Plotting.py 2.91 KB
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# -*- coding: utf-8 -*-
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## This example demonstrates many of the 2D plotting capabilities
## in pyqtgraph. All of the plots may be panned/scaled by dragging with 
## the left/right mouse buttons. Right click on any plot to show a context menu.


import initExample ## Add path to library (just for examples; you do not need this)
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from pyqtgraph.Qt import QtGui, QtCore
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import numpy as np
import pyqtgraph as pg

#QtGui.QApplication.setGraphicsSystem('raster')
app = QtGui.QApplication([])
#mw = QtGui.QMainWindow()
#mw.resize(800,800)

win = pg.GraphicsWindow(title="Basic plotting examples")
win.resize(800,600)



p1 = win.addPlot(title="Basic array plotting", y=np.random.normal(size=100))

p2 = win.addPlot(title="Multiple curves")
p2.plot(np.random.normal(size=100), pen=(255,0,0))
p2.plot(np.random.normal(size=100)+5, pen=(0,255,0))
p2.plot(np.random.normal(size=100)+10, pen=(0,0,255))

p3 = win.addPlot(title="Drawing with points")
p3.plot(np.random.normal(size=100), pen=(200,200,200), symbolBrush=(255,0,0), symbolPen='w')


win.nextRow()

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p4 = win.addPlot(title="Parametric, grid enabled")
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x = np.cos(np.linspace(0, 2*np.pi, 1000))
y = np.sin(np.linspace(0, 4*np.pi, 1000))
p4.plot(x, y)
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p4.showGrid(x=True, y=True)
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p5 = win.addPlot(title="Scatter plot, axis labels, log scale")
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x = np.random.normal(size=1000) * 1e-5
y = x*1000 + 0.005 * np.random.normal(size=1000)
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y -= y.min()-1.0
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p5.plot(x, y, pen=None, symbol='t', symbolPen=None, symbolSize=10, symbolBrush=(100, 100, 255, 50))
p5.setLabel('left', "Y Axis", units='A')
p5.setLabel('bottom', "Y Axis", units='s')
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p5.setLogMode(x=True, y=False)
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p6 = win.addPlot(title="Updating plot")
curve = p6.plot(pen='y')
data = np.random.normal(size=(10,1000))
ptr = 0
def update():
    global curve, data, ptr, p6
    curve.setData(data[ptr%10])
    if ptr == 0:
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        p6.enableAutoRange('xy', False)  ## stop auto-scaling after the first data set is plotted
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    ptr += 1
timer = QtCore.QTimer()
timer.timeout.connect(update)
timer.start(50)


win.nextRow()

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p7 = win.addPlot(title="Filled plot, axis disabled")
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y = np.sin(np.linspace(0, 10, 1000)) + np.random.normal(size=1000, scale=0.1)
p7.plot(y, fillLevel=-0.3, brush=(50,50,200,100))
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p7.showAxis('bottom', False)
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x2 = np.linspace(-100, 100, 1000)
data2 = np.sin(x2) / x2
p8 = win.addPlot(title="Region Selection")
p8.plot(data2, pen=(255,255,255,200))
lr = pg.LinearRegionItem([400,700])
lr.setZValue(-10)
p8.addItem(lr)

p9 = win.addPlot(title="Zoom on selected region")
p9.plot(data2)
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def updatePlot():
    p9.setXRange(*lr.getRegion(), padding=0)
def updateRegion():
    lr.setRegion(p9.getViewBox().viewRange()[0])
lr.sigRegionChanged.connect(updatePlot)
p9.sigXRangeChanged.connect(updateRegion)
updatePlot()
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## Start Qt event loop unless running in interactive mode or using pyside.
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if __name__ == '__main__':
    import sys
    if (sys.flags.interactive != 1) or not hasattr(QtCore, 'PYQT_VERSION'):
        QtGui.QApplication.instance().exec_()