pyqtgraph/examples/test_PlotWidget.py

#!/usr/bin/python
# -*- coding: utf-8 -*-
## Add path to library (just for examples; you do not need this)
import sys, os
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..'))


from PyQt4 import QtGui, QtCore
import numpy as np
import pyqtgraph as pg

#QtGui.QApplication.setGraphicsSystem('raster')
app = QtGui.QApplication([])
mw = QtGui.QMainWindow()
mw.resize(800,800)
cw = QtGui.QWidget()
mw.setCentralWidget(cw)
l = QtGui.QVBoxLayout()
cw.setLayout(l)

pw = pg.PlotWidget(name='Plot1')  ## giving the plots names allows us to link their axes together
l.addWidget(pw)
pw2 = pg.PlotWidget(name='Plot2')
l.addWidget(pw2)
pw3 = pg.PlotWidget()
l.addWidget(pw3)

mw.show()

## Create an empty plot curve to be filled later, set its pen
p1 = pw.plot()
p1.setPen((200,200,100))

## Add in some extra graphics
rect = QtGui.QGraphicsRectItem(QtCore.QRectF(0, 0, 1, 1))
rect.setPen(QtGui.QPen(QtGui.QColor(100, 200, 100)))
pw.addItem(rect)


def rand(n):
    data = np.random.random(n)
    data[int(n*0.1):int(n*0.13)] += .5
    data[int(n*0.18)] += 2
    data[int(n*0.1):int(n*0.13)] *= 5
    data[int(n*0.18)] *= 20
    data *= 1e-12
    return data, np.arange(n, n+len(data)) / float(n)
    

def updateData():
    yd, xd = rand(10000)
    p1.updateData(yd, x=xd)

## Start a timer to rapidly update the plot in pw
t = QtCore.QTimer()
t.timeout.connect(updateData)
t.start(50)

## Multiple parameterized plots--we can autogenerate averages for these.
for i in range(0, 5):
    for j in range(0, 3):
        yd, xd = rand(10000)
        pw2.plot(y=yd*(j+1), x=xd, params={'iter': i, 'val': j})

## Test large numbers
curve = pw3.plot(np.random.normal(size=100)*1e6)
curve.setPen('w')  ## white pen
curve.setShadowPen(pg.mkPen((70,70,30), width=6, cosmetic=True))


## Start Qt event loop unless running in interactive mode.
if sys.flags.interactive != 1:
    app.exec_()