shape_cb=lambda shape:
self.handle_shape(shape, inside=False),
title=_("Mask circular area (outside)"),
icon="mask_circle_outside.png")
menu = QMenu()
self.showmask_action = manager.create_action(_("Show image mask"),
toggled=self.show_mask)
showshapes_action = manager.create_action(_("Show masking shapes"),
toggled=self.show_shapes)
showshapes_action.setChecked(True)
applymask_a = manager.create_action(_("Apply mask"),
icon=get_icon("apply.png"),
triggered=self.apply_mask)
clearmask_a = manager.create_action(_("Clear mask"),
icon=get_icon("delete.png"),
triggered=self.clear_mask)
removeshapes_a = manager.create_action(_("Remove all masking shapes"),
icon=get_icon("delete.png"),
triggered=self.remove_all_shapes)
add_actions(menu, (self.showmask_action, None,
showshapes_action, rect_tool.action,
ellipse_tool.action, rect_out_tool.action,
ellipse_out_tool.action, applymask_a, None,
clearmask_a, removeshapes_a))
self.action.setMenu(menu)
return menu
def update_status(self, plot):
self.action.setEnabled(self.masked_image is not None)
def register_plot(self, baseplot):
super(ImageMaskTool, self).register_plot(baseplot)
self._mask_shapes.setdefault(baseplot, [])
self.connect(baseplot, SIG_ITEMS_CHANGED, self.items_changed)
self.connect(baseplot, SIG_ITEM_SELECTION_CHANGED,
self.item_selection_changed)
def show_mask(self, state):
if self.masked_image is not None:
self.masked_image.set_mask_visible(state)
def apply_mask(self):
mask = self.masked_image.get_mask()
plot = self.get_active_plot()
for shape, inside in self._mask_shapes[plot]:
if isinstance(shape, RectangleShape):
self.masked_image.align_rectangular_shape(shape)
x0, y0, x1, y1 = shape.get_rect()
self.masked_image.mask_rectangular_area(x0, y0, x1, y1,
inside=inside)
else:
x0, y0, x1, y1 = shape.get_rect()
self.masked_image.mask_circular_area(x0, y0, x1, y1,
inside=inside)
self.masked_image.set_mask(mask)
plot.replot()
self.emit(SIG_APPLIED_MASK_TOOL)
def remove_all_shapes(self):
message = _("Do you really want to remove all masking shapes?")
plot = self.get_active_plot()
answer = QMessageBox.warning(plot, _("Remove all masking shapes"),
message, QMessageBox.Yes | QMessageBox.No)
if answer == QMessageBox.Yes:
self.remove_shapes()
def remove_shapes(self):
plot = self.get_active_plot()
plot.del_items([shape for shape, _inside
in self._mask_shapes[plot]]) # remove shapes
self._mask_shapes[plot] = []
plot.replot()
def show_shapes(self, state):
plot = self.get_active_plot()
if plot is not None:
for shape, _inside in self._mask_shapes[plot]:
shape.setVisible(state)
plot.replot()
def handle_shape(self, shape, inside):
shape.set_style("plot", "shape/mask")
shape.set_private(True)
plot = self.get_active_plot()
plot.set_active_item(shape)
self._mask_shapes[plot] += [(shape, inside)]
def find_masked_image(self, plot):
item = plot.get_active_item()
from guiqwt.image import MaskedImageItem
if isinstance(item, MaskedImageItem):
return item
else:
items = [item for item in plot.get_items()
if isinstance(item, MaskedImageItem)]
if items:
return items[-1]
def create_shapes_from_masked_areas(self):
plot = self.get_active_plot()
self._mask_shapes[plot] = []
for area in self.masked_image.get_masked_areas():
if area.geometry == 'rectangular':
shape = RectangleShape(area.x0, area.y0, area.x1, area.y1)
self.masked_image.align_rectangular_shape(shape)
else:
shape = EllipseShape(area.x0, .5*(area.y0+area.y1),
area.x1, .5*(area.y0+area.y1))
shape.set_style("plot", "shape/mask")
shape.set_private(True)
self._mask_shapes[plot] += [(shape, area.inside)]
plot.blockSignals(True)
plot.add_item(shape)
plot.blockSignals(False)
def set_masked_image(self, plot):
self.masked_image = item = self.find_masked_image(plot)
if self.masked_image is not None and not self._mask_already_restored:
self.create_shapes_from_masked_areas()
self._mask_already_restored = True
enable = False if item is None else item.is_mask_visible()
self.showmask_action.setChecked(enable)
def items_changed(self, plot):
self.set_masked_image(plot)
self._mask_shapes[plot] = [(shape, inside) for shape, inside
in self._mask_shapes[plot]
if shape.plot() is plot]
self.update_status(plot)
def item_selection_changed(self, plot):
self.set_masked_image(plot)
self.update_status(plot)
def clear_mask(self):
message = _("Do you really want to clear the mask?")
plot = self.get_active_plot()
answer = QMessageBox.warning(plot, _("Clear mask"), message,
QMessageBox.Yes | QMessageBox.No)
if answer == QMessageBox.Yes:
self.masked_image.unmask_all()
plot.replot()
def activate_command(self, plot, checked):
"""Activate tool"""
pass
guiqwt-2.3.1/guiqwt/transitional.py 0000666 0000000 0000000 00000001404 12144123504 016133 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2011 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
"""
guiqwt.transitional
-------------------
The purpose of this transitional package is to regroup all the references to
the ``PyQwt`` library.
No other ``guiqwt`` module should import ``PyQwt`` or use any of its
interfaces directly.
"""
from PyQt4.Qwt5 import (QwtPlot, QwtSymbol, QwtLinearScaleEngine,
QwtLog10ScaleEngine, QwtText, QwtPlotCanvas,
QwtLinearColorMap, QwtDoubleInterval, toQImage,
QwtPlotCurve, QwtPlotGrid, QwtPlotItem, QwtScaleMap,
QwtPlotMarker, QwtPlotPrintFilter)
guiqwt-2.3.1/guiqwt/baseplot.py 0000666 0000000 0000000 00000100753 12147410202 015241 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2010 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
# pylint: disable=C0103
"""
guiqwt.baseplot
---------------
The `baseplot` module provides the `guiqwt` plotting widget base class:
:py:class:`guiqwt.baseplot.BasePlot`. This is an enhanced version of
`PyQwt`'s QwtPlot plotting widget which supports the following features:
* add to plot, del from plot, hide/show and save/restore `plot items` easily
* item selection and multiple selection
* active item
* plot parameters editing
.. warning::
:py:class:`guiqwt.baseplot.BasePlot` is rather an internal class
than a ready-to-use plotting widget. The end user should prefer using
:py:class:`guiqwt.plot.CurvePlot` or :py:class:`guiqwt.plot.ImagePlot`.
.. seealso::
Module :py:mod:`guiqwt.curve`
Module providing curve-related plot items and plotting widgets
Module :py:mod:`guiqwt.image`
Module providing image-related plot items and plotting widgets
Module :py:mod:`guiqwt.plot`
Module providing ready-to-use curve and image plotting widgets and
dialog boxes
Reference
~~~~~~~~~
.. autoclass:: BasePlot
:members:
:inherited-members:
"""
from __future__ import print_function
import sys
import numpy as np
from guidata.qt.QtGui import (QSizePolicy, QColor, QPixmap, QPrinter,
QApplication)
from guidata.qt.QtCore import QSize, Qt
from guidata.configtools import get_font
from guidata.py3compat import to_text_string, is_text_string, maxsize
# Local imports
from guiqwt.transitional import (QwtPlot, QwtLinearScaleEngine,
QwtLog10ScaleEngine, QwtText, QwtPlotCanvas)
from guiqwt import io
from guiqwt.config import CONF, _
from guiqwt.events import StatefulEventFilter
from guiqwt.interfaces import IBasePlotItem, IItemType, ISerializableType
from guiqwt.styles import ItemParameters, AxeStyleParam, AxesParam, AxisParam
from guiqwt.signals import (SIG_ITEMS_CHANGED, SIG_ACTIVE_ITEM_CHANGED,
SIG_ITEM_SELECTION_CHANGED, SIG_ITEM_MOVED,
SIG_PLOT_LABELS_CHANGED, SIG_ITEM_REMOVED)
#==============================================================================
# Utilities for plot items
#==============================================================================
def canvas_to_axes(item, pos):
"""Convert (x,y) from canvas coordinates system to axes coordinates"""
plot, ax, ay = item.plot(), item.xAxis(), item.yAxis()
return plot.invTransform(ax, pos.x()), plot.invTransform(ay, pos.y())
def axes_to_canvas(item, x, y):
"""Convert (x,y) from axes coordinates to canvas coordinates system"""
plot, ax, ay = item.plot(), item.xAxis(), item.yAxis()
return plot.transform(ax, x), plot.transform(ay, y)
#==============================================================================
# Base plot widget
#==============================================================================
PARAMETERS_TITLE_ICON = {
'grid': (_("Grid..."), "grid.png" ),
'axes': (_("Axes style..."), "axes.png" ),
'item': (_("Parameters..."), "settings.png" ),
}
class BasePlot(QwtPlot):
"""
An enhanced QwtPlot class that provides
methods for handling plotitems and axes better
It distinguishes activatable items from basic QwtPlotItems.
Activatable items must support IBasePlotItem interface and should
be added to the plot using add_item methods.
Signals:
SIG_ITEMS_CHANGED, SIG_ACTIVE_ITEM_CHANGED
"""
Y_LEFT, Y_RIGHT, X_BOTTOM, X_TOP = (QwtPlot.yLeft, QwtPlot.yRight,
QwtPlot.xBottom, QwtPlot.xTop)
# # To be replaced by (in the near future):
# Y_LEFT, Y_RIGHT, X_BOTTOM, X_TOP = range(4)
AXIS_IDS = (Y_LEFT, Y_RIGHT, X_BOTTOM, X_TOP)
AXIS_NAMES = {'left': Y_LEFT, 'right': Y_RIGHT,
'bottom': X_BOTTOM, 'top': X_TOP}
AXIS_TYPES = {"lin" : QwtLinearScaleEngine,
"log" : QwtLog10ScaleEngine }
AXIS_CONF_OPTIONS = ("axis", "axis", "axis", "axis")
DEFAULT_ACTIVE_XAXIS = X_BOTTOM
DEFAULT_ACTIVE_YAXIS = Y_LEFT
def __init__(self, parent=None, section="plot"):
super(BasePlot, self).__init__(parent)
self._start_autoscaled = True
self.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Expanding)
self.manager = None
self.plot_id = None # id assigned by it's manager
self.filter = StatefulEventFilter(self)
self.items = []
self.active_item = None
self.last_selected = {} # a mapping from item type to last selected item
self.axes_styles = [AxeStyleParam(_("Left")),
AxeStyleParam(_("Right")),
AxeStyleParam(_("Bottom")),
AxeStyleParam(_("Top"))]
self._active_xaxis = self.DEFAULT_ACTIVE_XAXIS
self._active_yaxis = self.DEFAULT_ACTIVE_YAXIS
self.read_axes_styles(section, self.AXIS_CONF_OPTIONS)
self.font_title = get_font(CONF, section, "title")
canvas = self.canvas()
canvas.setFocusPolicy(Qt.StrongFocus)
canvas.setFocusIndicator(QwtPlotCanvas.ItemFocusIndicator)
self.connect(self, SIG_ITEM_MOVED, self._move_selected_items_together)
#---- QWidget API ---------------------------------------------------------
def mouseDoubleClickEvent(self, event):
"""Reimplement QWidget method"""
for axis_id in self.AXIS_IDS:
widget = self.axisWidget(axis_id)
if widget.geometry().contains(event.pos()):
self.edit_axis_parameters(axis_id)
#---- QwtPlot API ---------------------------------------------------------
def showEvent(self, event):
"""Reimplement Qwt method"""
QwtPlot.showEvent(self, event)
if self._start_autoscaled:
self.do_autoscale()
#---- Public API ----------------------------------------------------------
def _move_selected_items_together(self, item, x0, y0, x1, y1):
"""Selected items move together"""
for selitem in self.get_selected_items():
if selitem is not item and selitem.can_move():
selitem.move_with_selection(x1-x0, y1-y0)
def set_manager(self, manager, plot_id):
"""Set the associated :py:class:`guiqwt.plot.PlotManager` instance"""
self.manager = manager
self.plot_id = plot_id
def sizeHint(self):
"""Preferred size"""
return QSize(400, 300)
def get_title(self):
"""Get plot title"""
return to_text_string(self.title().text())
def set_title(self, title):
"""Set plot title"""
text = QwtText(title)
text.setFont(self.font_title)
self.setTitle(text)
self.emit(SIG_PLOT_LABELS_CHANGED, self)
def get_axis_id(self, axis_name):
"""Return axis ID from axis name
If axis ID is passed directly, check the ID"""
assert axis_name in self.AXIS_NAMES or axis_name in self.AXIS_IDS
return self.AXIS_NAMES.get(axis_name, axis_name)
def read_axes_styles(self, section, options):
"""
Read axes styles from section and options (one option
for each axis in the order left, right, bottom, top)
Skip axis if option is None
"""
for prm, option in zip(self.axes_styles, options):
if option is None:
continue
prm.read_config(CONF, section, option)
self.update_all_axes_styles()
def get_axis_title(self, axis_id):
"""Get axis title"""
axis_id = self.get_axis_id(axis_id)
return self.axes_styles[axis_id].title
def set_axis_title(self, axis_id, text):
"""Set axis title"""
axis_id = self.get_axis_id(axis_id)
self.axes_styles[axis_id].title = text
self.update_axis_style(axis_id)
def get_axis_unit(self, axis_id):
"""Get axis unit"""
axis_id = self.get_axis_id(axis_id)
return self.axes_styles[axis_id].unit
def set_axis_unit(self, axis_id, text):
"""Set axis unit"""
axis_id = self.get_axis_id(axis_id)
self.axes_styles[axis_id].unit = text
self.update_axis_style(axis_id)
def get_axis_font(self, axis_id):
"""Get axis font"""
axis_id = self.get_axis_id(axis_id)
return self.axes_styles[axis_id].title_font.build_font()
def set_axis_font(self, axis_id, font):
"""Set axis font"""
axis_id = self.get_axis_id(axis_id)
self.axes_styles[axis_id].title_font.update_param(font)
self.axes_styles[axis_id].ticks_font.update_param(font)
self.update_axis_style(axis_id)
def get_axis_color(self, axis_id):
"""Get axis color (color name, i.e. string)"""
axis_id = self.get_axis_id(axis_id)
return self.axes_styles[axis_id].color
def set_axis_color(self, axis_id, color):
"""
Set axis color
color: color name (string) or QColor instance
"""
axis_id = self.get_axis_id(axis_id)
if is_text_string(color):
color = QColor(color)
self.axes_styles[axis_id].color = str(color.name())
self.update_axis_style(axis_id)
def update_axis_style(self, axis_id):
"""Update axis style"""
axis_id = self.get_axis_id(axis_id)
style = self.axes_styles[axis_id]
title_font = style.title_font.build_font()
ticks_font = style.ticks_font.build_font()
self.setAxisFont(axis_id, ticks_font)
if style.title and style.unit:
title = "%s (%s)" % (style.title, style.unit)
elif style.title:
title = style.title
else:
title = style.unit
axis_text = self.axisTitle(axis_id)
axis_text.setFont(title_font)
axis_text.setText(title)
axis_text.setColor(QColor(style.color))
self.setAxisTitle(axis_id, axis_text)
self.emit(SIG_PLOT_LABELS_CHANGED, self)
def update_all_axes_styles(self):
"""Update all axes styles"""
for axis_id in self.AXIS_IDS:
self.update_axis_style(axis_id)
def get_axis_limits(self, axis_id):
"""Return axis limits (minimum and maximum values)"""
axis_id = self.get_axis_id(axis_id)
sdiv = self.axisScaleDiv(axis_id)
return sdiv.lowerBound(), sdiv.upperBound()
def set_axis_limits(self, axis_id, vmin, vmax, stepsize=0):
"""Set axis limits (minimum and maximum values) and optional
step size"""
axis_id = self.get_axis_id(axis_id)
self.setAxisScale(axis_id, vmin, vmax, stepsize)
self._start_autoscaled = False
def set_axis_ticks(self, axis_id, nmajor=None, nminor=None):
"""Set axis maximum number of major ticks
and maximum of minor ticks"""
axis_id = self.get_axis_id(axis_id)
if nmajor is not None:
self.setAxisMaxMajor(axis_id, nmajor)
if nminor is not None:
self.setAxisMaxMinor(axis_id, nminor)
def get_axis_scale(self, axis_id):
"""Return the name ('lin' or 'log') of the scale used by axis"""
axis_id = self.get_axis_id(axis_id)
engine = self.axisScaleEngine(axis_id)
for axis_label, axis_type in list(self.AXIS_TYPES.items()):
if isinstance(engine, axis_type):
return axis_label
return "lin" # unknown default to linear
def set_axis_scale(self, axis_id, scale, autoscale=True):
"""Set axis scale
Example: self.set_axis_scale(curve.yAxis(), 'lin')"""
axis_id = self.get_axis_id(axis_id)
self.setAxisScaleEngine(axis_id, self.AXIS_TYPES[scale]())
if autoscale:
self.do_autoscale(replot=False)
def get_scales(self):
"""Return active curve scales"""
ax, ay = self.get_active_axes()
return self.get_axis_scale(ax), self.get_axis_scale(ay)
def set_scales(self, xscale, yscale):
"""Set active curve scales
Example: self.set_scales('lin', 'lin')"""
ax, ay = self.get_active_axes()
self.set_axis_scale(ax, xscale)
self.set_axis_scale(ay, yscale)
self.replot()
def enable_used_axes(self):
"""
Enable only used axes
For now, this is needed only by the pyplot interface
"""
for axis in self.AXIS_IDS:
self.enableAxis(axis, True)
self.disable_unused_axes()
def disable_unused_axes(self):
"""Disable unused axes"""
used_axes = set()
for item in self.get_items():
used_axes.add(item.xAxis())
used_axes.add(item.yAxis())
unused_axes = set(self.AXIS_IDS) - set(used_axes)
for axis in unused_axes:
self.enableAxis(axis, False)
def get_items(self, z_sorted=False, item_type=None):
"""Return widget's item list
(items are based on IBasePlotItem's interface)"""
if z_sorted:
items = sorted(self.items, reverse=True, key=lambda x:x.z())
else:
items = self.items
if item_type is None:
return items
else:
assert issubclass(item_type, IItemType)
return [item for item in items if item_type in item.types()]
def get_public_items(self, z_sorted=False, item_type=None):
"""Return widget's public item list
(items are based on IBasePlotItem's interface)"""
return [item for item in self.get_items(z_sorted=z_sorted,
item_type=item_type)
if not item.is_private()]
def get_private_items(self, z_sorted=False, item_type=None):
"""Return widget's private item list
(items are based on IBasePlotItem's interface)"""
return [item for item in self.get_items(z_sorted=z_sorted,
item_type=item_type)
if item.is_private()]
def copy_to_clipboard(self):
"""Copy widget's window to clipboard"""
clipboard = QApplication.clipboard()
clipboard.setPixmap(QPixmap.grabWidget(self))
def save_widget(self, fname):
"""Grab widget's window and save it to filename (*.png, *.pdf)"""
fname = to_text_string(fname)
if fname.lower().endswith('.pdf'):
printer = QPrinter()
printer.setOutputFormat(QPrinter.PdfFormat)
printer.setOrientation(QPrinter.Landscape)
printer.setOutputFileName(fname)
printer.setCreator('guidata')
self.print_(printer)
elif fname.lower().endswith('.png'):
pixmap = QPixmap.grabWidget(self)
pixmap.save(fname, 'PNG')
else:
raise RuntimeError(_("Unknown file extension"))
def get_selected_items(self, z_sorted=False, item_type=None):
"""Return selected items"""
return [item for item in
self.get_items(item_type=item_type, z_sorted=z_sorted)
if item.selected]
def get_max_z(self):
"""
Return maximum z-order for all items registered in plot
If there is no item, return 0
"""
if self.items:
return max([_it.z() for _it in self.items])
else:
return 0
def add_item(self, item, z=None):
"""
Add a *plot item* instance to this *plot widget*
item: QwtPlotItem (PyQt4.Qwt5) object implementing
the IBasePlotItem interface (guiqwt.interfaces)
"""
assert hasattr(item, "__implements__")
assert IBasePlotItem in item.__implements__
item.attach(self)
if z is not None:
item.setZ(z)
else:
item.setZ(self.get_max_z()+1)
if item in self.items:
print("Warning: item %r is already attached to plot" % item, file=sys.stderr)
else:
self.items.append(item)
self.emit(SIG_ITEMS_CHANGED, self)
def add_item_with_z_offset(self, item, zoffset):
"""
Add a plot *item* instance within a specified z range, over *zmin*
"""
zlist = sorted([_it.z() for _it in self.items
if _it.z() >= zoffset]+[zoffset-1])
dzlist = np.argwhere(np.diff(zlist) > 1)
if len(dzlist) == 0:
z = max(zlist)+1
else:
z = zlist[dzlist]+1
self.add_item(item, z=z)
def __clean_item_references(self, item):
"""Remove all reference to this item (active,
last_selected"""
if item is self.active_item:
self.active_item = None
self._active_xaxis = self.DEFAULT_ACTIVE_XAXIS
self._active_yaxis = self.DEFAULT_ACTIVE_YAXIS
for key, it in list(self.last_selected.items()):
if item is it:
del self.last_selected[key]
def del_items(self, items):
"""Remove item from widget"""
items = items[:] # copy the list to avoid side effects when we empty it
active_item = self.get_active_item()
while items:
item = items.pop()
item.detach()
# raises ValueError if item not in list
self.items.remove(item)
self.__clean_item_references(item)
self.emit(SIG_ITEM_REMOVED, item)
self.emit(SIG_ITEMS_CHANGED, self)
if active_item is not self.get_active_item():
self.emit(SIG_ACTIVE_ITEM_CHANGED, self)
def del_item(self, item):
"""
Remove item from widget
Convenience function (see 'del_items')
"""
try:
self.del_items([item])
except ValueError:
raise ValueError("item not in plot")
def set_item_visible(self, item, state, notify=True, replot=True):
"""Show/hide *item* and emit a SIG_ITEMS_CHANGED signal"""
item.setVisible(state)
if item is self.active_item and not state:
self.set_active_item(None) # Notify the item list (see baseplot)
if notify:
self.emit(SIG_ITEMS_CHANGED, self)
if replot:
self.replot()
def __set_items_visible(self, state, items=None, item_type=None):
"""Show/hide items (if *items* is None, show/hide all items)"""
if items is None:
items = self.get_items(item_type=item_type)
for item in items:
self.set_item_visible(item, state, notify=False, replot=False)
self.emit(SIG_ITEMS_CHANGED, self)
self.replot()
def show_items(self, items=None, item_type=None):
"""Show items (if *items* is None, show all items)"""
self.__set_items_visible(True, items, item_type=item_type)
def hide_items(self, items=None, item_type=None):
"""Hide items (if *items* is None, hide all items)"""
self.__set_items_visible(False, items, item_type=item_type)
def save_items(self, iofile, selected=False):
"""
Save (serializable) items to file using the :py:mod:`pickle` protocol
* iofile: file object or filename
* selected=False: if True, will save only selected items
See also :py:meth:`guiqwt.baseplot.BasePlot.restore_items`
"""
if selected:
items = self.get_selected_items()
else:
items = self.items[:]
items = [item for item in items if ISerializableType in item.types()]
import pickle
pickle.dump(items, iofile)
def restore_items(self, iofile):
"""
Restore items from file using the :py:mod:`pickle` protocol
* iofile: file object or filename
See also :py:meth:`guiqwt.baseplot.BasePlot.save_items`
"""
import pickle
items = pickle.load(iofile)
for item in items:
self.add_item(item)
def serialize(self, writer, selected=False):
"""
Save (serializable) items to HDF5 file:
* writer: :py:class:`guidata.hdf5io.HDF5Writer` object
* selected=False: if True, will save only selected items
See also :py:meth:`guiqwt.baseplot.BasePlot.restore_items_from_hdf5`
"""
if selected:
items = self.get_selected_items()
else:
items = self.items[:]
items = [item for item in items if ISerializableType in item.types()]
io.save_items(writer, items)
def deserialize(self, reader):
"""
Restore items from HDF5 file:
* reader: :py:class:`guidata.hdf5io.HDF5Reader` object
See also :py:meth:`guiqwt.baseplot.BasePlot.save_items_to_hdf5`
"""
for item in io.load_items(reader):
self.add_item(item)
def set_items(self, *args):
"""Utility function used to quickly setup a plot
with a set of items"""
self.del_all_items()
for item in args:
self.add_item(item)
def del_all_items(self):
"""Remove (detach) all attached items"""
self.del_items(self.items)
def __swap_items_z(self, item1, item2):
old_item1_z, old_item2_z = item1.z(), item2.z()
item1.setZ(max([_it.z() for _it in self.items])+1)
item2.setZ(old_item1_z)
item1.setZ(old_item2_z)
def move_up(self, item_list):
"""Move item(s) up, i.e. to the foreground
(swap item with the next item in z-order)
item: plot item *or* list of plot items
Return True if items have been moved effectively"""
objects = self.get_items(z_sorted=True)
items = sorted(list(item_list), reverse=True,
key=lambda x:objects.index(x))
changed = False
if objects.index(items[-1]) > 0:
for item in items:
index = objects.index(item)
self.__swap_items_z(item, objects[index-1])
changed = True
if changed:
self.emit(SIG_ITEMS_CHANGED, self)
return changed
def move_down(self, item_list):
"""Move item(s) down, i.e. to the background
(swap item with the previous item in z-order)
item: plot item *or* list of plot items
Return True if items have been moved effectively"""
objects = self.get_items(z_sorted=True)
items = sorted(list(item_list), reverse=False,
key=lambda x:objects.index(x))
changed = False
if objects.index(items[-1]) < len(objects)-1:
for item in items:
index = objects.index(item)
self.__swap_items_z(item, objects[index+1])
changed = True
if changed:
self.emit(SIG_ITEMS_CHANGED, self)
return changed
def set_items_readonly(self, state):
"""Set all items readonly state to *state*
Default item's readonly state: False (items may be deleted)"""
for item in self.get_items():
item.set_readonly(state)
self.emit(SIG_ITEMS_CHANGED, self)
def select_item(self, item):
"""Select item"""
item.select()
for itype in item.types():
self.last_selected[itype] = item
self.emit(SIG_ITEM_SELECTION_CHANGED, self)
def unselect_item(self, item):
"""Unselect item"""
item.unselect()
self.emit(SIG_ITEM_SELECTION_CHANGED, self)
def get_last_active_item(self, item_type):
"""Return last active item corresponding to passed `item_type`"""
assert issubclass(item_type, IItemType)
return self.last_selected.get(item_type)
def select_all(self):
"""Select all selectable items"""
last_item = None
block = self.blockSignals(True)
for item in self.items:
if item.can_select():
self.select_item(item)
last_item = item
self.blockSignals(block)
self.emit(SIG_ITEM_SELECTION_CHANGED, self)
self.set_active_item(last_item)
def unselect_all(self):
"""Unselect all selected items"""
for item in self.items:
if item.can_select():
item.unselect()
self.set_active_item(None)
self.emit(SIG_ITEM_SELECTION_CHANGED, self)
def select_some_items(self, items):
"""Select items"""
active = self.active_item
block = self.blockSignals(True)
self.unselect_all()
if items:
new_active_item = items[-1]
else:
new_active_item = None
for item in items:
self.select_item(item)
if active is item:
new_active_item = item
self.set_active_item(new_active_item)
self.blockSignals(block)
if new_active_item is not active:
# if the new selection doesn't include the
# previously active item
self.emit(SIG_ACTIVE_ITEM_CHANGED, self)
self.emit(SIG_ITEM_SELECTION_CHANGED, self)
def set_active_item(self, item):
"""Set active item, and unselect the old active item"""
self.active_item = item
if self.active_item is not None:
if not item.selected:
self.select_item(self.active_item)
self._active_xaxis = item.xAxis()
self._active_yaxis = item.yAxis()
self.emit(SIG_ACTIVE_ITEM_CHANGED, self)
def get_active_axes(self):
"""Return active axes"""
item = self.active_item
if item is not None:
self._active_xaxis = item.xAxis()
self._active_yaxis = item.yAxis()
return self._active_xaxis, self._active_yaxis
def get_active_item(self, force=False):
"""
Return active item
Force item activation if there is no active item
"""
if force and not self.active_item:
for item in self.get_items():
if item.can_select():
self.set_active_item(item)
break
return self.active_item
def get_nearest_object(self, pos, close_dist=0):
"""
Return nearest item from position 'pos'
If close_dist > 0: return the first found item (higher z) which
distance to 'pos' is less than close_dist
else: return the closest item
"""
selobj, distance, inside, handle = None, maxsize, None, None
for obj in self.get_items(z_sorted=True):
if not obj.isVisible() or not obj.can_select():
continue
d, _handle, _inside, other = obj.hit_test(pos)
if d < distance:
selobj, distance, handle, inside = obj, d, _handle, _inside
if d < close_dist:
break
if other is not None:
# e.g. LegendBoxItem: selecting a curve ('other') instead of
# legend box ('obj')
return other, 0, None, True
return selobj, distance, handle, inside
def get_nearest_object_in_z(self, pos):
"""
Return nearest item for which position 'pos' is inside of it
(iterate over items with respect to their 'z' coordinate)
"""
selobj, distance, inside, handle = None, maxsize, None, None
for obj in self.get_items(z_sorted=True):
if not obj.isVisible() or not obj.can_select():
continue
d, _handle, _inside, _other = obj.hit_test(pos)
if _inside:
selobj, distance, handle, inside = obj, d, _handle, _inside
break
return selobj, distance, handle, inside
def get_context_menu(self):
"""Return widget context menu"""
return self.manager.get_context_menu(self)
def get_plot_parameters_status(self, key):
if key == "item":
return self.get_active_item() is not None
else:
return True
def get_selected_item_parameters(self, itemparams):
for item in self.get_selected_items():
item.get_item_parameters(itemparams)
# Retrieving active_item's parameters after every other item:
# this way, the common datasets will be based on its parameters
active_item = self.get_active_item()
active_item.get_item_parameters(itemparams)
def get_axesparam_class(self, item):
"""Return AxesParam dataset class associated to item's type"""
return AxesParam
def get_plot_parameters(self, key, itemparams):
"""
Return a list of DataSets for a given parameter key
the datasets will be edited and passed back to set_plot_parameters
this is a generic interface to help building context menus
using the BasePlotMenuTool
"""
if key == "axes":
for i, axeparam in enumerate(self.axes_styles):
itemparams.add("AxeStyleParam%d" % i, self, axeparam)
elif key == "item":
active_item = self.get_active_item()
if not active_item:
return
self.get_selected_item_parameters(itemparams)
Param = self.get_axesparam_class(active_item)
axesparam = Param(title=_("Axes"), icon='lin_lin.png',
comment=_("Axes associated to selected item"))
axesparam.update_param(active_item)
itemparams.add("AxesParam", self, axesparam)
def set_item_parameters(self, itemparams):
"""Set item (plot, here) parameters"""
# Axe styles
datasets = [itemparams.get("AxeStyleParam%d" % i) for i in range(4)]
if datasets[0] is not None:
self.axes_styles = datasets
self.update_all_axes_styles()
# Changing active item's associated axes
dataset = itemparams.get("AxesParam")
if dataset is not None:
active_item = self.get_active_item()
dataset.update_axes(active_item)
def edit_plot_parameters(self, key):
"""
Edit plot parameters
"""
multiselection = len(self.get_selected_items()) > 1
itemparams = ItemParameters(multiselection=multiselection)
self.get_plot_parameters(key, itemparams)
title, icon = PARAMETERS_TITLE_ICON[key]
itemparams.edit(self, title, icon)
def edit_axis_parameters(self, axis_id):
"""Edit axis parameters"""
if axis_id in (self.Y_LEFT, self.Y_RIGHT):
title = _("Y Axis")
else:
title = _("X Axis")
param = AxisParam(title=title)
param.update_param(self, axis_id)
if param.edit(parent=self):
param.update_axis(self, axis_id)
self.replot()
def do_autoscale(self, replot=True):
"""Do autoscale on all axes"""
for axis_id in self.AXIS_IDS:
self.setAxisAutoScale(axis_id)
if replot:
self.replot()
def disable_autoscale(self):
"""Re-apply the axis scales so as to disable autoscaling
without changing the view"""
for axis_id in self.AXIS_IDS:
vmin, vmax = self.get_axis_limits(axis_id)
self.set_axis_limits(axis_id, vmin, vmax)
def invalidate(self):
"""Invalidate paint cache and schedule redraw
use instead of replot when only the content
of the canvas needs redrawing (axes, shouldn't change)
"""
self.canvas().invalidatePaintCache()
self.update()
## Keep this around to debug too many replots
## def replot(self):
## import traceback
## traceback.print_stack()
## QwtPlot.replot(self)
guiqwt-2.3.1/guiqwt/cross_section.py 0000666 0000000 0000000 00000104626 12144123504 016313 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2010 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
# pylint: disable=C0103
"""
guiqwt.cross_section
--------------------
The `cross_section` module provides cross section related objects:
* :py:class:`guiqwt.cross_section.XCrossSection`: the X-axis
`cross-section panel`
* :py:class:`guiqwt.cross_section.YCrossSection`: the Y-axis
`cross-section panel`
* and other related objects which are exclusively used by the cross-section
panels
Example
~~~~~~~
Simple cross-section demo:
.. literalinclude:: ../guiqwt/tests/cross_section.py
Reference
~~~~~~~~~
.. autoclass:: XCrossSection
:members:
:inherited-members:
.. autoclass:: YCrossSection
:members:
:inherited-members:
"""
from __future__ import print_function
import weakref
from guidata.qt.QtGui import (QVBoxLayout, QSizePolicy, QHBoxLayout, QToolBar,
QSpacerItem)
from guidata.qt.QtCore import QSize, QPoint, Qt, SIGNAL
import numpy as np
from guidata.utils import assert_interfaces_valid
from guidata.configtools import get_icon
from guidata.qthelpers import create_action, add_actions
# Local imports
from guiqwt.config import CONF, _
from guiqwt.interfaces import ICSImageItemType, IPanel, IBasePlotItem
from guiqwt.panels import PanelWidget, ID_XCS, ID_YCS, ID_OCS
from guiqwt.curve import CurvePlot, ErrorBarCurveItem
from guiqwt.image import ImagePlot, LUT_MAX, get_image_from_qrect
from guiqwt.styles import CurveParam
from guiqwt.tools import ExportItemDataTool
from guiqwt.geometry import translate, rotate, vector_norm, vector_angle
from guiqwt.image import _scale_tr, INTERP_LINEAR
from guiqwt.signals import (SIG_MARKER_CHANGED, SIG_PLOT_LABELS_CHANGED,
SIG_ANNOTATION_CHANGED, SIG_AXIS_DIRECTION_CHANGED,
SIG_ITEMS_CHANGED, SIG_ACTIVE_ITEM_CHANGED,
SIG_LUT_CHANGED, SIG_CS_CURVE_CHANGED,
SIG_MASK_CHANGED)
from guiqwt.plot import PlotManager
from guiqwt.builder import make
from guiqwt.baseplot import canvas_to_axes, axes_to_canvas
class CrossSectionItem(ErrorBarCurveItem):
"""A Qwt item representing cross section data"""
__implements__ = (IBasePlotItem,)
_inverted = None
def __init__(self, curveparam=None, errorbarparam=None):
ErrorBarCurveItem.__init__(self, curveparam, errorbarparam)
self.perimage_mode = True
self.autoscale_mode = True
self.apply_lut = False
self.source = None
def set_source_image(self, src):
"""
Set source image
(source: object with methods 'get_xsection' and 'get_ysection',
e.g. objects derived from guiqwt.image.BaseImageItem)
"""
self.source = weakref.ref(src)
def get_source_image(self):
if self.source is not None:
return self.source()
def get_cross_section(self, obj):
"""Get cross section data from source image"""
raise NotImplementedError
def clear_data(self):
self.set_data(np.array([]), np.array([]), None, None)
self.plot().emit(SIG_CS_CURVE_CHANGED, self)
def update_curve_data(self, obj):
sectx, secty = self.get_cross_section(obj)
if secty.size == 0 or np.all(np.isnan(secty)):
sectx, secty = np.array([]), np.array([])
if self._inverted:
self.process_curve_data(secty, sectx)
else:
self.process_curve_data(sectx, secty)
def process_curve_data(self, x, y, dx=None, dy=None):
"""
Override this method to process data
before updating the displayed curve
"""
self.set_data(x, y, dx, dy)
def update_item(self, obj):
plot = self.plot()
if not plot:
return
source = self.get_source_image()
if source is None or not plot.isVisible():
return
self.update_curve_data(obj)
self.plot().emit(SIG_CS_CURVE_CHANGED, self)
if not self.autoscale_mode:
self.update_scale()
def update_scale(self):
raise NotImplementedError
def get_rectangular_area(obj):
"""
Return rectangular area covered by object
Return None if object does not support this feature
(like markers, points, ...)
"""
if hasattr(obj, 'get_rect'):
return obj.get_rect()
def get_object_coordinates(obj):
"""Return Marker or PointShape/AnnotatedPoint object coordinates"""
if hasattr(obj, 'get_pos'):
return obj.get_pos()
else:
return obj.xValue(), obj.yValue()
def get_plot_x_section(obj, apply_lut=False):
"""
Return plot cross section along x-axis,
at the y value defined by 'obj', a Marker/AnnotatedPoint object
"""
_x0, y0 = get_object_coordinates(obj)
plot = obj.plot()
xmap = plot.canvasMap(plot.X_BOTTOM)
xc0, xc1 = xmap.p1(), xmap.p2()
_xc0, yc0 = axes_to_canvas(obj, 0, y0)
if plot.get_axis_direction("left"):
yc1 = yc0+1
else:
yc1 = yc0-1
try:
#TODO: eventually add an option to apply interpolation algorithm
data = get_image_from_qrect(plot, QPoint(xc0, yc0), QPoint(xc1, yc1),
apply_lut=apply_lut,
apply_interpolation=False)
except (ValueError, ZeroDivisionError, TypeError):
return np.array([]), np.array([])
y = data.mean(axis=0)
x0, _y0 = canvas_to_axes(obj, QPoint(xc0, yc0))
x1, _y1 = canvas_to_axes(obj, QPoint(xc1, yc1))
x = np.linspace(x0, x1, len(y))
return x, y
def get_plot_y_section(obj, apply_lut=False):
"""
Return plot cross section along y-axis,
at the x value defined by 'obj', a Marker/AnnotatedPoint object
"""
x0, _y0 = get_object_coordinates(obj)
plot = obj.plot()
ymap = plot.canvasMap(plot.Y_LEFT)
yc0, yc1 = ymap.p1(), ymap.p2()
if plot.get_axis_direction("left"):
yc1, yc0 = yc0, yc1
xc0, _yc0 = axes_to_canvas(obj, x0, 0)
xc1 = xc0+1
try:
data = get_image_from_qrect(plot, QPoint(xc0, yc0), QPoint(xc1, yc1),
apply_lut=apply_lut,
apply_interpolation=False)
except (ValueError, ZeroDivisionError, TypeError):
return np.array([]), np.array([])
y = data.mean(axis=1)
_x0, y0 = canvas_to_axes(obj, QPoint(xc0, yc0))
_x1, y1 = canvas_to_axes(obj, QPoint(xc1, yc1))
x = np.linspace(y0, y1, len(y))
return x, y
def get_plot_average_x_section(obj, apply_lut=False):
"""
Return cross section along x-axis, averaged on ROI defined by 'obj'
'obj' is an AbstractShape object supporting the 'get_rect' method
(RectangleShape, AnnotatedRectangle, etc.)
"""
x0, y0, x1, y1 = obj.get_rect()
xc0, yc0 = axes_to_canvas(obj, x0, y0)
xc1, yc1 = axes_to_canvas(obj, x1, y1)
invert = False
if xc0 > xc1:
invert = True
xc1, xc0 = xc0, xc1
ydir = obj.plot().get_axis_direction("left")
if (ydir and yc0 > yc1) or (not ydir and yc0 < yc1):
yc1, yc0 = yc0, yc1
try:
data = get_image_from_qrect(obj.plot(),
QPoint(xc0, yc0), QPoint(xc1, yc1),
apply_lut=apply_lut,
apply_interpolation=False)
except (ValueError, ZeroDivisionError, TypeError):
return np.array([]), np.array([])
y = data.mean(axis=0)
if invert:
y = y[::-1]
x = np.linspace(x0, x1, len(y))
return x, y
def get_plot_average_y_section(obj, apply_lut=False):
"""
Return cross section along y-axis, averaged on ROI defined by 'obj'
'obj' is an AbstractShape object supporting the 'get_rect' method
(RectangleShape, AnnotatedRectangle, etc.)
"""
x0, y0, x1, y1 = obj.get_rect()
xc0, yc0 = axes_to_canvas(obj, x0, y0)
xc1, yc1 = axes_to_canvas(obj, x1, y1)
invert = False
ydir = obj.plot().get_axis_direction("left")
if (ydir and yc0 > yc1) or (not ydir and yc0 < yc1):
invert = True
yc1, yc0 = yc0, yc1
if xc0 > xc1:
xc1, xc0 = xc0, xc1
try:
data = get_image_from_qrect(obj.plot(),
QPoint(xc0, yc0), QPoint(xc1, yc1),
apply_lut=apply_lut,
apply_interpolation=False)
except (ValueError, ZeroDivisionError, TypeError):
return np.array([]), np.array([])
y = data.mean(axis=1)
x = np.linspace(y0, y1, len(y))
if invert:
x = x[::-1]
return x, y
class XCrossSectionItem(CrossSectionItem):
"""A Qwt item representing x-axis cross section data"""
_inverted = False
def get_cross_section(self, obj):
"""Get x-cross section data from source image"""
source = self.get_source_image()
rect = get_rectangular_area(obj)
if rect is None:
# Object is a marker or an annotated point
_x0, y0 = get_object_coordinates(obj)
if self.perimage_mode:
return source.get_xsection(y0, apply_lut=self.apply_lut)
else:
return get_plot_x_section(obj, apply_lut=self.apply_lut)
else:
if self.perimage_mode:
x0, y0, x1, y1 = rect
return source.get_average_xsection(x0, y0, x1, y1,
apply_lut=self.apply_lut)
else:
return get_plot_average_x_section(obj, apply_lut=self.apply_lut)
def update_scale(self):
plot = self.plot()
axis_id = plot.X_BOTTOM
source = self.get_source_image()
sdiv = source.plot().axisScaleDiv(axis_id)
plot.setAxisScale(axis_id, sdiv.lowerBound(), sdiv.upperBound())
plot.replot()
class YCrossSectionItem(CrossSectionItem):
"""A Qwt item representing y-axis cross section data"""
_inverted = True
def get_cross_section(self, obj):
"""Get y-cross section data from source image"""
source = self.get_source_image()
rect = get_rectangular_area(obj)
if rect is None:
# Object is a marker or an annotated point
x0, _y0 = get_object_coordinates(obj)
if self.perimage_mode:
return source.get_ysection(x0, apply_lut=self.apply_lut)
else:
return get_plot_y_section(obj, apply_lut=self.apply_lut)
else:
if self.perimage_mode:
x0, y0, x1, y1 = rect
return source.get_average_ysection(x0, y0, x1, y1,
apply_lut=self.apply_lut)
else:
return get_plot_average_y_section(obj, apply_lut=self.apply_lut)
def update_scale(self):
plot = self.plot()
axis_id = plot.Y_LEFT
source = self.get_source_image()
sdiv = source.plot().axisScaleDiv(axis_id)
plot.setAxisScale(axis_id, sdiv.lowerBound(), sdiv.upperBound())
plot.replot()
LUT_AXIS_TITLE = _("LUT scale")+(" (0-%d)" % LUT_MAX)
class CrossSectionPlot(CurvePlot):
"""Cross section plot"""
CURVE_LABEL = _("Cross section")
LABEL_TEXT = _("Enable a marker")
_height = None
_width = None
CS_AXIS = None
Z_AXIS = None
Z_MAX_MAJOR = 5
CURVETYPE = None
SHADE = .2
def __init__(self, parent=None):
super(CrossSectionPlot, self).__init__(parent=parent, title="",
section="cross_section")
self.perimage_mode = True
self.autoscale_mode = True
self.autorefresh_mode = True
self.apply_lut = False
self.single_source = False
self.last_obj = None
self.known_items = {}
self._shapes = {}
self.curveparam = CurveParam(_("Curve"), icon="curve.png")
self.set_curve_style("cross_section", "curve")
if self._height is not None:
self.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Minimum)
elif self._width is not None:
self.setSizePolicy(QSizePolicy.Minimum, QSizePolicy.Expanding)
self.label = make.label(self.LABEL_TEXT, "C", (0, 0), "C")
self.label.set_readonly(True)
self.add_item(self.label)
self.setAxisMaxMajor(self.Z_AXIS, self.Z_MAX_MAJOR)
self.setAxisMaxMinor(self.Z_AXIS, 0)
def set_curve_style(self, section, option):
self.curveparam.read_config(CONF, section, option)
self.curveparam.curvetype = self.CURVETYPE
self.curveparam.label = self.CURVE_LABEL
def connect_plot(self, plot):
if not isinstance(plot, ImagePlot):
# Connecting only to image plot widgets (allow mixing image and
# curve widgets for the same plot manager -- e.g. in pyplot)
return
self.connect(plot, SIG_ITEMS_CHANGED, self.items_changed)
self.connect(plot, SIG_LUT_CHANGED, self.lut_changed)
self.connect(plot, SIG_MASK_CHANGED, lambda item: self.update_plot())
self.connect(plot, SIG_ACTIVE_ITEM_CHANGED, self.active_item_changed)
self.connect(plot, SIG_MARKER_CHANGED, self.marker_changed)
self.connect(plot, SIG_ANNOTATION_CHANGED, self.shape_changed)
self.connect(plot, SIG_PLOT_LABELS_CHANGED, self.plot_labels_changed)
self.connect(plot, SIG_AXIS_DIRECTION_CHANGED, self.axis_dir_changed)
self.plot_labels_changed(plot)
for axis_id in plot.AXIS_IDS:
self.axis_dir_changed(plot, axis_id)
self.items_changed(plot)
def register_shape(self, plot, shape, final, refresh=True):
known_shapes = self._shapes.get(plot, [])
if shape in known_shapes:
return
self._shapes[plot] = known_shapes+[shape]
self.update_plot(shape, refresh=refresh and self.autorefresh_mode)
def unregister_shape(self, shape):
for plot in self._shapes:
shapes = self._shapes[plot]
if shape in shapes:
shapes.pop(shapes.index(shape))
if len(shapes) == 0 or shape is self.get_last_obj():
for curve in self.get_cross_section_curves():
curve.clear_data()
self.replot()
break
def create_cross_section_item(self):
raise NotImplementedError
def add_cross_section_item(self, source):
curve = self.create_cross_section_item()
curve.set_source_image(source)
curve.set_readonly(True)
self.add_item(curve, z=0)
self.known_items[source] = curve
def get_cross_section_curves(self):
return list(self.known_items.values())
def items_changed(self, plot):
# Del obsolete cross section items
new_sources = plot.get_items(item_type=ICSImageItemType)
for source in self.known_items.copy():
if source not in new_sources:
curve = self.known_items.pop(source)
curve.clear_data() # useful to emit SIG_CS_CURVE_CHANGED
# (eventually notify other panels that the
# cross section curve is now empty)
self.del_item(curve)
if not new_sources:
self.replot()
return
self.curveparam.shade = self.SHADE/len(new_sources)
for source in new_sources:
if source not in self.known_items and source.isVisible():
if not self.single_source or not self.known_items:
self.add_cross_section_item(source=source)
def active_item_changed(self, plot):
"""Active item has just changed"""
self.shape_changed(plot.get_active_item())
def plot_labels_changed(self, plot):
"""Plot labels have changed"""
raise NotImplementedError
def axis_dir_changed(self, plot, axis_id):
"""An axis direction has changed"""
raise NotImplementedError
def marker_changed(self, marker):
self.update_plot(marker)
def is_shape_known(self, shape):
for shapes in list(self._shapes.values()):
if shape in shapes:
return True
else:
return False
def shape_changed(self, shape):
if self.autorefresh_mode:
if self.is_shape_known(shape):
self.update_plot(shape)
def get_last_obj(self):
if self.last_obj is not None:
return self.last_obj()
def update_plot(self, obj=None, refresh=True):
"""
Update cross section curve(s) associated to object *obj*
*obj* may be a marker or a rectangular shape
(see :py:class:`guiqwt.tools.CrossSectionTool`
and :py:class:`guiqwt.tools.AverageCrossSectionTool`)
If obj is None, update the cross sections of the last active object
"""
if obj is None:
obj = self.get_last_obj()
if obj is None:
return
else:
self.last_obj = weakref.ref(obj)
if obj.plot() is None:
self.unregister_shape(obj)
return
if self.label.isVisible():
self.label.hide()
for index, (_item, curve) in enumerate(iter(list(self.known_items.items()))):
if not self.perimage_mode and index > 0:
curve.hide()
else:
curve.show()
curve.perimage_mode = self.perimage_mode
curve.autoscale_mode = self.autoscale_mode
curve.apply_lut = self.apply_lut
if refresh:
curve.update_item(obj)
if self.autoscale_mode:
self.do_autoscale(replot=True)
if self.apply_lut:
self.set_axis_title(self.Z_AXIS, LUT_AXIS_TITLE)
self.set_axis_color(self.Z_AXIS, "red")
else:
self.plot_labels_changed(obj.plot())
def toggle_perimage_mode(self, state):
self.perimage_mode = state
self.update_plot()
def toggle_autoscale(self, state):
self.autoscale_mode = state
self.update_plot()
def toggle_autorefresh(self, state):
self.autorefresh_mode = state
if state:
self.update_plot()
def toggle_apply_lut(self, state):
self.apply_lut = state
self.update_plot()
def lut_changed(self, plot):
if self.apply_lut:
self.update_plot()
class HorizontalCrossSectionPlot(CrossSectionPlot):
CS_AXIS = CurvePlot.X_BOTTOM
Z_AXIS = CurvePlot.Y_LEFT
CURVETYPE = "Yfx"
def plot_labels_changed(self, plot):
"""Plot labels have changed"""
self.set_axis_title("left", plot.get_axis_title("right"))
self.set_axis_title("bottom", plot.get_axis_title("bottom"))
self.set_axis_color("left", plot.get_axis_color("right"))
self.set_axis_color("bottom", plot.get_axis_color("bottom"))
def axis_dir_changed(self, plot, axis_id):
"""An axis direction has changed"""
if axis_id == plot.X_BOTTOM:
self.set_axis_direction("bottom", plot.get_axis_direction("bottom"))
self.replot()
class VerticalCrossSectionPlot(CrossSectionPlot):
CS_AXIS = CurvePlot.Y_LEFT
Z_AXIS = CurvePlot.X_BOTTOM
Z_MAX_MAJOR = 3
CURVETYPE = "Xfy"
def plot_labels_changed(self, plot):
"""Plot labels have changed"""
self.set_axis_title("bottom", plot.get_axis_title("right"))
self.set_axis_title("left", plot.get_axis_title("left"))
self.set_axis_color("bottom", plot.get_axis_color("right"))
self.set_axis_color("left", plot.get_axis_color("left"))
def axis_dir_changed(self, plot, axis_id):
"""An axis direction has changed"""
if axis_id == plot.Y_LEFT:
self.set_axis_direction("left", plot.get_axis_direction("left"))
self.replot()
class XCrossSectionPlot(HorizontalCrossSectionPlot):
"""X-axis cross section plot"""
_height = 130
def sizeHint(self):
return QSize(self.width(), self._height)
def create_cross_section_item(self):
return XCrossSectionItem(self.curveparam)
class YCrossSectionPlot(VerticalCrossSectionPlot):
"""Y-axis cross section plot"""
_width = 140
def sizeHint(self):
return QSize(self._width, self.height())
def create_cross_section_item(self):
return YCrossSectionItem(self.curveparam)
class CrossSectionWidget(PanelWidget):
PANEL_ID = None
PANEL_TITLE = _("Cross section tool")
PANEL_ICON = "csection.png"
CrossSectionPlotKlass = None
__implements__ = (IPanel,)
def __init__(self, parent=None):
super(CrossSectionWidget, self).__init__(parent)
self.export_ac = None
self.autoscale_ac = None
self.refresh_ac = None
self.autorefresh_ac = None
self.manager = None # manager for the associated image plot
self.local_manager = PlotManager(self)
self.cs_plot = self.CrossSectionPlotKlass(parent)
self.connect(self.cs_plot, SIG_CS_CURVE_CHANGED,
self.cs_curve_has_changed)
self.export_tool = None
self.setup_plot()
self.toolbar = QToolBar(self)
self.toolbar.setOrientation(Qt.Vertical)
self.setup_widget()
def set_options(self, autoscale=None, autorefresh=None):
assert self.manager is not None, "Panel '%s' must be registered to plot manager before changing options" % self.PANEL_ID
if autoscale is not None:
self.autoscale_ac.setChecked(autoscale)
if autorefresh is not None:
self.autorefresh_ac.setChecked(autorefresh)
def setup_plot(self):
# Configure the local manager
lman = self.local_manager
lman.add_plot(self.cs_plot)
lman.register_all_curve_tools()
self.export_tool = lman.get_tool(ExportItemDataTool)
def setup_widget(self):
layout = QHBoxLayout()
layout.addWidget(self.cs_plot)
layout.addWidget(self.toolbar)
layout.setContentsMargins(0, 0, 0, 0)
self.setLayout(layout)
def cs_curve_has_changed(self, curve):
"""Cross section curve has just changed"""
# Do something with curve's data for example
pass
def register_panel(self, manager):
"""Register panel to plot manager"""
self.manager = manager
for plot in manager.get_plots():
self.cs_plot.connect_plot(plot)
self.setup_actions()
self.add_actions_to_toolbar()
def configure_panel(self):
"""Configure panel"""
pass
def get_plot(self):
return self.manager.get_active_plot()
def setup_actions(self):
self.export_ac = self.export_tool.action
self.autoscale_ac = create_action(self, _("Auto-scale"),
icon=get_icon('csautoscale.png'),
toggled=self.cs_plot.toggle_autoscale)
self.autoscale_ac.setChecked(self.cs_plot.autoscale_mode)
self.refresh_ac = create_action(self, _("Refresh"),
icon=get_icon('refresh.png'),
triggered=lambda: self.cs_plot.update_plot())
self.autorefresh_ac = create_action(self, _("Auto-refresh"),
icon=get_icon('autorefresh.png'),
toggled=self.cs_plot.toggle_autorefresh)
self.autorefresh_ac.setChecked(self.cs_plot.autorefresh_mode)
def add_actions_to_toolbar(self):
add_actions(self.toolbar, (self.export_ac, self.autoscale_ac,
None, self.refresh_ac, self.autorefresh_ac))
def register_shape(self, shape, final, refresh=True):
plot = self.get_plot()
self.cs_plot.register_shape(plot, shape, final, refresh)
def unregister_shape(self, shape):
self.cs_plot.unregister_shape(shape)
def update_plot(self, obj=None):
"""
Update cross section curve(s) associated to object *obj*
*obj* may be a marker or a rectangular shape
(see :py:class:`guiqwt.tools.CrossSectionTool`
and :py:class:`guiqwt.tools.AverageCrossSectionTool`)
If obj is None, update the cross sections of the last active object
"""
self.cs_plot.update_plot(obj)
assert_interfaces_valid(CrossSectionWidget)
#===============================================================================
# X-Y cross sections
#===============================================================================
class XCrossSection(CrossSectionWidget):
"""X-axis cross section widget"""
PANEL_ID = ID_XCS
OTHER_PANEL_ID = ID_YCS
CrossSectionPlotKlass = XCrossSectionPlot
def __init__(self, parent=None):
super(XCrossSection, self).__init__(parent)
self.peritem_ac = None
self.applylut_ac = None
def set_options(self, autoscale=None, autorefresh=None,
peritem=None, applylut=None):
assert self.manager is not None, "Panel '%s' must be registered to plot manager before changing options" % self.PANEL_ID
if autoscale is not None:
self.autoscale_ac.setChecked(autoscale)
if autorefresh is not None:
self.autorefresh_ac.setChecked(autorefresh)
if peritem is not None:
self.peritem_ac.setChecked(peritem)
if applylut is not None:
self.applylut_ac.setChecked(applylut)
def add_actions_to_toolbar(self):
other = self.manager.get_panel(self.OTHER_PANEL_ID)
if other is None:
add_actions(self.toolbar,
(self.peritem_ac, self.applylut_ac, None,
self.export_ac, self.autoscale_ac,
self.refresh_ac, self.autorefresh_ac))
else:
add_actions(self.toolbar,
(other.peritem_ac, other.applylut_ac, None,
self.export_ac, other.autoscale_ac,
other.refresh_ac, other.autorefresh_ac))
self.connect(other.peritem_ac, SIGNAL("toggled(bool)"),
self.cs_plot.toggle_perimage_mode)
self.connect(other.applylut_ac, SIGNAL("toggled(bool)"),
self.cs_plot.toggle_apply_lut)
self.connect(other.autoscale_ac, SIGNAL("toggled(bool)"),
self.cs_plot.toggle_autoscale)
self.connect(other.refresh_ac, SIGNAL("triggered()"),
lambda: self.cs_plot.update_plot())
self.connect(other.autorefresh_ac, SIGNAL("toggled(bool)"),
self.cs_plot.toggle_autorefresh)
def closeEvent(self, event):
self.hide()
event.ignore()
def setup_actions(self):
CrossSectionWidget.setup_actions(self)
self.peritem_ac = create_action(self, _("Per image cross-section"),
icon=get_icon('csperimage.png'),
toggled=self.cs_plot.toggle_perimage_mode,
tip=_("Enable the per-image cross-section mode, "
"which works directly on image rows/columns.\n"
"That is the fastest method to compute "
"cross-section curves but it ignores "
"image transformations (e.g. rotation)"))
self.applylut_ac = create_action(self,
_("Apply LUT\n(contrast settings)"),
icon=get_icon('csapplylut.png'),
toggled=self.cs_plot.toggle_apply_lut,
tip=_("Apply LUT (Look-Up Table) contrast settings.\n"
"This is the easiest way to compare images "
"which have slightly different level ranges.\n\n"
"Note: LUT is coded over 1024 levels (0...1023)"))
self.peritem_ac.setChecked(True)
self.applylut_ac.setChecked(False)
class YCrossSection(XCrossSection):
"""
Y-axis cross section widget
parent (QWidget): parent widget
position (string): "left" or "right"
"""
PANEL_ID = ID_YCS
OTHER_PANEL_ID = ID_XCS
CrossSectionPlotKlass = YCrossSectionPlot
def __init__(self, parent=None, position="right", xsection_pos="top"):
self.xsection_pos = xsection_pos
self.spacer = QSpacerItem(0, 0)
super(YCrossSection, self).__init__(parent)
self.cs_plot.set_axis_direction("bottom", reverse=position == "left")
def setup_widget(self):
toolbar = self.toolbar
toolbar.setOrientation(Qt.Horizontal)
layout = QVBoxLayout()
if self.xsection_pos == "top":
layout.addSpacerItem(self.spacer)
layout.addWidget(toolbar)
layout.addWidget(self.cs_plot)
if self.xsection_pos == "bottom":
layout.addSpacerItem(self.spacer)
layout.setContentsMargins(0, 0, 0, 0)
self.setLayout(layout)
def adjust_height(self, height):
self.spacer.changeSize(0, height, QSizePolicy.Fixed, QSizePolicy.Fixed)
self.layout().invalidate()
#===============================================================================
# Oblique cross sections
#===============================================================================
DEBUG = False
TEMP_ITEM = None
def compute_oblique_section(item, obj):
"""Return oblique averaged cross section"""
global TEMP_ITEM
xa, ya, xb, yb = obj.get_bounding_rect_coords()
x0, y0, x1, y1, x2, y2, x3, y3 = obj.get_rect()
getcpi = item.get_closest_pixel_indexes
ixa, iya = getcpi(xa, ya)
ixb, iyb = getcpi(xb, yb)
ix0, iy0 = getcpi(x0, y0)
ix1, iy1 = getcpi(x1, y1)
ix3, iy3 = getcpi(x3, y3)
destw = vector_norm(ix0, iy0, ix1, iy1)
desth = vector_norm(ix0, iy0, ix3, iy3)
ysign = -1 if obj.plot().get_axis_direction('left') else 1
angle = vector_angle(ix1-ix0, (iy1-iy0)*ysign)
dst_rect = (0, 0, int(destw), int(desth))
dst_image = np.empty((desth, destw), dtype=np.float64)
if isinstance(item.data, np.ma.MaskedArray):
if item.data.dtype in (np.float32, np.float64):
item_data = item.data
else:
item_data = np.ma.array(item.data, dtype=np.float32, copy=True)
data = np.ma.filled(item_data, np.nan)
else:
data = item.data
ixr = .5*(ixb+ixa)
iyr = .5*(iyb+iya)
mat = translate(ixr, iyr)*rotate(-angle)*translate(-.5*destw, -.5*desth)
_scale_tr(data, mat, dst_image, dst_rect,
(1., 0., np.nan), (INTERP_LINEAR,))
if DEBUG:
plot = obj.plot()
if TEMP_ITEM is None:
from guiqwt.builder import make
TEMP_ITEM = make.image(dst_image)
plot.add_item(TEMP_ITEM)
else:
TEMP_ITEM.set_data(dst_image)
if False:
TEMP_ITEM.imageparam.alpha_mask = True
xmin, ymin = ixa, iya
xmax, ymax = xmin+destw, ymin+desth
TEMP_ITEM.imageparam.xmin = xmin
TEMP_ITEM.imageparam.xmax = xmax
TEMP_ITEM.imageparam.ymin = ymin
TEMP_ITEM.imageparam.ymax = ymax
TEMP_ITEM.imageparam.update_image(TEMP_ITEM)
plot.replot()
ydata = np.ma.fix_invalid(dst_image, copy=DEBUG).mean(axis=1)
xdata = item.get_x_values(0, ydata.size)[:ydata.size]
try:
xdata -= xdata[0]
except IndexError:
print(xdata, ydata)
return xdata, ydata
# Oblique cross section item
class ObliqueCrossSectionItem(CrossSectionItem):
"""A Qwt item representing radially-averaged cross section data"""
def __init__(self, curveparam=None, errorbarparam=None):
CrossSectionItem.__init__(self, curveparam, errorbarparam)
def update_curve_data(self, obj):
source = self.get_source_image()
rect = obj.get_bounding_rect_coords()
if rect is not None and source.data is not None:
# x0, y0, x1, y1 = rect
# angle = obj.get_tr_angle()
sectx, secty = compute_oblique_section(source, obj)
if secty.size == 0 or np.all(np.isnan(secty)):
sectx, secty = np.array([]), np.array([])
self.process_curve_data(sectx, secty, None, None)
def update_scale(self):
pass
# Oblique cross section plot
class ObliqueCrossSectionPlot(HorizontalCrossSectionPlot):
"""Oblique averaged cross section plot"""
PLOT_TITLE = _("Oblique averaged cross section")
CURVE_LABEL = _("Oblique averaged cross section")
LABEL_TEXT = _("Activate the oblique cross section tool")
def __init__(self, parent=None):
super(ObliqueCrossSectionPlot, self).__init__(parent)
self.set_title(self.PLOT_TITLE)
self.single_source = True
def create_cross_section_item(self):
return ObliqueCrossSectionItem(self.curveparam)
def axis_dir_changed(self, plot, axis_id):
"""An axis direction has changed"""
pass
# Oblique cross section panel
class ObliqueCrossSection(CrossSectionWidget):
"""Oblique averaged cross section widget"""
PANEL_ID = ID_OCS
CrossSectionPlotKlass = ObliqueCrossSectionPlot
PANEL_ICON = "csection_oblique.png"
guiqwt-2.3.1/guiqwt/signals.py 0000666 0000000 0000000 00000015044 12144123504 015071 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2010 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
"""
guiqwt.signals
--------------
The `signals` module contains constants defining the custom Qt SIGNAL objects
used by `guiqwt`: the signals definition are gathered here to avoid mispelling
signals at connect and emit sites.
Signals available:
:py:data:`guiqwt.signals.SIG_ITEM_MOVED`
Emitted by plot when an IBasePlotItem-like object was moved from
(x0, y0) to (x1, y1)
Arguments: item object, x0, y0, x1, y1
:py:data:`guiqwt.signals.SIG_MARKER_CHANGED`
Emitted by plot when a `guiqwt.shapes.Marker` position changes
Arguments: `guiqwt.shapes.Marker` object
:py:data:`guiqwt.signals.SIG_AXES_CHANGED`
Emitted by plot when a `guiqwt.shapes.Axes` position (or angle) changes
Arguments: `guiqwt.shapes.Axes` object
:py:data:`guiqwt.signals.SIG_ANNOTATION_CHANGED`
Emitted by plot when an annotations.AnnotatedShape position changes
Arguments: annotation item
:py:data:`guiqwt.signals.SIG_RANGE_CHANGED`
Emitted by plot when a shapes.XRangeSelection range changes
Arguments: range object, lower_bound, upper_bound
:py:data:`guiqwt.signals.SIG_ITEMS_CHANGED`
Emitted by plot when item list has changed (item removed, added, ...)
Arguments: plot
:py:data:`guiqwt.signals.SIG_ACTIVE_ITEM_CHANGED`
Emitted by plot when selected item has changed
Arguments: plot
:py:data:`guiqwt.signals.SIG_ITEM_REMOVED`
Emitted by plot when an item was deleted from the itemlist or using
the delete item tool
Arguments: removed item
:py:data:`guiqwt.signals.SIG_ITEM_SELECTION_CHANGED`
Emitted by plot when an item is selected
Arguments: plot
:py:data:`guiqwt.signals.SIG_PLOT_LABELS_CHANGED`
Emitted (by plot) when plot's title or any axis label has changed
Arguments: plot
:py:data:`guiqwt.signals.SIG_AXIS_DIRECTION_CHANGED`
Emitted (by plot) when any plot axis direction has changed
Arguments: plot
:py:data:`guiqwt.signals.SIG_VOI_CHANGED`
Emitted by "contrast" panel's histogram when the lut range of some items
changed (for now, this signal is for guiqwt.histogram module's internal
use only - the 'public' counterpart of this signal is SIG_LUT_CHANGED,
see below)
:py:data:`guiqwt.signals.SIG_LUT_CHANGED`
Emitted by plot when LUT has been changed by the user
Arguments: plot
:py:data:`guiqwt.signals.SIG_MASK_CHANGED`
Emitted by plot when image mask has changed
Arguments: MaskedImageItem object
:py:data:`guiqwt.signals.SIG_VISIBILITY_CHANGED`
Emitted for example by panels when their visibility has changed
Arguments: state (boolean)
:py:data:`guiqwt.signals.SIG_VALIDATE_TOOL`
Emitted by an interactive tool to notify that the tool has just been
"validated", i.e.
y = %.2f')
legend = make.legend("TR")
plot(curve, hcursor, vcursor, vcursor2, xcursor, legend)
if __name__ == "__main__":
test()
guiqwt-2.3.1/guiqwt/tests/test_line.py 0000666 0000000 0000000 00000002524 12144123504 016560 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2010 CEA
# Ludovic Aubry
# Licensed under the terms of the CECILL License
# (see guidata/__init__.py for details)
"""Internal test related to pcolor feature"""
from __future__ import print_function
SHOW = False # Show test in GUI-based test launcher
from guiqwt._scaler import _line_test as line
from numpy import int32, zeros
N = 10
imin = zeros((N,), int32)
imax = zeros((N,), int32)
def print_tri(imin, imax):
for i in range(N):
for j in range(N):
if j < imin[i] or j > imax[i]:
print(".", end=' ')
else:
print("*", end=' ')
print()
def test_line(x0, y0, x1, y1):
print(x0, ",", y0, "->", x1, ",", y1)
imin[:] = N
imax[:] = 0
line(x0, y0, x1, y1, N, imin, imax)
print_tri(imin, imax)
if __name__ == '__main__':
test_line(0, 0, 9, 9)
test_line(9, 9, 0, 0)
test_line(0, 5, 0, 9)
test_line(2, 5, 7, 5)
test_line(0, 1, 2, 9)
def test_tri(x0, y0, x1, y1, x2, y2):
print(x0, ",", y0, "->", x1, ",", y1)
imin[:] = N+1
imax[:] = -1
line(x0, y0, x1, y1, N, imin, imax)
line(x0, y0, x2, y2, N, imin, imax)
line(x1, y1, x2, y2, N, imin, imax)
print_tri(imin, imax)
if __name__ == '__main__':
test_tri(0, 1, 2, 9, 8, 7)
guiqwt-2.3.1/guiqwt/tests/plot_yreverse.py 0000666 0000000 0000000 00000001511 12144123504 017467 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2010 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
"""Reverse y-axis test for curve plotting"""
SHOW = False # Do not show test in GUI-based test launcher
from guiqwt.plot import CurveDialog
from guiqwt.builder import make
def test():
"""Test"""
# -- Create QApplication
import guidata
_app = guidata.qapplication()
# --
import numpy as np
x = np.linspace(-10, 10, 200)
y = x*np.exp(-x)
item = make.curve(x, y, color="b")
win = CurveDialog()
plot = win.get_plot()
plot.add_item(item)
plot.set_axis_direction("left", True)
plot.set_axis_direction("bottom", True)
win.show()
win.exec_()
if __name__ == "__main__":
test()
guiqwt-2.3.1/guiqwt/tests/mandelbrot.py 0000666 0000000 0000000 00000005246 12144123504 016725 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2010 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
"""Mandelbrot demo"""
SHOW = True # Show test in GUI-based test launcher
import numpy as np
from guidata.qt.QtCore import QRectF, QPointF
from guiqwt.config import _
from guiqwt.plot import ImageDialog
from guiqwt.image import RawImageItem
from guiqwt.tools import ToggleTool
from guiqwt.mandelbrot import mandelbrot
class FullScale(ToggleTool):
def __init__(self, parent, image):
super(FullScale, self).__init__(parent, _("MAX resolution"), None)
self.image = image
self.minprec = image.IMAX
self.maxprec = 5*image.IMAX
def activate_command(self, plot, checked):
if self.image.IMAX == self.minprec:
self.image.IMAX = self.maxprec
else:
self.image.IMAX = self.minprec
self.image.set_lut_range([0, self.image.IMAX])
plot.replot()
def update_status(self, plot):
self.action.setChecked(self.image.IMAX == self.maxprec)
class MandelItem(RawImageItem):
def __init__(self, xmin, xmax, ymin, ymax):
super(MandelItem, self).__init__(np.zeros((1, 1), np.uint8))
self.bounds = QRectF(QPointF(xmin, ymin),
QPointF(xmax, ymax))
self.update_border()
self.IMAX = 80
self.set_lut_range([0, self.IMAX])
#---- QwtPlotItem API ------------------------------------------------------
def draw_image(self, painter, canvasRect, srcRect, dstRect, xMap, yMap):
x1, y1 = canvasRect.left(), canvasRect.top()
x2, y2 = canvasRect.right(), canvasRect.bottom()
i1, j1, i2, j2 = srcRect
NX = x2-x1
NY = y2-y1
if self.data.shape != (NX, NY):
self.data = np.zeros((NY, NX), np.uint8)
mandelbrot(i1, j1, i2, j2, self.data, self.IMAX)
srcRect = (0, 0, NX, NY)
x1, y1, x2, y2 = canvasRect.getCoords()
RawImageItem.draw_image(self, painter, canvasRect,
srcRect, (x1, y1, x2, y2), xMap, yMap)
def mandel():
win = ImageDialog(edit=True, toolbar=True, wintitle="Mandelbrot",
options=dict(yreverse=False))
mandel = MandelItem(-1.5, .5, -1., 1.)
win.add_tool(FullScale, mandel)
plot = win.get_plot()
plot.set_aspect_ratio(lock=False)
plot.add_item(mandel)
plot.set_full_scale(mandel)
win.show()
win.exec_()
if __name__ == "__main__":
import guidata
_app = guidata.qapplication()
mandel()
guiqwt-2.3.1/guiqwt/tests/imagexy.py 0000666 0000000 0000000 00000003376 12144123504 016243 0 ustar root root # -*- coding: utf-8 -*-
#
# Copyright © 2009-2010 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
"""Image with custom X/Y axes linear scales"""
from __future__ import print_function
SHOW = True # Show test in GUI-based test launcher
from guiqwt.plot import ImageDialog
from guiqwt.builder import make
import numpy as np
def imshow( x, y, data ):
win = ImageDialog(edit=False, toolbar=True,
wintitle="Image with custom X/Y axes scales",
options=dict(xlabel="x (a.u.)", ylabel="y (a.u.)",
yreverse=False))
item = make.xyimage(x, y, data)
plot = win.get_plot()
plot.add_item(item)
win.show()
win.exec_()
def compute_image():
N = 2000
T = np.float32
x = np.array(np.linspace(-5, 5, N), T)
img = np.zeros( (N, N), T )
x.shape = (1, N)
img += x**2
x.shape = (N, 1)
img += x**2
img = np.cos(img)
x.shape = (N,)
for k in range( -5, 5 ):
i = x.searchsorted(k)
if k < 0 :
v = -1.1
else:
v = 1.1
img[i,:] = v
img[:, i] = v
m1, m2, m3, m4 = -1.1, -0.3, 0.3, 1.1
K = 100
img[:K, :K] = m1 # (0,0)
img[:K, -K:] = m2 # (0,N)
img[-K:, -K:] = m3 # (N,N)
img[-K:, :K] = m4 # (N,0)
#img = array( 30000*(img+1.1), uint16 )
img = img + np.random.normal(0., 0.05, size=(N, N))
print(img.dtype)
return x, (x+5)**0.6, img
def test():
"""Test"""
# -- Create QApplication
import guidata
_app = guidata.qapplication()
# --
imshow(*compute_image())
if __name__ == "__main__":
test()
guiqwt-2.3.1/guiqwt/tests/qtdesigner.ui 0000666 0000000 0000000 00000001670 12144123504 016725 0 ustar root root
Simple signal and image processing application based on guiqwt and guidata""")
VERSION = '0.2.6'
def normalize(yin, parameter='maximum'):
"""
Normalize input array *yin* with respect to parameter *parameter*
Support values for *parameter*:
'maximum' (default), 'amplitude', 'sum', 'energy'
"""
axis = len(yin.shape)-1
if parameter == 'maximum':
maximum = np.max(yin, axis)
if axis == 1:
maximum = maximum.reshape((len(maximum), 1))
maxarray = np.tile(maximum, yin.shape[axis]).reshape(yin.shape)
return yin / maxarray
elif parameter == 'amplitude':
ytemp = np.array(yin, copy=True)
minimum = np.min(yin, axis)
if axis == 1:
minimum = minimum.reshape((len(minimum), 1))
ytemp -= minimum
return normalize(ytemp, parameter='maximum')
elif parameter == 'sum':
return yin/yin.sum()
elif parameter == 'energy':
return yin/(yin*yin.conjugate()).sum()
else:
raise RuntimeError("Unsupported parameter %s" % parameter)
def xy_fft(x, y):
"""Compute FFT on X,Y data"""
y1 = np.fft.fft(y)
x1 = np.fft.fftshift(np.fft.fftfreq(x.shape[-1], d=x[1]-x[0]))
return x1, y1
def xy_ifft(x, y):
"""Compute iFFT on X,Y data"""
y1 = np.fft.ifft(y)
x1 = np.fft.fftshift(np.fft.fftfreq(x.shape[-1], d=x[1]-x[0]))
return x1, y1
def flatfield(rawdata, flatdata):
"""Compute flat-field correction"""
dtemp = np.array(rawdata, dtype=np.float64, copy=True)*flatdata.mean()
dunif = np.array(flatdata, dtype=np.float64, copy=True)
dunif[dunif == 0] = 1.
return np.array(dtemp/dunif, dtype=rawdata.dtype)
class SignalParam(DataSet):
title = StringItem(_("Title"), default=_("Untitled"))
xydata = FloatArrayItem(_("Data"), transpose=True, minmax="rows")
def copy_data_from(self, other, dtype=None):
self.xydata = np.array(other.xydata, copy=True, dtype=dtype)
def change_data_type(self, dtype):
self.xydata = np.array(self.xydata, dtype=dtype)
def get_data(self):
if self.xydata is not None:
return self.xydata[1]
def set_data(self, data):
self.xydata[1] = data
data = property(get_data, set_data)
class SignalParamNew(DataSet):
title = StringItem(_("Title"), default=_("Untitled"))
xmin = FloatItem("Xmin", default=-10.)
xmax = FloatItem("Xmax", default=10.)
size = IntItem(_("Size"), help=_("Signal size (total number of points)"),
min=1, default=500)
type = ChoiceItem(_("Type"),
(("rand", _("random")), ("zeros", _("zeros")),
("gauss", _("gaussian"))))
class ImageParam(DataSet):
title = StringItem(_("Title"), default=_("Untitled"))
data = FloatArrayItem(_("Data"))
metadata = DictItem(_("Metadata"), default=None)
def copy_data_from(self, other, dtype=None):
self.data = np.array(other.data, copy=True, dtype=dtype)
def change_data_type(self, dtype):
self.data = np.array(self.data, dtype=dtype)
class ImageParamNew(DataSet):
title = StringItem(_("Title"), default=_("Untitled"))
height = IntItem(_("Height"), help=_("Image height (total number of rows)"),
min=1, default=500)
width = IntItem(_("Width"), help=_("Image width (total number of columns)"),
min=1, default=500)
dtype = ChoiceItem(_("Data type"),
((np.uint8, "uint8"), (np.int16, "uint16"),
(np.float32, "float32"), (np.float64, "float64"),
))
type = ChoiceItem(_("Type"),
(("zeros", _("zeros")), ("empty", _("empty")),
("rand", _("random")),
))
class ObjectFT(QSplitter):
"""Object handling the item list, the selected item properties and plot"""
PARAMCLASS = None
PREFIX = None
def __init__(self, parent, plot):
super(ObjectFT, self).__init__(Qt.Vertical, parent)
self.plot = plot
self.objects = [] # signals or images
self.items = [] # associated plot items
self.listwidget = None
self.properties = None
self._hsplitter = None
self.file_actions = None
self.edit_actions = None
self.operation_actions = None
self.processing_actions = None
self.number = 0
# Object selection dependent actions
self.actlist_1more = []
self.actlist_2more = []
self.actlist_1 = []
self.actlist_2 = []
#------Setup widget, menus, actions
def setup(self, toolbar):
self.listwidget = QListWidget()
self.listwidget.setAlternatingRowColors(True)
self.listwidget.setSelectionMode(QListWidget.ExtendedSelection)
self.properties = DataSetEditGroupBox(_("Properties"), self.PARAMCLASS)
self.properties.setEnabled(False)
self.connect(self.listwidget, SIGNAL("currentRowChanged(int)"),
self.current_item_changed)
self.connect(self.listwidget, SIGNAL("itemSelectionChanged()"),
self.selection_changed)
self.connect(self.properties, SIGNAL("apply_button_clicked()"),
self.properties_changed)
properties_stretched = QWidget()
hlayout = QHBoxLayout()
hlayout.addWidget(self.properties)
# hlayout.addStretch()
vlayout = QVBoxLayout()
vlayout.addLayout(hlayout)
vlayout.addStretch()
properties_stretched.setLayout(vlayout)
self.addWidget(self.listwidget)
self.addWidget(properties_stretched)
# Edit actions
duplicate_action = create_action(self, _("Duplicate"),
icon=get_icon('copy.png'),
triggered=self.duplicate_object)
self.actlist_1 += [duplicate_action]
remove_action = create_action(self, _("Remove"),
icon=get_icon('delete.png'),
triggered=self.remove_object)
self.actlist_1more += [remove_action]
self.edit_actions = [duplicate_action, remove_action]
# Operation actions
sum_action = create_action(self, _("Sum"), triggered=self.compute_sum)
average_action = create_action(self, _("Average"),
triggered=self.compute_average)
diff_action = create_action(self, _("Difference"),
triggered=self.compute_difference)
prod_action = create_action(self, _("Product"),
triggered=self.compute_product)
div_action = create_action(self, _("Division"),
triggered=self.compute_division)
self.actlist_2more += [sum_action, average_action, prod_action]
self.actlist_2 += [diff_action, div_action]
self.operation_actions = [sum_action, average_action,
diff_action, prod_action, div_action]
#------GUI refresh/setup
def current_item_changed(self, row):
if row != -1:
update_dataset(self.properties.dataset, self.objects[row])
self.properties.get()
def _get_selected_rows(self):
return [index.row() for index in
self.listwidget.selectionModel().selectedRows()]
def selection_changed(self):
"""Signal list: selection changed"""
row = self.listwidget.currentRow()
self.properties.setDisabled(row == -1)
self.refresh_plot()
nbrows = len(self._get_selected_rows())
for act in self.actlist_1more:
act.setEnabled(nbrows >= 1)
for act in self.actlist_2more:
act.setEnabled(nbrows >= 2)
for act in self.actlist_1:
act.setEnabled(nbrows == 1)
for act in self.actlist_2:
act.setEnabled(nbrows == 2)
def make_item(self, row):
raise NotImplementedError
def update_item(self, row):
raise NotImplementedError
def refresh_plot(self):
for item in self.items:
if item is not None:
item.hide()
for row in self._get_selected_rows():
item = self.items[row]
if item is None:
item = self.make_item(row)
self.plot.add_item(item)
else:
self.update_item(row)
self.plot.set_item_visible(item, True)
self.plot.set_active_item(item)
self.plot.do_autoscale()
def refresh_list(self, new_current_row='current'):
"""new_current_row: integer, 'first', 'last', 'current'"""
row = self.listwidget.currentRow()
self.listwidget.clear()
self.listwidget.addItems(["%s%03d: %s" % (self.PREFIX, i, obj.title)
for i, obj in enumerate(self.objects)])
if new_current_row == 'first':
row = 0
elif new_current_row == 'last':
row = self.listwidget.count()-1
elif isinstance(new_current_row, int):
row = new_current_row
else:
assert new_current_row == 'current'
if row < self.listwidget.count():
self.listwidget.setCurrentRow(row)
def properties_changed(self):
"""The properties 'Apply' button was clicked: updating signal"""
row = self.listwidget.currentRow()
update_dataset(self.objects[row], self.properties.dataset)
self.refresh_list(new_current_row='current')
self.listwidget.setCurrentRow(row)
self.refresh_plot()
def add_object(self, obj):
self.objects.append(obj)
self.items.append(None)
self.refresh_list(new_current_row='last')
self.listwidget.setCurrentRow(len(self.objects)-1)
self.emit(SIGNAL('object_added()'))
#------Edit operations
def duplicate_object(self):
row = self._get_selected_rows()[0]
obj = self.objects[row]
objcopy = self.PARAMCLASS()
objcopy.title = obj.title
objcopy.copy_data_from(obj)
self.objects.insert(row+1, objcopy)
self.items.insert(row+1, None)
self.refresh_list(new_current_row=row+1)
self.refresh_plot()
def remove_object(self):
rows = sorted(self._get_selected_rows(), reverse=True)
for row in rows:
self.objects.pop(row)
item = self.items.pop(row)
self.plot.del_item(item)
self.refresh_list(new_current_row='first')
self.refresh_plot()
#------Operations
def compute_sum(self):
rows = self._get_selected_rows()
sumobj = self.PARAMCLASS()
sumobj.title = "+".join(["%s%03d" % (self.PREFIX, row) for row in rows])
try:
for row in rows:
obj = self.objects[row]
if sumobj.data is None:
sumobj.copy_data_from(obj)
else:
sumobj.data += obj.data
except Exception as msg:
import traceback
traceback.print_exc()
QMessageBox.critical(self.parent(), APP_NAME,
_("Error:")+"\n%s" % str(msg))
return
self.add_object(sumobj)
def compute_average(self):
rows = self._get_selected_rows()
sumobj = self.PARAMCLASS()
title = ", ".join(["%s%03d" % (self.PREFIX, row) for row in rows])
sumobj.title = _("Average")+("(%s)" % title)
original_dtype = self.objects[rows[0]].data.dtype
try:
for row in rows:
obj = self.objects[row]
if sumobj.data is None:
sumobj.copy_data_from(obj, dtype=np.float64)
else:
sumobj.data += obj.data
except Exception as msg:
import traceback
traceback.print_exc()
QMessageBox.critical(self.parent(), APP_NAME,
_("Error:")+"\n%s" % str(msg))
return
sumobj.data /= float(len(rows))
sumobj.change_data_type(dtype=original_dtype)
self.add_object(sumobj)
def compute_product(self):
rows = self._get_selected_rows()
sumobj = self.PARAMCLASS()
sumobj.title = "*".join(["%s%03d" % (self.PREFIX, row) for row in rows])
try:
for row in rows:
obj = self.objects[row]
if sumobj.data is None:
sumobj.copy_data_from(obj)
else:
sumobj.data *= obj.data
except Exception as msg:
import traceback
traceback.print_exc()
QMessageBox.critical(self.parent(), APP_NAME,
_("Error:")+"\n%s" % str(msg))
return
self.add_object(sumobj)
def compute_difference(self):
rows = self._get_selected_rows()
diffobj = self.PARAMCLASS()
diffobj.title = "-".join(["%s%03d" % (self.PREFIX, row)
for row in rows])
try:
obj0, obj1 = self.objects[rows[0]], self.objects[rows[1]]
diffobj.copy_data_from(obj0)
diffobj.data = obj0.data-obj1.data
except Exception as msg:
import traceback
traceback.print_exc()
QMessageBox.critical(self.parent(), APP_NAME,
_("Error:")+"\n%s" % str(msg))
return
self.add_object(diffobj)
def compute_division(self):
rows = self._get_selected_rows()
diffobj = self.PARAMCLASS()
diffobj.title = "/".join(["%s%03d" % (self.PREFIX, row)
for row in rows])
try:
obj0, obj1 = self.objects[rows[0]], self.objects[rows[1]]
diffobj.copy_data_from(obj0)
diffobj.data = obj0.data/obj1.data
except Exception as msg:
import traceback
traceback.print_exc()
QMessageBox.critical(self.parent(), APP_NAME,
_("Error:")+"\n%s" % str(msg))
return
self.add_object(diffobj)
#------Data Processing
def apply_11_func(self, obj, orig, func, param):
if param is None:
obj.data = func(orig.data)
else:
obj.data = func(orig.data, param)
def compute_11(self, name, func, param=None, one_param_for_all=True,
suffix=None):
if param is not None and one_param_for_all:
if not param.edit(parent=self.parent()):
return
rows = self._get_selected_rows()
for row in rows:
if param is not None and not one_param_for_all:
if not param.edit(parent=self.parent()):
return
orig = self.objects[row]
obj = self.PARAMCLASS()
obj.title = "%s(%s%03d)" % (name, self.PREFIX, row)
if suffix is not None:
obj.title += "|"+suffix(param)
obj.copy_data_from(orig)
self.emit(SIGNAL("status_message(QString)"),
_("Computing:")+" "+obj.title)
QApplication.setOverrideCursor(QCursor(Qt.WaitCursor))
self.repaint()
try:
self.apply_11_func(obj, orig, func, param)
except Exception as msg:
import traceback
traceback.print_exc()
QMessageBox.critical(self.parent(), APP_NAME,
_("Error:")+"\n%s" % str(msg))
return
finally:
self.emit(SIGNAL("status_message(QString)"), "")
QApplication.restoreOverrideCursor()
self.add_object(obj)
class SignalFT(ObjectFT):
PARAMCLASS = SignalParam
PREFIX = "s"
#------ObjectFT API
def setup(self, toolbar):
ObjectFT.setup(self, toolbar)
# File actions
new_action = create_action(self, _("New signal..."),
icon=get_icon('filenew.png'),
tip=_("Create a new signal"),
triggered=self.new_signal)
open_action = create_action(self, _("Open signal..."),
icon=get_icon('fileopen.png'),
tip=_("Open a signal"),
triggered=self.open_signal)
save_action = create_action(self, _("Save signal..."),
icon=get_icon('filesave.png'),
tip=_("Save selected signal"),
triggered=self.save_signal)
self.actlist_1more += [save_action]
self.file_actions = [new_action, open_action, save_action]
# Operation actions
roi_action = create_action(self, _("ROI extraction"),
triggered=self.extract_roi)
swapaxes_action = create_action(self, _("Swap X/Y axes"),
triggered=self.swap_axes)
self.actlist_1more += [roi_action, swapaxes_action]
self.operation_actions += [None, roi_action, swapaxes_action]
# Processing actions
normalize_action = create_action(self, _("Normalize"),
triggered=self.normalize)
lincal_action = create_action(self, _("Linear calibration"),
triggered=self.calibrate)
gaussian_action = create_action(self, _("Gaussian filter"),
triggered=self.compute_gaussian)
wiener_action = create_action(self, _("Wiener filter"),
triggered=self.compute_wiener)
fft_action = create_action(self, _("FFT"),
tip=_("Warning: only real part is plotted"),
triggered=self.compute_fft)
ifft_action = create_action(self, _("Inverse FFT"),
tip=_("Warning: only real part is plotted"),
triggered=self.compute_ifft)
self.actlist_1more += [normalize_action, lincal_action,
gaussian_action, wiener_action,
fft_action, ifft_action]
self.processing_actions = [normalize_action, lincal_action, None,
gaussian_action, wiener_action,
fft_action, ifft_action]
add_actions(toolbar, [new_action, open_action, save_action])
def make_item(self, row):
signal = self.objects[row]
data = signal.xydata
if len(data) == 2: # x, y signal
x, y = data
item = make.mcurve(x, y.real, label=signal.title)
elif len(data) == 4: # x, y, dx, dy error bar signal
x, y, dx, dy = data
item = make.merror(x, y.real, dx, dy, label=signal.title)
else:
raise RuntimeError("data not supported")
self.items[row] = item
return item
def update_item(self, row):
signal = self.objects[row]
item = self.items[row]
data = signal.xydata
if len(data) == 2: # x, y signal
x, y = data
item.set_data(x, y.real)
elif len(data) == 4: # x, y, dx, dy error bar signal
x, y, dx, dy = data
item.set_data(x, y.real, dx, dy)
item.curveparam.label = signal.title
#------Signal operations
def extract_roi(self):
class ROIParam(DataSet):
row1 = IntItem(_("First row index"), default=0, min=-1)
row2 = IntItem(_("Last row index"), default=-1, min=-1)
param = ROIParam(_("ROI extraction"))
self.compute_11("ROI", lambda x, y, p: (x.copy()[p.row1:p.row2],
y.copy()[p.row1:p.row2]),
param, suffix=lambda p:
"rows=%d:%d" % (p.row1, p.row2))
def swap_axes(self):
self.compute_11("SwapAxes", lambda x, y: (y, x))
#------Signal Processing
def apply_11_func(self, obj, signal, func, param):
data = signal.xydata
if len(data) == 2: # x, y signal
x, y = data
if param is None:
obj.xydata = func(x, y)
else:
obj.xydata = func(x, y, param)
elif len(data) == 4: # x, y, dx, dy error bar signal
x, y, dx, dy = data
if param is None:
x2, y2 = func(x, y)
_x3, dy2 = func(x, dy)
else:
x2, y2 = func(x, y, param)
dx2, dy2 = func(dx, dy, param)
obj.xydata = x2, y2, dx, dy2
def normalize(self):
methods = ((_("maximum"), 'maximum'),
(_("amplitude"), 'amplitude'),
(_("sum"), 'sum'),
(_("energy"), 'energy'))
class NormalizeParam(DataSet):
method = ChoiceItem(_("Normalize with respect to"), methods)
param = NormalizeParam(_("Normalize"))
def func(x, y, p):
return x, normalize(y, p.method)
self.compute_11("Normalize", func, param,
suffix=lambda p: "ref=%s" % p.method)
def calibrate(self):
axes = (('x', _("X-axis")), ('y', _("Y-axis")))
class CalibrateParam(DataSet):
axis = ChoiceItem(_("Calibrate"), axes, default='y')
a = FloatItem('a', default=1.)
b = FloatItem('b', default=0.)
param = CalibrateParam(_("Linear calibration"), "y = a.x + b")
def func(x, y, p):
if p.axis == 'x':
return p.a*x+p.b, y
else:
return x, p.a*y+p.b
self.compute_11("LinearCal", func, param,
suffix=lambda p: "%s=%s*%s+%s" % (p.axis, p.a,
p.axis, p.b))
def compute_wiener(self):
import scipy.signal as sps
def func(x, y):
return x, sps.wiener(y)
self.compute_11("WienerFilter", func)
def compute_gaussian(self):
class GaussianParam(DataSet):
sigma = FloatItem("σ", default=1.)
param = GaussianParam(_("Gaussian filter"))
import scipy.ndimage as spi
def func(x, y, p):
return x, spi.gaussian_filter1d(y, p.sigma)
self.compute_11("GaussianFilter", func, param,
suffix=lambda p: "σ=%.3f pixels" % p.sigma)
def compute_fft(self):
self.compute_11("FFT", xy_fft)
def compute_ifft(self):
self.compute_11("iFFT", xy_ifft)
#------I/O
def new_signal(self):
"""Create a new signal"""
signalnew = SignalParamNew(title=_("Create a new signal"))
rows = self._get_selected_rows()
if rows:
signalnew.size = len(self.objects[rows[-1]].data)
signalnew.title = "%s %d" % (signalnew.title, self.number+1)
if not signalnew.edit(parent=self.parent()):
return
self.number += 1
signal = SignalParam()
signal.title = signalnew.title
xarr = np.linspace(signalnew.xmin, signalnew.xmax, signalnew.size)
if signalnew.type == 'zeros':
signal.xydata = np.vstack((xarr, np.zeros(signalnew.size)))
elif signalnew.type == 'rand':
signal.xydata = np.vstack((xarr, np.random.rand(signalnew.size)-.5))
elif signalnew.type == 'gauss':
class GaussParam(DataSet):
a = FloatItem("Norm", default=1.)
x0 = FloatItem("X0", default=0.0)
sigma = FloatItem("σ", default=5.)
param = GaussParam(_("New gaussian function"))
if not param.edit(parent=self.parent()):
return
ygauss = param.a*np.exp(-.5*((xarr-param.x0)/param.sigma)**2)
signal.xydata = np.vstack((xarr, ygauss))
self.add_object(signal)
def open_signal(self):
"""Open signal file"""
saved_in, saved_out, saved_err = sys.stdin, sys.stdout, sys.stderr
sys.stdout = None
filters = '%s (*.txt *.csv)\n%s (*.npy)'\
% (_("Text files"), _("NumPy arrays"))
filenames, _filter = getopenfilenames(self.parent(), _("Open"), '',
filters)
sys.stdin, sys.stdout, sys.stderr = saved_in, saved_out, saved_err
filenames = list(filenames)
for filename in filenames:
filename = to_text_string(filename)
os.chdir(osp.dirname(filename))
signal = SignalParam()
signal.title = filename
try:
if osp.splitext(filename)[1] == ".npy":
xydata =np.load(filename)
else:
for delimiter in ('\t', ',', ' ', ';'):
try:
xydata = np.loadtxt(filename, delimiter=delimiter)
break
except ValueError:
continue
else:
raise
assert len(xydata.shape) in (1, 2), "Data not supported"
except Exception as msg:
import traceback
traceback.print_exc()
QMessageBox.critical(self.parent(), APP_NAME,
(_("%s could not be opened:") % osp.basename(filename))+\
"\n"+str(msg))
return
if len(xydata.shape) == 1:
xydata = np.vstack( (np.arange(xydata.size), xydata) )
else:
rows, cols = xydata.shape
for colnb in (2, 3, 4):
if cols == colnb and rows > colnb:
xydata = xydata.T
break
if cols == 3:
# x, y, dy
xarr, yarr, dyarr = xydata
dxarr = np.zeros_like(dyarr)
xydata = np.vstack((xarr, yarr, dxarr, dyarr))
signal.xydata = xydata
self.add_object(signal)
def save_signal(self):
"""Save selected signal"""
rows = self._get_selected_rows()
for row in rows:
filename, _filter = getsavefilename(self, _("Save as"), '',
_("CSV files")+" (*.csv)")
if not filename:
return
filename = to_text_string(filename)
os.chdir(osp.dirname(filename))
obj = self.objects[row]
try:
np.savetxt(filename, obj.xydata, delimiter=',')
except Exception as msg:
import traceback
traceback.print_exc()
QMessageBox.critical(self.parent(), APP_NAME,
(_("%s could not be written:") % osp.basename(filename))+\
"\n"+str(msg))
return
class ImageFT(ObjectFT):
PARAMCLASS = ImageParam
PREFIX = "i"
#------ObjectFT API
def setup(self, toolbar):
ObjectFT.setup(self, toolbar)
# File actions
new_action = create_action(self, _("New image..."),
icon=get_icon('filenew.png'),
tip=_("Create a new image"),
triggered=self.new_image)
open_action = create_action(self, _("Open image..."),
icon=get_icon('fileopen.png'),
tip=_("Open an image"),
triggered=self.open_image)
save_action = create_action(self, _("Save image..."),
icon=get_icon('filesave.png'),
tip=_("Save selected image"),
triggered=self.save_image)
self.actlist_1more += [save_action]
self.file_actions = [new_action, open_action, save_action]
# Operation actions
rotate_menu = QMenu(_("Rotation"), self)
hflip_action = create_action(self, _("Flip horizontally"),
triggered=self.flip_horizontally)
vflip_action = create_action(self, _("Flip vertically"),
triggered=self.flip_vertically)
rot90_action = create_action(self, _("Rotate 90° right"),
triggered=self.rotate_270)
rot270_action = create_action(self, _("Rotate 90° left"),
triggered=self.rotate_90)
rotate_action = create_action(self, _("Rotate arbitrarily..."),
triggered=self.rotate_arbitrarily)
resize_action = create_action(self, _("Resize"),
triggered=self.resize_image)
roi_action = create_action(self, _("ROI extraction"),
triggered=self.extract_roi)
swapaxes_action = create_action(self, _("Swap X/Y axes"),
triggered=self.swap_axes)
flatfield_action = create_action(self, _("Flat-field correction"),
triggered=self.flat_field_correction)
self.actlist_1 += [resize_action]
self.actlist_2 += [flatfield_action]
self.actlist_1more += [roi_action, swapaxes_action,
hflip_action, vflip_action,
rot90_action, rot270_action, rotate_action]
add_actions(rotate_menu, [hflip_action, vflip_action,
rot90_action, rot270_action, rotate_action])
self.operation_actions += [None, rotate_menu, None,
resize_action, roi_action, swapaxes_action,
None, flatfield_action]
# Processing actions
lincal_action = create_action(self, _("Linear calibration"),
triggered=self.calibrate)
threshold_action = create_action(self, _("Thresholding"),
triggered=self.compute_threshold)
clip_action = create_action(self, _("Clipping"),
triggered=self.compute_clip)
gaussian_action = create_action(self, _("Gaussian filter"),
triggered=self.compute_gaussian)
wiener_action = create_action(self, _("Wiener filter"),
triggered=self.compute_wiener)
fft_action = create_action(self, _("FFT"),
tip=_("Warning: only real part is plotted"),
triggered=self.compute_fft)
ifft_action = create_action(self, _("Inverse FFT"),
tip=_("Warning: only real part is plotted"),
triggered=self.compute_ifft)
self.actlist_1more += [lincal_action, threshold_action, clip_action,
gaussian_action, wiener_action,
fft_action, ifft_action]
self.processing_actions = [lincal_action, threshold_action,
clip_action, None,
gaussian_action, wiener_action, fft_action,
ifft_action]
add_actions(toolbar, [new_action, open_action, save_action])
def make_item(self, row):
image = self.objects[row]
item = make.image(image.data.real, title=image.title, colormap='gray',
eliminate_outliers=2.)
self.items[row] = item
return item
def update_item(self, row):
image = self.objects[row]
item = self.items[row]
lut_range = [item.min, item.max]
item.set_data(image.data.real, lut_range=lut_range)
item.imageparam.label = image.title
item.plot().update_colormap_axis(item)
#------Image operations
def rotate_arbitrarily(self):
boundaries = ('constant', 'nearest', 'reflect', 'wrap')
prop = ValueProp(False)
class RotateParam(DataSet):
angle = FloatItem("%s (°)" % _("Angle"))
mode = ChoiceItem(_("Mode"), list(zip(boundaries, boundaries)),
default=boundaries[0])
cval = FloatItem(_("cval"), default=0.,
help=_("Value used for points outside the "
"boundaries of the input if mode is "
"'constant'"))
reshape = BoolItem(_("Reshape the output array"), default=True,
help=_("Reshape the output array "
"so that the input array is "
"contained completely in the output"))
prefilter = BoolItem(_("Prefilter the input image"),
default=True).set_prop("display", store=prop)
order = IntItem(_("Order"), default=3, min=0, max=5,
help=_("Spline interpolation order")
).set_prop("display", active=prop)
param = RotateParam(_("Rotation"))
import scipy.ndimage as spi
self.compute_11("Rotate",
lambda x, p:
spi.rotate(x, p.angle, reshape=p.reshape,
order=p.order, mode=p.mode,
cval=p.cval, prefilter=p.prefilter),
param, suffix=lambda p: "α=%.3f°, mode='%s'"\
% (p.angle, p.mode))
def rotate_90(self):
self.compute_11("Rotate90", lambda x: np.rot90(x))
def rotate_270(self):
self.compute_11("Rotate270", lambda x: np.rot90(x, 3))
def flip_horizontally(self):
self.compute_11("HFlip", lambda x: np.fliplr(x))
def flip_vertically(self):
self.compute_11("VFlip", lambda x: np.flipud(x))
def resize_image(self):
rows = self._get_selected_rows()
obj = self.objects[rows[0]]
original_size = obj.data.shape[1], obj.data.shape[0]
from guiqwt.widgets.resizedialog import ResizeDialog
dlg = ResizeDialog(self.plot, new_size=original_size,
old_size=original_size,
text=_("Destination size:"))
if not dlg.exec_():
return
boundaries = ('constant', 'nearest', 'reflect', 'wrap')
prop = ValueProp(False)
class ResizeParam(DataSet):
zoom = FloatItem(_("Zoom"), default=dlg.get_zoom())
mode = ChoiceItem(_("Mode"), list(zip(boundaries, boundaries)),
default=boundaries[0])
cval = FloatItem(_("cval"), default=0.,
help=_("Value used for points outside the "
"boundaries of the input if mode is "
"'constant'"))
prefilter = BoolItem(_("Prefilter the input image"),
default=True).set_prop("display", store=prop)
order = IntItem(_("Order"), default=3, min=0, max=5,
help=_("Spline interpolation order")
).set_prop("display", active=prop)
param = ResizeParam(_("Resize"))
import scipy.ndimage as spi
self.compute_11("Zoom", lambda x, p:
spi.interpolation.zoom(x, p.zoom, order=p.order,
mode=p.mode, cval=p.cval,
prefilter=p.prefilter),
param, suffix=lambda p: "zoom=%.3f" % p.zoom)
def extract_roi(self):
class ROIParam(DataSet):
row1 = IntItem(_("First row index"), default=0, min=-1)
row2 = IntItem(_("Last row index"), default=-1, min=-1)
col1 = IntItem(_("First column index"), default=0, min=-1)
col2 = IntItem(_("Last column index"), default=-1, min=-1)
param = ROIParam(_("ROI extraction"))
self.compute_11("ROI", lambda x, p:
x.copy()[p.row1:p.row2, p.col1:p.col2],
param, suffix=lambda p: "rows=%d:%d,cols=%d:%d"
% (p.row1, p.row2, p.col1, p.col2))
def swap_axes(self):
self.compute_11("SwapAxes", lambda z: z.T)
def flat_field_correction(self):
rows = self._get_selected_rows()
robj = self.PARAMCLASS()
robj.title = "FlatField("+(','.join(["%s%03d" % (self.PREFIX, row)
for row in rows]))+")"
try:
robj.data = flatfield(self.objects[rows[0]].data,
self.objects[rows[1]].data)
except Exception as msg:
import traceback
traceback.print_exc()
QMessageBox.critical(self.parent(), APP_NAME,
_("Error:")+"\n%s" % str(msg))
return
self.add_object(robj)
#------Image Processing
def calibrate(self):
class CalibrateParam(DataSet):
a = FloatItem('a', default=1.)
b = FloatItem('b', default=0.)
param = CalibrateParam(_("Linear calibration"), "y = a.x + b")
self.compute_11("LinearCal", lambda x, p: p.a*x+p.b, param,
suffix=lambda p: "z=%s*z+%s" % (p.a, p.b))
def compute_threshold(self):
class ThresholdParam(DataSet):
value = FloatItem(_("Threshold"))
self.compute_11("Threshold", lambda x, p: np.clip(x, p.value, x.max()),
ThresholdParam(_("Thresholding")),
suffix=lambda p: "min=%s lsb" % p.value)
def compute_clip(self):
class ClipParam(DataSet):
value = FloatItem(_("Clipping value"))
self.compute_11("Clip", lambda x, p: np.clip(x, x.min(), p.value),
ClipParam(_("Clipping")),
suffix=lambda p: "max=%s lsb" % p.value)
def compute_wiener(self):
import scipy.signal as sps
self.compute_11("WienerFilter", sps.wiener)
def compute_gaussian(self):
class GaussianParam(DataSet):
sigma = FloatItem("σ", default=1.)
param = GaussianParam(_("Gaussian filter"))
import scipy.ndimage as spi
self.compute_11("GaussianFilter",
lambda x, p: spi.gaussian_filter(x, p.sigma), param,
suffix=lambda p: "σ=%.3f pixels" % p.sigma)
def compute_fft(self):
self.compute_11("FFT", np.fft.fft2)
def compute_ifft(self):
self.compute_11("iFFT", np.fft.ifft2)
#------I/O
def new_image(self):
"""Create a new image"""
imagenew = ImageParamNew(title=_("Create a new image"))
rows = self._get_selected_rows()
if rows:
data = self.objects[rows[-1]].data
imagenew.width = data.shape[1]
imagenew.height = data.shape[0]
imagenew.title = "%s %d" % (imagenew.title, self.number+1)
if not imagenew.edit(parent=self.parent()):
return
self.number += 1
image = ImageParam()
image.title = imagenew.title
shape = (imagenew.height, imagenew.width)
dtype = imagenew.dtype
if imagenew.type == 'zeros':
image.data = np.zeros(shape, dtype=dtype)
elif imagenew.type == 'empty':
image.data = np.empty(shape, dtype=dtype)
elif imagenew.type == 'rand':
data = np.random.rand(*shape)
from guiqwt import io
image.data = io.scale_data_to_dtype(data, dtype)
self.add_object(image)
def open_image(self):
"""Open image file"""
from guiqwt.qthelpers import exec_images_open_dialog
for filename, data in exec_images_open_dialog(self, basedir='',
app_name=APP_NAME, to_grayscale=True):
os.chdir(osp.dirname(filename))
image = ImageParam()
image.title = filename
image.data = data
if osp.splitext(filename)[1].lower() == ".dcm":
import dicom
dcm = dicom.read_file(filename, stop_before_pixels=True)
image.metadata = {}
for attr_str in dir(dcm):
if attr_str != 'GroupLength':
image.metadata[attr_str] = getattr(dcm, attr_str)
self.add_object(image)
def save_image(self):
"""Save selected image"""
rows = self._get_selected_rows()
for row in rows:
obj = self.objects[row]
from guiqwt.qthelpers import exec_image_save_dialog
filename = exec_image_save_dialog(obj.data, self, basedir='',
app_name=APP_NAME)
if filename:
os.chdir(osp.dirname(filename))
class DockablePlotWidget(DockableWidget):
LOCATION = Qt.RightDockWidgetArea
def __init__(self, parent, plotwidgetclass, toolbar):
super(DockablePlotWidget, self).__init__(parent)
self.toolbar = toolbar
layout = QVBoxLayout()
self.plotwidget = plotwidgetclass()
layout.addWidget(self.plotwidget)
self.setLayout(layout)
self.setup()
def get_plot(self):
return self.plotwidget.plot
def setup(self):
title = to_text_string(self.toolbar.windowTitle())
self.plotwidget.add_toolbar(self.toolbar, title)
if isinstance(self.plotwidget, ImageWidget):
self.plotwidget.register_all_image_tools()
else:
self.plotwidget.register_all_curve_tools()
#------DockableWidget API
def visibility_changed(self, enable):
"""DockWidget visibility has changed"""
DockableWidget.visibility_changed(self, enable)
self.toolbar.setVisible(enable)
class DockableTabWidget(QTabWidget, DockableWidgetMixin):
LOCATION = Qt.LeftDockWidgetArea
def __init__(self, parent):
QTabWidget.__init__(self, parent)
DockableWidgetMixin.__init__(self, parent)
try:
from spyderlib.widgets.internalshell import InternalShell
class DockableConsole(InternalShell, DockableWidgetMixin):
LOCATION = Qt.BottomDockWidgetArea
def __init__(self, parent, namespace, message, commands=[]):
InternalShell.__init__(self, parent=parent, namespace=namespace,
message=message, commands=commands,
multithreaded=True)
DockableWidgetMixin.__init__(self, parent)
self.setup()
def setup(self):
font = QFont("Courier new")
font.setPointSize(10)
self.set_font(font)
self.set_codecompletion_auto(True)
self.set_calltips(True)
self.setup_calltips(size=600, font=font)
self.setup_completion(size=(300, 180), font=font)
except ImportError:
DockableConsole = None
class SiftProxy(object):
def __init__(self, win):
self.win = win
self.s = self.win.signalft.objects
self.i = self.win.imageft.objects
class MainWindow(QMainWindow):
def __init__(self):
QMainWindow.__init__(self)
self.setWindowIcon(get_icon('sift.svg'))
self.setWindowTitle(APP_NAME)
# Welcome message in statusbar:
status = self.statusBar()
status.showMessage(_("Welcome to %s!") % APP_NAME, 5000)
self.signal_toolbar = self.addToolBar(_("Signal Processing Toolbar"))
self.image_toolbar = self.addToolBar(_("Image Processing Toolbar"))
# Signals
curveplot_toolbar = self.addToolBar(_("Curve Plotting Toolbar"))
self.curvewidget = DockablePlotWidget(self, CurveWidget,
curveplot_toolbar)
curveplot = self.curvewidget.get_plot()
curveplot.add_item(make.legend("TR"))
self.signalft = SignalFT(self, plot=curveplot)
self.signalft.setup(self.signal_toolbar)
# Images
imagevis_toolbar = self.addToolBar(_("Image Visualization Toolbar"))
self.imagewidget = DockablePlotWidget(self, ImageWidget,
imagevis_toolbar)
self.imageft = ImageFT(self, self.imagewidget.get_plot())
self.imageft.setup(self.image_toolbar)
for objectft in (self.signalft, self.imageft):
self.connect(objectft, SIGNAL("status_message(QString)"),
status.showMessage)
# Main window widgets
self.tabwidget = DockableTabWidget(self)
self.tabwidget.setMaximumWidth(500)
self.tabwidget.addTab(self.signalft, get_icon('curve.png'),
_("Signals"))
self.tabwidget.addTab(self.imageft, get_icon('image.png'),
_("Images"))
self.add_dockwidget(self.tabwidget, _("Main panel"))
# self.setCentralWidget(self.tabwidget)
self.curve_dock = self.add_dockwidget(self.curvewidget,
title=_("Curve plotting panel"))
self.image_dock = self.add_dockwidget(self.imagewidget,
title=_("Image visualization panel"))
self.tabifyDockWidget(self.curve_dock, self.image_dock)
self.connect(self.tabwidget, SIGNAL('currentChanged(int)'),
self.tab_index_changed)
self.connect(self.signalft, SIGNAL('object_added()'),
lambda: self.tabwidget.setCurrentIndex(0))
self.connect(self.imageft, SIGNAL('object_added()'),
lambda: self.tabwidget.setCurrentIndex(1))
# File menu
self.quit_action = create_action(self, _("Quit"), shortcut="Ctrl+Q",
icon=get_std_icon("DialogCloseButton"),
tip=_("Quit application"),
triggered=self.close)
self.file_menu = self.menuBar().addMenu(_("File"))
self.connect(self.file_menu, SIGNAL("aboutToShow()"),
self.update_file_menu)
# Edit menu
self.edit_menu = self.menuBar().addMenu(_("&Edit"))
self.connect(self.edit_menu, SIGNAL("aboutToShow()"),
self.update_edit_menu)
# Operation menu
self.operation_menu = self.menuBar().addMenu(_("Operations"))
self.connect(self.operation_menu, SIGNAL("aboutToShow()"),
self.update_operation_menu)
# Processing menu
self.proc_menu = self.menuBar().addMenu(_("Processing"))
self.connect(self.proc_menu, SIGNAL("aboutToShow()"),
self.update_proc_menu)
# View menu
self.view_menu = view_menu = self.createPopupMenu()
view_menu.setTitle(_("&View"))
self.menuBar().addMenu(view_menu)
# Help menu
help_menu = self.menuBar().addMenu("?")
about_action = create_action(self, _("About..."),
icon=get_std_icon('MessageBoxInformation'),
triggered=self.about)
add_actions(help_menu, (about_action,))
# Eventually add an internal console (requires 'spyderlib')
self.sift_proxy = SiftProxy(self)
if DockableConsole is None:
self.console = None
else:
import time, scipy.signal as sps, scipy.ndimage as spi
ns = {'sift': self.sift_proxy,
'np': np, 'sps': sps, 'spi': spi,
'os': os, 'sys': sys, 'osp': osp, 'time': time}
msg = "Example: sift.s[0] returns signal object #0\n"\
"Modules imported at startup: "\
"os, sys, os.path as osp, time, "\
"numpy as np, scipy.signal as sps, scipy.ndimage as spi"
self.console = DockableConsole(self, namespace=ns, message=msg)
self.add_dockwidget(self.console, _("Console"))
self.connect(self.console.interpreter.widget_proxy,
SIGNAL("new_prompt(QString)"),
lambda txt: self.refresh_lists())
# Update selection dependent actions
self.update_actions()
# Show main window and raise the signal plot panel
self.show()
self.curve_dock.raise_()
#------GUI refresh/setup
def add_dockwidget(self, child, title):
"""Add QDockWidget and toggleViewAction"""
dockwidget, location = child.create_dockwidget(title)
self.addDockWidget(location, dockwidget)
return dockwidget
def refresh_lists(self):
self.signalft.refresh_list()
self.imageft.refresh_list()
def update_actions(self):
self.signalft.selection_changed()
self.imageft.selection_changed()
is_signal = self.tabwidget.currentWidget() is self.signalft
self.signal_toolbar.setVisible(is_signal)
self.image_toolbar.setVisible(not is_signal)
def tab_index_changed(self, index):
dock = (self.curve_dock, self.image_dock)[index]
dock.raise_()
self.update_actions()
def update_file_menu(self):
self.file_menu.clear()
objectft = self.tabwidget.currentWidget()
actions = objectft.file_actions+[None, self.quit_action]
add_actions(self.file_menu, actions)
def update_edit_menu(self):
self.edit_menu.clear()
objectft = self.tabwidget.currentWidget()
add_actions(self.edit_menu, objectft.edit_actions)
def update_operation_menu(self):
self.operation_menu.clear()
objectft = self.tabwidget.currentWidget()
add_actions(self.operation_menu, objectft.operation_actions)
def update_proc_menu(self):
self.proc_menu.clear()
objectft = self.tabwidget.currentWidget()
add_actions(self.proc_menu, objectft.processing_actions)
#------?
def about(self):
QMessageBox.about( self, _("About ")+APP_NAME,
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y = %g" % (x, y)
text = self.label()
text.setText(label)
self.setLabel(text)
plot = self.plot()
if plot is not None:
xaxis = plot.axisScaleDiv(self.xAxis())
if x < (xaxis.upperBound()+xaxis.lowerBound())/2:
hor_alignment = Qt.AlignRight
else:
hor_alignment = Qt.AlignLeft
yaxis = plot.axisScaleDiv(self.yAxis())
ymap = plot.canvasMap(self.yAxis())
y_top, y_bottom = ymap.s1(), ymap.s2()
if y < .5*(yaxis.upperBound()+yaxis.lowerBound()):
if y_top > y_bottom:
ver_alignment = Qt.AlignBottom
else:
ver_alignment = Qt.AlignTop
else:
if y_top > y_bottom:
ver_alignment = Qt.AlignTop
else:
ver_alignment = Qt.AlignBottom
self.setLabelAlignment(hor_alignment|ver_alignment)
assert_interfaces_valid(Marker)
class PolygonShape(AbstractShape):
__implements__ = (IBasePlotItem, ISerializableType)
ADDITIONNAL_POINTS = 0 # Number of points which are not part of the shape
LINK_ADDITIONNAL_POINTS = False # Link additionnal points with dotted lines
CLOSED = True
def __init__(self, points=None, closed=None, shapeparam=None):
super(PolygonShape, self).__init__()
self.closed = self.CLOSED if closed is None else closed
self.selected = False
if shapeparam is None:
self.shapeparam = ShapeParam(_("Shape"), icon="rectangle.png")
else:
self.shapeparam = shapeparam
self.shapeparam.update_shape(self)
self.pen = QPen()
self.brush = QBrush()
self.symbol = QwtSymbol.NoSymbol
self.sel_pen = QPen()
self.sel_brush = QBrush()
self.sel_symbol = QwtSymbol.NoSymbol
self.points = np.zeros( (0, 2), float )
if points is not None:
self.set_points(points)
def types(self):
return (IShapeItemType, ISerializableType)
def __reduce__(self):
self.shapeparam.update_param(self)
state = (self.shapeparam, self.points, self.closed, self.z())
return (PolygonShape, (), state)
def __setstate__(self, state):
self.shapeparam, self.points, self.closed, z = state
self.setZ(z)
self.shapeparam.update_shape(self)
def serialize(self, writer):
"""Serialize object to HDF5 writer"""
self.shapeparam.update_param(self)
writer.write(self.shapeparam, group_name='shapeparam')
writer.write(self.points, group_name='points')
writer.write(self.closed, group_name='closed')
writer.write(self.z(), group_name='z')
def deserialize(self, reader):
"""Deserialize object from HDF5 reader"""
self.closed = reader.read('closed')
self.shapeparam = ShapeParam(_("Shape"), icon="rectangle.png")
reader.read('shapeparam', instance=self.shapeparam)
self.shapeparam.update_shape(self)
self.points = reader.read(group_name='points', func=reader.read_array)
self.setZ(reader.read('z'))
#----Public API-------------------------------------------------------------
def set_style(self, section, option):
self.shapeparam.read_config(CONF, section, option)
self.shapeparam.update_shape(self)
def set_points(self, points):
self.points = np.array(points, float)
assert self.points.shape[1] == 2
def get_points(self):
"""Return polygon points"""
return self.points
def get_bounding_rect_coords(self):
"""Return bounding rectangle coordinates (in plot coordinates)"""
poly = QPolygonF()
shape_points = self.points[:-self.ADDITIONNAL_POINTS]
for i in range(shape_points.shape[0]):
poly.append(QPointF(shape_points[i, 0], shape_points[i, 1]))
return poly.boundingRect().getCoords()
def transform_points(self, xMap, yMap):
points = QPolygonF()
for i in range(self.points.shape[0]):
points.append(QPointF(xMap.transform(self.points[i, 0]),
yMap.transform(self.points[i, 1])))
return points
def get_reference_point(self):
if self.points.size:
return self.points.mean(axis=0)
def get_pen_brush(self, xMap, yMap):
if self.selected:
pen = self.sel_pen
brush = self.sel_brush
sym = self.sel_symbol
else:
pen = self.pen
brush = self.brush
sym = self.symbol
if self.points.size > 0:
x0, y0 = self.get_reference_point()
xx0 = xMap.transform(x0)
yy0 = yMap.transform(y0)
try:
# Optimized version in PyQt >= v4.5
t0 = QTransform.fromTranslate(xx0, yy0)
except AttributeError:
# Fallback for PyQt <= v4.4
t0 = QTransform().translate(xx0, yy0)
tr = brush.transform()
tr = tr*t0
brush = QBrush(brush)
brush.setTransform(tr)
return pen, brush, sym
def draw(self, painter, xMap, yMap, canvasRect):
pen, brush, symbol = self.get_pen_brush(xMap, yMap)
painter.setRenderHint(QPainter.Antialiasing)
painter.setPen(pen)
painter.setBrush(brush)
points = self.transform_points(xMap, yMap)
if self.ADDITIONNAL_POINTS:
shape_points = points[:-self.ADDITIONNAL_POINTS]
other_points = points[-self.ADDITIONNAL_POINTS:]
else:
shape_points = points
other_points = []
if self.closed:
painter.drawPolygon(shape_points)
else:
painter.drawPolyline(shape_points)
if symbol != QwtSymbol.NoSymbol:
for i in range(points.size()):
symbol.draw(painter, points[i].toPoint())
if self.LINK_ADDITIONNAL_POINTS and other_points:
pen2 = painter.pen()
pen2.setStyle(Qt.DotLine)
painter.setPen(pen2)
painter.drawPolyline(other_points)
def poly_hit_test(self, plot, ax, ay, pos):
pos = QPointF(pos)
dist = maxsize
handle = -1
Cx, Cy = pos.x(), pos.y()
poly = QPolygonF()
pts = self.points
for i in range(pts.shape[0]):
# On calcule la distance dans le repère du canvas
px = plot.transform(ax, pts[i, 0])
py = plot.transform(ay, pts[i, 1])
if i < pts.shape[0]-self.ADDITIONNAL_POINTS:
poly.append(QPointF(px, py))
d = (Cx-px)**2 + (Cy-py)**2
if d < dist:
dist = d
handle = i
inside = poly.containsPoint(QPointF(Cx, Cy), Qt.OddEvenFill)
return sqrt(dist), handle, inside, None
def hit_test(self, pos):
"""return (dist, handle, inside)"""
if not self.plot():
return maxsize, 0, False, None
return self.poly_hit_test(self.plot(), self.xAxis(), self.yAxis(), pos)
def add_local_point(self, pos):
pt = canvas_to_axes(self, pos)
return self.add_point(pt)
def add_point(self, pt):
N, _ = self.points.shape
self.points = np.resize(self.points, (N+1, 2))
self.points[N,:] = pt
return N
def del_point(self, handle):
self.points = np.delete(self.points, handle, 0)
if handle < len(self.points):
return handle
else:
return self.points.shape[0]-1
def move_point_to(self, handle, pos, ctrl=None):
self.points[handle,:] = pos
def move_shape(self, old_pos, new_pos):
dx = new_pos[0]-old_pos[0]
dy = new_pos[1]-old_pos[1]
self.points += np.array([[dx, dy]])
def get_item_parameters(self, itemparams):
self.shapeparam.update_param(self)
itemparams.add("ShapeParam", self, self.shapeparam)
def set_item_parameters(self, itemparams):
update_dataset(self.shapeparam, itemparams.get("ShapeParam"),
visible_only=True)
self.shapeparam.update_shape(self)
assert_interfaces_valid(PolygonShape)
class PointShape(PolygonShape):
CLOSED = False
def __init__(self, x=0, y=0, shapeparam=None):
super(PointShape, self).__init__(shapeparam=shapeparam)
self.set_pos(x, y)
def set_pos(self, x, y):
"""Set the point coordinates to (x, y)"""
self.set_points([(x, y)])
def get_pos(self):
"""Return the point coordinates"""
return tuple(self.points[0])
def move_point_to(self, handle, pos, ctrl=None):
nx, ny = pos
self.points[0] = (nx, ny)
def __reduce__(self):
state = (self.shapeparam, self.points, self.z())
return (self.__class__, (), state)
def __setstate__(self, state):
self.shapeparam, self.points, z = state
self.setZ(z)
self.shapeparam.update_shape(self)
assert_interfaces_valid(PointShape)
class SegmentShape(PolygonShape):
CLOSED = False
ADDITIONNAL_POINTS = 1 # Number of points which are not part of the shape
def __init__(self, x1=0, y1=0, x2=0, y2=0, shapeparam=None):
super(SegmentShape, self).__init__(shapeparam=shapeparam)
self.set_rect(x1, y1, x2, y2)
def set_rect(self, x1, y1, x2, y2):
"""
Set the start point of this segment to (x1, y1)
and the end point of this line to (x2, y2)
"""
self.set_points([(x1, y1), (x2, y2),
(.5*(x1+x2), .5*(y1+y2))])
def get_rect(self):
return tuple(self.points[0])+tuple(self.points[1])
def move_point_to(self, handle, pos, ctrl=None):
nx, ny = pos
x1, y1, x2, y2 = self.get_rect()
if handle == 0:
self.set_rect(nx, ny, x2, y2)
elif handle == 1:
self.set_rect(x1, y1, nx, ny)
elif handle in (2, -1):
delta = (nx, ny)-self.points.mean(axis=0)
self.points += delta
def __reduce__(self):
state = (self.shapeparam, self.points, self.z())
return (self.__class__, (), state)
def __setstate__(self, state):
param, points, z = state
#----------------------------------------------------------------------
# compatibility with previous version of SegmentShape:
x1, y1, x2, y2, x3, y3 = points.ravel()
v12 = np.array((x2-x1, y2-y1))
v13 = np.array((x3-x1, y3-y1))
if np.linalg.norm(v12) < np.linalg.norm(v13):
# old pickle format
points = np.flipud(np.roll(points, -1, axis=0))
#----------------------------------------------------------------------
self.points = points
self.setZ(z)
self.shapeparam = param
self.shapeparam.update_shape(self)
assert_interfaces_valid(SegmentShape)
class RectangleShape(PolygonShape):
CLOSED = True
def __init__(self, x1=0, y1=0, x2=0, y2=0, shapeparam=None):
super(RectangleShape, self).__init__(shapeparam=shapeparam)
self.set_rect(x1, y1, x2, y2)
def set_rect(self, x1, y1, x2, y2):
"""
Set the coordinates of the rectangle's top-left corner to (x1, y1),
and of its bottom-right corner to (x2, y2).
"""
self.set_points([(x1, y1), (x2, y1), (x2, y2), (x1, y2)])
def get_rect(self):
return tuple(self.points[0])+tuple(self.points[2])
def get_center(self):
"""Return center coordinates: (xc, yc)"""
return compute_center(*self.get_rect())
def move_point_to(self, handle, pos, ctrl=None):
nx, ny = pos
x1, y1, x2, y2 = self.get_rect()
if handle == 0:
self.set_rect(nx, ny, x2, y2)
elif handle == 1:
self.set_rect(x1, ny, nx, y2)
elif handle == 2:
self.set_rect(x1, y1, nx, ny)
elif handle == 3:
self.set_rect(nx, y1, x2, ny)
elif handle == -1:
delta = (nx, ny)-self.points.mean(axis=0)
self.points += delta
def __reduce__(self):
state = (self.shapeparam, self.points, self.z())
return (self.__class__, (), state)
def __setstate__(self, state):
self.shapeparam, self.points, z = state
self.setZ(z)
self.shapeparam.update_shape(self)
assert_interfaces_valid(RectangleShape)
def _no_null_vector(x0, y0, x1, y1, x2, y2, x3, y3):
return vector_norm(x0, y0, x1, y1) and vector_norm(x0, y0, x2, y2) and \
vector_norm(x0, y0, x3, y3) and vector_norm(x1, y1, x2, y2) and \
vector_norm(x1, y1, x3, y3) and vector_norm(x2, y2, x3, y3)
class ObliqueRectangleShape(PolygonShape):
CLOSED = True
ADDITIONNAL_POINTS = 2 # Number of points which are not part of the shape
LINK_ADDITIONNAL_POINTS = True # Link additionnal points with dotted lines
def __init__(self, x0=0, y0=0, x1=0, y1=0, x2=0, y2=0, x3=0, y3=0,
shapeparam=None):
super(ObliqueRectangleShape, self).__init__(shapeparam=shapeparam)
self.set_rect(x0, y0, x1, y1, x2, y2, x3, y3)
def set_rect(self, x0, y0, x1, y1, x2, y2, x3, y3):
"""
Set the rectangle corners coordinates:
(x0, y0): top-left corner
(x1, y1): top-right corner
(x2, y2): bottom-right corner
(x3, y3): bottom-left corner
x: additionnal points (handles used for rotation -- other handles
being used for rectangle resizing)
(x0, y0)------>(x1, y1)
↑ |
| |
x x
| |
| ↓
(x3, y3)<------(x2, y2)
"""
self.set_points([(x0, y0), (x1, y1), (x2, y2), (x3, y3),
(.5*(x0+x3), .5*(y0+y3)),
(.5*(x1+x2), .5*(y1+y2))])
def get_rect(self):
return self.points.ravel()[:-self.ADDITIONNAL_POINTS*2]
def get_center(self):
"""Return center coordinates: (xc, yc)"""
rect = tuple(self.points[0])+tuple(self.points[2])
return compute_center(*rect)
def move_point_to(self, handle, pos, ctrl=None):
nx, ny = pos
x0, y0, x1, y1, x2, y2, x3, y3 = self.get_rect()
if handle == 0:
if vector_norm(x2, y2, x3, y3) and vector_norm(x2, y2, x1, y1):
v0n = np.array((nx-x0, ny-y0))
x3, y3 = vector_projection(v0n, x2, y2, x3, y3)
x1, y1 = vector_projection(v0n, x2, y2, x1, y1)
x0, y0 = nx, ny
if _no_null_vector(x0, y0, x1, y1, x2, y2, x3, y3):
self.set_rect(x0, y0, x1, y1, x2, y2, x3, y3)
elif handle == 1:
if vector_norm(x3, y3, x0, y0) and vector_norm(x3, y3, x2, y2):
v1n = np.array((nx-x1, ny-y1))
x0, y0 = vector_projection(v1n, x3, y3, x0, y0)
x2, y2 = vector_projection(v1n, x3, y3, x2, y2)
x1, y1 = nx, ny
if _no_null_vector(x0, y0, x1, y1, x2, y2, x3, y3):
self.set_rect(x0, y0, x1, y1, x2, y2, x3, y3)
elif handle == 2:
if vector_norm(x0, y0, x1, y1) and vector_norm(x0, y0, x3, y3):
v2n = np.array((nx-x2, ny-y2))
x1, y1 = vector_projection(v2n, x0, y0, x1, y1)
x3, y3 = vector_projection(v2n, x0, y0, x3, y3)
x2, y2 = nx, ny
if _no_null_vector(x0, y0, x1, y1, x2, y2, x3, y3):
self.set_rect(x0, y0, x1, y1, x2, y2, x3, y3)
elif handle == 3:
if vector_norm(x1, y1, x0, y0) and vector_norm(x1, y1, x2, y2):
v3n = np.array((nx-x3, ny-y3))
x0, y0 = vector_projection(v3n, x1, y1, x0, y0)
x2, y2 = vector_projection(v3n, x1, y1, x2, y2)
x3, y3 = nx, ny
if _no_null_vector(x0, y0, x1, y1, x2, y2, x3, y3):
self.set_rect(x0, y0, x1, y1, x2, y2, x3, y3)
elif handle == 4:
x4, y4 = .5*(x0+x3), .5*(y0+y3)
x5, y5 = .5*(x1+x2), .5*(y1+y2)
nx, ny = x0+nx-x4, y0+ny-y4 # moving handle #4 to handle #0
v10 = np.array((x0-x1, y0-y1))
v12 = np.array((x2-x1, y2-y1))
v10n = np.array((nx-x1, ny-y1))
k = np.linalg.norm(v12)/np.linalg.norm(v10)
v12n = vector_rotation(-np.pi/2, *v10n)*k
x2, y2 = v12n+np.array([x1, y1])
x3, y3 = v12n+v10n+np.array([x1, y1])
x0, y0 = nx, ny
dx = x5-.5*(x1+x2)
dy = y5-.5*(y1+y2)
x0, y0 = x0+dx, y0+dy
x1, y1 = x1+dx, y1+dy
x2, y2 = x2+dx, y2+dy
x3, y3 = x3+dx, y3+dy
self.set_rect(x0, y0, x1, y1, x2, y2, x3, y3)
elif handle == 5:
x4, y4 = .5*(x0+x3), .5*(y0+y3)
x5, y5 = .5*(x1+x2), .5*(y1+y2)
nx, ny = x1+nx-x5, y1+ny-y5 # moving handle #5 to handle #1
v01 = np.array((x1-x0, y1-y0))
v03 = np.array((x3-x0, y3-y0))
v01n = np.array((nx-x0, ny-y0))
k = np.linalg.norm(v03)/np.linalg.norm(v01)
v03n = vector_rotation(np.pi/2, *v01n)*k
x3, y3 = v03n+np.array([x0, y0])
x2, y2 = v03n+v01n+np.array([x0, y0])
x1, y1 = nx, ny
dx = x4-.5*(x0+x3)
dy = y4-.5*(y0+y3)
x0, y0 = x0+dx, y0+dy
x1, y1 = x1+dx, y1+dy
x2, y2 = x2+dx, y2+dy
x3, y3 = x3+dx, y3+dy
self.set_rect(x0, y0, x1, y1, x2, y2, x3, y3)
elif handle == -1:
delta = (nx, ny)-self.points.mean(axis=0)
self.points += delta
def __reduce__(self):
state = (self.shapeparam, self.points, self.z())
return (self.__class__, (), state)
def __setstate__(self, state):
self.shapeparam, self.points, z = state
self.setZ(z)
self.shapeparam.update_shape(self)
assert_interfaces_valid(ObliqueRectangleShape)
#FIXME: EllipseShape's ellipse drawing is invalid when aspect_ratio != 1
class EllipseShape(PolygonShape):
CLOSED = True
def __init__(self, x1=0, y1=0, x2=0, y2=0, shapeparam=None):
super(EllipseShape, self).__init__(shapeparam=shapeparam)
self.is_ellipse = False
self.set_xdiameter(x1, y1, x2, y2)
def switch_to_ellipse(self):
self.is_ellipse = True
def set_xdiameter(self, x0, y0, x1, y1):
"""Set the coordinates of the ellipse's X-axis diameter"""
xline = QLineF(x0, y0, x1, y1)
yline = xline.normalVector()
yline.translate(xline.pointAt(.5)-xline.p1())
if self.is_ellipse:
yline.setLength(self.get_yline().length())
else:
yline.setLength(xline.length())
yline.translate(yline.pointAt(.5)-yline.p2())
self.set_points([(x0, y0), (x1, y1),
(yline.x1(), yline.y1()), (yline.x2(), yline.y2())])
def get_xdiameter(self):
"""Return the coordinates of the ellipse's X-axis diameter"""
return tuple(self.points[0])+tuple(self.points[1])
def set_ydiameter(self, x2, y2, x3, y3):
"""Set the coordinates of the ellipse's Y-axis diameter"""
yline = QLineF(x2, y2, x3, y3)
xline = yline.normalVector()
xline.translate(yline.pointAt(.5)-yline.p1())
if self.is_ellipse:
xline.setLength(self.get_xline().length())
xline.translate(xline.pointAt(.5)-xline.p2())
self.set_points([(xline.x1(), xline.y1()), (xline.x2(), xline.y2()),
(x2, y2), (x3, y3)])
def get_ydiameter(self):
"""Return the coordinates of the ellipse's Y-axis diameter"""
return tuple(self.points[2])+tuple(self.points[3])
def get_rect(self):
"""Circle only!"""
(x0, y0), (x1, y1) = self.points[0], self.points[1]
xc, yc = .5*(x0+x1), .5*(y0+y1)
radius = .5*np.sqrt((x1-x0)**2+(y1-y0)**2)
return xc-radius, yc-radius, xc+radius, yc+radius
def get_center(self):
"""Return center coordinates: (xc, yc)"""
return compute_center(*self.get_xdiameter())
def set_rect(self, x0, y0, x1, y1):
"""Circle only!"""
self.set_xdiameter(x0, .5*(y0+y1), x1, .5*(y0+y1))
def compute_elements(self, xMap, yMap):
"""Return points, lines and ellipse rect"""
points = self.transform_points(xMap, yMap)
line0 = QLineF(points[0], points[1])
line1 = QLineF(points[2], points[3])
rect = QRectF()
rect.setWidth(line0.length())
rect.setHeight(line1.length())
rect.moveCenter(line0.pointAt(.5))
return points, line0, line1, rect
def hit_test(self, pos):
"""return (dist, handle, inside)"""
if not self.plot():
return maxsize, 0, False, None
dist, handle, inside, other = self.poly_hit_test(self.plot(),
self.xAxis(), self.yAxis(), pos)
if not inside:
xMap = self.plot().canvasMap(self.xAxis())
yMap = self.plot().canvasMap(self.yAxis())
_points, _line0, _line1, rect = self.compute_elements(xMap, yMap)
inside = rect.contains(QPointF(pos))
return dist, handle, inside, other
def draw(self, painter, xMap, yMap, canvasRect):
points, line0, line1, rect = self.compute_elements(xMap, yMap)
pen, brush, symbol = self.get_pen_brush(xMap, yMap)
painter.setRenderHint(QPainter.Antialiasing)
painter.setPen(pen)
painter.setBrush(brush)
painter.drawLine(line0)
painter.drawLine(line1)
painter.save()
painter.translate(rect.center())
painter.rotate(-line0.angle())
painter.translate(-rect.center())
painter.drawEllipse(rect.toRect())
painter.restore()
if symbol != QwtSymbol.NoSymbol:
for i in range(points.size()):
symbol.draw(painter, points[i].toPoint())
def get_xline(self):
return QLineF(*(tuple(self.points[0])+tuple(self.points[1])))
def get_yline(self):
return QLineF(*(tuple(self.points[2])+tuple(self.points[3])))
def move_point_to(self, handle, pos, ctrl=None):
nx, ny = pos
if handle == 0:
x1, y1 = self.points[1]
if ctrl:
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