Source code for sas.qtgui.Plotting.Plotter
from PyQt5 import QtGui
from PyQt5 import QtWidgets
import functools
import copy
import sys
import matplotlib as mpl
import numpy as np
from matplotlib.font_manager import FontProperties
from packaging import version
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.Binder import BindArtist
from sas.qtgui.Plotting.SetGraphRange import SetGraphRange
from sas.qtgui.Plotting.LinearFit import LinearFit
from sas.qtgui.Plotting.QRangeSlider import QRangeSlider
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
[docs]def _legendResize(width, parent):
"""
resize factor for the legend, based on total canvas width
"""
# The factor 4.0 was chosen to look similar in size/ratio to what we had in 4.x
if not hasattr(parent.parent, "manager"):
return None
if parent is None or parent.parent is None or parent.parent.manager is None \
or parent.parent.manager.parent is None or parent.parent.manager.parent._parent is None:
return None
screen_width = parent.parent.manager.parent._parent.screen_width
screen_height = parent.parent.manager.parent._parent.screen_height
screen_factor = screen_width * screen_height
if sys.platform == 'win32':
factor = 4
denomintor = 100
scale_factor = width/denomintor + factor
else:
#Function inferred based on tests for several resolutions
scale_factor = (3e-6*screen_factor + 1)*width/640
return scale_factor
[docs]class PlotterWidget(PlotterBase):
"""
1D Plot widget for use with a QDialog
"""
[docs] 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 = {}
# Dictionaty of {plot_id:line}
self.plot_lines = {}
# Dictionary of slider interactors {plot_id:interactor}
self.sliders = {}
# 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 = 17
self.fit_result.name = "Fit"
# Range setter - used to store active SetGraphRange instance
# Initialize to None so graph range is only stored once data is present.
self.setRange = None
# Connections used to prevent conflict between built in mpl toolbar actions and SasView context menu actions.
# Toolbar actions only needed in 1D plots. 2D plots have no such conflicts.
self.toolbar._actions['home'].triggered.connect(self._home)
self.toolbar._actions['back'].triggered.connect(self._back)
self.toolbar._actions['forward'].triggered.connect(self._forward)
self.toolbar._actions['pan'].triggered.connect(self._pan)
self.toolbar._actions['zoom'].triggered.connect(self._zoom)
self.legendVisible = True
parent.geometry()
@property
def data(self):
return self._data
@data.setter
def data(self, value):
""" data setter """
#self._data = value
self._data.append(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)
[docs] def plot(self, data=None, color=None, marker=None, hide_error=False, transform=True):
"""
Add a new plot of self._data to the chart.
"""
if data is None:
# just refresh
self.canvas.draw_idle()
return
# Data1D
if isinstance(data, Data1D):
self.data.append(data)
is_fit = (data.id=="fit")
if not is_fit:
# make sure we have some function to operate on
if data.xtransform is None:
if data.isSesans:
data.xtransform='x'
else:
data.xtransform = 'log10(x)'
if data.ytransform is None:
if data.isSesans:
data.ytransform='y'
else:
data.ytransform = 'log10(y)'
#Added condition to Dmax explorer from P(r) perspective
if data._xaxis == 'D_{max}':
self.xscale = 'linear'
# Transform data if required.
if transform and (data.xtransform is not None or data.ytransform is not None):
self.xLabel, self.yLabel, xscale, yscale = \
GuiUtils.xyTransform(data, data.xtransform, data.ytransform)
if xscale != 'log' and xscale != self.xscale:
self.xscale = xscale
if yscale != 'log' and yscale != self.yscale:
self.yscale = yscale
# Redefine the Scale properties dialog
self.properties = ScaleProperties(self,
init_scale_x=data.xtransform,
init_scale_y=data.ytransform)
# Shortcuts
ax = self.ax
x = data.view.x
y = data.view.y
label = data.name # was self._title
# 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 = 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 data.title:
self.title(title=data.title)
else:
self.title(title=data.name)
# Error marker toggle
if hide_error is None:
hide_error = data.hide_error
# Plot color
if color is None:
color = data.custom_color
color = PlotUtilities.getValidColor(color)
data.custom_color = color
markersize = data.markersize
# Include scaling (log vs. linear)
if version.parse(mpl.__version__) < version.parse("3.3"):
ax.set_xscale(self.xscale, nonposx='clip') if self.xscale != 'linear' else self.ax.set_xscale(self.xscale)
ax.set_yscale(self.yscale, nonposy='clip') if self.yscale != 'linear' else self.ax.set_yscale(self.yscale)
else:
ax.set_xscale(self.xscale, nonpositive='clip') if self.xscale != 'linear' else self.ax.set_xscale(self.xscale)
ax.set_yscale(self.yscale, nonpositive='clip') if self.yscale != 'linear' else self.ax.set_yscale(self.yscale)
# 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=label, 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=label, lw=l_width, zorder=1)
elif marker == 'step':
line = self.ax.step(x, y, color=color, marker='', linestyle='-',
label=label, 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=label, picker=True)
else:
dy = data.view.dy
# Convert tuple (lo,hi) to array [(x-lo),(hi-x)]
if dy is not None and type(dy) == type(()):
dy = np.vstack((y - dy[0], dy[1] - y)).transpose()
line = ax.errorbar(x, y,
yerr=dy,
xerr=None,
capsize=2, linestyle='',
barsabove=False,
color=color,
marker=marker,
markersize=markersize,
lolims=False, uplims=False,
xlolims=False, xuplims=False,
label=label,
zorder=1,
picker=True)
# Display horizontal axis if requested
if data.show_yzero:
ax.axhline(color='black', linewidth=1)
# Update the list of data sets (plots) in chart
self.plot_dict[data.name] = data
self.plot_lines[data.name] = line
# Now add the legend with some customizations.
if self.showLegend:
width=_legendResize(self.canvas.size().width(), self.parent)
if width is not None:
self.legend = ax.legend(loc='upper right', shadow=True, prop={'size':width})
else:
self.legend = ax.legend(loc='upper right', shadow=True)
if self.legend:
self.legend.set_picker(True)
self.legend.set_visible(self.legendVisible)
# Current labels for axes
if self.yLabel and not is_fit:
ax.set_ylabel(self.yLabel)
if self.xLabel and not is_fit:
ax.set_xlabel(self.xLabel)
# define the ranges
if isinstance(self.setRange, SetGraphRange) and self.setRange.rangeModified:
# Assume the range has changed and retain the current and default ranges for future use
modified = self.setRange.rangeModified
default_x_range = self.setRange.defaultXRange
default_y_range = self.setRange.defaultYRange
x_range = self.setRange.xrange()
y_range = self.setRange.yrange()
else:
# Use default ranges given by matplotlib
x_range = default_x_range = self.ax.get_xlim()
y_range = default_y_range = self.ax.get_ylim()
modified = False
self.setRange = SetGraphRange(parent=self, x_range=x_range, y_range=y_range)
self.setRange.rangeModified = modified
self.setRange.defaultXRange = default_x_range
self.setRange.defaultYRange = default_y_range
# Go to expected range
self.ax.set_xbound(x_range[0], x_range[1])
self.ax.set_ybound(y_range[0], y_range[1])
# Add q-range sliders
if data.show_q_range_sliders:
# Grab existing slider if it exists
existing_slider = self.sliders.pop(data.name, None)
sliders = QRangeSlider(self, self.ax, data=data)
# New sliders should be visible but existing sliders that were turned off should remain off
if existing_slider is not None and not existing_slider.is_visible:
sliders.toggle()
self.sliders[data.name] = sliders
# refresh canvas
self.canvas.draw_idle()
[docs] def onResize(self, event):
"""
Resize the legend window/font on canvas resize
"""
if not self.showLegend or not self.legendVisible:
return
width = _legendResize(event.width, self.parent)
# resize the legend to follow the canvas width.
if width is not None:
self.legend.prop.set_size(width)
[docs] 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()
if self.show_legend:
self.actionToggleLegend = self.contextMenu.addAction("Toggle Legend")
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
self.contextMenu.addSeparator()
self.actionWindowTitle = self.contextMenu.addAction("Window Title")
self.contextMenu.addSeparator()
self.actionToggleMenu = self.contextMenu.addAction("Toggle Navigation Menu")
# 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)
self.actionToggleMenu.triggered.connect(self.onToggleMenu)
if self.show_legend:
self.actionToggleLegend.triggered.connect(self.onToggleLegend)
[docs] 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 plot.show_q_range_sliders:
self.actionToggleSlider = plot_menu.addAction("Toggle Q-Range Slider Visibility")
self.actionToggleSlider.triggered.connect(
functools.partial(self.toggleSlider, 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))
[docs] 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)
if self.show_legend:
self.actionToggleLegend = self.contextMenu.addAction("Toggle Legend")
self.actionToggleLegend.triggered.connect(self.onToggleLegend)
[docs] def onScaleChange(self):
"""
Show a dialog allowing axes rescaling
"""
if self.properties.exec_() == QtWidgets.QDialog.Accepted:
self.xLogLabel, self.yLogLabel = self.properties.getValues()
for d in self.data:
d.xtransform = self.xLogLabel
d.ytransform = self.yLogLabel
self.xyTransform(self.xLogLabel, self.yLogLabel)
[docs] 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_idle()
[docs] 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()
[docs] def _zoom_pan_handler(self, event):
if not self.setRange:
self.setRange = SetGraphRange(parent=self)
x_range = self.ax.get_xlim()
y_range = self.ax.get_ylim()
self.setRange.txtXmin.setText(str(x_range[0]))
self.setRange.txtXmax.setText(str(x_range[1]))
self.setRange.txtYmin.setText(str(y_range[0]))
self.setRange.txtYmax.setText(str(y_range[1]))
self._setGraphRange()
[docs] def _zoom_handler(self, event):
"""
Explicitly call toolbar method to ensure range is changed. In MPL 2.2, local events take precedence over the
toolbar events, so the range isn't zoomed until after _zoom_pan_handler is run.
"""
self.toolbar.release_zoom(event)
self._zoom_pan_handler(event)
[docs] def _pan_handler(self, event):
"""
Explicitly call toolbar method to ensure range is changed. In MPL 2.2, local events take precedence over the
toolbar events, so the range isn't panned until after _zoom_pan_handler is run.
"""
self.toolbar.release_pan(event)
self._zoom_pan_handler(event)
[docs] def _back(self, event):
"""
Catch back button click events
"""
self.toolbar.back()
self._zoom_pan_handler(event)
[docs] def _forward(self, event):
"""
Catch forward button click events
"""
self.toolbar.forward()
self._zoom_pan_handler(event)
[docs] def _pan(self, event):
"""
Catch pan button click events
"""
self.canvas.mpl_connect('button_release_event', self._pan_handler)
[docs] def _zoom(self, event):
"""
Catch zoom button click events
"""
self.canvas.mpl_connect('button_release_event', self._zoom_handler)
[docs] def onSetGraphRange(self):
"""
Show a dialog allowing setting the chart ranges
"""
# min and max of data
if self.setRange.exec_() == QtWidgets.QDialog.Accepted:
self._setGraphRange()
[docs] def _setGraphRange(self):
x_range = self.setRange.xrange()
y_range = self.setRange.yrange()
if x_range is not None and y_range is not None:
self.setRange.rangeModified = (self.setRange.defaultXRange != x_range
or self.setRange.defaultYRange != y_range)
self.ax.set_xlim(x_range)
self.ax.set_ylim(y_range)
self.canvas.draw_idle()
[docs] def onResetGraphRange(self):
"""
Resets the chart X and Y ranges to their original values
"""
# Clear graph and plot everything again
self.ax.cla()
self.setRange = None
for ids in self.plot_dict:
# Color, marker, etc. are stored in each data set and will be used to restore visual changes on replot
self.plot(data=self.plot_dict[ids], hide_error=self.plot_dict[ids].hide_error)
# Redraw
self.canvas.draw_idle()
[docs] 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
[docs] def replacePlot(self, id, new_plot, retain_dimensions=True):
"""
Remove plot 'id' and add 'new_plot' to the chart.
This effectlvely refreshes the chart with changes to one of its plots
"""
# Pull the current transform settings from the old plot
selected_plot = self.plot_dict[id]
new_plot.xtransform = selected_plot.xtransform
new_plot.ytransform = selected_plot.ytransform
#Adding few properties ftom ModifyPlot to preserve them in future changes
new_plot.title = selected_plot.title
new_plot.custom_color = selected_plot.custom_color
new_plot.markersize = selected_plot.markersize
new_plot.symbol = selected_plot.symbol
self.removePlot(id)
self.plot(data=new_plot)
# Apply user-defined plot range
if retain_dimensions or self.setRange.rangeModified:
x_bounds = self.setRange.xrange()
y_bounds = self.setRange.yrange()
self.ax.set_xbound(x_bounds[0], x_bounds[1])
self.ax.set_ybound(y_bounds[0], y_bounds[1])
[docs] 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()
[docs] def removePlot(self, id):
"""
Deletes the selected plot from the chart
"""
if id not in list(self.plot_dict.keys()):
return
# Remove the plot from the list of plots
self.plot_dict.pop(id)
# Labels might have been changed
xl = self.ax.xaxis.label.get_text()
yl = self.ax.yaxis.label.get_text()
self.ax.cla()
# Recreate Artist bindings after plot clear
self.connect = BindArtist(self.figure)
for ids in self.plot_dict:
if ids != id:
self.plot(data=self.plot_dict[ids], hide_error=self.plot_dict[ids].hide_error)
# Reset the labels
self.ax.set_xlabel(xl)
self.ax.set_ylabel(yl)
self.canvas.draw_idle()
[docs] def toggleSlider(self, id):
if id in self.sliders.keys():
slider = self.sliders.get(id)
slider.toggle()
[docs] def onFreeze(self, id):
"""
Freezes the selected plot to a separate chart
"""
plot = self.plot_dict[id]
plot = copy.deepcopy(plot)
self.manager.add_data(data_list={id:plot})
self.manager.freezeDataToItem(plot)
[docs] 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.name
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.name = plotPropertiesWidget.legend()
# Redraw the plot
self.replacePlot(id, selected_plot)
[docs] 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
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)
[docs] 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
self.plot(data=current_plot, transform=False)
pass # debug hook
[docs] 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
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'
if self.fit_result.name in self.plot_dict.keys():
# Replace an existing Fit and ensure the plot range is not reset
self.replacePlot("Fit", new_plot=self.fit_result)
else:
# Otherwise, Plot a new line
self.plot(data=self.fit_result, marker='-', hide_error=True)
[docs] def onToggleLegend(self):
"""
Toggle legend visibility in the chart
"""
if not self.showLegend:
return
#visible = self.legend.get_visible()
self.legendVisible = not self.legendVisible
self.legend.set_visible(self.legendVisible)
self.canvas.draw_idle()
[docs] 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
x_str = GuiUtils.formatNumber(self.x_click)
y_str = GuiUtils.formatNumber(self.y_click)
coord_str = "x: {}, y: {}".format(x_str, y_str)
self.manager.communicator.statusBarUpdateSignal.emit(coord_str)
[docs] 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
[docs] 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
[docs] 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)
[docs] 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_idle()
[docs] 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()
[docs]class Plotter(QtWidgets.QDialog, PlotterWidget):
[docs] 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)