自动调整子图

自动调整子图参数。 此示例显示了一种使用draw_event上的回调从ticklabels范围确定subplot参数的方法。

请注意，使用tight_layout或 constrained_layout 可以实现类似的结果; 此示例显示了如何自定义子图参数调整。

  1. import matplotlib.pyplot as plt
  2. import matplotlib.transforms as mtransforms
  3. fig, ax = plt.subplots()
  4. ax.plot(range(10))
  5. ax.set_yticks((2,5,7))
  6. labels = ax.set_yticklabels(('really, really, really', 'long', 'labels'))
  8. def on_draw(event):
  9.    bboxes = []
  10.    for label in labels:
  11.        bbox = label.get_window_extent()
  12.        # the figure transform goes from relative coords->pixels and we
  13.        # want the inverse of that
  14.        bboxi = bbox.inverse_transformed(fig.transFigure)
  15.        bboxes.append(bboxi)
  17.    # this is the bbox that bounds all the bboxes, again in relative
  18.    # figure coords
  19.    bbox = mtransforms.Bbox.union(bboxes)
  20.    if fig.subplotpars.left < bbox.width:
  21.        # we need to move it over
  22.        fig.subplots_adjust(left=1.1*bbox.width) # pad a little
  23.        fig.canvas.draw()
  24.    return False
  26. fig.canvas.mpl_connect('draw_event', on_draw)
  28. plt.show()

自动调整子图

参考

此示例中显示了以下函数，方法，类和模块的使用：

  1. import matplotlib
  2. matplotlib.artist.Artist.get_window_extent
  3. matplotlib.transforms.Bbox
  4. matplotlib.transforms.Bbox.inverse_transformed
  5. matplotlib.transforms.Bbox.union
  6. matplotlib.figure.Figure.subplots_adjust
  7. matplotlib.figure.SubplotParams
  8. matplotlib.backend_bases.FigureCanvasBase.mpl_connect

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