Pandas: join DataFrames on field with different names?

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爱一瞬间的悲伤
爱一瞬间的悲伤 2020-12-05 04:19

According to this documentation I can only make a join between fields having the same name.

Do you know if it\'s possible to join two DataFrames on a field having di

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  • 2020-12-05 04:37

    df2['id_key'] = df2['fk_key'].str.lower()

    df1['id_key'] = df1['id_key'].str.lower()

    Now try to merge the dataframes

    df3 = pd.merge(df2,df1,how='inner', on='id_key')

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  • 2020-12-05 04:52

    I think what you want is possible using merge. Pass in the keyword arguments for left_on and right_on to tell Pandas which column(s) from each DataFrame to use as keys:

    pandas.merge(df1, df2, how='left', left_on=['id_key'], right_on=['fk_key'])
    

    The documentation describes this in more detail on this page.

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