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# 3D scatterplot

Demonstration of a basic scatterplot in 3D.

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

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

    def randrange(n, vmin, vmax):
        '''
        Helper function to make an array of random numbers having shape (n, )
        with each number distributed Uniform(vmin, vmax).
        '''
        return (vmax - vmin)*np.random.rand(n) + vmin

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

    n = 100

    # For each set of style and range settings, plot n random points in the box
    # defined by x in [23, 32], y in [0, 100], z in [zlow, zhigh].
    for c, m, zlow, zhigh in [('r', 'o', -50, -25), ('b', '^', -30, -5)]:
        xs = randrange(n, 23, 32)
        ys = randrange(n, 0, 100)
        zs = randrange(n, zlow, zhigh)
        ax.scatter(xs, ys, zs, c=c, marker=m)

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

    plt.show()

Total running time of the script: ( 0 minutes 0.018 seconds)

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