def __init__(self, parent=None):
DataWindow.__init__(self, parent)
self.plot = pyqtgraph.PlotWidget(self.plotFrame, antialiasing=True)
self.plot.hideAxis('bottom')
self.legend = self.plot.addLegend()
self.legend.hide()
self._finish_layout()
self.actionLegend_Box.triggered.connect(self.on_view_legend_box)
self.actionX_axis.triggered.connect(self.on_view_x_axis)
self.actionY_axis.triggered.connect(self.on_view_y_axis)
self.exclusive_source = False
self.line_colors = [(252, 175, 62), (114, 159, 207), (255, 255, 255),
(239, 41, 41), (138, 226, 52), (173, 127, 168)]
self.colorbar = None
self.colormap = None
self.current_index = -1
self.last_vector_y = {}
self.last_vector_x = None
self.hline = None
self.vline = None
self.hline_color = (0, 204, 0)
self.vline_color = (204, 0, 0)
self._settings_diag = LinePlotSettings(self)
self._histograms = {}
self._normalized_histograms = {}
self.updateFonts()
self.plot.scene().sigMouseMoved.connect(self._onMouseMoved)
# Make sure menubar is attached to the main window
self.menubar = self.menuBar()
self.menubar.setNativeMenuBar(False)
self.time_on_x_axis = False
self.time_axis = DateAxisItem(orientation='bottom')
def __init__(self, parent=None):
DataWindow.__init__(self, parent)
self.plot = pyqtgraph.PlotWidget(self.plotFrame, antialiasing=True)
self.plot.hideAxis('bottom')
self.legend = self.plot.addLegend()
self.legend.hide()
self._finish_layout()
self.actionLegend_Box.triggered.connect(self.on_view_legend_box)
self.actionX_axis.triggered.connect(self.on_view_x_axis)
self.actionY_axis.triggered.connect(self.on_view_y_axis)
self.acceptable_data_types = ['scalar', 'vector', 'tuple', 'triple', 'running_hist', 'histogram' ]
self.exclusive_source = False
self.line_colors = [(252, 175, 62), (114, 159, 207), (255, 255, 255),
(239, 41, 41), (138, 226, 52), (173, 127, 168)]
self.colorbar = None
self.colormap = None
self.current_index = -1
self.last_vector_y = {}
self.last_vector_x = None
self.hline = None
self.vline = None
self.hline_color = (0,204,0)
self.vline_color = (204,0,0)
self._settings_diag = LinePlotSettings(self)
self._histograms = {}
self.updateFonts()
self.plot.scene().sigMouseMoved.connect(self._onMouseMoved)
def __init__(self, parent=None):
DataWindow.__init__(self, parent)
self.plot = pyqtgraph.PlotWidget(self.plotFrame, antialiasing=True)
self.plot.hideAxis('bottom')
self.legend = self.plot.addLegend()
self.legend.hide()
self._finish_layout()
self.actionLegend_Box.triggered.connect(self.on_view_legend_box)
self.actionX_axis.triggered.connect(self.on_view_x_axis)
self.actionY_axis.triggered.connect(self.on_view_y_axis)
self.acceptable_data_types = ['scalar', 'vector', 'tuple', 'triple', 'running_hist', 'histogram' , 'normalized_histogram']
self.exclusive_source = False
self.line_colors = [(252, 175, 62), (114, 159, 207), (255, 255, 255),
(239, 41, 41), (138, 226, 52), (173, 127, 168)]
self.colorbar = None
self.colormap = None
self.current_index = -1
self.last_vector_y = {}
self.last_vector_x = None
self.hline = None
self.vline = None
self.hline_color = (0,204,0)
self.vline_color = (204,0,0)
self._settings_diag = LinePlotSettings(self)
self._histograms = {}
self._normalized_histograms = {}
self.updateFonts()
self.plot.scene().sigMouseMoved.connect(self._onMouseMoved)
def __init__(self, parent=None):
# This also sets up the UI part
DataWindow.__init__(self, parent)
# This is imported here to prevent problems with sphinx
from .image_view import ImageView
self.plot = ImageView(self, view=pyqtgraph.PlotItem())
self._finish_layout()
self.infoLabel.setText("")
self.acceptable_data_types = ["image", "vector", "triple", "running_hist"]
self.exclusive_source = True
self.alert = False
self.meanmap = None
self.vline = None
self.hline = None
self.settingsWidget.setVisible(self.actionPlotSettings.isChecked())
self.settingsWidget.ui.colormap_min.editingFinished.connect(self.set_colormap_range)
self.settingsWidget.ui.colormap_max.editingFinished.connect(self.set_colormap_range)
self.settingsWidget.ui.colormap_min.setValidator(QtGui.QDoubleValidator())
self.settingsWidget.ui.colormap_max.setValidator(QtGui.QDoubleValidator())
self.settingsWidget.ui.colormap_full_range.clicked.connect(self.set_colormap_full_range)
self.settingsWidget.ui.histogram_show.toggled.connect(self.plot.getHistogramWidget().setVisible)
self.actionHistogram.triggered.connect(self.plot.getHistogramWidget().setVisible)
self.actionHistogram.triggered.connect(self.settingsWidget.ui.histogram_show.setChecked)
self.settingsWidget.ui.histogram_show.toggled.connect(self.actionHistogram.setChecked)
self.settingsWidget.ui.x_show.toggled.connect(self.toggle_axis)
self.actionX_axis.triggered.connect(self.toggle_axis)
self.settingsWidget.ui.y_show.toggled.connect(self.toggle_axis)
self.actionY_axis.triggered.connect(self.toggle_axis)
self.settingsWidget.ui.histogram_show.toggled.connect(self.toggle_axis)
self.actionHistogram.triggered.connect(self.toggle_axis)
self.set_sounds_and_volume()
self.actionSound_on_off.triggered.connect(self.toggle_alert)
self.plot.getHistogramWidget().region.sigRegionChangeFinished.connect(self.set_colormap_range)
self.actionPlotSettings.triggered.connect(self.toggle_settings)
# Make sure to disable native menus
self.plot.getView().setMenuEnabled(False)
self.plot.getHistogramWidget().vb.setMenuEnabled(False)
self.x_axis_name = "left"
self.y_axis_name = "bottom"
self._set_logscale_lookuptable()
self.running_hist_initialised = False
def get_state(self, _settings=None):
"""Returns settings that can be used to restore the widget to the current state"""
settings = _settings or {}
settings['window_type'] = 'ImageWindow'
settings['actionPlotSettings'] = self.actionPlotSettings.isChecked()
# Disabled QLineEdits are confusing to QSettings. Store a dummy _
settings['x_label'] = "_" + self.settingsWidget.ui.x_label.text()
settings['y_label'] = "_" + self.settingsWidget.ui.y_label.text()
settings[
'x_label_auto'] = self.settingsWidget.ui.x_label_auto.isChecked()
settings[
'y_label_auto'] = self.settingsWidget.ui.y_label_auto.isChecked()
settings['colormap_min'] = str(
self.settingsWidget.ui.colormap_min.text())
settings['colormap_max'] = str(
self.settingsWidget.ui.colormap_max.text())
settings['transpose'] = self.settingsWidget.ui.transpose.currentText()
settings['flipx'] = self.settingsWidget.ui.flipx.currentText()
settings['flipy'] = self.settingsWidget.ui.flipy.currentText()
settings['viewbox'] = self.plot.getView().getViewBox().getState()
settings['x_view'] = self.actionX_axis.isChecked()
settings['y_view'] = self.actionY_axis.isChecked()
settings['histogram_view'] = self.actionHistogram.isChecked()
settings['crosshair'] = self.actionCrosshair.isChecked()
settings['gradient_mode'] = self.plot.getHistogramWidget(
).item.gradient.saveState()
return DataWindow.get_state(self, settings)
def restore_from_state(self, settings, data_sources):
"""Restores the widget to the same state as when the settings were generated"""
self.actionPlotSettings.setChecked(settings['actionPlotSettings'])
self.actionPlotSettings.triggered.emit(self.actionPlotSettings.isChecked())
self.settingsWidget.ui.x_label.setText(settings['x_label'][1:])
self.settingsWidget.ui.y_label.setText(settings['y_label'][1:])
self.settingsWidget.ui.x_label_auto.setChecked(settings['x_label_auto'])
self.settingsWidget.ui.x_label_auto.toggled.emit(settings['x_label_auto'])
self.settingsWidget.ui.y_label_auto.setChecked(settings['y_label_auto'])
self.settingsWidget.ui.y_label_auto.toggled.emit(settings['y_label_auto'])
self.settingsWidget.ui.colormap_min.setText(settings['colormap_min'])
self.settingsWidget.ui.colormap_max.setText(settings['colormap_max'])
self.settingsWidget.ui.colormap_max.editingFinished.emit()
transpose = self.settingsWidget.ui.transpose
transpose.setCurrentIndex(transpose.findText(settings['transpose']))
flipy = self.settingsWidget.ui.flipy
flipy.setCurrentIndex(flipy.findText(settings['flipy']))
flipx = self.settingsWidget.ui.flipx
flipx.setCurrentIndex(flipx.findText(settings['flipx']))
self.plot.getView().getViewBox().setState(settings['viewbox'])
self.actionX_axis.setChecked(settings['x_view'])
self.actionX_axis.triggered.emit(settings['x_view'])
self.actionY_axis.setChecked(settings['y_view'])
self.actionY_axis.triggered.emit(settings['y_view'])
self.actionHistogram.setChecked(settings['histogram_view'])
self.actionHistogram.triggered.emit(settings['histogram_view'])
self.actionCrosshair.setChecked(settings['crosshair'])
self.actionCrosshair.triggered.emit(settings['crosshair'])
self.plot.getHistogramWidget().item.gradient.restoreState(settings['gradient_mode'])
return DataWindow.restore_from_state(self, settings, data_sources)
def restore_from_state(self, settings, data_sources):
"""Restores the widget to the same state as when the settings were generated"""
self.actionPlotSettings.setChecked(settings["actionPlotSettings"])
self.actionPlotSettings.triggered.emit(self.actionPlotSettings.isChecked())
self.settingsWidget.ui.x_label.setText(settings["x_label"][1:])
self.settingsWidget.ui.y_label.setText(settings["y_label"][1:])
self.settingsWidget.ui.x_label_auto.setChecked(settings["x_label_auto"])
self.settingsWidget.ui.x_label_auto.toggled.emit(settings["x_label_auto"])
self.settingsWidget.ui.y_label_auto.setChecked(settings["y_label_auto"])
self.settingsWidget.ui.y_label_auto.toggled.emit(settings["y_label_auto"])
self.settingsWidget.ui.colormap_min.setText(settings["colormap_min"])
self.settingsWidget.ui.colormap_max.setText(settings["colormap_max"])
self.settingsWidget.ui.colormap_max.editingFinished.emit()
transpose = self.settingsWidget.ui.transpose
transpose.setCurrentIndex(transpose.findText(settings["transpose"]))
flipy = self.settingsWidget.ui.flipy
flipy.setCurrentIndex(flipy.findText(settings["flipy"]))
self.plot.getView().getViewBox().setState(settings["viewbox"])
self.actionX_axis.setChecked(settings["x_view"])
self.actionX_axis.triggered.emit(settings["x_view"])
self.actionY_axis.setChecked(settings["y_view"])
self.actionY_axis.triggered.emit(settings["y_view"])
self.actionHistogram.setChecked(settings["histogram_view"])
self.actionHistogram.triggered.emit(settings["histogram_view"])
return DataWindow.restore_from_state(self, settings, data_sources)
def restore_from_state(self, settings, data_sources):
self.plot.getViewBox().setState(settings['viewbox'])
self.actionX_axis.setChecked(settings['x_view'])
self.actionX_axis.triggered.emit(settings['x_view'])
self.actionY_axis.setChecked(settings['y_view'])
self.actionY_axis.triggered.emit(settings['y_view'])
self.actionLines.setChecked(settings['lines'])
self.actionPoints.setChecked(settings['points'])
self.actionLegend_Box.setChecked(settings['legend'])
self.actionLegend_Box.triggered.emit(settings['legend'])
return DataWindow.restore_from_state(self, settings, data_sources)
def restore_from_state(self, settings, data_sources):
self._settings_diag.restore_from_state(settings)
self.plot.getViewBox().setState(settings['viewbox'])
self.actionX_axis.setChecked(settings['x_view'])
self.actionX_axis.triggered.emit(settings['x_view'])
self.actionY_axis.setChecked(settings['y_view'])
self.actionY_axis.triggered.emit(settings['y_view'])
self.actionLines.setChecked(settings['lines'])
self.actionPoints.setChecked(settings['points'])
self.actionLegend_Box.setChecked(settings['legend'])
self.actionLegend_Box.triggered.emit(settings['legend'])
return DataWindow.restore_from_state(self, settings, data_sources)
def get_state(self, _settings = None):
"""Returns settings that can be used to restore the widget to the current state"""
settings = _settings or {}
settings['window_type'] = 'PlotWindow'
settings['viewbox'] = self.plot.getViewBox().getState()
settings['x_view'] = self.actionX_axis.isChecked()
settings['y_view'] = self.actionY_axis.isChecked()
settings['lines'] = self.actionLines.isChecked()
settings['points'] = self.actionPoints.isChecked()
settings['legend'] = self.actionLegend_Box.isChecked()
settings = self._settings_diag.get_state(settings)
return DataWindow.get_state(self, settings)
def get_state(self, _settings = None):
"""Returns settings that can be used to restore the widget to the current state"""
settings = _settings or {}
settings['window_type'] = 'PlotWindow'
settings['viewbox'] = self.plot.getViewBox().getState()
settings['x_view'] = self.actionX_axis.isChecked()
settings['y_view'] = self.actionY_axis.isChecked()
settings['lines'] = self.actionLines.isChecked()
settings['points'] = self.actionPoints.isChecked()
settings['legend'] = self.actionLegend_Box.isChecked()
return DataWindow.get_state(self, settings)
def get_state(self, _settings=None):
"""Returns settings that can be used to restore the widget to the current state"""
settings = _settings or {}
settings['window_type'] = 'PlotWindow'
settings['viewbox'] = self.plot.getViewBox().getState()
settings['x_view'] = self.actionX_axis.isChecked()
settings['y_view'] = self.actionY_axis.isChecked()
settings['lines'] = self.actionLines.isChecked()
settings['points'] = self.actionPoints.isChecked()
settings['legend'] = self.actionLegend_Box.isChecked()
plot_item = self.plot.getPlotItem()
settings['grid_x'] = plot_item.ctrl.xGridCheck.isChecked()
settings['grid_y'] = plot_item.ctrl.yGridCheck.isChecked()
settings['grid_alpha'] = plot_item.ctrl.gridAlphaSlider.value()
settings = self._settings_diag.get_state(settings)
return DataWindow.get_state(self, settings)
def restore_from_state(self, settings, data_sources):
self._settings_diag.restore_from_state(settings)
self.plot.getViewBox().setState(settings['viewbox'])
self.actionX_axis.setChecked(settings['x_view'])
self.actionX_axis.triggered.emit(settings['x_view'])
self.actionY_axis.setChecked(settings['y_view'])
self.actionY_axis.triggered.emit(settings['y_view'])
self.actionLines.setChecked(settings['lines'])
self.actionPoints.setChecked(settings['points'])
self.actionLegend_Box.setChecked(settings['legend'])
self.actionLegend_Box.triggered.emit(settings['legend'])
plot_item = self.plot.getPlotItem()
plot_item.ctrl.xGridCheck.setChecked(settings['grid_x'])
plot_item.ctrl.xGridCheck.toggled.emit(settings['grid_x'])
plot_item.ctrl.yGridCheck.setChecked(settings['grid_y'])
plot_item.ctrl.yGridCheck.toggled.emit(settings['grid_y'])
plot_item.ctrl.gridAlphaSlider.setValue(settings['grid_alpha'])
return DataWindow.restore_from_state(self, settings, data_sources)
def get_state(self, _settings=None):
"""Returns settings that can be used to restore the widget to the current state"""
settings = _settings or {}
settings["window_type"] = "ImageWindow"
settings["actionPlotSettings"] = self.actionPlotSettings.isChecked()
# Disabled QLineEdits are confusing to QSettings. Store a dummy _
settings["x_label"] = "_" + self.settingsWidget.ui.x_label.text()
settings["y_label"] = "_" + self.settingsWidget.ui.y_label.text()
settings["x_label_auto"] = self.settingsWidget.ui.x_label_auto.isChecked()
settings["y_label_auto"] = self.settingsWidget.ui.y_label_auto.isChecked()
settings["colormap_min"] = str(self.settingsWidget.ui.colormap_min.text())
settings["colormap_max"] = str(self.settingsWidget.ui.colormap_max.text())
settings["transpose"] = self.settingsWidget.ui.transpose.currentText()
settings["flipy"] = self.settingsWidget.ui.flipy.currentText()
settings["viewbox"] = self.plot.getView().getViewBox().getState()
settings["x_view"] = self.actionX_axis.isChecked()
settings["y_view"] = self.actionY_axis.isChecked()
settings["histogram_view"] = self.actionHistogram.isChecked()
return DataWindow.get_state(self, settings)
def get_state(self, _settings = None):
"""Returns settings that can be used to restore the widget to the current state"""
settings = _settings or {}
settings['window_type'] = 'ImageWindow'
settings['actionPlotSettings'] = self.actionPlotSettings.isChecked()
# Disabled QLineEdits are confusing to QSettings. Store a dummy _
settings['x_label'] = "_" + self.settingsWidget.ui.x_label.text()
settings['y_label'] = "_" + self.settingsWidget.ui.y_label.text()
settings['x_label_auto'] = self.settingsWidget.ui.x_label_auto.isChecked()
settings['y_label_auto'] = self.settingsWidget.ui.y_label_auto.isChecked()
settings['colormap_min'] = str(self.settingsWidget.ui.colormap_min.text())
settings['colormap_max'] = str(self.settingsWidget.ui.colormap_max.text())
settings['transpose'] = self.settingsWidget.ui.transpose.currentText()
settings['flipx'] = self.settingsWidget.ui.flipx.currentText()
settings['flipy'] = self.settingsWidget.ui.flipy.currentText()
settings['viewbox'] = self.plot.getView().getViewBox().getState()
settings['x_view'] = self.actionX_axis.isChecked()
settings['y_view'] = self.actionY_axis.isChecked()
settings['histogram_view'] = self.actionHistogram.isChecked()
settings['crosshair'] = self.actionCrosshair.isChecked()
settings['gradient_mode'] = self.plot.getHistogramWidget().item.gradient.saveState()
return DataWindow.get_state(self, settings)
def restore_from_state(self, settings, data_sources):
"""Restores the widget to the same state as when the settings were generated"""
self.actionPlotSettings.setChecked(settings['actionPlotSettings'])
self.actionPlotSettings.triggered.emit(
self.actionPlotSettings.isChecked())
self.settingsWidget.ui.x_label.setText(settings['x_label'][1:])
self.settingsWidget.ui.y_label.setText(settings['y_label'][1:])
self.settingsWidget.ui.x_label_auto.setChecked(
settings['x_label_auto'])
self.settingsWidget.ui.x_label_auto.toggled.emit(
settings['x_label_auto'])
self.settingsWidget.ui.y_label_auto.setChecked(
settings['y_label_auto'])
self.settingsWidget.ui.y_label_auto.toggled.emit(
settings['y_label_auto'])
self.settingsWidget.ui.colormap_min.setText(settings['colormap_min'])
self.settingsWidget.ui.colormap_max.setText(settings['colormap_max'])
self.settingsWidget.ui.colormap_max.editingFinished.emit()
transpose = self.settingsWidget.ui.transpose
transpose.setCurrentIndex(transpose.findText(settings['transpose']))
flipy = self.settingsWidget.ui.flipy
flipy.setCurrentIndex(flipy.findText(settings['flipy']))
flipx = self.settingsWidget.ui.flipx
flipx.setCurrentIndex(flipx.findText(settings['flipx']))
self.plot.getView().getViewBox().setState(settings['viewbox'])
self.actionX_axis.setChecked(settings['x_view'])
self.actionX_axis.triggered.emit(settings['x_view'])
self.actionY_axis.setChecked(settings['y_view'])
self.actionY_axis.triggered.emit(settings['y_view'])
self.actionHistogram.setChecked(settings['histogram_view'])
self.actionHistogram.triggered.emit(settings['histogram_view'])
self.actionCrosshair.setChecked(settings['crosshair'])
self.actionCrosshair.triggered.emit(settings['crosshair'])
self.plot.getHistogramWidget().item.gradient.restoreState(
settings['gradient_mode'])
return DataWindow.restore_from_state(self, settings, data_sources)
def __init__(self, parent=None):
# This also sets up the UI part
DataWindow.__init__(self, parent)
# This is imported here to prevent problems with sphinx
from .image_view import ImageView
self.plot = ImageView(self, view=pyqtgraph.PlotItem())
self._finish_layout()
self.infoLabel.setText('')
self.acceptable_data_types = ['image', 'vector', 'triple', 'running_hist']
self.exclusive_source = True
self.meanmap = None
self.last_x = None
self.last_y = None
self.mm_last = None
self.vline = None
self.hline = None
self.settingsWidget.setVisible(self.actionPlotSettings.isChecked())
self.settingsWidget.ui.colormap_min.editingFinished.connect(self.set_colormap_range)
self.settingsWidget.ui.colormap_max.editingFinished.connect(self.set_colormap_range)
self.settingsWidget.ui.colormap_min.setValidator(QtGui.QDoubleValidator())
self.settingsWidget.ui.colormap_max.setValidator(QtGui.QDoubleValidator())
self.settingsWidget.ui.colormap_full_range.clicked.connect(self.set_colormap_full_range)
self.settingsWidget.ui.histogram_show.toggled.connect(self.plot.getHistogramWidget().setVisible)
self.actionHistogram.triggered.connect(self.plot.getHistogramWidget().setVisible)
self.actionHistogram.triggered.connect(self.settingsWidget.ui.histogram_show.setChecked)
self.settingsWidget.ui.histogram_show.toggled.connect(self.actionHistogram.setChecked)
self.settingsWidget.ui.x_show.toggled.connect(self.toggle_axis)
self.actionX_axis.triggered.connect(self.toggle_axis)
self.settingsWidget.ui.y_show.toggled.connect(self.toggle_axis)
self.actionY_axis.triggered.connect(self.toggle_axis)
self.settingsWidget.ui.histogram_show.toggled.connect(self.toggle_axis)
self.actionHistogram.triggered.connect(self.toggle_axis)
self.settingsWidget.ui.modelCenterX.setValidator(QtGui.QDoubleValidator())
self.settingsWidget.ui.modelCenterY.setValidator(QtGui.QDoubleValidator())
self.settingsWidget.ui.modelDiameter.setValidator(QtGui.QDoubleValidator())
self.settingsWidget.ui.photonEnergy.setValidator(QtGui.QDoubleValidator())
self.settingsWidget.ui.detectorGain.setValidator(QtGui.QDoubleValidator())
self.settingsWidget.ui.detectorDistance.setValidator(QtGui.QDoubleValidator())
self.settingsWidget.ui.detectorPixelSize.setValidator(QtGui.QDoubleValidator())
self.modelParameters = {}
success, spimage = utils.io.load_spimage()
if not success:
# no spimage available, we need to disable the model settings
self.settingsWidget.ui.modelTab.setEnabled(False)
else:
self.spimage = spimage
self.settingsWidget.ui.colormap_max.setValidator(QtGui.QDoubleValidator())
self.plot.getHistogramWidget().region.sigRegionChangeFinished.connect(self.set_colormap_range)
self.actionPlotSettings.triggered.connect(self.toggle_settings)
# Make sure to disable native menus
self.plot.getView().setMenuEnabled(False)
self.plot.getHistogramWidget().vb.setMenuEnabled(False)
self.x_axis_name = 'left'
self.y_axis_name = 'bottom'
self._set_logscale_lookuptable()
self.running_hist_initialised = False
self.actionReset_cache.triggered.connect(self.on_reset_cache)
self.updateFonts()
# By default do not show x and y axis on images
self.plot.getView().getAxis('left').setVisible(False)
self.actionY_axis.setChecked(False)
self.plot.getView().getAxis('bottom').setVisible(False)
self.actionX_axis.setChecked(False)
self.plot.getView().scene().sigMouseMoved.connect(self._onMouseMoved)
self.plot.getView().scene().sigMouseHover.connect(self._onMouseHover)
def __init__(self, parent=None):
# This also sets up the UI part
DataWindow.__init__(self, parent)
# This is imported here to prevent problems with sphinx
from .image_view import ImageView
self.plot = ImageView(self, view=pyqtgraph.PlotItem())
self._finish_layout()
self.infoLabel.setText('')
self.acceptable_data_types = [
'image', 'vector', 'triple', 'running_hist'
]
self.exclusive_source = True
self.meanmap = None
self.last_x = None
self.last_y = None
self.mm_last = None
self.vline = None
self.hline = None
self.settingsWidget.setVisible(self.actionPlotSettings.isChecked())
self.settingsWidget.ui.colormap_min.editingFinished.connect(
self.set_colormap_range)
self.settingsWidget.ui.colormap_max.editingFinished.connect(
self.set_colormap_range)
self.settingsWidget.ui.colormap_min.setValidator(
QtGui.QDoubleValidator())
self.settingsWidget.ui.colormap_max.setValidator(
QtGui.QDoubleValidator())
self.settingsWidget.ui.colormap_full_range.clicked.connect(
self.set_colormap_full_range)
self.settingsWidget.ui.histogram_show.toggled.connect(
self.plot.getHistogramWidget().setVisible)
self.actionHistogram.triggered.connect(
self.plot.getHistogramWidget().setVisible)
self.actionHistogram.triggered.connect(
self.settingsWidget.ui.histogram_show.setChecked)
self.settingsWidget.ui.histogram_show.toggled.connect(
self.actionHistogram.setChecked)
self.settingsWidget.ui.x_show.toggled.connect(self.toggle_axis)
self.actionX_axis.triggered.connect(self.toggle_axis)
self.settingsWidget.ui.y_show.toggled.connect(self.toggle_axis)
self.actionY_axis.triggered.connect(self.toggle_axis)
self.settingsWidget.ui.histogram_show.toggled.connect(self.toggle_axis)
self.actionHistogram.triggered.connect(self.toggle_axis)
self.settingsWidget.ui.modelCenterX.setValidator(
QtGui.QDoubleValidator())
self.settingsWidget.ui.modelCenterY.setValidator(
QtGui.QDoubleValidator())
self.settingsWidget.ui.modelDiameter.setValidator(
QtGui.QDoubleValidator())
self.settingsWidget.ui.photonEnergy.setValidator(
QtGui.QDoubleValidator())
self.settingsWidget.ui.detectorGain.setValidator(
QtGui.QDoubleValidator())
self.settingsWidget.ui.detectorDistance.setValidator(
QtGui.QDoubleValidator())
self.settingsWidget.ui.detectorPixelSize.setValidator(
QtGui.QDoubleValidator())
self.modelParameters = {}
success, spimage = utils.io.load_spimage()
if not success:
# no spimage available, we need to disable the model settings
self.settingsWidget.ui.modelTab.setEnabled(False)
else:
self.spimage = spimage
self.settingsWidget.ui.colormap_max.setValidator(
QtGui.QDoubleValidator())
self.plot.getHistogramWidget().region.sigRegionChangeFinished.connect(
self.set_colormap_range)
self.actionPlotSettings.triggered.connect(self.toggle_settings)
# Make sure to disable native menus
self.plot.getView().setMenuEnabled(False)
self.plot.getHistogramWidget().vb.setMenuEnabled(False)
self.x_axis_name = 'left'
self.y_axis_name = 'bottom'
self._set_logscale_lookuptable()
self.running_hist_initialised = False
self.actionReset_cache.triggered.connect(self.on_reset_cache)