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 testDataRangeLeftRight(self): """right+left axis range""" plot = Plot(backend='none') 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) - 4.9 # range : -4.9 , 4.1 yData_r = numpy.arange(10) - 6.9 # range : -6.9 , 2.1 plot.addCurve(x=xData_r, y=yData_r, legend='plot_r', yaxis='right') 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]) xRangeLR = self._getRangesMinmax([xRangeL, xRangeR]) self.assertSequenceEqual(dataRange.x, xRangeLR) self.assertSequenceEqual(dataRange.y, yRangeL) self.assertSequenceEqual(dataRange.yright, yRangeR)
def testDataRangeRight(self): """right axis range""" plot = Plot(backend='none') xData = numpy.arange(10) - 4.9 # range : -4.9 , 4.1 yData = numpy.arange(10) - 6.9 # range : -6.9 , 2.1 plot.addCurve(x=xData, y=yData, legend='plot_0', yaxis='right') 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 = self._getRanges([xData, yData], [logX, logY]) self.assertSequenceEqual(dataRange.x, xRange) self.assertIsNone(dataRange.y) self.assertSequenceEqual(dataRange.yright, yRange)
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 testDataRangeNoPlot(self): """empty plot data range""" plot = Plot(backend='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() self.assertIsNone(dataRange.x) self.assertIsNone(dataRange.y) 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)