關(guān)于matplotlib如何設(shè)置圖例的位置？如何將圖例放在圖外？以及如何在一幅圖有多個(gè)子圖的情況下，刪除重復(fù)的圖例？我用一個(gè)簡(jiǎn)單的例子說(shuō)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()

運(yùn)行結(jié)果如下

可以看出，隨機(jī)生成了幾個(gè)dataframe,在一個(gè)figure()中生成了四個(gè)子圖，每個(gè)子圖的圖例都是dataframe.columns里的值，那么如何移除這些圖例？

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() ##移除子圖ax1中的圖例ax2.legend_.remove() ##移除子圖ax2中的圖例ax3.legend_.remove() ##移除子圖ax3中的圖例plt.show()

可以看出ax1,ax2,ax3中的圖例都被移除了，但是上圖還不是很美觀？有沒(méi)有什么辦法將圖例放到圖外面呢？請(qǐng)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.) ##設(shè)置ax4中l(wèi)egend的位置，將其放在圖外plt.show()

其中參數(shù)loc用于設(shè)置legend的位置

bbox_to_anchor用于在bbox_transform坐標(biāo)（默認(rèn)軸坐標(biāo)）中為圖例指定任意位置。

以上這篇python matplotlib實(shí)現(xiàn)將圖例放在圖外就是小編分享給大家的全部?jī)?nèi)容了，希望能給大家一個(gè)參考，也希望大家多多支持好吧啦網(wǎng)。