Group pandas dataframe by a nested dictionary key

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梦如初夏
梦如初夏 2021-01-20 17:32

I have a pandas dataframe where one of the columns is dictionary type. This is an example dataframe:

import pandas as pd
df = pd.DataFrame({\'a\': [1,2,3], 
         


        
2条回答
  •  轻奢々
    轻奢々 (楼主)
    2021-01-20 18:15

    Option 1

    df.groupby(df.version.apply(lambda x: x['major'])).size()
    
    version
    7    2
    8    1
    dtype: int64
    

    df.groupby(df.version.apply(lambda x: x['major']))[['a', 'b']].sum()
    

    Option 2

    df.groupby(df.version.apply(pd.Series).major).size()
    
    major
    7    2
    8    1
    dtype: int64
    

    df.groupby(df.version.apply(pd.Series).major)[['a', 'b']].sum()
    

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