数据浏览器

在多个画布之间连接数据。

此示例介绍了如何与多个画布交互数据。这样，您可以选择并突出显示一个轴上的点，并在另一个轴上生成该点的数据。

数据浏览器示例

  1. import numpy as np
  4. class PointBrowser(object):
  5.     """
  6.     Click on a point to select and highlight it -- the data that
  7.     generated the point will be shown in the lower axes.  Use the 'n'
  8.     and 'p' keys to browse through the next and previous points
  9.     """
  11.     def __init__(self):
  12.         self.lastind = 0
  14.         self.text = ax.text(0.05, 0.95, 'selected: none',
  15.                             transform=ax.transAxes, va='top')
  16.         self.selected, = ax.plot([xs[0]], [ys[0]], 'o', ms=12, alpha=0.4,
  17.                                  color='yellow', visible=False)
  19.     def onpress(self, event):
  20.         if self.lastind is None:
  21.             return
  22.         if event.key not in ('n', 'p'):
  23.             return
  24.         if event.key == 'n':
  25.             inc = 1
  26.         else:
  27.             inc = -1
  29.         self.lastind += inc
  30.         self.lastind = np.clip(self.lastind, 0, len(xs) - 1)
  31.         self.update()
  33.     def onpick(self, event):
  35.         if event.artist != line:
  36.             return True
  38.         N = len(event.ind)
  39.         if not N:
  40.             return True
  42.         # the click locations
  43.         x = event.mouseevent.xdata
  44.         y = event.mouseevent.ydata
  46.         distances = np.hypot(x - xs[event.ind], y - ys[event.ind])
  47.         indmin = distances.argmin()
  48.         dataind = event.ind[indmin]
  50.         self.lastind = dataind
  51.         self.update()
  53.     def update(self):
  54.         if self.lastind is None:
  55.             return
  57.         dataind = self.lastind
  59.         ax2.cla()
  60.         ax2.plot(X[dataind])
  62.         ax2.text(0.05, 0.9, 'mu=%1.3f\nsigma=%1.3f' % (xs[dataind], ys[dataind]),
  63.                  transform=ax2.transAxes, va='top')
  64.         ax2.set_ylim(-0.5, 1.5)
  65.         self.selected.set_visible(True)
  66.         self.selected.set_data(xs[dataind], ys[dataind])
  68.         self.text.set_text('selected: %d' % dataind)
  69.         fig.canvas.draw()
  72. if __name__ == '__main__':
  73.     import matplotlib.pyplot as plt
  74.     # Fixing random state for reproducibility
  75.     np.random.seed(19680801)
  77.     X = np.random.rand(100, 200)
  78.     xs = np.mean(X, axis=1)
  79.     ys = np.std(X, axis=1)
  81.     fig, (ax, ax2) = plt.subplots(2, 1)
  82.     ax.set_title('click on point to plot time series')
  83.     line, = ax.plot(xs, ys, 'o', picker=5)  # 5 points tolerance
  85.     browser = PointBrowser()
  87.     fig.canvas.mpl_connect('pick_event', browser.onpick)
  88.     fig.canvas.mpl_connect('key_press_event', browser.onpress)
  90.     plt.show()

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