自动子批次调整

自动调整子批次参数。此示例显示了一种方法，该方法使用对 draw_event .

请注意，使用 tight_layout 或 set_constrained_layout ；此示例显示如何自定义子批次参数调整。

import matplotlib.pyplot as plt
import matplotlib.transforms as mtransforms

fig, ax = plt.subplots()
ax.plot(range(10))
ax.set_yticks((2, 5, 7))
labels = ax.set_yticklabels(('really, really, really', 'long', 'labels'))

def on_draw(event):
    bboxes = []
    for label in labels:
        bbox = label.get_window_extent()
        # the figure transform goes from relative coords->pixels and we
        # want the inverse of that
        bboxi = bbox.transformed(fig.transFigure.inverted())
        bboxes.append(bboxi)
    # the bbox that bounds all the bboxes, again in relative figure coords
    bbox = mtransforms.Bbox.union(bboxes)
    if fig.subplotpars.left < bbox.width:
        # we need to move it over
        fig.subplots_adjust(left=1.1*bbox.width)  # pad a little
        fig.canvas.draw()

fig.canvas.mpl_connect('draw_event', on_draw)

plt.show()

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工具书类

以下函数、方法、类和模块的使用如本例所示：

import matplotlib
matplotlib.artist.Artist.get_window_extent
matplotlib.transforms.Bbox
matplotlib.transforms.Bbox.transformed
matplotlib.transforms.Bbox.union
matplotlib.transforms.Transform.inverted
matplotlib.figure.Figure.subplots_adjust
matplotlib.figure.SubplotParams
matplotlib.backend_bases.FigureCanvasBase.mpl_connect

出：

<function FigureCanvasBase.mpl_connect at 0x7faa167b56a8>