绘制plot事件图的示例

一个事件图，显示具有各种线属性的事件序列。该图以水平和垂直方向显示。

绘制事件集的示例;

  1. import matplotlib.pyplot as plt
  2. import numpy as np
  3. import matplotlib
  4. matplotlib.rcParams['font.size'] = 8.0
  6. # Fixing random state for reproducibility
  7. np.random.seed(19680801)
  10. # create random data
  11. data1 = np.random.random([6, 50])
  13. # set different colors for each set of positions
  14. colors1 = np.array([[1, 0, 0],
  15.                     [0, 1, 0],
  16.                     [0, 0, 1],
  17.                     [1, 1, 0],
  18.                     [1, 0, 1],
  19.                     [0, 1, 1]])
  21. # set different line properties for each set of positions
  22. # note that some overlap
  23. lineoffsets1 = np.array([-15, -3, 1, 1.5, 6, 10])
  24. linelengths1 = [5, 2, 1, 1, 3, 1.5]
  26. fig, axs = plt.subplots(2, 2)
  28. # create a horizontal plot
  29. axs[0, 0].eventplot(data1, colors=colors1, lineoffsets=lineoffsets1,
  30.                     linelengths=linelengths1)
  32. # create a vertical plot
  33. axs[1, 0].eventplot(data1, colors=colors1, lineoffsets=lineoffsets1,
  34.                     linelengths=linelengths1, orientation='vertical')
  36. # create another set of random data.
  37. # the gamma distribution is only used fo aesthetic purposes
  38. data2 = np.random.gamma(4, size=[60, 50])
  40. # use individual values for the parameters this time
  41. # these values will be used for all data sets (except lineoffsets2, which
  42. # sets the increment between each data set in this usage)
  43. colors2 = [[0, 0, 0]]
  44. lineoffsets2 = 1
  45. linelengths2 = 1
  47. # create a horizontal plot
  48. axs[0, 1].eventplot(data2, colors=colors2, lineoffsets=lineoffsets2,
  49.                     linelengths=linelengths2)
  52. # create a vertical plot
  53. axs[1, 1].eventplot(data2, colors=colors2, lineoffsets=lineoffsets2,
  54.                     linelengths=linelengths2, orientation='vertical')
  56. plt.show()

下载这个示例