3D散点图

演示3D中的基本散点图。

3D散点图示例

  1. # This import registers the 3D projection, but is otherwise unused.
  2. from mpl_toolkits.mplot3d import Axes3D  # noqa: F401 unused import
  4. import matplotlib.pyplot as plt
  5. import numpy as np
  7. # Fixing random state for reproducibility
  8. np.random.seed(19680801)
  11. def randrange(n, vmin, vmax):
  12.     '''
  13.     Helper function to make an array of random numbers having shape (n, )
  14.     with each number distributed Uniform(vmin, vmax).
  15.     '''
  16.     return (vmax - vmin)*np.random.rand(n) + vmin
  18. fig = plt.figure()
  19. ax = fig.add_subplot(111, projection='3d')
  21. n = 100
  23. # For each set of style and range settings, plot n random points in the box
  24. # defined by x in [23, 32], y in [0, 100], z in [zlow, zhigh].
  25. for c, m, zlow, zhigh in [('r', 'o', -50, -25), ('b', '^', -30, -5)]:
  26.     xs = randrange(n, 23, 32)
  27.     ys = randrange(n, 0, 100)
  28.     zs = randrange(n, zlow, zhigh)
  29.     ax.scatter(xs, ys, zs, c=c, marker=m)
  31. ax.set_xlabel('X Label')
  32. ax.set_ylabel('Y Label')
  33. ax.set_zlabel('Z Label')
  35. plt.show()

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