绘制 Pandas 多索引条形图-Python问题

Plotting Pandas Multiindex Bar Chart(绘制 Pandas 多索引条形图)

本文介绍了绘制 Pandas 多索引条形图的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

如何将 Python Pandas 多索引数据框绘制为带有组标签的条形图?是否有任何绘图库直接支持这一点?这个

如果您不想堆叠条形图:

data.unstack().plot(kind='bar')

How can I plot a Python Pandas multiindex dataframe as a bar chart with group labels? Do any of the plotting libraries directly support this? This SO post shows a custom solution using matplotlib, but is there direct support for it?

As an example:

quarter  company
Q1       Blue       100
         Green      300
Q2       Blue       200
         Green      350
Q3       Blue       300
         Green      400
Q4       Blue       400
         Green      450
Name: count, dtype: int64

...can this dataframe be plotted with group labels like this?

Thanks in advance,

Rafi

解决方案

import pandas as pd

data = pd.DataFrame([
        ('Q1','Blue',100),
        ('Q1','Green',300),
        ('Q2','Blue',200),
        ('Q2','Green',350),
        ('Q3','Blue',300),
        ('Q3','Green',400),
        ('Q4','Blue',400),
        ('Q4','Green',450),
    ], 
    columns=['quarter', 'company', 'value']
)
data = data.set_index(['quarter', 'company']).value

data.unstack().plot(kind='bar', stacked=True)

If you don't want to stack your bar chart:

data.unstack().plot(kind='bar')

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