>>> """
==============
3D scatterplot
==============

Demonstration of a basic scatterplot in 3D.
"""
... 
... 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(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 m, zlow, zhigh in [('o', -50, -25), ('^', -30, -5)]:
...     xs = randrange(n, 23, 32)
...     ys = randrange(n, 0, 100)
...     zs = randrange(n, zlow, zhigh)
...     ax.scatter(xs, ys, zs, marker=m)
... 
... ax.set_xlabel('X Label')
... ax.set_ylabel('Y Label')
... ax.set_zlabel('Z Label')
... 
... plt.show()
...