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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