Hi,
Sure, here's a working example. Obviously a very simple plot layout, but
you can fancy it up as required:
test_matplotlib.py
#!/usr/bin/env python3
import sys
from PyQt5 import QtCore, QtWidgets, uic
from PyQt5.QtWidgets import QFileDialog
import numpy as np
import pyqtgraph as pg
import test_matplotlib_plots as plots
class PlotWindow(QtWidgets.QMainWindow):
def __init__(self):
super().__init__()
pg.setConfigOptions(antialias=True)
# Load GUI layout from .ui file (named same as this source file,
but with .ui extension)
uic.loadUi(__file__.split('.py')[0] + '.ui', self)
# Finish up the GUI and connections
self.statusbar.showMessage("Welcome!")
self.actionExport.triggered.connect(self.export_plot)
self.plot = self.glw.addPlot()
# Make some test data
self.xcoords = np.arange(0, 100, 3)
self.data = 50.0*np.random.random((5, self.xcoords.shape[0]))
self.data += 1.0 + 2.0*self.xcoords
# Plot test data
self.errorbars = pg.ErrorBarItem(x=self.xcoords, y=np.mean(self.data
, axis=0), height=np.std(self.data, axis=0), beam=1)
self.plot.addItem(self.errorbars)
self.plot.plot(x=self.xcoords, y=np.mean(self.data, axis=0), symbol=
"o")
self.plot.setLabels(bottom="Time, (s)", left="Intensity (a.u.)")
def export_plot(self):
self.statusbar.showMessage('Exporting plot...')
filename, _ = QFileDialog.getSaveFileName(self, "Export As...", "",
"PDF
Image (*.pdf);;All Files (*)")
if filename:
# Remove any duplicated file extensions that Qt might add
filename = filename.partition(".pdf")[0] + ".pdf"
plots.testdata_image(self.xcoords, self.data, filename, label="Test
data", xlim=self.plot.viewRange()[0], ylim=self.plot.viewRange()[1])
self.statusbar.showMessage("Data saved to {}.".format(filename))
else:
self.statusbar.showMessage("Export cancelled.")
def main():
app = QtWidgets.QApplication(sys.argv)
mainwindow = PlotWindow()
mainwindow.show()
sys.exit(app.exec_())
if __name__ == '__main__':
main()
test_matplotlib_plots.py
import numpy as np
import matplotlib.pyplot as plt
from cycler import cycler
from matplotlib.ticker import AutoMinorLocator
def testdata_figure(xcoords, data, **kwargs):
"""Plot data, returning a matplotlib figure object."""
args = {"xlim": None,
"ylim": None,
"label": "",
"xlabel": "Time (s)",
"ylabel": "Intensity (a.u.)",
"ccycle": ['#0000a0', '#a00000', '#00a000', '#000000', '#a000a0'
, '#a0a000', '#00a0a0', '#808080'],
"figsize": (5.0, 3.75),
"legendloc": "best"}
args.update(kwargs)
# Configure figure, axes
fig, ax = plt.subplots(figsize=args["figsize"])
ax.set_prop_cycle(cycler('color', args["ccycle"]))
ax.set_xlabel(args["xlabel"])
ax.set_ylabel(args["ylabel"])
if args["xlim"] is not None:
ax.set_xlim(args["xlim"])
if args["ylim"] is not None:
ax.set_ylim(args["ylim"])
ax.xaxis.set_minor_locator(AutoMinorLocator(2))
ax.yaxis.set_minor_locator(AutoMinorLocator(2))
ax.errorbar(xcoords, np.mean(data, axis=0), yerr=np.std(data, axis=0),
capsize=3, label=args["label"])
ax.legend(fontsize='medium', frameon=False, loc=args["legendloc"])
plt.tight_layout()
return fig
def testdata_image(xcoords, data, output_filename, **kwargs):
"""Plot data to an image file."""
args = {"dpi": 300}
args.update(kwargs)
fig = testdata_figure(xcoords, data, **kwargs)
fig.savefig(output_filename, dpi=args["dpi"])
plt.close(fig)
test_matplotlib.ui
<?xml version="1.0" encoding="UTF-8"?>
<ui version="4.0">
<class>MainWindow</class>
<widget class="QMainWindow" name="MainWindow">
<property name="geometry">
<rect>
<x>0</x>
<y>0</y>
<width>800</width>
<height>600</height>
</rect>
</property>
<property name="windowTitle">
<string>Test MPL Export</string>
</property>
<widget class="QWidget" name="centralwidget">
<layout class="QHBoxLayout" name="horizontalLayout">
<item>
<widget class="GraphicsLayoutWidget" name="glw"/>
</item>
</layout>
</widget>
<widget class="QMenuBar" name="menubar">
<property name="geometry">
<rect>
<x>0</x>
<y>0</y>
<width>800</width>
<height>19</height>
</rect>
</property>
<widget class="QMenu" name="menuFile">
<property name="title">
<string>&File</string>
</property>
<addaction name="actionExport"/>
<addaction name="separator"/>
<addaction name="actionExit"/>
</widget>
<addaction name="menuFile"/>
</widget>
<widget class="QStatusBar" name="statusbar"/>
<action name="actionExport">
<property name="text">
<string>&Export plot...</string>
</property>
</action>
<action name="actionExit">
<property name="text">
<string>E&xit</string>
</property>
</action>
</widget>
<customwidgets>
<customwidget>
<class>GraphicsLayoutWidget</class>
<extends>QGraphicsView</extends>
<header>pyqtgraph</header>
</customwidget>
</customwidgets>
<resources/>
<connections>
<connection>
<sender>actionExit</sender>
<signal>triggered()</signal>
<receiver>MainWindow</receiver>
<slot>close()</slot>
<hints>
<hint type="sourcelabel">
<x>-1</x>
<y>-1</y>
</hint>
<hint type="destinationlabel">
<x>399</x>
<y>299</y>
</hint>
</hints>
</connection>
</connections>
</ui>
Patrick
On Friday, 18 January 2019 01:16:48 UTC+10:30, Trifon Trifonov wrote:
>
>
> Dear Patrick,
>
> Thank you for your answer! Can you please provide one very minimal example
> how you did it!
> It will help me to accelerate a bit.
>
>
>
> Thanks!
> Trifon
>
>
> On Thursday, January 17, 2019 at 5:14:40 AM UTC+1, Patrick wrote:
>>
>> Hi,
>>
>> If you have a handle to the pyqtgraph ErrorBarItem, then you can extract
>> the error bar lengths from the opts dictionary (
>> http://www.pyqtgraph.org/documentation/_modules/pyqtgraph/graphicsItems/ErrorBarItem.html#ErrorBarItem).
>>
>> You might need to do a bit of code since opts["height"] is supposed to
>> override opts["top"] and opts["bottom"] etc.
>>
>> This probably isn't helpful, but in my code base I have written a
>> separate "plots.py" with various matplotlib routines to generate custom
>> plot figures/files since it is simple enough, gives much more
>> flexible/customisable plots, and bypasses limitations of pyqtgraph exports.
>>
>> Patrick
>>
>>
>>
--
You received this message because you are subscribed to the Google Groups
"pyqtgraph" group.
To unsubscribe from this group and stop receiving emails from it, send an email
to [email protected].
To view this discussion on the web visit
https://groups.google.com/d/msgid/pyqtgraph/9529a49e-6a5a-43b4-93bc-7b7e95dc18be%40googlegroups.com.
For more options, visit https://groups.google.com/d/optout.
