利用matplotlib实现根据实时数据动态更新图形

技术  /  管理员 发布于 7年前   212

我就废话不多说了，直接上代码吧！

from time import sleepfrom threading importThreadimport numpy as npimport matplotlib.pyplot as pltfrom matplotlib.widgets importButtonfig, 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 =0,1,0.005t = 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 =Trueself.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_stepself.range_e += self.range_stept = 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 =Falsecallback =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()

二 运行结果

以上这篇利用matplotlib实现根据实时数据动态更新图形就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持。