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| import numpy as np import matplotlib.pyplot as plt import matplotlib.animation as animation
def data_gen(t=0): cnt = 0 while cnt < 1000: cnt += 1 t += 0.1 yield t, np.sin(2*np.pi*t) * np.exp(-t/10.)
def init(): ax.set_ylim(-1.1, 1.1) ax.set_xlim(0, 10) del xdata[:] del ydata[:] line.set_data(xdata, ydata) return line,
fig, ax = plt.subplots() line, = ax.plot([], [], lw=2) ax.grid() xdata, ydata = [], []
def run(data): t, y = data xdata.append(t) ydata.append(y) xmin, xmax = ax.get_xlim()
if t >= xmax: ax.set_xlim(xmin, 2*xmax) ax.figure.canvas.draw() line.set_data(xdata, ydata)
return line,
ani = animation.FuncAnimation(fig, run, data_gen, blit=False, interval=10, repeat=False, init_func=init) plt.show()
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