Joining two dataframes where one has two columns to join on one column?

Question

FROM_GROUP_ID and TO_GROUP_ID are in one data set CALL_NUMBER is in the other.

I need to join them on FROM_GROUP_ID = CALL_NUMBER_ID and TO_GROUP_ID = CALL_NUMBER_ID. These columns all have the same ID's.

I tried using this:

master_df = pd.merge(group_df,call_df,on = ["TO_GROUP_ID = CALL_NUMBER_ID" and "FROM_GROUP_ID = CALL_NUMBER_ID"])

I keep getting an error, any suggestions?

Answer 1

assign一个新列（相同值CALL_NUMBER ）

master_df = pd.merge(group_df,call_df.assign(col=call_df['CALL_NUMBER_ID']),left_on=['TO_GROUP_ID','FROM_GROUP_ID'],right_on=['CALL_NUMBER_ID','col'])