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# Multiple Figs Demo

Working with multiple figure windows and subplots

    import matplotlib.pyplot as plt
    import numpy as np

    t = np.arange(0.0, 2.0, 0.01)
    s1 = np.sin(2*np.pi*t)
    s2 = np.sin(4*np.pi*t)

    plt.figure(1)
    plt.subplot(211)
    plt.plot(t, s1)
    plt.subplot(212)
    plt.plot(t, 2*s1)

    plt.figure(2)
    plt.plot(t, s2)

    # now switch back to figure 1 and make some changes
    plt.figure(1)
    plt.subplot(211)
    plt.plot(t, s2, 's')
    ax = plt.gca()
    ax.set_xticklabels([])

    plt.show()

Total running time of the script: ( 0 minutes 0.082 seconds)

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