from PyQt5 import QtCore from PyQt5 import QtGui from PyQt5 import QtWidgets import functools import copy import matplotlib.pyplot as plt from matplotlib.font_manager import FontProperties from sas.qtgui.Plotting.PlotterData import Data1D from sas.qtgui.Plotting.PlotterBase import PlotterBase from sas.qtgui.Plotting.AddText import AddText from sas.qtgui.Plotting.SetGraphRange import SetGraphRange from sas.qtgui.Plotting.LinearFit import LinearFit from sas.qtgui.Plotting.PlotProperties import PlotProperties from sas.qtgui.Plotting.ScaleProperties import ScaleProperties import sas.qtgui.Utilities.GuiUtils as GuiUtils import sas.qtgui.Plotting.PlotUtilities as PlotUtilities class PlotterWidget(PlotterBase): """ 1D Plot widget for use with a QDialog """ def __init__(self, parent=None, manager=None, quickplot=False): super(PlotterWidget, self).__init__(parent, manager=manager, quickplot=quickplot) self.parent = parent # Dictionary of {plot_id:Data1d} self.plot_dict = {} # Window for text add self.addText = AddText(self) # Log-ness of the axes self.xLogLabel = "log10(x)" self.yLogLabel = "log10(y)" # Data container for the linear fit self.fit_result = Data1D(x=[], y=[], dy=None) self.fit_result.symbol = 13 self.fit_result.name = "Fit" @property def data(self): return self._data @data.setter def data(self, value): """ data setter """ self._data = value if value._xunit: self.xLabel = "%s(%s)"%(value._xaxis, value._xunit) else: self.xLabel = "%s"%(value._xaxis) if value._yunit: self.yLabel = "%s(%s)"%(value._yaxis, value._yunit) else: self.yLabel = "%s"%(value._yaxis) if value.scale == 'linear' or value.isSesans: self.xscale = 'linear' self.yscale = 'linear' self.title(title=value.name) def plot(self, data=None, color=None, marker=None, hide_error=False): """ Add a new plot of self._data to the chart. """ # Data1D if isinstance(data, Data1D): self.data = data assert(self._data) is_fit = (self.data.id=="fit") # make sure we have some function to operate on if self.data.xtransform is None: self.data.xtransform = 'log10(x)' if self.data.ytransform is None: self.data.ytransform = 'log10(y)' # Transform data if required. if self.data.xtransform is not None or self.data.ytransform is not None: _, _, xscale, yscale = GuiUtils.xyTransform(self.data, self.data.xtransform, self.data.ytransform) if xscale != 'log': self.xscale = xscale if yscale != 'log': self.yscale = yscale # Redefine the Scale properties dialog self.properties = ScaleProperties(self, init_scale_x=self.data.xtransform, init_scale_y=self.data.ytransform) # Shortcuts ax = self.ax x = self._data.view.x y = self._data.view.y # Marker symbol. Passed marker is one of matplotlib.markers characters # Alternatively, picked up from Data1D as an int index of PlotUtilities.SHAPES dict if marker is None: marker = self.data.symbol # Try name first try: marker = dict(PlotUtilities.SHAPES)[marker] except KeyError: marker = list(PlotUtilities.SHAPES.values())[marker] assert marker is not None # Plot name if self.data.title: self.title(title=self.data.title) else: self.title(title=self.data.name) # Error marker toggle if hide_error is None: hide_error = self.data.hide_error # Plot color if color is None: color = self.data.custom_color color = PlotUtilities.getValidColor(color) markersize = self._data.markersize # Draw non-standard markers l_width = markersize * 0.4 if marker == '-' or marker == '--': line = self.ax.plot(x, y, color=color, lw=l_width, marker='', linestyle=marker, label=self._title, zorder=10)[0] elif marker == 'vline': y_min = min(y)*9.0/10.0 if min(y) < 0 else 0.0 line = self.ax.vlines(x=x, ymin=y_min, ymax=y, color=color, linestyle='-', label=self._title, lw=l_width, zorder=1) elif marker == 'step': line = self.ax.step(x, y, color=color, marker='', linestyle='-', label=self._title, lw=l_width, zorder=1)[0] else: # plot data with/without errorbars if hide_error: line = ax.plot(x, y, marker=marker, color=color, markersize=markersize, linestyle='', label=self._title, picker=True) else: line = ax.errorbar(x, y, yerr=self._data.view.dy, xerr=None, capsize=2, linestyle='', barsabove=False, color=color, marker=marker, markersize=markersize, lolims=False, uplims=False, xlolims=False, xuplims=False, label=self._title, picker=True) # Update the list of data sets (plots) in chart self.plot_dict[self._data.id] = self.data # Now add the legend with some customizations. self.legend = ax.legend(loc='upper right', shadow=True) if self.legend: self.legend.set_picker(True) # Current labels for axes if self.y_label and not is_fit: ax.set_ylabel(self.y_label) if self.x_label and not is_fit: ax.set_xlabel(self.x_label) # Include scaling (log vs. linear) ax.set_xscale(self.xscale) ax.set_yscale(self.yscale) # define the ranges self.setRange = SetGraphRange(parent=self, x_range=self.ax.get_xlim(), y_range=self.ax.get_ylim()) # refresh canvas self.canvas.draw_idle() def createContextMenu(self): """ Define common context menu and associated actions for the MPL widget """ self.defaultContextMenu() # Separate plots self.addPlotsToContextMenu() # Additional menu items self.contextMenu.addSeparator() self.actionAddText = self.contextMenu.addAction("Add Text") self.actionRemoveText = self.contextMenu.addAction("Remove Text") self.contextMenu.addSeparator() self.actionChangeScale = self.contextMenu.addAction("Change Scale") self.contextMenu.addSeparator() self.actionSetGraphRange = self.contextMenu.addAction("Set Graph Range") self.actionResetGraphRange =\ self.contextMenu.addAction("Reset Graph Range") # Add the title change for dialogs #if self.parent: self.contextMenu.addSeparator() self.actionWindowTitle = self.contextMenu.addAction("Window Title") # Define the callbacks self.actionAddText.triggered.connect(self.onAddText) self.actionRemoveText.triggered.connect(self.onRemoveText) self.actionChangeScale.triggered.connect(self.onScaleChange) self.actionSetGraphRange.triggered.connect(self.onSetGraphRange) self.actionResetGraphRange.triggered.connect(self.onResetGraphRange) self.actionWindowTitle.triggered.connect(self.onWindowsTitle) def addPlotsToContextMenu(self): """ Adds operations on all plotted sets of data to the context menu """ for id in list(self.plot_dict.keys()): plot = self.plot_dict[id] name = plot.name if plot.name else plot.title plot_menu = self.contextMenu.addMenu('&%s' % name) self.actionDataInfo = plot_menu.addAction("&DataInfo") self.actionDataInfo.triggered.connect( functools.partial(self.onDataInfo, plot)) self.actionSavePointsAsFile = plot_menu.addAction("&Save Points as a File") self.actionSavePointsAsFile.triggered.connect( functools.partial(self.onSavePoints, plot)) plot_menu.addSeparator() if plot.id != 'fit': self.actionLinearFit = plot_menu.addAction('&Linear Fit') self.actionLinearFit.triggered.connect( functools.partial(self.onLinearFit, id)) plot_menu.addSeparator() self.actionRemovePlot = plot_menu.addAction("Remove") self.actionRemovePlot.triggered.connect( functools.partial(self.onRemovePlot, id)) if not plot.is_data: self.actionFreeze = plot_menu.addAction('&Freeze') self.actionFreeze.triggered.connect( functools.partial(self.onFreeze, id)) plot_menu.addSeparator() if plot.is_data: self.actionHideError = plot_menu.addAction("Hide Error Bar") if plot.dy is not None and plot.dy != []: if plot.hide_error: self.actionHideError.setText('Show Error Bar') else: self.actionHideError.setEnabled(False) self.actionHideError.triggered.connect( functools.partial(self.onToggleHideError, id)) plot_menu.addSeparator() self.actionModifyPlot = plot_menu.addAction('&Modify Plot Property') self.actionModifyPlot.triggered.connect( functools.partial(self.onModifyPlot, id)) def createContextMenuQuick(self): """ Define context menu and associated actions for the quickplot MPL widget """ # Default actions self.defaultContextMenu() # Additional actions self.actionToggleGrid = self.contextMenu.addAction("Toggle Grid On/Off") self.contextMenu.addSeparator() self.actionChangeScale = self.contextMenu.addAction("Change Scale") # Define the callbacks self.actionToggleGrid.triggered.connect(self.onGridToggle) self.actionChangeScale.triggered.connect(self.onScaleChange) def onScaleChange(self): """ Show a dialog allowing axes rescaling """ if self.properties.exec_() == QtWidgets.QDialog.Accepted: self.xLogLabel, self.yLogLabel = self.properties.getValues() self.data.xtransform = self.xLogLabel self.data.ytransform = self.yLogLabel self.xyTransform(self.xLogLabel, self.yLogLabel) def onAddText(self): """ Show a dialog allowing adding custom text to the chart """ if self.addText.exec_() != QtWidgets.QDialog.Accepted: return # Retrieve the new text, its font and color extra_text = self.addText.text() extra_font = self.addText.font() extra_color = self.addText.color() # Place the text on the screen at the click location pos_x = self.x_click pos_y = self.y_click # Map QFont onto MPL font mpl_font = FontProperties() mpl_font.set_size(int(extra_font.pointSize())) mpl_font.set_family(str(extra_font.family())) mpl_font.set_weight(int(extra_font.weight())) # MPL style names styles = ['normal', 'italic', 'oblique'] # QFont::Style maps directly onto the above try: mpl_font.set_style(styles[extra_font.style()]) except: pass if len(extra_text) > 0: new_text = self.ax.text(pos_x, pos_y, extra_text, color=extra_color, fontproperties=mpl_font) # Update the list of annotations self.textList.append(new_text) self.canvas.draw() def onRemoveText(self): """ Remove the most recently added text """ num_text = len(self.textList) if num_text < 1: return txt = self.textList[num_text - 1] text_remove = txt.get_text() try: txt.remove() except ValueError: # Text got already deleted somehow pass self.textList.remove(txt) self.canvas.draw_idle() def onSetGraphRange(self): """ Show a dialog allowing setting the chart ranges """ # min and max of data if self.setRange.exec_() == QtWidgets.QDialog.Accepted: x_range = self.setRange.xrange() y_range = self.setRange.yrange() if x_range is not None and y_range is not None: self.ax.set_xlim(x_range) self.ax.set_ylim(y_range) self.canvas.draw_idle() def onResetGraphRange(self): """ Resets the chart X and Y ranges to their original values """ x_range = (self.data.x.min(), self.data.x.max()) y_range = (self.data.y.min(), self.data.y.max()) if x_range is not None and y_range is not None: self.ax.set_xlim(x_range) self.ax.set_ylim(y_range) self.canvas.draw_idle() def onLinearFit(self, id): """ Creates and displays a simple linear fit for the selected plot """ selected_plot = self.plot_dict[id] maxrange = (min(selected_plot.x), max(selected_plot.x)) fitrange = self.ax.get_xlim() fit_dialog = LinearFit(parent=self, data=selected_plot, max_range=maxrange, fit_range=fitrange, xlabel=self.xLogLabel, ylabel=self.yLogLabel) fit_dialog.updatePlot.connect(self.onFitDisplay) if fit_dialog.exec_() == QtWidgets.QDialog.Accepted: return def replacePlot(self, id, new_plot): """ Remove plot 'id' and add 'new_plot' to the chart. This effectlvely refreshes the chart with changes to one of its plots """ self.removePlot(id) self.plot(data=new_plot) def onRemovePlot(self, id): """ Responds to the plot delete action """ self.removePlot(id) if len(self.plot_dict) == 0: # last plot: graph is empty must be the panel must be destroyed self.parent.close() def removePlot(self, id): """ Deletes the selected plot from the chart """ if id not in list(self.plot_dict.keys()): return selected_plot = self.plot_dict[id] plot_dict = copy.deepcopy(self.plot_dict) # Labels might have been changed xl = self.ax.xaxis.label.get_text() yl = self.ax.yaxis.label.get_text() self.plot_dict = {} plt.cla() self.ax.cla() for ids in plot_dict: if ids != id: self.plot(data=plot_dict[ids], hide_error=plot_dict[ids].hide_error) # Reset the labels self.ax.set_xlabel(xl) self.ax.set_ylabel(yl) self.canvas.draw() def onFreeze(self, id): """ Freezes the selected plot to a separate chart """ plot = self.plot_dict[id] self.manager.add_data(data_list=[plot]) def onModifyPlot(self, id): """ Allows for MPL modifications to the selected plot """ selected_plot = self.plot_dict[id] # Old style color - single integer for enum color # New style color - #hhhhhh color = selected_plot.custom_color # marker symbol and size marker = selected_plot.symbol marker_size = selected_plot.markersize # plot name legend = selected_plot.title plotPropertiesWidget = PlotProperties(self, color=color, marker=marker, marker_size=marker_size, legend=legend) if plotPropertiesWidget.exec_() == QtWidgets.QDialog.Accepted: # Update Data1d selected_plot.markersize = plotPropertiesWidget.markersize() selected_plot.custom_color = plotPropertiesWidget.color() selected_plot.symbol = plotPropertiesWidget.marker() selected_plot.title = plotPropertiesWidget.legend() # Redraw the plot self.replacePlot(id, selected_plot) def onToggleHideError(self, id): """ Toggles hide error/show error menu item """ selected_plot = self.plot_dict[id] current = selected_plot.hide_error # Flip the flag selected_plot.hide_error = not current plot_dict = copy.deepcopy(self.plot_dict) self.plot_dict = {} # Clean the canvas plt.cla() self.ax.cla() # Recreate the plots but reverse the error flag for the current for ids in plot_dict: if ids == id: self.plot(data=plot_dict[ids], hide_error=(not current)) else: self.plot(data=plot_dict[ids], hide_error=plot_dict[ids].hide_error) def xyTransform(self, xLabel="", yLabel=""): """ Transforms x and y in View and set the scale """ # Transform all the plots on the chart for id in list(self.plot_dict.keys()): current_plot = self.plot_dict[id] if current_plot.id == "fit": self.removePlot(id) continue new_xlabel, new_ylabel, xscale, yscale =\ GuiUtils.xyTransform(current_plot, xLabel, yLabel) self.xscale = xscale self.yscale = yscale # Plot the updated chart self.removePlot(id) # This assignment will wrap the label in Latex "$" self.xLabel = new_xlabel self.yLabel = new_ylabel # Directly overwrite the data to avoid label reassignment self._data = current_plot self.plot() pass # debug hook def onFitDisplay(self, fit_data): """ Add a linear fitting line to the chart """ # Create new data structure with fitting result tempx = fit_data[0] tempy = fit_data[1] self.fit_result.x = [] self.fit_result.y = [] self.fit_result.x = tempx self.fit_result.y = tempy self.fit_result.dx = None self.fit_result.dy = None #Remove another Fit, if exists self.removePlot("fit") self.fit_result.reset_view() #self.offset_graph() # Set plot properties self.fit_result.id = 'fit' self.fit_result.title = 'Fit' self.fit_result.name = 'Fit' # Plot the line self.plot(data=self.fit_result, marker='-', hide_error=True) def onMplMouseDown(self, event): """ Left button down and ready to drag """ # Check that the LEFT button was pressed if event.button != 1: return self.leftdown = True for text in self.textList: if text.contains(event)[0]: # If user has clicked on text self.selectedText = text return if event.inaxes is None: return try: self.x_click = float(event.xdata) # / size_x self.y_click = float(event.ydata) # / size_y except: self.position = None def onMplMouseUp(self, event): """ Set the data coordinates of the click """ self.x_click = event.xdata self.y_click = event.ydata # Check that the LEFT button was released if event.button == 1: self.leftdown = False self.selectedText = None #release the legend if self.gotLegend == 1: self.gotLegend = 0 def onMplMouseMotion(self, event): """ Check if the left button is press and the mouse in moving. Compute delta for x and y coordinates and then perform the drag """ if self.gotLegend == 1 and self.leftdown: self.onLegendMotion(event) return #if self.leftdown and self.selectedText is not None: if not self.leftdown or self.selectedText is None: return # User has clicked on text and is dragging if event.inaxes is None: # User has dragged outside of axes self.selectedText = None else: # Only move text if mouse is within axes self.selectedText.set_position((event.xdata, event.ydata)) self.canvas.draw_idle() return def onMplPick(self, event): """ On pick legend """ legend = self.legend if event.artist != legend: return # Get the box of the legend. bbox = self.legend.get_window_extent() # Get mouse coordinates at time of pick. self.mouse_x = event.mouseevent.x self.mouse_y = event.mouseevent.y # Get legend coordinates at time of pick. self.legend_x = bbox.xmin self.legend_y = bbox.ymin # Indicate we picked up the legend. self.gotLegend = 1 #self.legend.legendPatch.set_alpha(0.5) def onLegendMotion(self, event): """ On legend in motion """ ax = event.inaxes if ax is None: return # Event occurred inside a plotting area lo_x, hi_x = ax.get_xlim() lo_y, hi_y = ax.get_ylim() # How much the mouse moved. x = mouse_diff_x = self.mouse_x - event.x y = mouse_diff_y = self.mouse_y - event.y # Put back inside if x < lo_x: x = lo_x if x > hi_x: x = hi_x if y < lo_y: y = lo_y if y > hi_y: y = hi_y # Move the legend from its previous location by that same amount loc_in_canvas = self.legend_x - mouse_diff_x, \ self.legend_y - mouse_diff_y # Transform into legend coordinate system trans_axes = self.legend.parent.transAxes.inverted() loc_in_norm_axes = trans_axes.transform_point(loc_in_canvas) self.legend_pos_loc = tuple(loc_in_norm_axes) self.legend._loc = self.legend_pos_loc # self.canvas.draw() self.canvas.draw_idle() def onMplWheel(self, event): """ Process mouse wheel as zoom events """ ax = event.inaxes step = event.step if ax is not None: # Event occurred inside a plotting area lo, hi = ax.get_xlim() lo, hi = PlotUtilities.rescale(lo, hi, step, pt=event.xdata, scale=ax.get_xscale()) if not self.xscale == 'log' or lo > 0: self._scale_xlo = lo self._scale_xhi = hi ax.set_xlim((lo, hi)) lo, hi = ax.get_ylim() lo, hi = PlotUtilities.rescale(lo, hi, step, pt=event.ydata, scale=ax.get_yscale()) if not self.yscale == 'log' or lo > 0: self._scale_ylo = lo self._scale_yhi = hi ax.set_ylim((lo, hi)) else: # Check if zoom happens in the axes xdata, ydata = None, None x, y = event.x, event.y for ax in self.axes: insidex, _ = ax.xaxis.contains(event) if insidex: xdata, _ = ax.transAxes.inverted().transform_point((x, y)) insidey, _ = ax.yaxis.contains(event) if insidey: _, ydata = ax.transAxes.inverted().transform_point((x, y)) if xdata is not None: lo, hi = ax.get_xlim() lo, hi = PlotUtilities.rescale(lo, hi, step, bal=xdata, scale=ax.get_xscale()) if not self.xscale == 'log' or lo > 0: self._scale_xlo = lo self._scale_xhi = hi ax.set_xlim((lo, hi)) if ydata is not None: lo, hi = ax.get_ylim() lo, hi = PlotUtilities.rescale(lo, hi, step, bal=ydata, scale=ax.get_yscale()) if not self.yscale == 'log' or lo > 0: self._scale_ylo = lo self._scale_yhi = hi ax.set_ylim((lo, hi)) self.canvas.draw_idle() class Plotter(QtWidgets.QDialog, PlotterWidget): def __init__(self, parent=None, quickplot=False): QtWidgets.QDialog.__init__(self) PlotterWidget.__init__(self, parent=self, manager=parent, quickplot=quickplot) icon = QtGui.QIcon() icon.addPixmap(QtGui.QPixmap(":/res/ball.ico"), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.setWindowIcon(icon)