Matplotlib 3.0 Cookbook

How to do it...

You can run all the steps of the previous recipe at once, as shown here, to create the animation:

fig, ax = plt.subplots()x = np.arange(-10, 10, 0.01)y = 1 / (1 + np.exp(-x))line, = ax.plot(x, y)def init(): # only required for blitting to give a clean slate.    line.set_ydata([np.nan] * len(x))    return linedef animate(i):    line.set_ydata(1 / (1 + np.exp(-(x+i/100)))) # update the data.    return lineani = FuncAnimation(fig, animate, 1000, init_func=init, blit=True,                     interval=2, save_count=50, repeat=False, repeat_delay=1000)

There are two ways you can save the figure:

ani.save("sigmoid.mp4")             

You can also save it like this:

from matplotlib.animation import FFMpegWriterwriter = FFMpegWriter(fps=25, metadata=dict(title='expdecay',artist='line'), ...