I have two dataframes of different length like those:
DataFrame A:
FirstName LastName
Adam Smith
John Johnson
Da
Use DataFrame.merge + DataFrame.groupby:
new_df=( dfa.merge(dfb.groupby(['First','Last'],as_index=False).Value.sum() ,
left_on='LastName',right_on='Last',how='left')
.drop('Last',axis=1) )
print(new_df)
to join for both columns:
new_df=( dfa.merge(dfb.groupby(['First','Last'],as_index=False).Value.sum() ,
left_on=['FirstName','LastName'],right_on=['First','Last'],how='left')
.drop(['First','Last'],axis=1) )
print(new_df)
Output:
FirstName LastName Value
0 Adam Smith 5.7
1 John Johnson 2.5