散点图视图拆解

从散点图创建直方图，并将其添加到散点图的两侧。

散点图视图拆解示例

  1. import numpy as np
  2. import matplotlib.pyplot as plt
  3. from matplotlib.ticker import NullFormatter
  5. # Fixing random state for reproducibility
  6. np.random.seed(19680801)
  9. # the random data
  10. x = np.random.randn(1000)
  11. y = np.random.randn(1000)
  13. nullfmt = NullFormatter()         # no labels
  15. # definitions for the axes
  16. left, width = 0.1, 0.65
  17. bottom, height = 0.1, 0.65
  18. bottom_h = left_h = left + width + 0.02
  20. rect_scatter = [left, bottom, width, height]
  21. rect_histx = [left, bottom_h, width, 0.2]
  22. rect_histy = [left_h, bottom, 0.2, height]
  24. # start with a rectangular Figure
  25. plt.figure(1, figsize=(8, 8))
  27. axScatter = plt.axes(rect_scatter)
  28. axHistx = plt.axes(rect_histx)
  29. axHisty = plt.axes(rect_histy)
  31. # no labels
  32. axHistx.xaxis.set_major_formatter(nullfmt)
  33. axHisty.yaxis.set_major_formatter(nullfmt)
  35. # the scatter plot:
  36. axScatter.scatter(x, y)
  38. # now determine nice limits by hand:
  39. binwidth = 0.25
  40. xymax = max(np.max(np.abs(x)), np.max(np.abs(y)))
  41. lim = (int(xymax/binwidth) + 1) * binwidth
  43. axScatter.set_xlim((-lim, lim))
  44. axScatter.set_ylim((-lim, lim))
  46. bins = np.arange(-lim, lim + binwidth, binwidth)
  47. axHistx.hist(x, bins=bins)
  48. axHisty.hist(y, bins=bins, orientation='horizontal')
  50. axHistx.set_xlim(axScatter.get_xlim())
  51. axHisty.set_ylim(axScatter.get_ylim())
  53. plt.show()

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