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我想要做的是动态地扩展图形框的大小,以适应扩展的图形图例。
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') lgd = ax.legend(loc=9, bbox_to_anchor=(0.5,0)) ax.grid('on')
输出:
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:
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))