Matplotlib多子图使用一个图例的实现

import matplotlib.pyplot as plt
fig = plt.figure()
axes = fig.subplots(nrows=2, ncols=2)
for ax in fig.axes:
    ax.plot([0, 10], [0, 10], label='linear')
# 使用最后一个子图的图例
lines, labels = fig.axes[-1].get_legend_handles_labels()
fig.legend(lines, labels, loc = 'upper center') # 图例的位置，bbox_to_anchor=(0.5, 0.92),
plt.show()

import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 10, 501)
fig = plt.figure()
axes = fig.subplots(nrows=2, ncols=2)
axes[0, 0].plot(x,np.sin(x),color = 'k',label="sin(x)")
axes[0, 1].plot(x,np.cos(x),color = 'b',label="cos(x)")
axes[1, 0].plot(x,np.sin(x) + np.cos(x),color = 'r',label="sin(x)+cos(x)")
axes[1, 1].plot(x,np.sin(x) - np.cos(x),color = 'm',label="sin(x)-cos(x)")
lines = []
labels = []
# 利用循环得到每一个子图的图例
for ax in fig.axes:
    axLine, axLabel = ax.get_legend_handles_labels()
    lines.extend(axLine)
    labels.extend(axLabel)
fig.legend(lines, labels, loc = 'upper right')  # 图例的位置，bbox_to_anchor=(0.5, 0.92),
plt.show()