100 lines
2.9 KiB
Python
100 lines
2.9 KiB
Python
# -*- coding: utf-8 -*-
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"""
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This example demonstrates many of the 2D plotting capabilities
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in pyqtgraph. All of the plots may be panned/scaled by dragging with
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the left/right mouse buttons. Right click on any plot to show a context menu.
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"""
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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
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import pyqtgraph as pg
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app = pg.mkQApp("Plotting Example")
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#mw = QtGui.QMainWindow()
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#mw.resize(800,800)
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win = pg.GraphicsLayoutWidget(show=True, title="Basic plotting examples")
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win.resize(1000,600)
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win.setWindowTitle('pyqtgraph example: Plotting')
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# Enable antialiasing for prettier plots
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pg.setConfigOptions(antialias=True)
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p1 = win.addPlot(title="Basic array plotting", y=np.random.normal(size=100))
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p2 = win.addPlot(title="Multiple curves")
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p2.plot(np.random.normal(size=100), pen=(255,0,0), name="Red curve")
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p2.plot(np.random.normal(size=110)+5, pen=(0,255,0), name="Green curve")
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p2.plot(np.random.normal(size=120)+10, pen=(0,0,255), name="Blue curve")
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p3 = win.addPlot(title="Drawing with points")
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p3.plot(np.random.normal(size=100), pen=(200,200,200), symbolBrush=(255,0,0), symbolPen='w')
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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))
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y = np.sin(np.linspace(0, 4*np.pi, 1000))
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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
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y = x*1000 + 0.005 * np.random.normal(size=1000)
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y -= y.min()-1.0
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mask = x > 1e-15
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x = x[mask]
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y = y[mask]
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p5.plot(x, y, pen=None, symbol='t', symbolPen=None, symbolSize=10, symbolBrush=(100, 100, 255, 50))
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p5.setLabel('left', "Y Axis", units='A')
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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")
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curve = p6.plot(pen='y')
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data = np.random.normal(size=(10,1000))
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ptr = 0
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def update():
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global curve, data, ptr, p6
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curve.setData(data[ptr%10])
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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
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timer = QtCore.QTimer()
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timer.timeout.connect(update)
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timer.start(50)
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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)
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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)
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data2 = np.sin(x2) / x2
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p8 = win.addPlot(title="Region Selection")
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p8.plot(data2, pen=(255,255,255,200))
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lr = pg.LinearRegionItem([400,700])
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lr.setZValue(-10)
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p8.addItem(lr)
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p9 = win.addPlot(title="Zoom on selected region")
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p9.plot(data2)
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def updatePlot():
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p9.setXRange(*lr.getRegion(), padding=0)
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def updateRegion():
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lr.setRegion(p9.getViewBox().viewRange()[0])
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lr.sigRegionChanged.connect(updatePlot)
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p9.sigXRangeChanged.connect(updateRegion)
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updatePlot()
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if __name__ == '__main__':
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pg.exec()
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