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# Create 2D bar graphs in different planes

Demonstrates making a 3D plot which has 2D bar graphs projected onto planes y=0, y=1, etc.

    from mpl_toolkits.mplot3d import Axes3D
    import matplotlib.pyplot as plt
    import numpy as np

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

    fig = plt.figure()
    ax = fig.add_subplot(111, projection='3d')

    colors = ['r', 'g', 'b', 'y']
    yticks = [3, 2, 1, 0]
    for c, k in zip(colors, yticks):
        # Generate the random data for the y=k 'layer'.
        xs = np.arange(20)
        ys = np.random.rand(20)

        # You can provide either a single color or an array with the same length as
        # xs and ys. To demonstrate this, we color the first bar of each set cyan.
        cs = [c] * len(xs)
        cs[0] = 'c'

        # Plot the bar graph given by xs and ys on the plane y=k with 80% opacity.
        ax.bar(xs, ys, zs=k, zdir='y', color=cs, alpha=0.8)

    ax.set_xlabel('X')
    ax.set_ylabel('Y')
    ax.set_zlabel('Z')

    # On the y axis let's only label the discrete values that we have data for.
    ax.set_yticks(yticks)

    plt.show()

Total running time of the script: ( 0 minutes 0.108 seconds)

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