Python PlotWidget.show方法代码示例

# 需要导入模块: from silx.gui.plot import PlotWidget [as 别名]
# 或者: from silx.gui.plot.PlotWidget import show [as 别名]
class TestNamedScatterAlphaSlider(TestCaseQt):
    def setUp(self):
        super(TestNamedScatterAlphaSlider, self).setUp()
        self.plot = PlotWidget()
        self.aslider = AlphaSlider.NamedScatterAlphaSlider(plot=self.plot)
        self.aslider.setOrientation(qt.Qt.Horizontal)

        toolbar = qt.QToolBar("plot", self.plot)
        toolbar.addWidget(self.aslider)
        self.plot.addToolBar(toolbar)

        self.plot.show()
        self.qWaitForWindowExposed(self.plot)

        self.mouseMove(self.plot)  # Move to center
        self.qapp.processEvents()

    def tearDown(self):
        self.qapp.processEvents()
        self.plot.setAttribute(qt.Qt.WA_DeleteOnClose)
        self.plot.close()
        del self.plot
        del self.aslider

        super(TestNamedScatterAlphaSlider, self).tearDown()

    def testWidgetEnabled(self):
        # no Scatter set initially, slider must be deactivate
        self.assertFalse(self.aslider.isEnabled())

        self.plot.addScatter([0, 1, 2], [2, 3, 4], [5, 6, 7],
                             legend="1")
        self.aslider.setLegend("1")
        # now we have an image set
        self.assertTrue(self.aslider.isEnabled())

    def testGetScatter(self):
        self.plot.addScatter([0, 1, 2], [2, 3, 4], [5, 6, 7],
                             legend="1")
        self.plot.addScatter([0, 10, 20], [20, 30, 40], [50, 60, 70],
                             legend="2")
        self.aslider.setLegend("1")
        self.assertEqual(self.plot.getScatter("1"),
                         self.aslider.getItem())

        self.aslider.setLegend("2")
        self.assertEqual(self.plot.getScatter("2"),
                         self.aslider.getItem())

    def testGetAlpha(self):
        self.plot.addScatter([0, 10, 20], [20, 30, 40], [50, 60, 70],
                             legend="1")
        self.aslider.setLegend("1")
        self.aslider.setValue(128)
        self.assertAlmostEqual(self.aslider.getAlpha(),
                               128. / 255)

# 需要导入模块: from silx.gui.plot import PlotWidget [as 别名]
# 或者: from silx.gui.plot.PlotWidget import show [as 别名]
class TestActiveImageAlphaSlider(TestCaseQt):
    def setUp(self):
        super(TestActiveImageAlphaSlider, self).setUp()
        self.plot = PlotWidget()
        self.aslider = AlphaSlider.ActiveImageAlphaSlider(plot=self.plot)
        self.aslider.setOrientation(qt.Qt.Horizontal)

        toolbar = qt.QToolBar("plot", self.plot)
        toolbar.addWidget(self.aslider)
        self.plot.addToolBar(toolbar)

        self.plot.show()
        self.qWaitForWindowExposed(self.plot)

        self.mouseMove(self.plot)  # Move to center
        self.qapp.processEvents()

    def tearDown(self):
        self.qapp.processEvents()
        self.plot.setAttribute(qt.Qt.WA_DeleteOnClose)
        self.plot.close()
        del self.plot
        del self.aslider

        super(TestActiveImageAlphaSlider, self).tearDown()

    def testWidgetEnabled(self):
        # no active image initially, slider must be deactivate
        self.assertFalse(self.aslider.isEnabled())

        self.plot.addImage(numpy.array([[0, 1, 2], [3, 4, 5]]))
        # now we have an active image
        self.assertTrue(self.aslider.isEnabled())

        self.plot.setActiveImage(None)
        self.assertFalse(self.aslider.isEnabled())

    def testGetImage(self):
        self.plot.addImage(numpy.array([[0, 1, 2], [3, 4, 5]]))
        self.assertEqual(self.plot.getActiveImage(),
                         self.aslider.getItem())

        self.plot.addImage(numpy.array([[0, 1, 3], [2, 4, 6]]), legend="2")
        self.plot.setActiveImage("2")
        self.assertEqual(self.plot.getImage("2"),
                         self.aslider.getItem())

    def testGetAlpha(self):
        self.plot.addImage(numpy.array([[0, 1, 2], [3, 4, 5]]), legend="1")
        self.aslider.setValue(137)
        self.assertAlmostEqual(self.aslider.getAlpha(),
                               137. / 255)

# 需要导入模块: from silx.gui.plot import PlotWidget [as 别名]
# 或者: from silx.gui.plot.PlotWidget import show [as 别名]
class _PlotWidgetTest(TestCaseQt):
    """Base class for tests of PlotWidget, not a TestCase in itself.

    plot attribute is the PlotWidget created for the test.
    """

    def setUp(self):
        super(_PlotWidgetTest, self).setUp()
        self.plot = PlotWidget()
        self.plot.show()
        self.qWaitForWindowExposed(self.plot)

    def tearDown(self):
        self.qapp.processEvents()
        self.plot.setAttribute(qt.Qt.WA_DeleteOnClose)
        self.plot.close()
        del self.plot
        super(_PlotWidgetTest, self).tearDown()

# 需要导入模块: from silx.gui.plot import PlotWidget [as 别名]
# 或者: from silx.gui.plot.PlotWidget import show [as 别名]
    from PyMca5 import PyMcaPlugins
    import os
    from silx.test.utils import add_relative_noise
    from silx.gui.plot import PlotWidget

    # build a plot widget with a plugin toolbar button
    app = qt.QApplication([])
    master_plot = PlotWidget()
    toolb = qt.QToolBar(master_plot)
    plugins_tb_2d = PluginsToolButton(plot=master_plot,
                                      parent=toolb,
                                      method="getPlugin2DInstance")
    plugins_tb_2d.getPlugins(
                    method="getPlugin2DInstance",
                    directoryList=[os.path.dirname(PyMcaPlugins.__file__)])
    toolb.addWidget(plugins_tb_2d)
    master_plot.addToolBar(toolb)
    master_plot.show()

    # add a noisy image
    a, b = numpy.meshgrid(numpy.linspace(-10, 10, 500),
                          numpy.linspace(-10, 5, 400),
                          indexing="ij")
    myimg = numpy.asarray(numpy.sin(a * b) / (a * b),
                          dtype='float32')
    myimg = add_relative_noise(myimg,
                               max_noise=10.)    # %
    master_plot.addImage(myimg)

    app.exec_()

# 需要导入模块: from silx.gui.plot import PlotWidget [as 别名]
# 或者: from silx.gui.plot.PlotWidget import show [as 别名]
        if maxValue == 1:
            startIndex = 1
            colors = numpy.zeros((2, 4), dtype=numpy.uint8)
            colors[1, 3] = 255
        else:
            raise ValueError("Different mask levels require color list input")
    oldShape = pixmap.shape
    pixmap.shape = -1, 4
    maskView = mask[:]
    maskView.shape = -1,
    blendFactor = 0.8
    for i in range(startIndex, maxValue + 1):
        idx = (maskView==i)
        pixmap[idx, :] = pixmap[idx, :] * blendFactor + \
                         colors[i] * (1.0 - blendFactor)
    pixmap.shape = oldShape
    return pixmap

if __name__ == "__main__":
    from PyMca5.PyMcaGui import PyMcaQt as qt
    from silx.gui.plot import PlotWidget
    app = qt.QApplication([])
    w = PlotWidget()
    data = numpy.arange(10000.).reshape(100, 100)
    mask = numpy.zeros(data.shape, dtype=numpy.uint8)
    mask[25:75, 25:75] = 1
    image = getPixmapFromData(data, mask=mask)
    w.addImage(image, mask=mask)
    w.show()
    app.exec_()

# 需要导入模块: from silx.gui.plot import PlotWidget [as 别名]
# 或者: from silx.gui.plot.PlotWidget import show [as 别名]
            comment += "none"
        return comment, "CENTER"


app = qt.QApplication([])

x = numpy.arange(1000)

# first widget has a standalone preview action with custom title and comment
pw1 = PlotWidget()
pw1.setWindowTitle("Widget 1 with standalone print preview")
toolbar1 = qt.QToolBar(pw1)
toolbutton1 = MyPrintPreviewButton(parent=toolbar1, plot=pw1)
pw1.addToolBar(toolbar1)
toolbar1.addWidget(toolbutton1)
pw1.show()
pw1.addCurve(x, numpy.tan(x * 2 * numpy.pi / 1000))

# next two plots share a common standard print preview
pw2 = PlotWidget()
pw2.setWindowTitle("Widget 2 with shared print preview")
toolbar2 = qt.QToolBar(pw2)
toolbutton2 = PrintPreviewToolButton.SingletonPrintPreviewToolButton(
        parent=toolbar2, plot=pw2)
pw2.addToolBar(toolbar2)
toolbar2.addWidget(toolbutton2)
pw2.show()
pw2.addCurve(x, numpy.sin(x * 2 * numpy.pi / 1000))


pw3 = PlotWidget()