2、在Python中新建一個 .py 文件，然後寫入如下代碼並執行可以得到官方提供的很多案例（含代碼），出現如下界面圖像：

import pyqtgraph.examples
pyqtgraph.examples.run()

圖1

圖2

圖3

4、程序默認是黑色背景，這個是可以修改的。比如，在程序的開頭部分寫入如下代碼就可以修改背景：

pg.setConfigOption(‘background‘, ‘w‘)
pg.setConfigOption(‘foreground‘, ‘k‘)
 

更多說明，見 pyqtgraph 官網：http://www.pyqtgraph.org/documentation/style.html，“Line, Fill, and Color”部分的“Default Background and Foreground Colors”部分。

5、一個修改背景顏色的完整案例如下，可以直接運行程序：

import numpy as np
import pyqtgraph as pg
from pyqtgraph.Qt import QtGui, QtCore

# 如下2行代碼是我自己加入的，目的是修改默認的黑色背景為其它顏色背景
pg.setConfigOption(‘background‘, ‘w‘)
pg.setConfigOption(‘foreground‘, ‘k‘)

from pyqtgraph.Point import Point

#generate layout
app = QtGui.QApplication([])
win = pg.GraphicsWindow()
win.setWindowTitle(‘pyqtgraph example: crosshair‘)
label = pg.LabelItem(justify=‘right‘)
win.addItem(label)
p1 = win.addPlot(row=1, col=0)
p2 = win.addPlot(row=2, col=0)

region = pg.LinearRegionItem()
region.setZValue(10)
# Add the LinearRegionItem to the ViewBox, but tell the ViewBox to exclude this
# item when doing auto-range calculations.
p2.addItem(region, ignoreBounds=True)

#pg.dbg()
p1.setAutoVisible(y=True)

#create numpy arrays
#make the numbers large to show that the xrange shows data from 10000 to all the way 0
data1 = 10000 + 15000 * pg.gaussianFilter(np.random.random(size=10000), 10) + 3000 * np.random.random(size=10000)
data2 = 15000 + 15000 * pg.gaussianFilter(np.random.random(size=10000), 10) + 3000 * np.random.random(size=10000)

p1.plot(data1, pen="r")
p1.plot(data2, pen="g")

p2.plot(data1, pen="w")

def update():
    region.setZValue(10)
    minX, maxX = region.getRegion()
    p1.setXRange(minX, maxX, padding=0)

region.sigRegionChanged.connect(update)

def updateRegion(window, viewRange):
    rgn = viewRange[0]
    region.setRegion(rgn)

p1.sigRangeChanged.connect(updateRegion)

region.setRegion([1000, 2000])

#cross hair
vLine = pg.InfiniteLine(angle=90, movable=False)
hLine = pg.InfiniteLine(angle=0, movable=False)
p1.addItem(vLine, ignoreBounds=True)
p1.addItem(hLine, ignoreBounds=True)

vb = p1.vb

def mouseMoved(evt):
    pos = evt[0]  ## using signal proxy turns original arguments into a tuple
    if p1.sceneBoundingRect().contains(pos):
        mousePoint = vb.mapSceneToView(pos)
        index = int(mousePoint.x())
        if index > 0 and index < len(data1):
            label.setText("<span style=‘font-size: 12pt‘>x=%0.1f,   <span style=‘color: red‘>y1=%0.1f</span>,   <span style=‘color: green‘>y2=%0.1f</span>" % (mousePoint.x(), data1[index], data2[index]))
        vLine.setPos(mousePoint.x())
        hLine.setPos(mousePoint.y())

proxy = pg.SignalProxy(p1.scene().sigMouseMoved, rateLimit=60, slot=mouseMoved)
#p1.scene().sigMouseMoved.connect(mouseMoved)

## Start Qt event loop unless running in interactive mode or using pyside.
if __name__ == ‘__main__‘:
    import sys
    if (sys.flags.interactive != 1) or not hasattr(QtCore, ‘PYQT_VERSION‘):
        QtGui.QApplication.instance().exec_()
 

Python3.x+pyqtgraph實皇冠現體育網站開發數據可視化