选择事件演示2

计算100个数据集的平均值和标准差（stddev），并绘制平均值vs stddev。单击其中一个mu，sigma点时，绘制生成均值和stddev的数据集中的原始数据。

选择事件演示2

  1. import numpy as np
  2. import matplotlib.pyplot as plt
  5. X = np.random.rand(100, 1000)
  6. xs = np.mean(X, axis=1)
  7. ys = np.std(X, axis=1)
  9. fig, ax = plt.subplots()
  10. ax.set_title('click on point to plot time series')
  11. line, = ax.plot(xs, ys, 'o', picker=5)  # 5 points tolerance
  14. def onpick(event):
  16.     if event.artist != line:
  17.         return True
  19.     N = len(event.ind)
  20.     if not N:
  21.         return True
  23.     figi, axs = plt.subplots(N, squeeze=False)
  24.     for ax, dataind in zip(axs.flat, event.ind):
  25.         ax.plot(X[dataind])
  26.         ax.text(.05, .9, 'mu=%1.3f\nsigma=%1.3f' % (xs[dataind], ys[dataind]),
  27.                 transform=ax.transAxes, va='top')
  28.         ax.set_ylim(-0.5, 1.5)
  29.     figi.show()
  30.     return True
  32. fig.canvas.mpl_connect('pick_event', onpick)
  34. plt.show()

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