修改 pandas 条形图的图例 [英] Modify the legend of pandas bar plot

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问题描述

当我用熊猫做条形图时,我总是很烦,我想更改图例中标签的名称.例如,考虑以下代码的输出:

I am always bothered when I make a bar plot with pandas and I want to change the names of the labels in the legend. Consider for instance the output of this code:

import pandas as pd
from matplotlib.pyplot import *

df = pd.DataFrame({'A':26, 'B':20}, index=['N'])
df.plot(kind='bar')

现在,如果要更改图例中的名称,通常会尝试这样做:

Now, if I want to change the name in the legend, I would usually try to do:

legend(['AAA', 'BBB'])

但是我最终得到了这个

实际上,第一个虚线似乎对应于另一个补丁.

In fact, the first dashed line seems to correspond to an additional patch.

所以我想知道这里是否有一个简单的技巧来更改标签,还是我需要使用matplotlib独立绘制每个列并自己设置标签.谢谢.

So I wonder if there is a simple trick here to change the labels, or do I need to plot each of the columns independently with matplotlib and set the labels myself. Thanks.

推荐答案

更改熊猫df.plot()的标签:

import pandas as pd
from matplotlib.pyplot import *

fig, ax = subplots()
df = pd.DataFrame({'A':26, 'B':20}, index=['N'])
df.plot(kind='bar', ax=ax)
ax.legend(["AAA", "BBB"]);

少一行:

df = pd.DataFrame({'A':26, 'B':20}, index=['N'])
ax = df.plot(kind='bar')
ax.legend(["AAA", "BBB"]);

这篇关于修改 pandas 条形图的图例的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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