有很多方法可以做你想要的。要添加@inalis和@Navi所说的内容，可以使用b@R_371_2419@_to_anchor关键字参数将图例部分地放置在轴外and/or 减小字体大小。
在考虑减小字体大小（这会使阅读起来非常困难）之前，请尝试将图例放在不同的位置：
因此，让我们从一个通用示例开始：
import matplotlib.pyplot as plt
import numpy as np
x = np.arange(10)
fig = plt.figure()
ax = plt.subplot(111)
for i in xrange(5):
ax.plot(x, i * x, label='$y = %ix$' % i)
ax.legend()
plt.show()
如果我们做同样的事情，但是使用b@R_371_2419@_to_anchor关键字参数，我们可以将图例稍微移出轴边界：
import matplotlib.pyplot as plt
import numpy as np
x = np.arange(10)
fig = plt.figure()
ax = plt.subplot(111)
for i in xrange(5):
ax.plot(x, i * x, label='$y = %ix$' % i)
ax.legend(b@R_371_2419@_to_anchor=(1.1, 1.05))
plt.show()
同样，你可以使图例更加水平和/或将其放在图的顶部（我也打开了圆角和简单的阴影）：
import matplotlib.pyplot as plt
import numpy as np
x = np.arange(10)
fig = plt.figure()
ax = plt.subplot(111)
for i in xrange(5):
line, = ax.plot(x, i * x, label='$y = %ix$'%i)
ax.legend(loc='upper center', b@R_371_2419@_to_anchor=(0.5, 1.05),
ncol=3, fancybox=True, shadow=True)
plt.show()
另外，你可以缩小当前图的宽度，并将图例完全放在图的轴外：
import matplotlib.pyplot as plt
import numpy as np
x = np.arange(10)
fig = plt.figure()
ax = plt.subplot(111)
for i in xrange(5):
ax.plot(x, i * x, label='$y = %ix$'%i)
# Shrink current axis by 20%
@R_371_2419@ = ax.get_position()
ax.set_position([@R_371_2419@.x0, @R_371_2419@.y0, @R_371_2419@.width * 0.8, @R_371_2419@.height])
# Put a legend to the right of the current axis
ax.legend(loc='center left', b@R_371_2419@_to_anchor=(1, 0.5))
plt.show()
同样，你可以垂直缩小图，并在底部放置水平图例：
import matplotlib.pyplot as plt
import numpy as np
x = np.arange(10)
fig = plt.figure()
ax = plt.subplot(111)
for i in xrange(5):
line, = ax.plot(x, i * x, label='$y = %ix$'%i)
# Shrink current axis's height by 10% on the bottom
@R_371_2419@ = ax.get_position()
ax.set_position([@R_371_2419@.x0, @R_371_2419@.y0 + @R_371_2419@.height * 0.1,
@R_371_2419@.width, @R_371_2419@.height * 0.9])
# Put a legend below current axis
ax.legend(loc='upper center', b@R_371_2419@_to_anchor=(0.5, -0.05),
fancybox=True, shadow=True, ncol=5)
plt.show()
你可以通过创建字体属性来缩小图例文本：
from matplotlib.font_manager import FontProperties
fontP = FontProperties()
fontP.set_size('small')
legend([plot1], "title", prop=fontP)
# or add prop=fontP to whatever legend() call you already have
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