利用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()