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import numpy as np

import matplotlib.pyplot as plt

import matplotlib.animation as animation

def update_line(num, data, line):

line.set_data(data[..., :num])

return line,

fig1 = plt.figure()

data = np.random.rand(2, 25)

l, = plt.plot([], [], 'r-')

plt.xlim(0, 1)

plt.ylim(0, 1)

plt.xlabel('x')

plt.title('test')

line_ani = animation.FuncAnimation(fig1, update_line, 25, fargs=(data, l),

interval=50, blit=True)

#line_ani.save('lines.mp4')

fig2 = plt.figure()

x = np.arange(-9, 10)

y = np.arange(-9, 10).reshape(-1, 1)

base = np.hypot(x, y)

ims = []

for add in np.arange(15):

ims.append((plt.pcolor(x, y, base + add, norm=plt.Normalize(0, 30)),))

im_ani = animation.ArtistAnimation(fig2, ims, interval=50, repeat_delay=3000,

blit=True)

#im_ani.save('im.mp4', metadata={'artist':'Guido'})

plt.show()