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# Xcorr Demo

    import matplotlib.pyplot as plt
    import numpy as np

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

    x, y = np.random.randn(2, 100)
    fig = plt.figure()
    ax1 = fig.add_subplot(211)
    ax1.xcorr(x, y, usevlines=True, maxlags=50, normed=True, lw=2)
    ax1.grid(True)
    ax1.axhline(0, color='black', lw=2)

    ax2 = fig.add_subplot(212, sharex=ax1)
    ax2.acorr(x, usevlines=True, normed=True, maxlags=50, lw=2)
    ax2.grid(True)
    ax2.axhline(0, color='black', lw=2)

    plt.show()

Total running time of the script: ( 0 minutes 0.055 seconds)

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