def testDataRangeLeftRight(self): """right+left axis range""" plot = PlotWidget(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.getXAxis()._setLogarithmic(logX) plot.getYAxis()._setLogarithmic(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 testDataRangeImageNegativeScaleY(self): """image data range, negative scale""" origin = (-10, 25) scale = (3., -8.) image = numpy.arange(100.).reshape(20, 5) plot = PlotWidget(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.getXAxis()._setLogarithmic(logX) plot.getYAxis()._setLogarithmic(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 testDataRangeRight(self): """right axis range""" plot = PlotWidget(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.getXAxis()._setLogarithmic(logX) plot.getYAxis()._setLogarithmic(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 testDataRangeImageNegativeScaleY(self): """image data range, negative scale""" origin = (-10, 25) scale = (3., -8.) image = numpy.arange(100.).reshape(20, 5) plot = PlotWidget(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.getXAxis()._setLogarithmic(logX) plot.getYAxis()._setLogarithmic(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 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 = PlotWidget(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.getXAxis()._setLogarithmic(logX) plot.getYAxis()._setLogarithmic(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 testPlotTitleLabels(self): """Create a Plot and set the labels""" plot = PlotWidget(backend='none') title, xlabel, ylabel = 'the title', 'x label', 'y label' plot.setGraphTitle(title) plot.getXAxis().setLabel(xlabel) plot.getYAxis().setLabel(ylabel) self.assertEqual(plot.getGraphTitle(), title) self.assertEqual(plot.getXAxis().getLabel(), xlabel) self.assertEqual(plot.getYAxis().getLabel(), ylabel)
def testDataRangeNoPlot(self): """empty plot data range""" plot = PlotWidget(backend='none') for logX, logY in ((False, False), (True, False), (True, True), (False, True), (False, False)): with self.subTest(logX=logX, logY=logY): plot.getXAxis()._setLogarithmic(logX) plot.getYAxis()._setLogarithmic(logY) dataRange = plot.getDataRange() self.assertIsNone(dataRange.x) self.assertIsNone(dataRange.y) self.assertIsNone(dataRange.yright)
class _ImagePreview(qt.QWidget): """Provide a preview of the selected image""" def __init__(self, parent=None): super(_ImagePreview, self).__init__(parent) self.__data = None self.__plot = PlotWidget(self) self.__plot.setAxesDisplayed(False) self.__plot.setKeepDataAspectRatio(True) layout = qt.QVBoxLayout() layout.setContentsMargins(0, 0, 0, 0) layout.addWidget(self.__plot) self.setLayout(layout) def resizeEvent(self, event): self.__updateConstraints() return qt.QWidget.resizeEvent(self, event) def sizeHint(self): return qt.QSize(200, 200) def plot(self): return self.__plot def setData(self, data, fromDataSelector=False): if data is None: self.clear() return resetzoom = not fromDataSelector previousImage = self.data() if previousImage is not None and data.shape != previousImage.shape: resetzoom = True self.__plot.addImage(legend="data", data=data, resetzoom=resetzoom) self.__data = data self.__updateConstraints() def __updateConstraints(self): """ Update the constraints depending on the size of the widget """ image = self.data() if image is None: return size = self.size() if size.width() == 0 or size.height() == 0: return heightData, widthData = image.shape widthContraint = heightData * size.width() / size.height() if widthContraint > widthData: heightContraint = heightData else: heightContraint = heightData * size.height() / size.width() widthContraint = widthData midWidth, midHeight = widthData * 0.5, heightData * 0.5 heightContraint, widthContraint = heightContraint * 0.5, widthContraint * 0.5 axis = self.__plot.getXAxis() axis.setLimitsConstraints(midWidth - widthContraint, midWidth + widthContraint) axis = self.__plot.getYAxis() axis.setLimitsConstraints(midHeight - heightContraint, midHeight + heightContraint) def __imageItem(self): image = self.__plot.getImage("data") return image def data(self): if self.__data is not None: if hasattr(self.__data, "name"): # in case of HDF5 if self.__data.name is None: # The dataset was closed self.__data = None return self.__data def colormap(self): image = self.__imageItem() if image is not None: return image.getColormap() return self.__plot.getDefaultColormap() def setColormap(self, colormap): self.__plot.setDefaultColormap(colormap) def clear(self): self.__data = None image = self.__imageItem() if image is not None: self.__plot.removeImage(legend="data")