/usr/lib/python2.7/dist-packages/pyqtgraph/examples/RemoteSpeedTest.py is in python-pyqtgraph 0.9.10-5.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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"""
This example demonstrates the use of RemoteGraphicsView to improve performance in
applications with heavy load. It works by starting a second process to handle
all graphics rendering, thus freeing up the main process to do its work.
In this example, the update() function is very expensive and is called frequently.
After update() generates a new set of data, it can either plot directly to a local
plot (bottom) or remotely via a RemoteGraphicsView (top), allowing speed comparison
between the two cases. IF you have a multi-core CPU, it should be obvious that the
remote case is much faster.
"""
import initExample ## Add path to library (just for examples; you do not need this)
from pyqtgraph.Qt import QtGui, QtCore
import pyqtgraph as pg
import pyqtgraph.widgets.RemoteGraphicsView
import numpy as np
app = pg.mkQApp()
view = pg.widgets.RemoteGraphicsView.RemoteGraphicsView()
pg.setConfigOptions(antialias=True) ## this will be expensive for the local plot
view.pg.setConfigOptions(antialias=True) ## prettier plots at no cost to the main process!
view.setWindowTitle('pyqtgraph example: RemoteSpeedTest')
label = QtGui.QLabel()
rcheck = QtGui.QCheckBox('plot remote')
rcheck.setChecked(True)
lcheck = QtGui.QCheckBox('plot local')
lplt = pg.PlotWidget()
layout = pg.LayoutWidget()
layout.addWidget(rcheck)
layout.addWidget(lcheck)
layout.addWidget(label)
layout.addWidget(view, row=1, col=0, colspan=3)
layout.addWidget(lplt, row=2, col=0, colspan=3)
layout.resize(800,800)
layout.show()
## Create a PlotItem in the remote process that will be displayed locally
rplt = view.pg.PlotItem()
rplt._setProxyOptions(deferGetattr=True) ## speeds up access to rplt.plot
view.setCentralItem(rplt)
lastUpdate = pg.ptime.time()
avgFps = 0.0
def update():
global check, label, plt, lastUpdate, avgFps, rpltfunc
data = np.random.normal(size=(10000,50)).sum(axis=1)
data += 5 * np.sin(np.linspace(0, 10, data.shape[0]))
if rcheck.isChecked():
rplt.plot(data, clear=True, _callSync='off') ## We do not expect a return value.
## By turning off callSync, we tell
## the proxy that it does not need to
## wait for a reply from the remote
## process.
if lcheck.isChecked():
lplt.plot(data, clear=True)
now = pg.ptime.time()
fps = 1.0 / (now - lastUpdate)
lastUpdate = now
avgFps = avgFps * 0.8 + fps * 0.2
label.setText("Generating %0.2f fps" % avgFps)
timer = QtCore.QTimer()
timer.timeout.connect(update)
timer.start(0)
## Start Qt event loop unless running in interactive mode or using pyside.
if __name__ == '__main__':
import sys
if (sys.flags.interactive != 1) or not hasattr(QtCore, 'PYQT_VERSION'):
QtGui.QApplication.instance().exec_()
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