/usr/lib/python2.7/dist-packages/pyqtgraph/examples/ScatterPlot.py is in python-pyqtgraph 0.9.10-5.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 | # -*- coding: utf-8 -*-
"""
Example demonstrating a variety of scatter plot features.
"""
## Add path to library (just for examples; you do not need this)
import initExample
from pyqtgraph.Qt import QtGui, QtCore
import pyqtgraph as pg
import numpy as np
app = QtGui.QApplication([])
mw = QtGui.QMainWindow()
mw.resize(800,800)
view = pg.GraphicsLayoutWidget() ## GraphicsView with GraphicsLayout inserted by default
mw.setCentralWidget(view)
mw.show()
mw.setWindowTitle('pyqtgraph example: ScatterPlot')
## create four areas to add plots
w1 = view.addPlot()
w2 = view.addViewBox()
w2.setAspectLocked(True)
view.nextRow()
w3 = view.addPlot()
w4 = view.addPlot()
print("Generating data, this takes a few seconds...")
## There are a few different ways we can draw scatter plots; each is optimized for different types of data:
## 1) All spots identical and transform-invariant (top-left plot).
## In this case we can get a huge performance boost by pre-rendering the spot
## image and just drawing that image repeatedly.
n = 300
s1 = pg.ScatterPlotItem(size=10, pen=pg.mkPen(None), brush=pg.mkBrush(255, 255, 255, 120))
pos = np.random.normal(size=(2,n), scale=1e-5)
spots = [{'pos': pos[:,i], 'data': 1} for i in range(n)] + [{'pos': [0,0], 'data': 1}]
s1.addPoints(spots)
w1.addItem(s1)
## Make all plots clickable
lastClicked = []
def clicked(plot, points):
global lastClicked
for p in lastClicked:
p.resetPen()
print("clicked points", points)
for p in points:
p.setPen('b', width=2)
lastClicked = points
s1.sigClicked.connect(clicked)
## 2) Spots are transform-invariant, but not identical (top-right plot).
## In this case, drawing is almsot as fast as 1), but there is more startup
## overhead and memory usage since each spot generates its own pre-rendered
## image.
s2 = pg.ScatterPlotItem(size=10, pen=pg.mkPen('w'), pxMode=True)
pos = np.random.normal(size=(2,n), scale=1e-5)
spots = [{'pos': pos[:,i], 'data': 1, 'brush':pg.intColor(i, n), 'symbol': i%5, 'size': 5+i/10.} for i in range(n)]
s2.addPoints(spots)
w2.addItem(s2)
s2.sigClicked.connect(clicked)
## 3) Spots are not transform-invariant, not identical (bottom-left).
## This is the slowest case, since all spots must be completely re-drawn
## every time because their apparent transformation may have changed.
s3 = pg.ScatterPlotItem(pxMode=False) ## Set pxMode=False to allow spots to transform with the view
spots3 = []
for i in range(10):
for j in range(10):
spots3.append({'pos': (1e-6*i, 1e-6*j), 'size': 1e-6, 'pen': {'color': 'w', 'width': 2}, 'brush':pg.intColor(i*10+j, 100)})
s3.addPoints(spots3)
w3.addItem(s3)
s3.sigClicked.connect(clicked)
## Test performance of large scatterplots
s4 = pg.ScatterPlotItem(size=10, pen=pg.mkPen(None), brush=pg.mkBrush(255, 255, 255, 20))
pos = np.random.normal(size=(2,10000), scale=1e-9)
s4.addPoints(x=pos[0], y=pos[1])
w4.addItem(s4)
s4.sigClicked.connect(clicked)
## Start Qt event loop unless running in interactive mode.
if __name__ == '__main__':
import sys
if (sys.flags.interactive != 1) or not hasattr(QtCore, 'PYQT_VERSION'):
QtGui.QApplication.instance().exec_()
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