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# Simple animation examples

This example contains two animations. The first is a random walk plot. The second is an image animation.

    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()

    # Fixing random state for reproducibility
    np.random.seed(19680801)

    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)

    # To save the animation, use the command: 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)
    # To save this second animation with some metadata, use the following command:
    # im_ani.save('im.mp4', metadata={'artist':'Guido'})

    plt.show()

Total running time of the script: ( 0 minutes 0.383 seconds)

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