Pandas equivalent of SQL non-equi JOIN

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轮回少年
轮回少年 2020-12-21 00:15

So I\'ve got 2 data-frames I\'d like to merge together.

I\'m merging on 3 columns, 2 is an easy join.

joined_df = pd.merge(df1, df2, how=\'left\', on         


        
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  •  夕颜
    夕颜 (楼主)
    2020-12-21 00:54

    Pandas merge only supports equi-joins. You'll need to add a second step that filters the result, something like this:

    joined_df = df1.merge(df2, how='left', on=['name', 'city'])
    joined_df = joined_df[joined_df.year > joined_df.year_min]
    

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