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# Scatter Hist

    import numpy as np
    import matplotlib.pyplot as plt
    from matplotlib.ticker import NullFormatter

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

    # the random data
    x = np.random.randn(1000)
    y = np.random.randn(1000)

    nullfmt = NullFormatter()         # no labels

    # definitions for the axes
    left, width = 0.1, 0.65
    bottom, height = 0.1, 0.65
    bottom_h = left_h = left + width + 0.02

    rect_scatter = [left, bottom, width, height]
    rect_histx = [left, bottom_h, width, 0.2]
    rect_histy = [left_h, bottom, 0.2, height]

    # start with a rectangular Figure
    plt.figure(1, figsize=(8, 8))

    axScatter = plt.axes(rect_scatter)
    axHistx = plt.axes(rect_histx)
    axHisty = plt.axes(rect_histy)

    # no labels
    axHistx.xaxis.set_major_formatter(nullfmt)
    axHisty.yaxis.set_major_formatter(nullfmt)

    # the scatter plot:
    axScatter.scatter(x, y)

    # now determine nice limits by hand:
    binwidth = 0.25
    xymax = max(np.max(np.abs(x)), np.max(np.abs(y)))
    lim = (int(xymax/binwidth) + 1) * binwidth

    axScatter.set_xlim((-lim, lim))
    axScatter.set_ylim((-lim, lim))

    bins = np.arange(-lim, lim + binwidth, binwidth)
    axHistx.hist(x, bins=bins)
    axHisty.hist(y, bins=bins, orientation='horizontal')

    axHistx.set_xlim(axScatter.get_xlim())
    axHisty.set_ylim(axScatter.get_ylim())

    plt.show()

Total running time of the script: ( 0 minutes 0.222 seconds)

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