72 lines
1.8 KiB
Python
72 lines
1.8 KiB
Python
#!/usr/bin/python
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# -*- coding: utf-8 -*-
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## Add path to library (just for examples; you do not need this)
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import sys, os
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..'))
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from PyQt4 import QtGui, QtCore
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import numpy as np
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import pyqtgraph as pg
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app = QtGui.QApplication([])
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mw = QtGui.QMainWindow()
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cw = QtGui.QWidget()
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mw.setCentralWidget(cw)
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l = QtGui.QVBoxLayout()
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cw.setLayout(l)
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pw = pg.PlotWidget(name='Plot1') ## giving the plots names allows us to link their axes together
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l.addWidget(pw)
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pw2 = pg.PlotWidget(name='Plot2')
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l.addWidget(pw2)
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pw3 = pg.PlotWidget()
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l.addWidget(pw3)
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mw.show()
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## Create an empty plot curve to be filled later, set its pen
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p1 = pw.plot()
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p1.setPen((200,200,100))
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## Add in some extra graphics
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rect = QtGui.QGraphicsRectItem(QtCore.QRectF(0, 0, 1, 1))
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rect.setPen(QtGui.QPen(QtGui.QColor(100, 200, 100)))
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pw.addItem(rect)
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def rand(n):
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data = np.random.random(n)
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data[int(n*0.1):int(n*0.13)] += .5
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data[int(n*0.18)] += 2
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data[int(n*0.1):int(n*0.13)] *= 5
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data[int(n*0.18)] *= 20
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data *= 1e-12
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return data, np.arange(n, n+len(data)) / float(n)
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def updateData():
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yd, xd = rand(10000)
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p1.updateData(yd, x=xd)
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## Start a timer to rapidly update the plot in pw
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t = QtCore.QTimer()
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t.timeout.connect(updateData)
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t.start(50)
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## Multiple parameterized plots--we can autogenerate averages for these.
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for i in range(0, 5):
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for j in range(0, 3):
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yd, xd = rand(10000)
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pw2.plot(y=yd*(j+1), x=xd, params={'iter': i, 'val': j})
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## Test large numbers
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curve = pw3.plot(np.random.normal(size=100)*1e6)
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curve.setPen('w') ## white pen
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curve.setShadowPen(pg.mkPen((70,70,30), width=6, cosmetic=True))
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## Start Qt event loop unless running in interactive mode.
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if sys.flags.interactive != 1:
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app.exec_()
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