def __init__(self, presenter, dims_info, can_normalise, parent=None):
super().__init__(parent)
self.presenter = presenter
self.line_plots = False
self.can_normalise = can_normalise
# Dimension widget
self.dimensions_layout = QHBoxLayout()
self.dimensions = DimensionWidget(dims_info, parent=self)
self.dimensions.dimensionsChanged.connect(self.presenter.dimensions_changed)
self.dimensions.valueChanged.connect(self.presenter.slicepoint_changed)
self.dimensions_layout.addWidget(self.dimensions)
self.colorbar_layout = QVBoxLayout()
# normalization options
if can_normalise:
self.norm_layout = QHBoxLayout()
self.norm_label = QLabel("Normalization =")
self.norm_layout.addWidget(self.norm_label)
self.norm_opts = QComboBox()
self.norm_opts.addItems(["None", "By bin width"])
self.norm_opts.setToolTip("Normalization options")
self.norm_layout.addWidget(self.norm_opts)
self.colorbar_layout.addLayout(self.norm_layout)
# MPL figure + colorbar
self.mpl_layout = QHBoxLayout()
self.fig = Figure()
self.ax = None
self.fig.set_facecolor(self.palette().window().color().getRgbF())
self.canvas = FigureCanvas(self.fig)
self.canvas.mpl_connect('motion_notify_event', self.mouse_move)
self.create_axes()
self.mpl_layout.addWidget(self.canvas)
self.colorbar = ColorbarWidget(self)
self.colorbar_layout.addWidget(self.colorbar)
self.colorbar.colorbarChanged.connect(self.update_data_clim)
self.colorbar.colorbarChanged.connect(self.update_line_plot_limits)
self.mpl_layout.addLayout(self.colorbar_layout)
# MPL toolbar
self.mpl_toolbar = SliceViewerNavigationToolbar(self.canvas, self)
self.mpl_toolbar.gridClicked.connect(self.toggle_grid)
self.mpl_toolbar.linePlotsClicked.connect(self.line_plots_toggle)
self.mpl_toolbar.plotOptionsChanged.connect(self.colorbar.mappable_changed)
# layout
self.layout = QGridLayout(self)
self.layout.addLayout(self.dimensions_layout, 0, 0)
self.layout.addWidget(self.mpl_toolbar, 1, 0)
self.layout.addLayout(self.mpl_layout, 2, 0)
def __init__(self, parent):
""" Initialization
"""
# Initialize parent
super(MplGraphicsViewContourPlot, self).__init__(parent)
# set up canvas
self.figure = Figure()
self.colorbar = None
# self._myCanvas = Qt4Mpl2DCanvas(self.figure)
self._myCanvas = FigureCanvas(self.figure)
self._myToolBar = NavigationToolbar2(self._myCanvas, self)
# self._myToolBar = MyNavigationToolbar(self._myCanvas, self)
# state of operation
self._isZoomed = False
# X and Y limit with home button
self._homeXYLimit = None
self.ax = self.figure.add_subplot(111)
# set up layout
self._vBox = QVBoxLayout(self)
# self._vBox.addWidget(self._myCanvas)
self._vBox.addWidget(self._myCanvas)
self._vBox.addWidget(self._myToolBar)
self._arrowList = list()
self._hasImage = False
def __init__(self, quick_edit, settings, parent=None):
super().__init__(parent)
# later we will allow these to be changed in the settings
self._settings = settings
self._min_y_range = settings.min_y_range
self._y_axis_margin = settings.y_axis_margin
self._x_tick_labels = None
self._y_tick_labels = None
# create the figure
self.fig = Figure()
self.fig.canvas = FigureCanvas(self.fig)
self.fig.canvas.setMinimumHeight(500)
self.toolBar = PlotToolbar(self.fig.canvas, self)
# Create a set of Mantid axis for the figure
self.fig, axes = get_plot_fig(overplot=False,
ax_properties=None,
axes_num=1,
fig=self.fig)
self._number_of_axes = 1
self._color_queue = [ColorQueue(DEFAULT_COLOR_CYCLE)]
# Add a splitter for the plotting canvas and quick edit toolbar
splitter = QtWidgets.QSplitter(QtCore.Qt.Vertical)
splitter.addWidget(self.fig.canvas)
self._quick_edit = quick_edit
splitter.addWidget(self._quick_edit)
splitter.setChildrenCollapsible(False)
layout = QtWidgets.QVBoxLayout()
layout.addWidget(self.toolBar)
layout.addWidget(splitter)
self.setLayout(layout)
self._plot_information_list = [] # type : List[PlotInformation}
def __init__(self, presenter, dims_info, parent=None):
super(SliceViewerView, self).__init__(parent)
self.presenter = presenter
self.setWindowTitle("SliceViewer")
self.setWindowFlags(Qt.Window)
self.setAttribute(Qt.WA_DeleteOnClose, True)
self.line_plots = False
# Dimension widget
self.dimensions = DimensionWidget(dims_info, parent=self)
self.dimensions.dimensionsChanged.connect(self.presenter.new_plot)
self.dimensions.valueChanged.connect(self.presenter.update_plot_data)
# MPL figure + colorbar
self.mpl_layout = QHBoxLayout()
self.fig = Figure()
self.fig.set_facecolor(self.palette().window().color().getRgbF())
self.fig.set_tight_layout(True)
self.canvas = FigureCanvas(self.fig)
self.canvas.mpl_connect('motion_notify_event', self.mouse_move)
self.create_axes()
self.mpl_layout.addWidget(self.canvas)
self.colorbar = ColorbarWidget(self)
self.colorbar.colorbarChanged.connect(self.update_data_clim)
self.colorbar.colorbarChanged.connect(self.update_line_plot_limits)
self.mpl_layout.addWidget(self.colorbar)
# MPL toolbar
self.mpl_toolbar = SliceViewerNavigationToolbar(self.canvas, self)
self.mpl_toolbar.gridClicked.connect(self.toggle_grid)
self.mpl_toolbar.linePlotsClicked.connect(self.line_plots_toggle)
self.mpl_toolbar.plotOptionsChanged.connect(
self.colorbar.mappable_changed)
# layout
self.layout = QVBoxLayout(self)
self.layout.addWidget(self.dimensions)
self.layout.addWidget(self.mpl_toolbar)
self.layout.addLayout(self.mpl_layout, stretch=1)
self.show()
def _setup_figure_widget(self):
fig, _, _, _ = create_subplots(1)
fig.axes[0].autoscale(enable=True, tight=False)
self.figure = fig
self.figure.canvas = FigureCanvas(self.figure)
toolbar = MantidNavigationToolbar(self.figure.canvas, self)
self.figure_layout = QVBoxLayout()
self.figure_layout.addWidget(toolbar)
self.figure_layout.addWidget(self.figure.canvas)
self.layout.addLayout(self.figure_layout)
def __init__(self, parent=None):
super(SampleTransmissionCalculatorView, self).__init__(parent)
self.setupUi(self)
fig = Figure()
self.axes = fig.add_subplot(111)
self.plot_frame = FigureCanvas(fig)
self.output_layout.replaceWidget(self.placeholder_widget,
self.plot_frame)
self.assistant_process = QtCore.QProcess(self)
self.validation_label.setStyleSheet("QLabel { color : red; }")
self.histogram_err.setStyleSheet("QLabel { color : red; }")
self.chemical_formula_err.setStyleSheet("QLabel { color : red; }")
self.density_err.setStyleSheet("QLabel { color : red; }")
self.thickness_err.setStyleSheet("QLabel { color : red; }")
def setup_figure(self):
self.figure = Figure()
self.figure.canvas = FigureCanvas(self.figure)
self.figure.canvas.mpl_connect('button_press_event', self.mouse_click)
self.figure.add_subplot(111, projection="mantid")
self.toolbar = FittingPlotToolbar(self.figure.canvas, self, False)
self.toolbar.setMovable(False)
self.dock_window = QMainWindow(self.group_plot)
self.dock_window.setWindowFlags(Qt.Widget)
self.dock_window.setDockOptions(QMainWindow.AnimatedDocks)
self.dock_window.setCentralWidget(self.toolbar)
self.plot_dock = QDockWidget()
self.plot_dock.setWidget(self.figure.canvas)
self.plot_dock.setFeatures(QDockWidget.DockWidgetFloatable
| QDockWidget.DockWidgetMovable)
self.plot_dock.setAllowedAreas(Qt.BottomDockWidgetArea)
self.plot_dock.setWindowTitle("Fit Plot")
self.plot_dock.topLevelChanged.connect(self.make_undocked_plot_larger)
self.initial_chart_width, self.initial_chart_height = self.plot_dock.width(
), self.plot_dock.height()
self.plot_dock.setSizePolicy(
QSizePolicy(QSizePolicy.MinimumExpanding,
QSizePolicy.MinimumExpanding))
self.dock_window.addDockWidget(Qt.BottomDockWidgetArea, self.plot_dock)
self.vLayout_plot.addWidget(self.dock_window)
self.fit_browser = EngDiffFitPropertyBrowser(
self.figure.canvas, ToolbarStateManager(self.toolbar))
# remove SequentialFit from fit menu (implemented a different way)
qmenu = self.fit_browser.getFitMenu()
qmenu.removeAction([
qact for qact in qmenu.actions() if qact.text() == "Sequential Fit"
][0])
# hide unnecessary properties of browser
hide_props = [
'Minimizer', 'Cost function', 'Max Iterations', 'Output',
'Ignore invalid data', 'Peak Radius', 'Plot Composite Members',
'Convolve Composite Members', 'Show Parameter Errors',
'Evaluate Function As'
]
self.fit_browser.removePropertiesFromSettingsBrowser(hide_props)
self.fit_browser.toggleWsListVisible()
self.fit_browser.closing.connect(self.toolbar.handle_fit_browser_close)
self.vLayout_fitprop.addWidget(self.fit_browser)
self.fit_browser.hide()
def __init__(self, context):
super(subplot, self).__init__()
self._context = context
self.figure = Figure()
self.figure.set_facecolor("none")
self.canvas = FigureCanvas(self.figure)
self._rm_window = None
self._selector_window = None
# update quick edit from tool bar
self.canvas.mpl_connect("draw_event", self.draw_event_callback)
self._ADSObserver = SubplotADSObserver(self)
grid = QtWidgets.QGridLayout()
# add toolbar
self.toolbar = myToolbar(self.canvas, self)
self.toolbar.update()
grid.addWidget(self.toolbar, 0, 0)
self.toolbar.setRmConnection(self._rm)
self.toolbar.setRmSubplotConnection(self._rm_subplot)
# add plot
self.plot_objects = {}
grid.addWidget(self.canvas, 1, 0)
self.setLayout(grid)
class ColorbarWidget(QWidget):
colorbarChanged = Signal() # The parent should simply redraw their canvas
def __init__(self, parent=None):
super(ColorbarWidget, self).__init__(parent)
self.setWindowTitle("Colorbar")
self.setMaximumWidth(200)
self.cmap = QComboBox()
self.cmap.addItems(sorted(cm.cmap_d.keys()))
self.cmap.currentIndexChanged.connect(self.cmap_index_changed)
self.cmin = QLineEdit()
self.cmin_value = 0
self.cmin.setMaximumWidth(100)
self.cmin.editingFinished.connect(self.clim_changed)
self.cmin_layout = QHBoxLayout()
self.cmin_layout.addStretch()
self.cmin_layout.addWidget(self.cmin)
self.cmin_layout.addStretch()
self.cmax = QLineEdit()
self.cmax_value = 1
self.cmax.setMaximumWidth(100)
self.cmax.editingFinished.connect(self.clim_changed)
self.cmin.setValidator(QDoubleValidator())
self.cmax.setValidator(QDoubleValidator())
self.cmax_layout = QHBoxLayout()
self.cmax_layout.addStretch()
self.cmax_layout.addWidget(self.cmax)
self.cmax_layout.addStretch()
self.norm_layout = QHBoxLayout()
self.norm = QComboBox()
self.norm.addItems(NORM_OPTS)
self.norm.currentIndexChanged.connect(self.norm_changed)
self.powerscale = QLineEdit()
self.powerscale_value = 2
self.powerscale.setText("2")
self.powerscale.setValidator(QDoubleValidator(0.001,100,3))
self.powerscale.setMaximumWidth(50)
self.powerscale.editingFinished.connect(self.norm_changed)
self.powerscale.hide()
self.powerscale_label = QLabel("n=")
self.powerscale_label.hide()
self.norm_layout.addStretch()
self.norm_layout.addWidget(self.norm)
self.norm_layout.addStretch()
self.norm_layout.addWidget(self.powerscale_label)
self.norm_layout.addWidget(self.powerscale)
self.autoscale = QCheckBox("Autoscaling")
self.autoscale.setChecked(True)
self.autoscale.stateChanged.connect(self.update_clim)
self.canvas = FigureCanvas(Figure())
if parent:
# Set facecolor to match parent
self.canvas.figure.set_facecolor(parent.palette().window().color().getRgbF())
self.ax = self.canvas.figure.add_axes([0.4,0.05,0.2,0.9])
# layout
self.layout = QVBoxLayout(self)
self.layout.addWidget(self.cmap)
self.layout.addLayout(self.cmax_layout)
self.layout.addWidget(self.canvas, stretch=1)
self.layout.addLayout(self.cmin_layout)
self.layout.addLayout(self.norm_layout)
self.layout.addWidget(self.autoscale)
def set_mappable(self, mappable):
"""
When a new plot is created this method should be called with the new mappable
"""
self.ax.clear()
try: # Use current cmap
cmap = self.colorbar.get_cmap()
except AttributeError:
try: # else use viridis
cmap = cm.viridis
except AttributeError: # else default
cmap = None
self.colorbar = Colorbar(ax=self.ax, mappable=mappable)
self.cmin_value, self.cmax_value = self.colorbar.get_clim()
self.update_clim_text()
self.cmap_changed(cmap)
self.cmap.setCurrentIndex(sorted(cm.cmap_d.keys()).index(self.colorbar.get_cmap().name))
self.redraw()
def cmap_index_changed(self):
self.cmap_changed(self.cmap.currentText())
def cmap_changed(self, name):
self.colorbar.set_cmap(name)
self.colorbar.mappable.set_cmap(name)
self.redraw()
def norm_changed(self):
"""
Called when a different normalization is selected
"""
idx = self.norm.currentIndex()
if NORM_OPTS[idx] == 'Power':
self.powerscale.show()
self.powerscale_label.show()
else:
self.powerscale.hide()
self.powerscale_label.hide()
self.colorbar.mappable.set_norm(self.get_norm())
self.set_mappable(self.colorbar.mappable)
def get_norm(self):
"""
This will create a matplotlib.colors.Normalize from selected idx, limits and powerscale
"""
idx = self.norm.currentIndex()
if self.autoscale.isChecked():
cmin = cmax = None
else:
cmin = self.cmin_value
cmax = self.cmax_value
if NORM_OPTS[idx] == 'Power':
if self.powerscale.hasAcceptableInput():
self.powerscale_value = float(self.powerscale.text())
return PowerNorm(gamma=self.powerscale_value, vmin=cmin, vmax=cmax)
elif NORM_OPTS[idx] == "SymmetricLog10":
return SymLogNorm(1e-8 if cmin is None else max(1e-8, abs(cmin)*1e-3),
vmin=cmin, vmax=cmax)
else:
return Normalize(vmin=cmin, vmax=cmax)
def clim_changed(self):
"""
Called when either the min or max is changed. Will unset the autoscale.
"""
self.autoscale.blockSignals(True)
self.autoscale.setChecked(False)
self.autoscale.blockSignals(False)
self.update_clim()
def update_clim(self):
"""
This will update the clim of the plot based on min, max, and autoscale
"""
if self.autoscale.isChecked():
data = self.colorbar.mappable.get_array()
try:
try:
self.cmin_value = data[~data.mask].min()
self.cmax_value = data[~data.mask].max()
except AttributeError:
self.cmin_value = np.nanmin(data)
self.cmax_value = np.nanmax(data)
except (ValueError, RuntimeWarning):
# all values mask
pass
self.update_clim_text()
else:
if self.cmin.hasAcceptableInput():
cmin = float(self.cmin.text())
if cmin < self.cmax_value:
self.cmin_value = cmin
else: # reset values back
self.update_clim_text()
if self.cmax.hasAcceptableInput():
cmax = float(self.cmax.text())
if cmax > self.cmin_value:
self.cmax_value = cmax
else: #reset values back
self.update_clim_text()
self.colorbar.set_clim(self.cmin_value, self.cmax_value)
self.redraw()
def update_clim_text(self):
"""
Update displayed limit values based on stored ones
"""
self.cmin.setText("{:.4}".format(self.cmin_value))
self.cmax.setText("{:.4}".format(self.cmax_value))
def redraw(self):
"""
Redraws the colobar and emits signal to cause the parent to redraw
"""
self.colorbar.update_ticks()
self.colorbar.draw_all()
self.canvas.draw_idle()
self.colorbarChanged.emit()
def __init__(self, parent=None):
super(ColorbarWidget, self).__init__(parent)
self.setWindowTitle("Colorbar")
self.setMaximumWidth(200)
self.dval = QDoubleValidator()
self.cmin = QLineEdit()
self.cmin_value = 0
self.cmin.setMaximumWidth(100)
self.cmin.editingFinished.connect(self.clim_changed)
self.cmin_layout = QHBoxLayout()
self.cmin_layout.addStretch()
self.cmin_layout.addWidget(self.cmin)
self.cmin_layout.addStretch()
self.cmax = QLineEdit()
self.cmax_value = 1
self.cmax.setMaximumWidth(100)
self.cmax.editingFinished.connect(self.clim_changed)
self.cmin.setValidator(self.dval)
self.cmax.setValidator(self.dval)
self.cmax_layout = QHBoxLayout()
self.cmax_layout.addStretch()
self.cmax_layout.addWidget(self.cmax)
self.cmax_layout.addStretch()
self.norm_layout = QHBoxLayout()
self.norm = QComboBox()
self.norm.addItems(NORM_OPTS)
self.norm.currentIndexChanged.connect(self.norm_changed)
self.powerscale = QLineEdit()
self.powerscale_value = 2
self.powerscale.setText("2")
self.powerscale.setValidator(QDoubleValidator(0.001,100,3))
self.powerscale.setMaximumWidth(50)
self.powerscale.editingFinished.connect(self.norm_changed)
self.powerscale.hide()
self.powerscale_label = QLabel("n=")
self.powerscale_label.hide()
self.norm_layout.addStretch()
self.norm_layout.addWidget(self.norm)
self.norm_layout.addStretch()
self.norm_layout.addWidget(self.powerscale_label)
self.norm_layout.addWidget(self.powerscale)
self.autoscale = QCheckBox("Autoscaling")
self.autoscale.setChecked(True)
self.autoscale.stateChanged.connect(self.update_clim)
self.canvas = FigureCanvas(Figure())
if parent:
# Set facecolor to match parent
self.canvas.figure.set_facecolor(parent.palette().window().color().getRgbF())
self.ax = self.canvas.figure.add_axes([0.4,0.05,0.2,0.9])
# layout
self.layout = QVBoxLayout(self)
self.layout.addLayout(self.cmax_layout)
self.layout.addWidget(self.canvas, stretch=1)
self.layout.addLayout(self.cmin_layout)
self.layout.addLayout(self.norm_layout)
self.layout.addWidget(self.autoscale)
class ColorbarWidget(QWidget):
colorbarChanged = Signal() # The parent should simply redraw their canvas
def __init__(self, parent=None):
super(ColorbarWidget, self).__init__(parent)
self.setWindowTitle("Colorbar")
self.setMaximumWidth(200)
self.dval = QDoubleValidator()
self.cmin = QLineEdit()
self.cmin_value = 0
self.cmin.setMaximumWidth(100)
self.cmin.editingFinished.connect(self.clim_changed)
self.cmin_layout = QHBoxLayout()
self.cmin_layout.addStretch()
self.cmin_layout.addWidget(self.cmin)
self.cmin_layout.addStretch()
self.cmax = QLineEdit()
self.cmax_value = 1
self.cmax.setMaximumWidth(100)
self.cmax.editingFinished.connect(self.clim_changed)
self.cmin.setValidator(self.dval)
self.cmax.setValidator(self.dval)
self.cmax_layout = QHBoxLayout()
self.cmax_layout.addStretch()
self.cmax_layout.addWidget(self.cmax)
self.cmax_layout.addStretch()
self.norm_layout = QHBoxLayout()
self.norm = QComboBox()
self.norm.addItems(NORM_OPTS)
self.norm.currentIndexChanged.connect(self.norm_changed)
self.powerscale = QLineEdit()
self.powerscale_value = 2
self.powerscale.setText("2")
self.powerscale.setValidator(QDoubleValidator(0.001,100,3))
self.powerscale.setMaximumWidth(50)
self.powerscale.editingFinished.connect(self.norm_changed)
self.powerscale.hide()
self.powerscale_label = QLabel("n=")
self.powerscale_label.hide()
self.norm_layout.addStretch()
self.norm_layout.addWidget(self.norm)
self.norm_layout.addStretch()
self.norm_layout.addWidget(self.powerscale_label)
self.norm_layout.addWidget(self.powerscale)
self.autoscale = QCheckBox("Autoscaling")
self.autoscale.setChecked(True)
self.autoscale.stateChanged.connect(self.update_clim)
self.canvas = FigureCanvas(Figure())
if parent:
# Set facecolor to match parent
self.canvas.figure.set_facecolor(parent.palette().window().color().getRgbF())
self.ax = self.canvas.figure.add_axes([0.4,0.05,0.2,0.9])
# layout
self.layout = QVBoxLayout(self)
self.layout.addLayout(self.cmax_layout)
self.layout.addWidget(self.canvas, stretch=1)
self.layout.addLayout(self.cmin_layout)
self.layout.addLayout(self.norm_layout)
self.layout.addWidget(self.autoscale)
def set_mappable(self, mappable):
"""
When a new plot is created this method should be called with the new mappable
"""
self.ax.clear()
self.colorbar = Colorbar(ax=self.ax, mappable=mappable)
self.cmin_value, self.cmax_value = self.colorbar.get_clim()
self.update_clim_text()
self.redraw()
def norm_changed(self):
"""
Called when a different normalization is selected
"""
idx = self.norm.currentIndex()
if NORM_OPTS[idx] == 'Power':
self.powerscale.show()
self.powerscale_label.show()
else:
self.powerscale.hide()
self.powerscale_label.hide()
self.colorbar.mappable.set_norm(self.get_norm())
self.colorbarChanged.emit()
def get_norm(self):
"""
This will create a matplotlib.colors.Normalize from selected idx, limits and powerscale
"""
idx = self.norm.currentIndex()
if self.autoscale.isChecked():
cmin = cmax = None
else:
cmin = self.cmin_value
cmax = self.cmax_value
if NORM_OPTS[idx] == 'Power':
if self.powerscale.hasAcceptableInput():
self.powerscale_value = float(self.powerscale.text())
return PowerNorm(gamma=self.powerscale_value, vmin=cmin, vmax=cmax)
elif NORM_OPTS[idx] == "SymmetricLog10":
return SymLogNorm(1e-8 if cmin is None else max(1e-8, abs(cmin)*1e-3),
vmin=cmin, vmax=cmax)
else:
return Normalize(vmin=cmin, vmax=cmax)
def clim_changed(self):
"""
Called when either the min or max is changed. Will unset the autoscale.
"""
self.autoscale.blockSignals(True)
self.autoscale.setChecked(False)
self.autoscale.blockSignals(False)
self.update_clim()
def update_clim(self):
"""
This will update the clim of the plot based on min, max, and autoscale
"""
if self.autoscale.isChecked():
data = self.colorbar.mappable.get_array()
try:
try:
self.cmin_value = data[~data.mask].min()
self.cmax_value = data[~data.mask].max()
except AttributeError:
self.cmin_value = np.nanmin(data)
self.cmax_value = np.nanmax(data)
except (ValueError, RuntimeWarning):
# all values mask
pass
self.update_clim_text()
else:
if self.cmin.hasAcceptableInput():
self.cmin_value = float(self.cmin.text())
if self.cmax.hasAcceptableInput():
self.cmax_value = float(self.cmax.text())
self.colorbar.set_clim(self.cmin_value, self.cmax_value)
self.redraw()
def update_clim_text(self):
"""
Update displayed limit values based on stored ones
"""
self.cmin.setText("{:.4}".format(self.cmin_value))
self.cmax.setText("{:.4}".format(self.cmax_value))
def redraw(self):
"""
Redraws the colobar and emits signal to cause the parent to redraw
"""
self.colorbar.update_ticks()
self.colorbar.draw_all()
self.canvas.draw_idle()
self.colorbarChanged.emit()
def __init__(self, parent=None):
""" Initialization and set up
"""
# Base class
QMainWindow.__init__(self, parent)
# Mantid configuration
config = ConfigService.Instance()
self._instrument = config["default.instrument"]
# Central widget
self.centralwidget = QWidget(self)
# UI Window (from Qt Designer)
self.ui = load_ui(__file__, 'MainWindow.ui', baseinstance=self)
mpl_layout = QVBoxLayout()
self.ui.graphicsView.setLayout(mpl_layout)
self.fig = Figure()
self.canvas = FigureCanvas(self.fig)
self.ui.mainplot = self.fig.add_subplot(111, projection='mantid')
mpl_layout.addWidget(self.canvas)
# Do initialize plotting
vecx, vecy, xlim, ylim = self.computeMock()
self.mainline = self.ui.mainplot.plot(vecx, vecy, 'r-')
leftx = [xlim[0], xlim[0]]
lefty = [ylim[0], ylim[1]]
self.leftslideline = self.ui.mainplot.plot(leftx, lefty, 'b--')
rightx = [xlim[1], xlim[1]]
righty = [ylim[0], ylim[1]]
self.rightslideline = self.ui.mainplot.plot(rightx, righty, 'g--')
upperx = [xlim[0], xlim[1]]
uppery = [ylim[1], ylim[1]]
self.upperslideline = self.ui.mainplot.plot(upperx, uppery, 'b--')
lowerx = [xlim[0], xlim[1]]
lowery = [ylim[0], ylim[0]]
self.lowerslideline = self.ui.mainplot.plot(lowerx, lowery, 'g--')
self.canvas.mpl_connect('button_press_event', self.on_mouseDownEvent)
# Set up horizontal slide (integer) and string value
self._leftSlideValue = 0
self._rightSlideValue = 99
self.ui.horizontalSlider.setRange(0, 100)
self.ui.horizontalSlider.setValue(self._leftSlideValue)
self.ui.horizontalSlider.setTracking(True)
self.ui.horizontalSlider.setTickPosition(QSlider.NoTicks)
self.ui.horizontalSlider.valueChanged.connect(self.move_leftSlider)
self.ui.horizontalSlider_2.setRange(0, 100)
self.ui.horizontalSlider_2.setValue(self._rightSlideValue)
self.ui.horizontalSlider_2.setTracking(True)
self.ui.horizontalSlider_2.setTickPosition(QSlider.NoTicks)
self.ui.horizontalSlider_2.valueChanged.connect(self.move_rightSlider)
# self.connect(self.ui.lineEdit_3, QtCore.SIGNAL("textChanged(QString)"),
# self.set_startTime)
self.ui.lineEdit_3.setValidator(QDoubleValidator(self.ui.lineEdit_3))
self.ui.pushButton_setT0.clicked.connect(self.set_startTime)
# self.connect(self.ui.lineEdit_4, QtCore.SIGNAL("textChanged(QString)"),
# self.set_stopTime)
self.ui.lineEdit_4.setValidator(QDoubleValidator(self.ui.lineEdit_4))
self.ui.pushButton_setTf.clicked.connect(self.set_stopTime)
# File loader
self.scanEventWorkspaces()
self.ui.pushButton_refreshWS.clicked.connect(self.scanEventWorkspaces)
self.ui.pushButton_browse.clicked.connect(self.browse_File)
self.ui.pushButton_load.clicked.connect(self.load_File)
self.ui.pushButton_3.clicked.connect(self.use_existWS)
# Set up time
self.ui.lineEdit_3.setValidator(QDoubleValidator(self.ui.lineEdit_3))
self.ui.lineEdit_4.setValidator(QDoubleValidator(self.ui.lineEdit_4))
# Filter by time
self.ui.pushButton_filterTime.clicked.connect(self.filterByTime)
# Filter by log value
self.ui.lineEdit_5.setValidator(QDoubleValidator(self.ui.lineEdit_5))
self.ui.lineEdit_6.setValidator(QDoubleValidator(self.ui.lineEdit_6))
self.ui.lineEdit_7.setValidator(QDoubleValidator(self.ui.lineEdit_7))
self.ui.lineEdit_8.setValidator(QDoubleValidator(self.ui.lineEdit_8))
self.ui.lineEdit_9.setValidator(QDoubleValidator(self.ui.lineEdit_9))
self.ui.lineEdit_5.textChanged.connect(self.set_minLogValue)
self.ui.lineEdit_6.textChanged.connect(self.set_maxLogValue)
dirchangeops = ["Both", "Increase", "Decrease"]
self.ui.comboBox_4.addItems(dirchangeops)
logboundops = ["Centre", "Left"]
self.ui.comboBox_5.addItems(logboundops)
self.ui.pushButton_4.clicked.connect(self.plotLogValue)
self.ui.pushButton_filterLog.clicked.connect(self.filterByLogValue)
# Set up help button
self.ui.helpBtn.clicked.connect(self.helpClicked)
# Set up vertical slide
self._upperSlideValue = 99
self._lowerSlideValue = 0
self.ui.verticalSlider.setRange(0, 100)
self.ui.verticalSlider.setValue(self._upperSlideValue)
self.ui.verticalSlider.setTracking(True)
self.ui.verticalSlider.valueChanged.connect(self.move_upperSlider)
self.ui.verticalSlider_2.setRange(0, 100)
self.ui.verticalSlider_2.setValue(self._lowerSlideValue)
self.ui.verticalSlider_2.setTracking(True)
self.ui.verticalSlider_2.valueChanged.connect(self.move_lowerSlider)
# Set up for filtering (advanced setup)
self._tofcorrection = False
self.ui.checkBox_fastLog.setChecked(False)
self.ui.checkBox_filterByPulse.setChecked(False)
self.ui.checkBox_from1.setChecked(False)
self.ui.checkBox_groupWS.setChecked(True)
self.ui.comboBox_tofCorr.currentIndexChanged.connect(self.showHideEi)
self.ui.pushButton_refreshCorrWSList.clicked.connect(
self._searchTableWorkspaces)
self.ui.lineEdit_Ei.setValidator(QDoubleValidator(self.ui.lineEdit_Ei))
self.ui.label_Ei.hide()
self.ui.lineEdit_Ei.hide()
self.ui.label_Ei_2.hide()
self.ui.comboBox_corrWS.hide()
self.ui.pushButton_refreshCorrWSList.hide()
# Set up for workspaces
self._dataWS = None
self._sampleLogNames = []
self._sampleLog = None
# Side information
self.ui.label_mean.hide()
self.ui.label_meanvalue.hide()
self.ui.label_avg.hide()
self.ui.label_timeAvgValue.hide()
self.ui.label_freq.hide()
self.ui.label_freqValue.hide()
self.ui.label_logname.hide()
self.ui.label_lognamevalue.hide()
self.ui.label_logsize.hide()
self.ui.label_logsizevalue.hide()
# Default
self._defaultdir = os.getcwd()
# register startup
mantid.UsageService.registerFeatureUsage("Interface", "EventFilter",
False)
class SliceViewerDataView(QWidget):
"""The view for the data portion of the sliceviewer"""
def __init__(self, presenter, dims_info, can_normalise, parent=None):
super().__init__(parent)
self.presenter = presenter
self.image = None
self.line_plots = False
self.can_normalise = can_normalise
self.nonortho_tr = None
# Dimension widget
self.dimensions_layout = QHBoxLayout()
self.dimensions = DimensionWidget(dims_info, parent=self)
self.dimensions.dimensionsChanged.connect(
self.presenter.dimensions_changed)
self.dimensions.valueChanged.connect(self.presenter.slicepoint_changed)
self.dimensions_layout.addWidget(self.dimensions)
self.colorbar_layout = QVBoxLayout()
# normalization options
if can_normalise:
self.norm_layout = QHBoxLayout()
self.norm_label = QLabel("Normalization =")
self.norm_layout.addWidget(self.norm_label)
self.norm_opts = QComboBox()
self.norm_opts.addItems(["None", "By bin width"])
self.norm_opts.setToolTip("Normalization options")
self.norm_layout.addWidget(self.norm_opts)
self.colorbar_layout.addLayout(self.norm_layout)
# MPL figure + colorbar
self.mpl_layout = QHBoxLayout()
self.fig = Figure()
self.ax = None
self._grid_on = False
self.fig.set_facecolor(self.palette().window().color().getRgbF())
self.canvas = FigureCanvas(self.fig)
self.canvas.mpl_connect('motion_notify_event', self.mouse_move)
self.create_axes_orthogonal()
self.mpl_layout.addWidget(self.canvas)
self.colorbar = ColorbarWidget(self)
self.colorbar_layout.addWidget(self.colorbar)
self.colorbar.colorbarChanged.connect(self.update_data_clim)
self.colorbar.colorbarChanged.connect(self.update_line_plot_limits)
self.mpl_layout.addLayout(self.colorbar_layout)
# MPL toolbar
self.mpl_toolbar = SliceViewerNavigationToolbar(self.canvas, self)
self.mpl_toolbar.gridClicked.connect(self.toggle_grid)
self.mpl_toolbar.linePlotsClicked.connect(self.line_plots_toggle)
self.mpl_toolbar.plotOptionsChanged.connect(
self.colorbar.mappable_changed)
self.mpl_toolbar.nonOrthogonalClicked.connect(
self.non_orthogonal_axes_toggle)
# layout
self.layout = QGridLayout(self)
self.layout.addLayout(self.dimensions_layout, 0, 0)
self.layout.addWidget(self.mpl_toolbar, 1, 0)
self.layout.addLayout(self.mpl_layout, 2, 0)
@property
def grid_on(self):
return self._grid_on
@property
def nonorthogonal_mode(self):
return self.nonortho_tr is not None
def create_axes_orthogonal(self):
self.clear_figure()
self.nonortho_tr = None
self.ax = self.fig.add_subplot(111, projection='mantid')
if self.grid_on:
self.ax.grid()
if self.line_plots:
self.add_line_plots()
self.plot_MDH = self.plot_MDH_orthogonal
self.canvas.draw_idle()
def create_axes_nonorthogonal(self, transform):
self.clear_figure()
self.set_nonorthogonal_transform(transform)
self.ax = CurveLinearSubPlot(self.fig,
1,
1,
1,
grid_helper=GridHelperCurveLinear(
(self.nonortho_tr, transform.inv_tr)))
self.set_grid_on()
self.fig.add_subplot(self.ax)
self.plot_MDH = self.plot_MDH_nonorthogonal
self.canvas.draw_idle()
def add_line_plots(self):
"""Assuming line plots are currently disabled, enable them on the current figure
The image axes must have been created first.
"""
if self.line_plots:
return
image_axes = self.ax
if image_axes is None:
return
# Create a new GridSpec and reposition the existing image Axes
gs = gridspec.GridSpec(2,
2,
width_ratios=[1, 4],
height_ratios=[4, 1],
wspace=0.0,
hspace=0.0)
image_axes.set_position(gs[1].get_position(self.fig))
image_axes.xaxis.set_visible(False)
image_axes.yaxis.set_visible(False)
self.axx = self.fig.add_subplot(gs[3], sharex=image_axes)
self.axx.yaxis.tick_right()
self.axy = self.fig.add_subplot(gs[0], sharey=image_axes)
self.axy.xaxis.tick_top()
self.mpl_toolbar.update() # sync list of axes in navstack
self.canvas.draw_idle()
def remove_line_plots(self):
"""Assuming line plots are currently enabled, remove them from the current figure
"""
if not self.line_plots:
return
image_axes = self.ax
if image_axes is None:
return
self.clear_line_plots()
all_axes = self.fig.axes
# The order is defined by the order of the add_subplot calls so we always want to remove
# the last two Axes. Do it backwards to cope with the container size change
all_axes[2].remove()
all_axes[1].remove()
gs = gridspec.GridSpec(1, 1)
image_axes.set_position(gs[0].get_position(self.fig))
image_axes.xaxis.set_visible(True)
image_axes.yaxis.set_visible(True)
self.axx, self.axy = None, None
self.mpl_toolbar.update() # sync list of axes in navstack
self.canvas.draw_idle()
def plot_MDH_orthogonal(self, ws, **kwargs):
"""
clears the plot and creates a new one using a MDHistoWorkspace
"""
self.clear_image()
self.image = self.ax.imshow(ws,
origin='lower',
aspect='auto',
transpose=self.dimensions.transpose,
norm=self.colorbar.get_norm(),
**kwargs)
self.draw_plot()
def plot_MDH_nonorthogonal(self, ws, **kwargs):
self.clear_image()
self.image = pcolormesh_nonorthogonal(
self.ax,
ws,
self.nonortho_tr,
transpose=self.dimensions.transpose,
norm=self.colorbar.get_norm(),
**kwargs)
# pcolormesh clears any grid that was previously visible
if self.grid_on:
self.ax.grid()
self.draw_plot()
def plot_matrix(self, ws, **kwargs):
"""
clears the plot and creates a new one using a MatrixWorkspace
"""
self.clear_image()
self.image = imshow_sampling(self.ax,
ws,
origin='lower',
aspect='auto',
interpolation='none',
transpose=self.dimensions.transpose,
norm=self.colorbar.get_norm(),
**kwargs)
self.image._resample_image()
self.draw_plot()
def clear_image(self):
"""Removes any image from the axes"""
if self.image is not None:
self.image.remove()
self.image = None
def clear_figure(self):
"""Removes everything from the figure"""
self.image = None
self._grid_on = False
self.fig.clf()
def draw_plot(self):
self.ax.set_title('')
self.colorbar.set_mappable(self.image)
self.colorbar.update_clim()
self.mpl_toolbar.update() # clear nav stack
self.clear_line_plots()
self.canvas.draw_idle()
def update_plot_data(self, data):
"""
This just updates the plot data without creating a new plot
"""
if self.nonortho_tr:
self.image.set_array(data.T.ravel())
else:
self.image.set_data(data.T)
self.colorbar.update_clim()
def line_plots_toggle(self, state):
self.presenter.line_plots(state)
self.line_plots = state
def non_orthogonal_axes_toggle(self, state):
"""
Switch state of the non-orthognal axes on/off
"""
self.presenter.nonorthogonal_axes(state)
def enable_lineplots_button(self):
"""
Enables line plots functionality
"""
self.mpl_toolbar.set_action_enabled(ToolItemText.LINEPLOTS, True)
def disable_lineplots_button(self):
"""
Disabled line plots functionality
"""
self.mpl_toolbar.set_action_enabled(ToolItemText.LINEPLOTS, False)
def enable_peaks_button(self):
"""
Enables line plots functionality
"""
self.mpl_toolbar.set_action_enabled(ToolItemText.OVERLAYPEAKS, True)
def disable_peaks_button(self):
"""
Disables line plots functionality
"""
self.mpl_toolbar.set_action_enabled(ToolItemText.OVERLAYPEAKS, False)
def disable_nonorthogonal_axes_button(self):
"""
Disables non-orthorognal axes functionality
"""
self.mpl_toolbar.set_action_enabled(ToolItemText.NONORTHOGONAL_AXES,
False)
def clear_line_plots(self):
try: # clear old plots
del self.xfig
del self.yfig
except AttributeError:
pass
def update_data_clim(self):
self.image.set_clim(self.colorbar.colorbar.mappable.get_clim())
self.canvas.draw_idle()
def update_line_plot_limits(self):
if self.line_plots:
self.axx.set_ylim(self.colorbar.cmin_value,
self.colorbar.cmax_value)
self.axy.set_xlim(self.colorbar.cmin_value,
self.colorbar.cmax_value)
def set_grid_on(self):
"""
If not visible sets the grid visibility
"""
if not self._grid_on:
self.toggle_grid()
def set_nonorthogonal_transform(self, transform):
"""
Set the transform for nonorthogonal axes mode
:param transform: An object with a tr method to transform from nonorthognal
coordinates to display coordinates
"""
self.nonortho_tr = transform.tr
def toggle_grid(self):
"""
Toggle the visibility of the grid on the axes
"""
self.ax.grid()
self._grid_on = not self._grid_on
self.canvas.draw_idle()
def mouse_move(self, event):
if self.line_plots and event.inaxes == self.ax:
self.update_line_plots(event.xdata, event.ydata)
def plot_x_line(self, x, y):
try:
self.xfig[0].set_data(x, y)
except (AttributeError, IndexError):
self.axx.clear()
self.xfig = self.axx.plot(x, y)
self.axx.set_xlabel(self.ax.get_xlabel())
self.update_line_plot_limits()
self.canvas.draw_idle()
def plot_y_line(self, x, y):
try:
self.yfig[0].set_data(y, x)
except (AttributeError, IndexError):
self.axy.clear()
self.yfig = self.axy.plot(y, x)
self.axy.set_ylabel(self.ax.get_ylabel())
self.update_line_plot_limits()
self.canvas.draw_idle()
def update_line_plots(self, x, y):
xmin, xmax, ymin, ymax = self.image.get_extent()
arr = self.image.get_array()
data_extent = Bbox([[ymin, xmin], [ymax, xmax]])
array_extent = Bbox([[0, 0], arr.shape[:2]])
trans = BboxTransform(boxin=data_extent, boxout=array_extent)
point = trans.transform_point([y, x])
if any(np.isnan(point)):
return
i, j = point.astype(int)
if 0 <= i < arr.shape[0]:
self.plot_x_line(np.linspace(xmin, xmax, arr.shape[1]), arr[i, :])
if 0 <= j < arr.shape[1]:
self.plot_y_line(np.linspace(ymin, ymax, arr.shape[0]), arr[:, j])
def set_normalization(self, ws, **kwargs):
normalize_by_bin_width, _ = get_normalize_by_bin_width(
ws, self.ax, **kwargs)
is_normalized = normalize_by_bin_width or ws.isDistribution()
if is_normalized:
self.presenter.normalization = mantid.api.MDNormalization.VolumeNormalization
self.norm_opts.setCurrentIndex(1)
else:
self.presenter.normalization = mantid.api.MDNormalization.NoNormalization
self.norm_opts.setCurrentIndex(0)
def __init__(self, parent=None, window_flags=None):
""" Initialization and set up
"""
# Base class
QMainWindow.__init__(self, parent)
if window_flags:
self.setWindowFlags(window_flags)
# Mantid configuration
config = ConfigService.Instance()
self._instrument = config["default.instrument"]
# Central widget
self.centralwidget = QWidget(self)
# UI Window (from Qt Designer)
self.ui = load_ui(__file__, 'MainWindow.ui', baseinstance=self)
mpl_layout = QVBoxLayout()
self.ui.graphicsView.setLayout(mpl_layout)
self.fig = Figure()
self.canvas = FigureCanvas(self.fig)
self.ui.mainplot = self.fig.add_subplot(111, projection='mantid')
mpl_layout.addWidget(self.canvas)
# Do initialize plotting
vecx, vecy, xlim, ylim = self.computeMock()
self.mainline = self.ui.mainplot.plot(vecx, vecy, 'r-')
leftx = [xlim[0], xlim[0]]
lefty = [ylim[0], ylim[1]]
self.leftslideline = self.ui.mainplot.plot(leftx, lefty, 'b--')
rightx = [xlim[1], xlim[1]]
righty = [ylim[0], ylim[1]]
self.rightslideline = self.ui.mainplot.plot(rightx, righty, 'g--')
upperx = [xlim[0], xlim[1]]
uppery = [ylim[1], ylim[1]]
self.upperslideline = self.ui.mainplot.plot(upperx, uppery, 'b--')
lowerx = [xlim[0], xlim[1]]
lowery = [ylim[0], ylim[0]]
self.lowerslideline = self.ui.mainplot.plot(lowerx, lowery, 'g--')
self.canvas.mpl_connect('button_press_event', self.on_mouseDownEvent)
# Set up horizontal slide (integer) and string value
self._leftSlideValue = 0
self._rightSlideValue = 99
self.ui.horizontalSlider.setRange(0, 100)
self.ui.horizontalSlider.setValue(self._leftSlideValue)
self.ui.horizontalSlider.setTracking(True)
self.ui.horizontalSlider.setTickPosition(QSlider.NoTicks)
self.ui.horizontalSlider.valueChanged.connect(self.move_leftSlider)
self.ui.horizontalSlider_2.setRange(0, 100)
self.ui.horizontalSlider_2.setValue(self._rightSlideValue)
self.ui.horizontalSlider_2.setTracking(True)
self.ui.horizontalSlider_2.setTickPosition(QSlider.NoTicks)
self.ui.horizontalSlider_2.valueChanged.connect(self.move_rightSlider)
self.ui.lineEdit_3.editingFinished.connect(self.set_startTime)
self.ui.pushButton_setT0.clicked.connect(self.set_startTime)
self.ui.lineEdit_4.editingFinished.connect(self.set_stopTime)
self.ui.pushButton_setTf.clicked.connect(self.set_stopTime)
# File loader
self.scanEventWorkspaces()
self.ui.pushButton_refreshWS.clicked.connect(self.scanEventWorkspaces)
self.ui.pushButton_browse.clicked.connect(self.browse_File)
self.ui.pushButton_load.clicked.connect(self.load_File)
self.ui.pushButton_3.clicked.connect(self.use_existWS)
# validates any number, but does not accept comma, contrary to QDoubleValidator
# this way, it is possible to cast to float without checking for stray commas.
regexp = QRegExp("[-+]?((\d+\.?\d*)|(\.\d+))(e[-+]?\d+)?") # noqa
# noqa because flake is not happy about regex escape sequences
regexp_val = QRegExpValidator(regexp, self)
# Set up time
self.ui.lineEdit_3.setValidator(regexp_val)
self.ui.lineEdit_4.setValidator(regexp_val)
# Filter by time
self.ui.pushButton_filterTime.clicked.connect(self.filterByTime)
self.ui.lineEdit_timeInterval.returnPressed.connect(self.filterByTime)
# Filter by log value
self.ui.lineEdit_5.setValidator(regexp_val)
self.ui.lineEdit_6.setValidator(regexp_val)
self.ui.lineEdit_7.setValidator(regexp_val)
self.ui.lineEdit_8.setValidator(regexp_val)
self.ui.lineEdit_9.setValidator(regexp_val)
self.ui.lineEdit_5.textChanged.connect(self.set_minLogValue)
self.ui.lineEdit_6.textChanged.connect(self.set_maxLogValue)
dirchangeops = ["Both", "Increase", "Decrease"]
self.ui.comboBox_4.addItems(dirchangeops)
logboundops = ["Centre", "Left"]
self.ui.comboBox_5.addItems(logboundops)
self.ui.pushButton_4.clicked.connect(self.plotLogValue)
self.ui.pushButton_filterLog.clicked.connect(self.filterByLogValue)
# Set up help button
self.ui.helpBtn.clicked.connect(self.helpClicked)
# Set up vertical slide
self._upperSlideValue = 99
self._lowerSlideValue = 0
self.ui.verticalSlider.setRange(0, 100)
self.ui.verticalSlider.setValue(self._upperSlideValue)
self.ui.verticalSlider.setTracking(True)
self.ui.verticalSlider.valueChanged.connect(self.move_upperSlider)
self.ui.verticalSlider_2.setRange(0, 100)
self.ui.verticalSlider_2.setValue(self._lowerSlideValue)
self.ui.verticalSlider_2.setTracking(True)
self.ui.verticalSlider_2.valueChanged.connect(self.move_lowerSlider)
# Set up for filtering (advanced setup)
self._tofcorrection = False
self.ui.checkBox_fastLog.setChecked(False)
self.ui.checkBox_filterByPulse.setChecked(False)
self.ui.checkBox_from1.setChecked(False)
self.ui.checkBox_groupWS.setChecked(True)
self.ui.comboBox_tofCorr.currentIndexChanged.connect(self.showHideEi)
self.ui.pushButton_refreshCorrWSList.clicked.connect(
self._searchTableWorkspaces)
self.ui.lineEdit_Ei.setValidator(regexp_val)
self.ui.label_Ei.hide()
self.ui.lineEdit_Ei.hide()
self.ui.label_Ei_2.hide()
self.ui.comboBox_corrWS.hide()
self.ui.pushButton_refreshCorrWSList.hide()
# Set up for workspaces
self._dataWS = None
self._sampleLogNames = []
self._sampleLog = None
# Side information
self.ui.label_mean.hide()
self.ui.label_meanvalue.hide()
self.ui.label_avg.hide()
self.ui.label_timeAvgValue.hide()
self.ui.label_freq.hide()
self.ui.label_freqValue.hide()
self.ui.label_logname.hide()
self.ui.label_lognamevalue.hide()
self.ui.label_logsize.hide()
self.ui.label_logsizevalue.hide()
# Default
self._defaultdir = os.getcwd()
# register startup
mantid.UsageService.registerFeatureUsage(
mantid.kernel.FeatureType.Interface, "EventFilter", False)
def drawLayout(self):
"""
Draws the GUI layout.
"""
self.widgetslist = [
['pair', 'show', 'Instrument', 'combo', self.instruments, self.setInstrument, 'InstrumentCombo'],
['pair', 'show', 'Chopper', 'combo', '', self.setChopper, 'ChopperCombo'],
['pair', 'show', 'Frequency', 'combo', '', self.setFreq, 'FrequencyCombo'],
['pair', 'hide', 'Pulse remover chopper freq', 'combo', '', self.setFreq, 'PulseRemoverCombo'],
['pair', 'show', 'Ei', 'edit', '', self.setEi, 'EiEdit'],
['pair', 'hide', 'Chopper 2 phase delay time', 'edit', '5', self.setFreq, 'Chopper2Phase'],
['spacer'],
['single', 'show', 'Calculate and Plot', 'button', self.calc_callback, 'CalculateButton'],
['single', 'show', 'Hold current plot', 'check', lambda: None, 'HoldCheck'],
['single', 'show', 'Show multi-reps', 'check', lambda: None, 'MultiRepCheck'],
['spacer'],
['single', 'show', 'Show data ascii window', 'button', self.showText, 'ShowAsciiButton'],
['single', 'show', 'Save data as ascii', 'button', self.saveText, 'SaveAsciiButton']
]
self.droplabels = []
self.dropboxes = []
self.singles = []
self.widgets = {}
self.leftPanel = QVBoxLayout()
self.rightPanel = QVBoxLayout()
self.tabs = QTabWidget(self)
self.fullWindow = QGridLayout()
for widget in self.widgetslist:
if 'pair' in widget[0]:
self.droplabels.append(QLabel(widget[2]))
if 'combo' in widget[3]:
self.dropboxes.append(QComboBox(self))
self.dropboxes[-1].activated['QString'].connect(widget[5])
for item in widget[4]:
self.dropboxes[-1].addItem(item)
self.widgets[widget[-1]] = {'Combo':self.dropboxes[-1], 'Label':self.droplabels[-1]}
elif 'edit' in widget[3]:
self.dropboxes.append(QLineEdit(self))
self.dropboxes[-1].returnPressed.connect(widget[5])
self.widgets[widget[-1]] = {'Edit':self.dropboxes[-1], 'Label':self.droplabels[-1]}
else:
raise RuntimeError('Bug in code - widget %s is not recognised.' % (widget[3]))
self.leftPanel.addWidget(self.droplabels[-1])
self.leftPanel.addWidget(self.dropboxes[-1])
if 'hide' in widget[1]:
self.droplabels[-1].hide()
self.dropboxes[-1].hide()
elif 'single' in widget[0]:
if 'check' in widget[3]:
self.singles.append(QCheckBox(widget[2], self))
self.singles[-1].stateChanged.connect(widget[4])
elif 'button' in widget[3]:
self.singles.append(QPushButton(widget[2]))
self.singles[-1].clicked.connect(widget[4])
else:
raise RuntimeError('Bug in code - widget %s is not recognised.' % (widget[3]))
self.leftPanel.addWidget(self.singles[-1])
if 'hide' in widget[1]:
self.singles[-1].hide()
self.widgets[widget[-1]] = self.singles[-1]
elif 'spacer' in widget[0]:
self.leftPanel.addItem(QSpacerItem(0, 35))
else:
raise RuntimeError('Bug in code - widget class %s is not recognised.' % (widget[0]))
# Right panel, matplotlib figures
self.resfig = Figure()
self.resfig.patch.set_facecolor('white')
self.rescanvas = FigureCanvas(self.resfig)
self.resaxes = self.resfig.add_subplot(111)
self.resaxes.axhline(color='k')
self.resaxes.set_xlabel('Energy Transfer (meV)')
self.resaxes.set_ylabel(r'$\Delta$E (meV FWHM)')
self.resfig_controls = NavigationToolbar(self.rescanvas, self)
self.restab = QWidget(self.tabs)
self.restabbox = QVBoxLayout()
self.restabbox.addWidget(self.rescanvas)
self.restabbox.addWidget(self.resfig_controls)
self.restab.setLayout(self.restabbox)
self.flxfig = Figure()
self.flxfig.patch.set_facecolor('white')
self.flxcanvas = FigureCanvas(self.flxfig)
self.flxaxes1 = self.flxfig.add_subplot(121)
self.flxaxes1.set_xlabel('Incident Energy (meV)')
self.flxaxes1.set_ylabel('Flux (n/cm$^2$/s)')
self.flxaxes2 = self.flxfig.add_subplot(122)
self.flxaxes2.set_xlabel('Incident Energy (meV)')
self.flxaxes2.set_ylabel('Elastic Resolution FWHM (meV)')
self.flxfig_controls = NavigationToolbar(self.flxcanvas, self)
self.flxsldfg = Figure()
self.flxsldfg.patch.set_facecolor('white')
self.flxsldcv = FigureCanvas(self.flxsldfg)
self.flxsldax = self.flxsldfg.add_subplot(111)
self.flxslder = Slider(self.flxsldax, 'Ei (meV)', 0, 100, valinit=100)
self.flxslder.valtext.set_visible(False)
self.flxslder.on_changed(self.update_slider)
self.flxedt = QLineEdit()
self.flxedt.setText('1000')
self.flxedt.returnPressed.connect(self.update_slider)
self.flxtab = QWidget(self.tabs)
self.flxsldbox = QHBoxLayout()
self.flxsldbox.addWidget(self.flxsldcv)
self.flxsldbox.addWidget(self.flxedt)
self.flxsldwdg = QWidget()
self.flxsldwdg.setLayout(self.flxsldbox)
sz = self.flxsldwdg.maximumSize()
sz.setHeight(50)
self.flxsldwdg.setMaximumSize(sz)
self.flxtabbox = QVBoxLayout()
self.flxtabbox.addWidget(self.flxcanvas)
self.flxtabbox.addWidget(self.flxsldwdg)
self.flxtabbox.addWidget(self.flxfig_controls)
self.flxtab.setLayout(self.flxtabbox)
self.frqfig = Figure()
self.frqfig.patch.set_facecolor('white')
self.frqcanvas = FigureCanvas(self.frqfig)
self.frqaxes1 = self.frqfig.add_subplot(121)
self.frqaxes1.set_xlabel('Chopper Frequency (Hz)')
self.frqaxes1.set_ylabel('Flux (n/cm$^2$/s)')
self.frqaxes2 = self.frqfig.add_subplot(122)
self.frqaxes1.set_xlabel('Chopper Frequency (Hz)')
self.frqaxes2.set_ylabel('Elastic Resolution FWHM (meV)')
self.frqfig_controls = NavigationToolbar(self.frqcanvas, self)
self.frqtab = QWidget(self.tabs)
self.frqtabbox = QVBoxLayout()
self.frqtabbox.addWidget(self.frqcanvas)
self.frqtabbox.addWidget(self.frqfig_controls)
self.frqtab.setLayout(self.frqtabbox)
self.repfig = Figure()
self.repfig.patch.set_facecolor('white')
self.repcanvas = FigureCanvas(self.repfig)
self.repaxes = self.repfig.add_subplot(111)
self.repaxes.axhline(color='k')
self.repaxes.set_xlabel(r'TOF ($\mu$sec)')
self.repaxes.set_ylabel('Distance (m)')
self.repfig_controls = NavigationToolbar(self.repcanvas, self)
self.repfig_nframe_label = QLabel('Number of frames to plot')
self.repfig_nframe_edit = QLineEdit('1')
self.repfig_nframe_button = QPushButton('Replot')
self.repfig_nframe_button.clicked.connect(lambda: self.plot_frame())
self.repfig_nframe_rep1only = QCheckBox('First Rep Only')
self.repfig_nframe_box = QHBoxLayout()
self.repfig_nframe_box.addWidget(self.repfig_nframe_label)
self.repfig_nframe_box.addWidget(self.repfig_nframe_edit)
self.repfig_nframe_box.addWidget(self.repfig_nframe_button)
self.repfig_nframe_box.addWidget(self.repfig_nframe_rep1only)
self.reptab = QWidget(self.tabs)
self.repfig_nframe = QWidget(self.reptab)
self.repfig_nframe.setLayout(self.repfig_nframe_box)
self.repfig_nframe.setSizePolicy(QSizePolicy(QSizePolicy.Preferred, QSizePolicy.Fixed))
self.reptabbox = QVBoxLayout()
self.reptabbox.addWidget(self.repcanvas)
self.reptabbox.addWidget(self.repfig_nframe)
self.reptabbox.addWidget(self.repfig_controls)
self.reptab.setLayout(self.reptabbox)
self.qefig = Figure()
self.qefig.patch.set_facecolor('white')
self.qecanvas = FigureCanvas(self.qefig)
self.qeaxes = self.qefig.add_subplot(111)
self.qeaxes.axhline(color='k')
self.qeaxes.set_xlabel(r'$|Q| (\mathrm{\AA}^{-1})$')
self.qeaxes.set_ylabel('Energy Transfer (meV)')
self.qefig_controls = NavigationToolbar(self.qecanvas, self)
self.qetabbox = QVBoxLayout()
self.qetabbox.addWidget(self.qecanvas)
self.qetabbox.addWidget(self.qefig_controls)
self.qetab = QWidget(self.tabs)
self.qetab.setLayout(self.qetabbox)
self.scrtab = QWidget(self.tabs)
self.scredt = QTextEdit()
self.scrcls = QPushButton("Clear")
self.scrcls.clicked.connect(lambda: self.scredt.clear())
self.scrbox = QVBoxLayout()
self.scrbox.addWidget(self.scredt)
self.scrbox.addWidget(self.scrcls)
self.scrtab.setLayout(self.scrbox)
self.scrtab.hide()
self.tabs.addTab(self.restab, 'Resolution')
self.tabs.addTab(self.flxtab, 'Flux-Ei')
self.tabs.addTab(self.frqtab, 'Flux-Freq')
self.tabs.addTab(self.reptab, 'Time-Distance')
self.tdtabID = 3
self.tabs.setTabEnabled(self.tdtabID, False)
self.tabs.addTab(self.qetab, 'Q-E')
self.qetabID = 4
self.tabs.setTabEnabled(self.qetabID, False)
self.scrtabID = 5
self.rightPanel.addWidget(self.tabs)
self.menuLoad = QMenu('Load')
self.loadAct = QAction('Load YAML', self.menuLoad)
self.loadAct.triggered.connect(self.loadYaml)
self.menuLoad.addAction(self.loadAct)
self.menuOptions = QMenu('Options')
self.instSciAct = QAction('Instrument Scientist Mode', self.menuOptions, checkable=True)
self.instSciAct.triggered.connect(self.instSciCB)
self.menuOptions.addAction(self.instSciAct)
self.eiPlots = QAction('Press Enter in Ei box updates plots', self.menuOptions, checkable=True)
self.menuOptions.addAction(self.eiPlots)
self.overwriteload = QAction('Always overwrite instruments in memory', self.menuOptions, checkable=True)
self.menuOptions.addAction(self.overwriteload)
self.menuBar().addMenu(self.menuLoad)
self.menuBar().addMenu(self.menuOptions)
self.leftPanelWidget = QWidget()
self.leftPanelWidget.setLayout(self.leftPanel)
self.leftPanelWidget.setSizePolicy(QSizePolicy(QSizePolicy.Fixed, QSizePolicy.Preferred))
self.fullWindow.addWidget(self.leftPanelWidget, 0, 0)
self.fullWindow.addLayout(self.rightPanel, 0, 1)
self.helpbtn = QPushButton("?", self)
self.helpbtn.setMaximumWidth(30)
self.helpbtn.clicked.connect(self.onHelp)
self.fullWindow.addWidget(self.helpbtn, 1, 0, 1, -1)
self.mainWidget = QWidget()
self.mainWidget.setLayout(self.fullWindow)
self.setCentralWidget(self.mainWidget)
self.setWindowTitle('PyChopGUI')
self.show()
def __init__(self,
presenter,
parent=None,
window_flags=Qt.Window,
name='',
isMD=False,
noExp=0):
super(SampleLogsView, self).__init__(parent)
self.presenter = presenter
self.setWindowTitle("{} sample logs".format(name))
self.setWindowFlags(window_flags)
self.setAttribute(Qt.WA_DeleteOnClose, True)
# left hand side
self.frame_left = QFrame()
layout_left = QVBoxLayout()
# add a spin box for MD workspaces
if isMD:
layout_mult_expt_info = QHBoxLayout()
layout_mult_expt_info.addWidget(QLabel("Experiment Info #"))
self.experimentInfo = QSpinBox()
self.experimentInfo.setMaximum(noExp - 1)
self.experimentInfo.valueChanged.connect(
self.presenter.changeExpInfo)
layout_mult_expt_info.addWidget(self.experimentInfo)
layout_mult_expt_info.addSpacerItem(
QSpacerItem(10, 10, QSizePolicy.Expanding))
layout_left.addLayout(layout_mult_expt_info)
# create a line edit to allow for filtering keys
self.line_edit = QLineEdit()
self.line_edit.setClearButtonEnabled(True)
self.line_edit.setToolTip("Type here to filter the logs")
self.line_edit.setPlaceholderText("Search the logs")
self.line_edit.textEdited.connect(self.presenter.search_key_changed)
layout_left.addWidget(self.line_edit)
# Create sample log table
self.table = QTableView()
self.table.setSelectionBehavior(QAbstractItemView.SelectRows)
self.table.doubleClicked.connect(self.presenter.doubleClicked)
self.table.contextMenuEvent = self.tableMenu
layout_left.addWidget(self.table)
self.frame_left.setLayout(layout_left)
self.addWidget(self.frame_left)
#right hand side
self.frame_right = QFrame()
layout_right = QVBoxLayout()
#Add full_time and experimentinfo options
layout_options = QHBoxLayout()
if isMD:
layout_options.addWidget(QLabel("Experiment Info #"))
self.experimentInfo = QSpinBox()
self.experimentInfo.setMaximum(noExp - 1)
self.experimentInfo.valueChanged.connect(
self.presenter.changeExpInfo)
layout_options.addWidget(self.experimentInfo)
#check boxes
self.full_time = QCheckBox("Relative Time")
self.full_time.setToolTip(
"Shows relative time in seconds from the start of the run.")
self.full_time.setChecked(True)
self.full_time.stateChanged.connect(self.presenter.plot_logs)
layout_options.addWidget(self.full_time)
self.show_filtered = QCheckBox("Filtered Data")
self.show_filtered.setToolTip(
"Filtered data only shows data while running and in this period.\nInvalid values are also filtered."
)
self.show_filtered.setChecked(True)
self.show_filtered.stateChanged.connect(
self.presenter.filtered_changed)
layout_options.addWidget(self.show_filtered)
self.spaceItem = QSpacerItem(10, 10, QSizePolicy.Expanding)
layout_options.addSpacerItem(self.spaceItem)
layout_right.addLayout(layout_options)
# Sample log plot
self.fig = Figure()
self.canvas = FigureCanvas(self.fig)
self.canvas.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Expanding)
self.canvas.mpl_connect('button_press_event',
self.presenter.plot_clicked)
self.ax = self.fig.add_subplot(111, projection='mantid')
layout_right.addWidget(self.canvas)
# Sample stats
self.create_stats_widgets()
layout_stats = QFormLayout()
layout_stats.addRow('', QLabel("Log Statistics"))
layout_stats.addRow('Min:', self.stats_widgets["minimum"])
layout_stats.addRow('Max:', self.stats_widgets["maximum"])
layout_stats.addRow('Time Avg:', self.stats_widgets["time_mean"])
layout_stats.addRow('Time Std Dev:',
self.stats_widgets["time_standard_deviation"])
layout_stats.addRow('Mean (unweighted):', self.stats_widgets["mean"])
layout_stats.addRow('Median (unweighted):',
self.stats_widgets["median"])
layout_stats.addRow('Std Dev:',
self.stats_widgets["standard_deviation"])
layout_stats.addRow('Duration:', self.stats_widgets["duration"])
layout_right.addLayout(layout_stats)
self.frame_right.setLayout(layout_right)
self.addWidget(self.frame_right)
self.setStretchFactor(0, 1)
self.resize(1200, 800)
self.show()
def __init__(self, parent=None):
super(ColorbarWidget, self).__init__(parent)
self.setWindowTitle("Colorbar")
self.setMaximumWidth(200)
self.cmap = QComboBox()
self.cmap.addItems(sorted(cm.cmap_d.keys()))
self.cmap.currentIndexChanged.connect(self.cmap_index_changed)
self.cmin = QLineEdit()
self.cmin_value = 0
self.cmin.setMaximumWidth(100)
self.cmin.editingFinished.connect(self.clim_changed)
self.cmin_layout = QHBoxLayout()
self.cmin_layout.addStretch()
self.cmin_layout.addWidget(self.cmin)
self.cmin_layout.addStretch()
self.cmax = QLineEdit()
self.cmax_value = 1
self.cmax.setMaximumWidth(100)
self.cmax.editingFinished.connect(self.clim_changed)
self.cmin.setValidator(QDoubleValidator())
self.cmax.setValidator(QDoubleValidator())
self.cmax_layout = QHBoxLayout()
self.cmax_layout.addStretch()
self.cmax_layout.addWidget(self.cmax)
self.cmax_layout.addStretch()
self.norm_layout = QHBoxLayout()
self.norm = QComboBox()
self.norm.addItems(NORM_OPTS)
self.norm.currentIndexChanged.connect(self.norm_changed)
self.powerscale = QLineEdit()
self.powerscale_value = 2
self.powerscale.setText("2")
self.powerscale.setValidator(QDoubleValidator(0.001,100,3))
self.powerscale.setMaximumWidth(50)
self.powerscale.editingFinished.connect(self.norm_changed)
self.powerscale.hide()
self.powerscale_label = QLabel("n=")
self.powerscale_label.hide()
self.norm_layout.addStretch()
self.norm_layout.addWidget(self.norm)
self.norm_layout.addStretch()
self.norm_layout.addWidget(self.powerscale_label)
self.norm_layout.addWidget(self.powerscale)
self.autoscale = QCheckBox("Autoscaling")
self.autoscale.setChecked(True)
self.autoscale.stateChanged.connect(self.update_clim)
self.canvas = FigureCanvas(Figure())
if parent:
# Set facecolor to match parent
self.canvas.figure.set_facecolor(parent.palette().window().color().getRgbF())
self.ax = self.canvas.figure.add_axes([0.4,0.05,0.2,0.9])
# layout
self.layout = QVBoxLayout(self)
self.layout.addWidget(self.cmap)
self.layout.addLayout(self.cmax_layout)
self.layout.addWidget(self.canvas, stretch=1)
self.layout.addLayout(self.cmin_layout)
self.layout.addLayout(self.norm_layout)
self.layout.addWidget(self.autoscale)
class ColorbarWidget(QWidget):
colorbarChanged = Signal() # The parent should simply redraw their canvas
scaleNormChanged = Signal()
# register additional color maps from file
register_customized_colormaps()
# create the list
cmap_list = sorted(
[cmap for cmap in cm.cmap_d.keys() if not cmap.endswith('_r')])
def __init__(self, parent=None, default_norm_scale=None):
"""
:param default_scale: None uses linear, else either a string or tuple(string, other arguments), e.g. tuple('Power', exponent)
"""
super(ColorbarWidget, self).__init__(parent)
self.setWindowTitle("Colorbar")
self.setMaximumWidth(100)
self.cmap = QComboBox()
self.cmap.addItems(self.cmap_list)
self.cmap.currentIndexChanged.connect(self.cmap_index_changed)
self.crev = QCheckBox('Reverse')
self.crev.stateChanged.connect(self.crev_checked_changed)
self.cmin = QLineEdit()
self.cmin_value = 0
self.cmin.setMaximumWidth(100)
self.cmin.editingFinished.connect(self.clim_changed)
self.cmin_layout = QHBoxLayout()
self.cmin_layout.addStretch()
self.cmin_layout.addWidget(self.cmin)
self.cmin_layout.addStretch()
self.linear_validator = QDoubleValidator(parent=self)
self.log_validator = QDoubleValidator(MIN_LOG_VALUE,
sys.float_info.max, 3, self)
self.cmax = QLineEdit()
self.cmax_value = 1
self.cmax.setMaximumWidth(100)
self.cmax.editingFinished.connect(self.clim_changed)
self.cmax_layout = QHBoxLayout()
self.cmax_layout.addStretch()
self.cmax_layout.addWidget(self.cmax)
self.cmax_layout.addStretch()
norm_scale = 'Linear'
powerscale_value = 2
if default_norm_scale in NORM_OPTS:
norm_scale = default_norm_scale
if isinstance(default_norm_scale,
tuple) and default_norm_scale[0] in NORM_OPTS:
norm_scale = default_norm_scale[0]
if norm_scale == 'Power':
powerscale_value = float(default_norm_scale[1])
self.norm_layout = QHBoxLayout()
self.norm = QComboBox()
self.norm.addItems(NORM_OPTS)
self.norm.setCurrentText(norm_scale)
self.norm.currentIndexChanged.connect(self.norm_changed)
self.update_clim_validator()
self.powerscale = QLineEdit()
self.powerscale_value = powerscale_value
self.powerscale.setText(str(powerscale_value))
self.powerscale.setValidator(QDoubleValidator(0.001, 100, 3))
self.powerscale.setMaximumWidth(50)
self.powerscale.editingFinished.connect(self.norm_changed)
self.powerscale_label = QLabel("n=")
if norm_scale != 'Power':
self.powerscale.hide()
self.powerscale_label.hide()
self.norm_layout.addStretch()
self.norm_layout.addWidget(self.norm)
self.norm_layout.addStretch()
self.norm_layout.addWidget(self.powerscale_label)
self.norm_layout.addWidget(self.powerscale)
self.autoscale = QCheckBox("Autoscaling")
self.autoscale.setChecked(True)
self.autoscale.stateChanged.connect(self.update_clim)
self.canvas = FigureCanvas(Figure())
if parent:
# Set facecolor to match parent
self.canvas.figure.set_facecolor(
parent.palette().window().color().getRgbF())
self.ax = self.canvas.figure.add_axes([0.0, 0.02, 0.2, 0.97])
# layout
self.layout = QVBoxLayout(self)
self.layout.setContentsMargins(0, 0, 0, 0)
self.layout.setSpacing(2)
self.layout.addWidget(self.cmap)
self.layout.addWidget(self.crev)
self.layout.addLayout(self.cmax_layout)
self.layout.addWidget(self.canvas, stretch=1)
self.layout.addLayout(self.cmin_layout)
self.layout.addLayout(self.norm_layout)
self.layout.addWidget(self.autoscale)
def set_mappable(self, mappable):
"""
When a new plot is created this method should be called with the new mappable
"""
# sanity check the mappable
mappable = self._validate_mappable(mappable)
self.ax.clear()
try: # Use current cmap
cmap = get_current_cmap(self.colorbar)
except AttributeError:
# else use default
cmap = ConfigService.getString("plots.images.Colormap")
self.colorbar = Colorbar(ax=self.ax, mappable=mappable)
self.cmin_value, self.cmax_value = mappable.get_clim()
self.update_clim_text()
self.cmap_changed(cmap, False)
mappable_cmap = get_current_cmap(mappable)
if mappable_cmap.name.endswith('_r'):
self.crev.setChecked(True)
else:
self.crev.setChecked(False)
self.cmap.setCurrentIndex(
self.cmap_list.index(mappable_cmap.name.replace('_r', '')))
self.redraw()
def cmap_index_changed(self):
self.cmap_changed(self.cmap.currentText(), self.crev.isChecked())
def crev_checked_changed(self):
self.cmap_changed(self.cmap.currentText(), self.crev.isChecked())
def cmap_changed(self, name, rev):
if rev:
name += '_r'
self.colorbar.mappable.set_cmap(name)
if mpl_version_info() >= (3, 1):
self.colorbar.update_normal(self.colorbar.mappable)
else:
self.colorbar.set_cmap(name)
self.redraw()
def mappable_changed(self):
"""
Updates the colormap and min/max values of the colorbar
when the plot changes via settings.
"""
mappable_cmap = get_current_cmap(self.colorbar.mappable)
low, high = self.colorbar.mappable.get_clim()
self.cmin_value = low
self.cmax_value = high
self.update_clim_text()
self.cmap.setCurrentIndex(
sorted(cm.cmap_d.keys()).index(mappable_cmap.name))
self.redraw()
def norm_changed(self):
"""
Called when a different normalization is selected
"""
idx = self.norm.currentIndex()
if NORM_OPTS[idx] == 'Power':
self.powerscale.show()
self.powerscale_label.show()
else:
self.powerscale.hide()
self.powerscale_label.hide()
self.colorbar.mappable.set_norm(self.get_norm())
self.set_mappable(self.colorbar.mappable)
self.update_clim_validator()
self.scaleNormChanged.emit()
def get_norm(self):
"""
This will create a matplotlib.colors.Normalize from selected idx, limits and powerscale
"""
idx = self.norm.currentIndex()
if self.autoscale.isChecked():
cmin = cmax = None
else:
cmin = self.cmin_value
cmax = self.cmax_value
if NORM_OPTS[idx] == 'Power':
if self.powerscale.hasAcceptableInput():
self.powerscale_value = float(self.powerscale.text())
return PowerNorm(gamma=self.powerscale_value, vmin=cmin, vmax=cmax)
elif NORM_OPTS[idx] == "SymmetricLog10":
return SymLogNorm(
1e-8 if cmin is None else max(1e-8,
abs(cmin) * 1e-3),
vmin=cmin,
vmax=cmax)
elif NORM_OPTS[idx] == "Log":
cmin = MIN_LOG_VALUE if cmin is not None and cmin <= 0 else cmin
return LogNorm(vmin=cmin, vmax=cmax)
else:
return Normalize(vmin=cmin, vmax=cmax)
def get_colorbar_scale(self):
norm = self.colorbar.norm
scale = 'linear'
kwargs = {}
if isinstance(norm, SymLogNorm):
scale = 'symlog'
elif isinstance(norm, LogNorm):
scale = 'log'
elif isinstance(norm, PowerNorm):
scale = 'function'
kwargs = {
'functions': (lambda x: np.power(x, norm.gamma),
lambda x: np.power(x, 1 / norm.gamma))
}
return scale, kwargs
def clim_changed(self):
"""
Called when either the min or max is changed. Will unset the autoscale.
"""
self.autoscale.blockSignals(True)
self.autoscale.setChecked(False)
self.autoscale.blockSignals(False)
self.update_clim()
def update_clim(self):
"""
This will update the clim of the plot based on min, max, and autoscale
"""
if self.autoscale.isChecked():
self._autoscale_clim()
else:
self._manual_clim()
self.colorbar.mappable.set_clim(self.cmin_value, self.cmax_value)
self.redraw()
def update_clim_text(self):
"""
Update displayed limit values based on stored ones
"""
self.cmin.setText("{:.4}".format(self.cmin_value))
self.cmax.setText("{:.4}".format(self.cmax_value))
def redraw(self):
"""
Redraws the colobar and emits signal to cause the parent to redraw
"""
self.colorbar.update_ticks()
self.colorbar.draw_all()
self.canvas.draw_idle()
self.colorbarChanged.emit()
def update_clim_validator(self):
if NORM_OPTS[self.norm.currentIndex()] == "Log":
self.cmin.setValidator(self.log_validator)
self.cmax.setValidator(self.log_validator)
else:
self.cmin.setValidator(self.linear_validator)
self.cmax.setValidator(self.linear_validator)
def _autoscale_clim(self):
"""Update stored colorbar limits
The new limits are found from the colobar data """
data = self.colorbar.mappable.get_array()
norm = NORM_OPTS[self.norm.currentIndex()]
try:
try:
masked_data = data[~data.mask]
# use the smallest positive value as vmin when using log scale,
# matplotlib will take care of the data skipping part.
masked_data = masked_data[
data > 0] if norm == "Log" else masked_data
self.cmin_value = masked_data.min()
self.cmax_value = masked_data.max()
except (AttributeError, IndexError):
data = data[np.nonzero(data)] if norm == "Log" else data
self.cmin_value = np.nanmin(data)
self.cmax_value = np.nanmax(data)
except (ValueError, RuntimeWarning):
# all values mask
pass
self.update_clim_text()
def _manual_clim(self):
"""Update stored colorbar limits
The new limits are found from user input"""
if self.cmin.hasAcceptableInput():
cmin = float(self.cmin.text())
if cmin < self.cmax_value:
self.cmin_value = cmin
else: # reset values back
self.update_clim_text()
if self.cmax.hasAcceptableInput():
cmax = float(self.cmax.text())
if cmax > self.cmin_value:
self.cmax_value = cmax
else: # reset values back
self.update_clim_text()
def _create_linear_normalize_object(self):
if self.autoscale.isChecked():
cmin = cmax = None
else:
cmin = self.cmin_value
cmax = self.cmax_value
return Normalize(vmin=cmin, vmax=cmax)
def _validate_mappable(self, mappable):
"""Disable the Log option if no positive value can be found from given data (image)"""
index = NORM_OPTS.index("Log")
if mappable.get_array() is not None:
if np.all(mappable.get_array() <= 0):
self.norm.model().item(index, 0).setEnabled(False)
self.norm.setItemData(
index, "Log scale is disabled for non-positive data",
Qt.ToolTipRole)
if isinstance(mappable.norm, LogNorm):
mappable.norm = self._create_linear_normalize_object()
self.norm.blockSignals(True)
self.norm.setCurrentIndex(0)
self.norm.blockSignals(False)
else:
if not self.norm.model().item(index, 0).isEnabled():
self.norm.model().item(index, 0).setEnabled(True)
self.norm.setItemData(index, "", Qt.ToolTipRole)
return mappable
def __init__(self, parent=None, default_norm_scale=None):
"""
:param default_scale: None uses linear, else either a string or tuple(string, other arguments), e.g. tuple('Power', exponent)
"""
super(ColorbarWidget, self).__init__(parent)
self.setWindowTitle("Colorbar")
self.setMaximumWidth(100)
self.cmap = QComboBox()
self.cmap.addItems(self.cmap_list)
self.cmap.currentIndexChanged.connect(self.cmap_index_changed)
self.crev = QCheckBox('Reverse')
self.crev.stateChanged.connect(self.crev_checked_changed)
self.cmin = QLineEdit()
self.cmin_value = 0
self.cmin.setMaximumWidth(100)
self.cmin.editingFinished.connect(self.clim_changed)
self.cmin_layout = QHBoxLayout()
self.cmin_layout.addStretch()
self.cmin_layout.addWidget(self.cmin)
self.cmin_layout.addStretch()
self.linear_validator = QDoubleValidator(parent=self)
self.log_validator = QDoubleValidator(MIN_LOG_VALUE,
sys.float_info.max, 3, self)
self.cmax = QLineEdit()
self.cmax_value = 1
self.cmax.setMaximumWidth(100)
self.cmax.editingFinished.connect(self.clim_changed)
self.cmax_layout = QHBoxLayout()
self.cmax_layout.addStretch()
self.cmax_layout.addWidget(self.cmax)
self.cmax_layout.addStretch()
norm_scale = 'Linear'
powerscale_value = 2
if default_norm_scale in NORM_OPTS:
norm_scale = default_norm_scale
if isinstance(default_norm_scale,
tuple) and default_norm_scale[0] in NORM_OPTS:
norm_scale = default_norm_scale[0]
if norm_scale == 'Power':
powerscale_value = float(default_norm_scale[1])
self.norm_layout = QHBoxLayout()
self.norm = QComboBox()
self.norm.addItems(NORM_OPTS)
self.norm.setCurrentText(norm_scale)
self.norm.currentIndexChanged.connect(self.norm_changed)
self.update_clim_validator()
self.powerscale = QLineEdit()
self.powerscale_value = powerscale_value
self.powerscale.setText(str(powerscale_value))
self.powerscale.setValidator(QDoubleValidator(0.001, 100, 3))
self.powerscale.setMaximumWidth(50)
self.powerscale.editingFinished.connect(self.norm_changed)
self.powerscale_label = QLabel("n=")
if norm_scale != 'Power':
self.powerscale.hide()
self.powerscale_label.hide()
self.norm_layout.addStretch()
self.norm_layout.addWidget(self.norm)
self.norm_layout.addStretch()
self.norm_layout.addWidget(self.powerscale_label)
self.norm_layout.addWidget(self.powerscale)
self.autoscale = QCheckBox("Autoscaling")
self.autoscale.setChecked(True)
self.autoscale.stateChanged.connect(self.update_clim)
self.canvas = FigureCanvas(Figure())
if parent:
# Set facecolor to match parent
self.canvas.figure.set_facecolor(
parent.palette().window().color().getRgbF())
self.ax = self.canvas.figure.add_axes([0.0, 0.02, 0.2, 0.97])
# layout
self.layout = QVBoxLayout(self)
self.layout.setContentsMargins(0, 0, 0, 0)
self.layout.setSpacing(2)
self.layout.addWidget(self.cmap)
self.layout.addWidget(self.crev)
self.layout.addLayout(self.cmax_layout)
self.layout.addWidget(self.canvas, stretch=1)
self.layout.addLayout(self.cmin_layout)
self.layout.addLayout(self.norm_layout)
self.layout.addWidget(self.autoscale)
class SliceViewerView(QWidget):
def __init__(self, presenter, dims_info, parent=None):
super(SliceViewerView, self).__init__(parent)
self.presenter = presenter
self.setWindowTitle("SliceViewer")
self.setWindowFlags(Qt.Window)
self.setAttribute(Qt.WA_DeleteOnClose, True)
self.line_plots = False
# Dimension widget
self.dimensions = DimensionWidget(dims_info, parent=self)
self.dimensions.dimensionsChanged.connect(self.presenter.new_plot)
self.dimensions.valueChanged.connect(self.presenter.update_plot_data)
# MPL figure + colorbar
self.mpl_layout = QHBoxLayout()
self.fig = Figure()
self.fig.set_facecolor(self.palette().window().color().getRgbF())
self.fig.set_tight_layout(True)
self.canvas = FigureCanvas(self.fig)
self.canvas.mpl_connect('motion_notify_event', self.mouse_move)
self.create_axes()
self.mpl_layout.addWidget(self.canvas)
self.colorbar = ColorbarWidget(self)
self.colorbar.colorbarChanged.connect(self.update_data_clim)
self.colorbar.colorbarChanged.connect(self.update_line_plot_limits)
self.mpl_layout.addWidget(self.colorbar)
# MPL toolbar
self.mpl_toolbar = SliceViewerNavigationToolbar(self.canvas, self)
self.mpl_toolbar.gridClicked.connect(self.toggle_grid)
self.mpl_toolbar.linePlotsClicked.connect(self.line_plots_toggle)
# layout
self.layout = QVBoxLayout(self)
self.layout.addWidget(self.dimensions)
self.layout.addWidget(self.mpl_toolbar)
self.layout.addLayout(self.mpl_layout, stretch=1)
self.show()
def create_axes(self):
self.fig.clf()
if self.line_plots:
gs = gridspec.GridSpec(2,
2,
width_ratios=[1, 4],
height_ratios=[4, 1],
wspace=0.0,
hspace=0.0)
self.ax = self.fig.add_subplot(gs[1], projection='mantid')
self.ax.xaxis.set_visible(False)
self.ax.yaxis.set_visible(False)
self.axx = self.fig.add_subplot(gs[3], sharex=self.ax)
self.axx.yaxis.tick_right()
self.axy = self.fig.add_subplot(gs[0], sharey=self.ax)
self.axy.xaxis.tick_top()
else:
self.ax = self.fig.add_subplot(111, projection='mantid')
self.canvas.draw_idle()
def plot_MDH(self, ws, **kwargs):
"""
clears the plot and creates a new one using a MDHistoWorkspace
"""
self.ax.clear()
self.im = self.ax.imshow(ws,
origin='lower',
aspect='auto',
transpose=self.dimensions.transpose,
norm=self.colorbar.get_norm(),
**kwargs)
self.draw_plot()
def plot_matrix(self, ws, **kwargs):
"""
clears the plot and creates a new one using a MatrixWorkspace
"""
self.ax.clear()
self.im = imshow_sampling(self.ax,
ws,
origin='lower',
aspect='auto',
interpolation='none',
transpose=self.dimensions.transpose,
norm=self.colorbar.get_norm(),
**kwargs)
self.im._resample_image()
self.draw_plot()
def draw_plot(self):
self.ax.set_title('')
self.colorbar.set_mappable(self.im)
self.colorbar.update_clim()
self.mpl_toolbar.update() # clear nav stack
self.clear_line_plots()
self.canvas.draw_idle()
def update_plot_data(self, data):
"""
This just updates the plot data without creating a new plot
"""
self.im.set_data(data.T)
self.colorbar.update_clim()
def line_plots_toggle(self, state):
self.line_plots = state
self.clear_line_plots()
self.presenter.line_plots()
def clear_line_plots(self):
try: # clear old plots
del self.xfig
del self.yfig
except AttributeError:
pass
def update_data_clim(self):
self.im.set_clim(self.colorbar.colorbar.get_clim()
) # force clim update, needed for RHEL7
self.canvas.draw_idle()
def update_line_plot_limits(self):
if self.line_plots:
self.axx.set_ylim(self.colorbar.cmin_value,
self.colorbar.cmax_value)
self.axy.set_xlim(self.colorbar.cmin_value,
self.colorbar.cmax_value)
def toggle_grid(self):
self.ax.grid()
self.canvas.draw_idle()
def mouse_move(self, event):
if event.inaxes == self.ax:
if self.line_plots:
self.update_line_plots(event.xdata, event.ydata)
def plot_x_line(self, x, y):
try:
self.xfig[0].set_data(x, y)
except (AttributeError, IndexError):
self.axx.clear()
self.xfig = self.axx.plot(x, y)
self.axx.set_xlabel(self.ax.get_xlabel())
self.update_line_plot_limits()
self.canvas.draw_idle()
def plot_y_line(self, x, y):
try:
self.yfig[0].set_data(y, x)
except (AttributeError, IndexError):
self.axy.clear()
self.yfig = self.axy.plot(y, x)
self.axy.set_ylabel(self.ax.get_ylabel())
self.update_line_plot_limits()
self.canvas.draw_idle()
def update_line_plots(self, x, y):
xmin, xmax, ymin, ymax = self.im.get_extent()
arr = self.im.get_array()
data_extent = Bbox([[ymin, xmin], [ymax, xmax]])
array_extent = Bbox([[0, 0], arr.shape[:2]])
trans = BboxTransform(boxin=data_extent, boxout=array_extent)
point = trans.transform_point([y, x])
if any(np.isnan(point)):
return
i, j = point.astype(int)
if 0 <= i < arr.shape[0]:
self.plot_x_line(np.linspace(xmin, xmax, arr.shape[1]), arr[i, :])
if 0 <= j < arr.shape[1]:
self.plot_y_line(np.linspace(ymin, ymax, arr.shape[0]), arr[:, j])
def closeEvent(self, event):
self.deleteLater()
super(SliceViewerView, self).closeEvent(event)
class SampleLogsView(QSplitter):
"""Sample Logs View
This contains a table of the logs, a plot of the currently
selected logs, and the statistics of the selected log.
"""
def __init__(self,
presenter,
parent=None,
window_flags=Qt.Window,
name='',
isMD=False,
noExp=0):
super(SampleLogsView, self).__init__(parent)
self.presenter = presenter
self.setWindowTitle("{} sample logs".format(name))
self.setWindowFlags(window_flags)
self.setAttribute(Qt.WA_DeleteOnClose, True)
# left hand side
self.frame_left = QFrame()
layout_left = QVBoxLayout()
# add a spin box for MD workspaces
if isMD:
layout_mult_expt_info = QHBoxLayout()
layout_mult_expt_info.addWidget(QLabel("Experiment Info #"))
self.experimentInfo = QSpinBox()
self.experimentInfo.setMaximum(noExp - 1)
self.experimentInfo.valueChanged.connect(
self.presenter.changeExpInfo)
layout_mult_expt_info.addWidget(self.experimentInfo)
layout_mult_expt_info.addSpacerItem(
QSpacerItem(10, 10, QSizePolicy.Expanding))
layout_left.addLayout(layout_mult_expt_info)
# create a line edit to allow for filtering keys
self.line_edit = QLineEdit()
self.line_edit.setClearButtonEnabled(True)
self.line_edit.setToolTip("Type here to filter the logs")
self.line_edit.setPlaceholderText("Search the logs")
self.line_edit.textEdited.connect(self.presenter.search_key_changed)
layout_left.addWidget(self.line_edit)
# Create sample log table
self.table = QTableView()
self.table.setSelectionBehavior(QAbstractItemView.SelectRows)
self.table.doubleClicked.connect(self.presenter.doubleClicked)
self.table.contextMenuEvent = self.tableMenu
layout_left.addWidget(self.table)
self.frame_left.setLayout(layout_left)
self.addWidget(self.frame_left)
#right hand side
self.frame_right = QFrame()
layout_right = QVBoxLayout()
#Add full_time and experimentinfo options
layout_options = QHBoxLayout()
if isMD:
layout_options.addWidget(QLabel("Experiment Info #"))
self.experimentInfo = QSpinBox()
self.experimentInfo.setMaximum(noExp - 1)
self.experimentInfo.valueChanged.connect(
self.presenter.changeExpInfo)
layout_options.addWidget(self.experimentInfo)
#check boxes
self.full_time = QCheckBox("Relative Time")
self.full_time.setToolTip(
"Shows relative time in seconds from the start of the run.")
self.full_time.setChecked(True)
self.full_time.stateChanged.connect(self.presenter.plot_logs)
layout_options.addWidget(self.full_time)
self.show_filtered = QCheckBox("Filtered Data")
self.show_filtered.setToolTip(
"Filtered data only shows data while running and in this period.\nInvalid values are also filtered."
)
self.show_filtered.setChecked(True)
self.show_filtered.stateChanged.connect(
self.presenter.filtered_changed)
layout_options.addWidget(self.show_filtered)
self.spaceItem = QSpacerItem(10, 10, QSizePolicy.Expanding)
layout_options.addSpacerItem(self.spaceItem)
layout_right.addLayout(layout_options)
# Sample log plot
self.fig = Figure()
self.canvas = FigureCanvas(self.fig)
self.canvas.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Expanding)
self.canvas.mpl_connect('button_press_event',
self.presenter.plot_clicked)
self.ax = self.fig.add_subplot(111, projection='mantid')
layout_right.addWidget(self.canvas)
# Sample stats
self.create_stats_widgets()
layout_stats = QFormLayout()
layout_stats.addRow('', QLabel("Log Statistics"))
layout_stats.addRow('Min:', self.stats_widgets["minimum"])
layout_stats.addRow('Max:', self.stats_widgets["maximum"])
layout_stats.addRow('Time Avg:', self.stats_widgets["time_mean"])
layout_stats.addRow('Time Std Dev:',
self.stats_widgets["time_standard_deviation"])
layout_stats.addRow('Mean (unweighted):', self.stats_widgets["mean"])
layout_stats.addRow('Median (unweighted):',
self.stats_widgets["median"])
layout_stats.addRow('Std Dev:',
self.stats_widgets["standard_deviation"])
layout_stats.addRow('Duration:', self.stats_widgets["duration"])
layout_right.addLayout(layout_stats)
self.frame_right.setLayout(layout_right)
self.addWidget(self.frame_right)
self.setStretchFactor(0, 1)
self.resize(1200, 800)
self.show()
def closeEvent(self, event):
self.deleteLater()
super(SampleLogsView, self).closeEvent(event)
def tableMenu(self, event):
"""Right click menu for table, can plot or print selected logs"""
menu = QMenu(self)
plotAction = menu.addAction("Plot selected")
plotAction.triggered.connect(self.presenter.new_plot_logs)
plotAction = menu.addAction("Print selected")
plotAction.triggered.connect(self.presenter.print_selected_logs)
menu.exec_(event.globalPos())
def set_model(self, model):
"""Set the model onto the table"""
self.model = model
self.table.setModel(self.model)
self.table.resizeColumnsToContents()
self.table.horizontalHeader().setSectionResizeMode(
2, QHeaderView.Stretch)
self.table.selectionModel().selectionChanged.connect(
self.presenter.update)
def show_plot_and_stats(self, show_plot_and_stats):
"""sets wether the plot and stats section should be visible"""
if self.frame_right.isVisible() != show_plot_and_stats:
# the desired state is nor the current state
self.setUpdatesEnabled(False)
current_width = self.frame_right.width()
if current_width:
self.last_width = current_width
else:
current_width = self.last_width
if show_plot_and_stats:
self.resize(self.width() + current_width, self.height())
else:
self.resize(self.width() - current_width, self.height())
self.frame_right.setVisible(show_plot_and_stats)
self.setUpdatesEnabled(True)
def plot_selected_logs(self, ws, exp, rows):
"""Update the plot with the selected rows"""
if self.frame_right.isVisible():
self.ax.clear()
self.create_ax_by_rows(self.ax, ws, exp, rows)
try:
self.fig.canvas.draw()
except ValueError as ve:
#this can throw an error if the plot has recently been hidden, but the error does not matter
if not str(ve).startswith("Image size of"):
raise
def new_plot_selected_logs(self, ws, exp, rows):
"""Create a new plot, in a separate window for selected rows"""
fig, ax = plt.subplots(subplot_kw={'projection': 'mantid'})
self.create_ax_by_rows(ax, ws, exp, rows)
fig.show()
def create_ax_by_rows(self, ax, ws, exp, rows):
"""Creates the plots for given rows onto axis ax"""
for row in rows:
log_text = self.get_row_log_name(row)
ax.plot(ws,
LogName=log_text,
label=log_text,
FullTime=not self.full_time.isChecked(),
Filtered=self.show_filtered.isChecked(),
ExperimentInfo=exp)
ax.set_ylabel('')
if ax.get_legend_handles_labels()[0]:
ax.legend()
def set_log_controls(self, are_logs_filtered):
"""Sets log specific settings based on the log clicked on"""
self.show_filtered.setEnabled(are_logs_filtered)
def get_row_log_name(self, i):
"""Returns the log name of particular row"""
return str(self.model.item(i, 0).text())
def get_exp(self):
"""Get set experiment info number"""
return self.experimentInfo.value()
def get_selected_row_indexes(self):
"""Return a list of selected row from table"""
return [
row.row() for row in self.table.selectionModel().selectedRows()
]
def set_selected_rows(self, rows):
"""Set seleceted rows in table"""
mode = QItemSelectionModel.Select | QItemSelectionModel.Rows
for row in rows:
self.table.selectionModel().select(self.model.index(row, 0), mode)
def create_stats_widgets(self):
"""Creates the statistics widgets"""
self.stats_widgets = {
"minimum": QLineEdit(),
"maximum": QLineEdit(),
"mean": QLineEdit(),
"median": QLineEdit(),
"standard_deviation": QLineEdit(),
"time_mean": QLineEdit(),
"time_standard_deviation": QLineEdit(),
"duration": QLineEdit()
}
for widget in self.stats_widgets.values():
widget.setReadOnly(True)
def set_statistics(self, stats):
"""Updates the statistics widgets from stats dictionary"""
for param in self.stats_widgets.keys():
self.stats_widgets[param].setText('{:.6}'.format(
getattr(stats, param)))
def clear_statistics(self):
"""Clears the values in statistics widgets"""
for widget in self.stats_widgets.values():
widget.clear()