我正在寻找的代码是将Savefig调用调整为：

fig.savefig('samplefigure', bbox_extra_artists=(lgd,), bbox_inches='tight')
#Note that the bbox_extra_artists must be an iterable

这实际上是根据需要调整了图形框的大小：

import matplotlib.pyplot as plt
import numpy as np

x = np.arange(-2*np.pi, 2*np.pi, 0.1)
fig = plt.figure(1)
ax = fig.add_subplot(111)
ax.plot(x, np.sin(x), label='Sine')
ax.plot(x, np.cos(x), label='Cosine')
ax.plot(x, np.arctan(x), label='Inverse tan')
handles, labels = ax.get_legend_handles_labels()
lgd = ax.legend(handles, labels, loc='upper center', bbox_to_anchor=(0.5,-0.1))
ax.grid('on')
fig.savefig('samplefigure', bbox_extra_artists=(lgd,), bbox_inches='tight')

输出：

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使用subplots_adjust()：

fig.subplots_adjust(bottom=0.2) # <-- Change the 0.02 to work for your plot.

然后在图例中播放偏移量。

fig = plt.figure(1)

fig = plt.figure(num=1, figsize=(13, 13), dpi=80, facecolor='w', edgecolor='k')

修改

lgd = ax.legend(loc=9, bbox_to_anchor=(0.5,0))

为：

lgd = ax.legend(loc=9, bbox_to_anchor=(0.5,-0.02))