Pandas equivalent of SQL non-equi JOIN

Question

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         


        

Answer 1

You can using merge_asof, default is backward merge

pd.merge_asof(df1,df2, left_on='year',right_on='joined_df', by=['name', 'city'])