def testGetImage(self):
"""Plot.getImage and Plot.getActiveImage tests"""
plot = Plot(backend='none')
# No image
image = plot.getImage()
self.assertIsNone(image)
plot.addImage(((0, 1), (2, 3)), legend='image 0', replace=False)
plot.addImage(((0, 1), (2, 3)), legend='image 1', replace=False)
# Active image
active = plot.getActiveImage()
self.assertEqual(active.getLegend(), 'image 0')
image = plot.getImage()
self.assertEqual(image.getLegend(), 'image 0')
# No active image
plot.addImage(((0, 1), (2, 3)), legend='image 2', replace=False)
plot.setActiveImage(None)
active = plot.getActiveImage()
self.assertIsNone(active)
image = plot.getImage()
self.assertEqual(image.getLegend(), 'image 2')
# Active image
plot.setActiveImage('image 1')
active = plot.getActiveImage()
self.assertEqual(active.getLegend(), 'image 1')
image = plot.getImage()
self.assertEqual(image.getLegend(), 'image 1')
def testGetImage(self):
"""Plot.getImage and Plot.getActiveImage tests"""
plot = Plot(backend='none')
# No image
image = plot.getImage()
self.assertIsNone(image)
plot.addImage(((0, 1), (2, 3)), legend='image 0', replace=False)
plot.addImage(((0, 1), (2, 3)), legend='image 1', replace=False)
# Active image
active = plot.getActiveImage()
self.assertEqual(active[1], 'image 0') # Test image legend
image = plot.getImage()
self.assertEqual(image[1], 'image 0') # Test image legend
# No active image
plot.addImage(((0, 1), (2, 3)), legend='image 2', replace=False)
plot.setActiveImage(None)
active = plot.getActiveImage()
self.assertIsNone(active)
image = plot.getImage()
self.assertEqual(image[1], 'image 2') # Test image legend
# Active image
plot.setActiveImage('image 1')
active = plot.getActiveImage()
self.assertEqual(active[1], 'image 1')
image = plot.getImage()
self.assertEqual(image[1], 'image 1') # Test image legend
def testDataRangeImageNegativeScaleY(self):
"""image data range, negative scale"""
origin = (-10, 25)
scale = (3., -8.)
image = numpy.arange(100.).reshape(20, 5)
plot = Plot(backend='none')
plot.addImage(image, origin=origin, scale=scale)
xRange = numpy.array([0., image.shape[1] * scale[0]]) + origin[0]
yRange = numpy.array([0., image.shape[0] * scale[1]]) + origin[1]
yRange.sort() # negative scale!
ranges = {
(False, False): (xRange, yRange),
(True, False): (None, None),
(True, True): (None, None),
(False, True): (None, None)
}
for logX, logY in ((False, False), (True, False), (True, True),
(False, True), (False, False)):
with self.subTest(logX=logX, logY=logY):
plot.setXAxisLogarithmic(logX)
plot.setYAxisLogarithmic(logY)
dataRange = plot.getDataRange()
xRange, yRange = ranges[logX, logY]
self.assertTrue(numpy.array_equal(dataRange.x, xRange),
msg='{0} != {1}'.format(dataRange.x, xRange))
self.assertTrue(numpy.array_equal(dataRange.y, yRange),
msg='{0} != {1}'.format(dataRange.y, yRange))
self.assertIsNone(dataRange.yright)
def testDataRangeImageNegativeScaleY(self):
"""image data range, negative scale"""
origin = (-10, 25)
scale = (3., -8.)
image = numpy.arange(100.).reshape(20, 5)
plot = Plot(backend='none')
plot.addImage(image,
origin=origin, scale=scale)
xRange = numpy.array([0., image.shape[1] * scale[0]]) + origin[0]
yRange = numpy.array([0., image.shape[0] * scale[1]]) + origin[1]
yRange.sort() # negative scale!
ranges = {(False, False): (xRange, yRange),
(True, False): (None, None),
(True, True): (None, None),
(False, True): (None, None)}
for logX, logY in ((False, False),
(True, False),
(True, True),
(False, True),
(False, False)):
with self.subTest(logX=logX, logY=logY):
plot.setXAxisLogarithmic(logX)
plot.setYAxisLogarithmic(logY)
dataRange = plot.getDataRange()
xRange, yRange = ranges[logX, logY]
self.assertTrue(numpy.array_equal(dataRange.x, xRange),
msg='{0} != {1}'.format(dataRange.x, xRange))
self.assertTrue(numpy.array_equal(dataRange.y, yRange),
msg='{0} != {1}'.format(dataRange.y, yRange))
self.assertIsNone(dataRange.yright)
def testAddNoRemove(self):
"""add objects to the Plot"""
plot = Plot(backend='none')
plot.addCurve(x=(1, 2, 3), y=(3, 2, 1))
plot.addImage(numpy.arange(100.).reshape(10, -1))
plot.addItem(
numpy.array((1., 10.)), numpy.array((10., 10.)), shape="rectangle")
plot.addXMarker(10.)
def testDataRangeCurveImage(self):
"""right+left+image axis range"""
# overlapping ranges :
# image sets x min and y max
# plot_left sets y min
# plot_right sets x max (and yright)
plot = Plot(backend='none')
origin = (-10, 5)
scale = (3., 8.)
image = numpy.arange(100.).reshape(20, 5)
plot.addImage(image,
origin=origin, scale=scale, legend='image')
xData_l = numpy.arange(10) - 0.9 # range : -0.9 , 8.1
yData_l = numpy.arange(10) - 1.9 # range : -1.9 , 7.1
plot.addCurve(x=xData_l,
y=yData_l,
legend='plot_l',
yaxis='left')
xData_r = numpy.arange(10) + 4.1 # range : 4.1 , 13.1
yData_r = numpy.arange(10) - 0.9 # range : -0.9 , 8.1
plot.addCurve(x=xData_r,
y=yData_r,
legend='plot_r',
yaxis='right')
imgXRange = numpy.array([0., image.shape[1] * scale[0]]) + origin[0]
imgYRange = numpy.array([0., image.shape[0] * scale[1]]) + origin[1]
for logX, logY in ((False, False),
(True, False),
(True, True),
(False, True),
(False, False)):
with self.subTest(logX=logX, logY=logY):
plot.setXAxisLogarithmic(logX)
plot.setYAxisLogarithmic(logY)
dataRange = plot.getDataRange()
xRangeL, yRangeL = self._getRanges([xData_l, yData_l],
[logX, logY])
xRangeR, yRangeR = self._getRanges([xData_r, yData_r],
[logX, logY])
if logX or logY:
xRangeLR = self._getRangesMinmax([xRangeL, xRangeR])
else:
xRangeLR = self._getRangesMinmax([xRangeL,
xRangeR,
imgXRange])
yRangeL = self._getRangesMinmax([yRangeL, imgYRange])
self.assertSequenceEqual(dataRange.x, xRangeLR)
self.assertSequenceEqual(dataRange.y, yRangeL)
self.assertSequenceEqual(dataRange.yright, yRangeR)
def testAddNoRemove(self):
"""add objects to the Plot"""
plot = Plot(backend='none')
plot.addCurve(x=(1, 2, 3), y=(3, 2, 1))
plot.addImage(numpy.arange(100.).reshape(10, -1))
plot.addItem(numpy.array((1., 10.)),
numpy.array((10., 10.)),
shape="rectangle")
plot.addXMarker(10.)
def testDataRangeImage(self):
"""image data range"""
plot = Plot(backend='none')
plot.addImage(numpy.arange(100.).reshape(20, 5),
origin=(-10, 25), scale=(3., 8.))
dataRange = plot.getDataRange()
self.assertEqual(dataRange.x, (-10., 5.))
self.assertEqual(dataRange.y, (25., 185.))
self.assertIsNone(dataRange.yright)
def testDataRangeCurveImage(self):
"""right+left+image axis range"""
# overlapping ranges :
# image sets x min and y max
# plot_left sets y min
# plot_right sets x max (and yright)
plot = Plot(backend='none')
origin = (-10, 5)
scale = (3., 8.)
image = numpy.arange(100.).reshape(20, 5)
plot.addImage(image, origin=origin, scale=scale, legend='image')
xData_l = numpy.arange(10) - 0.9 # range : -0.9 , 8.1
yData_l = numpy.arange(10) - 1.9 # range : -1.9 , 7.1
plot.addCurve(x=xData_l, y=yData_l, legend='plot_l', yaxis='left')
xData_r = numpy.arange(10) + 4.1 # range : 4.1 , 13.1
yData_r = numpy.arange(10) - 0.9 # range : -0.9 , 8.1
plot.addCurve(x=xData_r, y=yData_r, legend='plot_r', yaxis='right')
imgXRange = numpy.array([0., image.shape[1] * scale[0]]) + origin[0]
imgYRange = numpy.array([0., image.shape[0] * scale[1]]) + origin[1]
for logX, logY in ((False, False), (True, False), (True, True),
(False, True), (False, False)):
with self.subTest(logX=logX, logY=logY):
plot.setXAxisLogarithmic(logX)
plot.setYAxisLogarithmic(logY)
dataRange = plot.getDataRange()
xRangeL, yRangeL = self._getRanges([xData_l, yData_l],
[logX, logY])
xRangeR, yRangeR = self._getRanges([xData_r, yData_r],
[logX, logY])
if logX or logY:
xRangeLR = self._getRangesMinmax([xRangeL, xRangeR])
else:
xRangeLR = self._getRangesMinmax(
[xRangeL, xRangeR, imgXRange])
yRangeL = self._getRangesMinmax([yRangeL, imgYRange])
self.assertSequenceEqual(dataRange.x, xRangeLR)
self.assertSequenceEqual(dataRange.y, yRangeL)
self.assertSequenceEqual(dataRange.yright, yRangeR)
def testGetAllImages(self):
"""Plot.getAllImages test"""
plot = Plot(backend='none')
# No image
images = plot.getAllImages()
self.assertEqual(len(images), 0)
# 2 images
data = numpy.arange(100).reshape(10, 10)
plot.addImage(data, legend='1', replace=False)
plot.addImage(data, origin=(10, 10), legend='2', replace=False)
images = plot.getAllImages(just_legend=True)
self.assertEqual(list(images), ['1', '2'])
images = plot.getAllImages(just_legend=False)
self.assertEqual(len(images), 2)
self.assertEqual(images[0].getLegend(), '1')
self.assertEqual(images[1].getLegend(), '2')
def testDataRangeCurveImage(self):
"""right+left+image axis range"""
# overlapping ranges :
# image sets x min and y max
# plot_left sets y min
# plot_right sets x max (and yright)
plot = Plot(backend='none')
plot.addImage(numpy.arange(100.).reshape(20, 5),
origin=(-10, 5), scale=(3., 8.), legend='image')
plot.addCurve(x=numpy.arange(10) - 1., y=numpy.arange(10) - 2.,
legend='plot_left', yaxis='left')
plot.addCurve(x=numpy.arange(10) + 5., y=numpy.arange(10) - 1.,
legend='plot_right', yaxis='right')
dataRange = plot.getDataRange()
self.assertEqual(dataRange.x, (-10., 14.))
self.assertEqual(dataRange.y, (-2, 165.))
self.assertEqual(dataRange.yright, (-1., 8.))
def testGetAllImages(self):
"""Plot.getAllImages test"""
plot = Plot(backend='none')
# No image
images = plot.getAllImages()
self.assertEqual(len(images), 0)
# 2 images
data = numpy.arange(100).reshape(10, 10)
plot.addImage(data, legend='1', replace=False)
plot.addImage(data, origin=(10, 10), legend='2', replace=False)
images = plot.getAllImages(just_legend=True)
self.assertEqual(list(images), ['1', '2'])
images = plot.getAllImages(just_legend=False)
self.assertEqual(len(images), 2)
self.assertEqual(images[0][1], '1')
self.assertEqual(images[1][1], '2')