多索引行和列

问题描述 投票:0回答:1

如何在python中对行和列进行多重索引?

<< img src =“ https://image.soinside.com/eyJ1cmwiOiAiaHR0cHM6Ly9pLnN0YWNrLmltZ3VyLmNvbS9hdnB3MC5wbmcifQ==” alt =“在此处输入图像描述”>

python pivot-table data-science crosstab
1个回答
1
投票

https://pandas.pydata.org/pandas-docs/stable/user_guide/advanced.html#advanced-indexing-with-hierarchical-index

import pandas as pd  # Pandas isn't mentioned in the tags, but the image looks like a pandas dataframe.

idx = pd.MultiIndex.from_product([[f'System {s}' for s in 'ABC'], list('FM')], names=[None, 'Sex'])
cols = pd.MultiIndex.from_tuples([('A', 1), ('A', 2), ('B', 1), ('B', 2), ('B', 3), ('C', 1), ('C', 2)])
df = pd.DataFrame(data=1, columns=cols, index=idx)

>>> df
              A     B        C   
              1  2  1  2  3  1  2
         Sex                     
System A F    1  1  1  1  1  1  1
         M    1  1  1  1  1  1  1
System B F    1  1  1  1  1  1  1
         M    1  1  1  1  1  1  1
System C F    1  1  1  1  1  1  1
         M    1  1  1  1  1  1  1

>>> df.loc[:, 'B']
              1  2  3
         Sex         
System A F    1  1  1
         M    1  1  1
System B F    1  1  1
         M    1  1  1
System C F    1  1  1
         M    1  1  1

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