关于matplotlib如何设置图例的位置？如何将图例放在图外？以及如何在一幅图有多个子图的情况下，删除重复的图例？我用一个简单的例子说明一下。

import pandas as pdimport numpy as npimport matplotlib.pyplot as pltfig = plt.figure(1)ax1 = fig.add_subplot(2,2,1)ax2 = fig.add_subplot(2,2,2)ax3 = fig.add_subplot(2,2,3)ax4 = fig.add_subplot(2,2,4)df1 = pd.DataFrame(np.random.randn(3,5),columns = ['one','two','three','four','five'])df2 = pd.DataFrame(np.random.randn(3,5),columns = ['one','two','three','four','five'])df3 = pd.DataFrame(np.random.randn(3,5),columns = ['one','two','three','four','five'])df4 = pd.DataFrame(np.random.randn(3,5),columns = ['one','two','three','four','five'])df1.plot(ax = ax1, title = "df1", grid = 'on')df2.plot(ax = ax2, title = "df1", grid = 'on')df3.plot(ax = ax3, title = "df1", grid = 'on')df4.plot(ax = ax4, title = "df1", grid = 'on')plt.show()

运行结果如下

可以看出，随机生成了几个dataframe,在一个figure()中生成了四个子图，每个子图的图例都是dataframe.columns里的值，那么如何移除这些图例？

import pandas as pdimport numpy as npimport matplotlib.pyplot as pltfig = plt.figure(1)ax1 = fig.add_subplot(2,2,1)ax2 = fig.add_subplot(2,2,2)ax3 = fig.add_subplot(2,2,3)ax4 = fig.add_subplot(2,2,4)df1 = pd.DataFrame(np.random.randn(3,5),columns = ['one','two','three','four','five'])df2 = pd.DataFrame(np.random.randn(3,5),columns = ['one','two','three','four','five'])df3 = pd.DataFrame(np.random.randn(3,5),columns = ['one','two','three','four','five'])df4 = pd.DataFrame(np.random.randn(3,5),columns = ['one','two','three','four','five'])df1.plot(ax = ax1, title = "df1", grid = 'on')df2.plot(ax = ax2, title = "df1", grid = 'on')df3.plot(ax = ax3, title = "df1", grid = 'on')df4.plot(ax = ax4, title = "df1", grid = 'on')ax1.legend_.remove() ##移除子图ax1中的图例ax2.legend_.remove() ##移除子图ax2中的图例ax3.legend_.remove() ##移除子图ax3中的图例plt.show()

可以看出ax1,ax2,ax3中的图例都被移除了，但是上图还不是很美观？有没有什么办法将图例放到图外面呢？请看:

import pandas as pdimport numpy as npimport matplotlib.pyplot as pltfig = plt.figure(1)ax1 = fig.add_subplot(2,2,1)ax2 = fig.add_subplot(2,2,2)ax3 = fig.add_subplot(2,2,3)ax4 = fig.add_subplot(2,2,4)df1 = pd.DataFrame(np.random.randn(3,5),columns = ['one','two','three','four','five'])df2 = pd.DataFrame(np.random.randn(3,5),columns = ['one','two','three','four','five'])df3 = pd.DataFrame(np.random.randn(3,5),columns = ['one','two','three','four','five'])df4 = pd.DataFrame(np.random.randn(3,5),columns = ['one','two','three','four','five'])df1.plot(ax = ax1, title = "df1", grid = 'on')df2.plot(ax = ax2, title = "df1", grid = 'on')df3.plot(ax = ax3, title = "df1", grid = 'on')df4.plot(ax = ax4, title = "df1", grid = 'on')ax1.legend_.remove()ax2.legend_.remove()ax3.legend_.remove()ax4.legend(loc=2, bbox_to_anchor=(1.05,1.0),borderaxespad = 0.) ##设置ax4中legend的位置，将其放在图外plt.show()

其中参数loc用于设置legend的位置

bbox_to_anchor用于在bbox_transform坐标（默认轴坐标）中为图例指定任意位置。

以上这篇python matplotlib实现将图例放在图外就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持。