2012-03-02 02:55:32 +00:00
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# -*- coding: utf-8 -*-
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2013-02-25 04:09:03 +00:00
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"""
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Example demonstrating a variety of scatter plot features.
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"""
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2012-03-02 02:55:32 +00:00
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## Add path to library (just for examples; you do not need this)
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2013-01-12 01:21:11 +00:00
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import initExample
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2012-03-02 02:55:32 +00:00
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2012-03-02 03:53:52 +00:00
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from pyqtgraph.Qt import QtGui, QtCore
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2012-03-02 02:55:32 +00:00
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import pyqtgraph as pg
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import numpy as np
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app = QtGui.QApplication([])
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mw = QtGui.QMainWindow()
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mw.resize(800,800)
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view = pg.GraphicsLayoutWidget() ## GraphicsView with GraphicsLayout inserted by default
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mw.setCentralWidget(view)
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mw.show()
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2013-02-25 04:09:03 +00:00
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mw.setWindowTitle('pyqtgraph example: ScatterPlot')
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2012-03-02 02:55:32 +00:00
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## create four areas to add plots
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w1 = view.addPlot()
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w2 = view.addViewBox()
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w2.setAspectLocked(True)
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view.nextRow()
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w3 = view.addPlot()
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w4 = view.addPlot()
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2014-01-17 01:34:05 +00:00
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print("Generating data, this takes a few seconds...")
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2012-03-02 02:55:32 +00:00
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## There are a few different ways we can draw scatter plots; each is optimized for different types of data:
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## 1) All spots identical and transform-invariant (top-left plot).
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## In this case we can get a huge performance boost by pre-rendering the spot
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2012-05-11 03:37:07 +00:00
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## image and just drawing that image repeatedly.
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2012-03-02 02:55:32 +00:00
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n = 300
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2012-05-11 03:37:07 +00:00
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s1 = pg.ScatterPlotItem(size=10, pen=pg.mkPen(None), brush=pg.mkBrush(255, 255, 255, 120))
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2012-03-02 02:55:32 +00:00
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pos = np.random.normal(size=(2,n), scale=1e-5)
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spots = [{'pos': pos[:,i], 'data': 1} for i in range(n)] + [{'pos': [0,0], 'data': 1}]
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s1.addPoints(spots)
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w1.addItem(s1)
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2012-05-11 03:37:07 +00:00
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## Make all plots clickable
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lastClicked = []
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2012-03-02 02:55:32 +00:00
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def clicked(plot, points):
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2012-05-11 03:37:07 +00:00
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global lastClicked
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for p in lastClicked:
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p.resetPen()
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2012-05-11 22:05:41 +00:00
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print("clicked points", points)
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2012-05-11 03:37:07 +00:00
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for p in points:
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p.setPen('b', width=2)
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lastClicked = points
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2012-03-02 02:55:32 +00:00
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s1.sigClicked.connect(clicked)
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## 2) Spots are transform-invariant, but not identical (top-right plot).
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2013-09-20 08:46:33 +00:00
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## In this case, drawing is almsot as fast as 1), but there is more startup
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## overhead and memory usage since each spot generates its own pre-rendered
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## image.
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2012-03-02 02:55:32 +00:00
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s2 = pg.ScatterPlotItem(size=10, pen=pg.mkPen('w'), pxMode=True)
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pos = np.random.normal(size=(2,n), scale=1e-5)
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2012-05-11 22:05:41 +00:00
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spots = [{'pos': pos[:,i], 'data': 1, 'brush':pg.intColor(i, n), 'symbol': i%5, 'size': 5+i/10.} for i in range(n)]
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2012-03-02 02:55:32 +00:00
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s2.addPoints(spots)
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w2.addItem(s2)
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s2.sigClicked.connect(clicked)
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## 3) Spots are not transform-invariant, not identical (bottom-left).
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## This is the slowest case, since all spots must be completely re-drawn
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## every time because their apparent transformation may have changed.
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s3 = pg.ScatterPlotItem(pxMode=False) ## Set pxMode=False to allow spots to transform with the view
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spots3 = []
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for i in range(10):
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for j in range(10):
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2013-02-13 02:44:42 +00:00
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spots3.append({'pos': (1e-6*i, 1e-6*j), 'size': 1e-6, 'pen': {'color': 'w', 'width': 2}, 'brush':pg.intColor(i*10+j, 100)})
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2012-03-02 02:55:32 +00:00
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s3.addPoints(spots3)
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w3.addItem(s3)
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s3.sigClicked.connect(clicked)
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2012-05-11 03:37:07 +00:00
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## Test performance of large scatterplots
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2012-03-02 02:55:32 +00:00
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2012-05-11 03:37:07 +00:00
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s4 = pg.ScatterPlotItem(size=10, pen=pg.mkPen(None), brush=pg.mkBrush(255, 255, 255, 20))
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2012-03-02 02:55:32 +00:00
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pos = np.random.normal(size=(2,10000), scale=1e-9)
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s4.addPoints(x=pos[0], y=pos[1])
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w4.addItem(s4)
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2012-05-11 03:37:07 +00:00
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s4.sigClicked.connect(clicked)
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2012-03-02 02:55:32 +00:00
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## Start Qt event loop unless running in interactive mode.
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2012-12-05 05:25:45 +00:00
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if __name__ == '__main__':
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import sys
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if (sys.flags.interactive != 1) or not hasattr(QtCore, 'PYQT_VERSION'):
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QtGui.QApplication.instance().exec_()
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2012-03-02 02:55:32 +00:00
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