matplotlib实现根据实时数据动态更新图形

from time import sleep

from threading importThread

import numpy as np

import matplotlib.pyplot as plt

from matplotlib.widgets importButton

fig, ax = plt.subplots()

#设置图形显示位置

plt.subplots_adjust(bottom=0.2)

#实验数据

range_start, range_end, range_step =0,1,0.005

t = np.arange(range_start, range_end, range_step)

s = np.sin(4*np.pi*t)

l,= plt.plot(t, s, lw=2)

#自定义类，用来封装两个按钮的单击事件处理函数

classButtonHandler:

def __init__(self):

self.flag =True

self.range_s, self.range_e, self.range_step =0,1,0.005

#线程函数，用来更新数据并重新绘制图形

def threadStart(self):

while self.flag:

sleep(0.02)

self.range_s += self.range_step

self.range_e += self.range_step

t = np.arange(self.range_s, self.range_e, self.range_step)

ydata = np.sin(4*np.pi*t)

#更新数据

l.set_xdata(t-t[0])

l.set_ydata(ydata)

#重新绘制图形

plt.draw()

defStart(self, event):

self.flag =True

#创建并启动新线程

t =Thread(target=self.threadStart)

t.start()

defStop(self, event):

self.flag =False

callback =ButtonHandler()

#创建按钮并设置单击事件处理函数

axprev = plt.axes([0.81,0.05,0.1,0.075])

bprev =Button(axprev,'Stop')

bprev.on_clicked(callback.Stop)

axnext = plt.axes([0.7,0.05,0.1,0.075])

bnext =Button(axnext,'Start')

bnext.on_clicked(callback.Start)

plt.show()