Answers for "how to join on two columns in pandas"

Python

pd merge on multiple columns

new_df = pd.merge(A_df, B_df,  how='left', left_on=['A_c1','c2'], right_on = ['B_c1','c2'])

Posted by: Guest on March-26-2020

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join on column pandas

# df1 as main df and use the feild from df2 and map it into df1

df1.merge(df2,on='columnName',how='left')

Posted by: Guest on May-15-2020

left join two dataframes pandas on two different column names

Both_DFs = pd.merge(df1,df2, how='left',left_on=['A','B'],right_on=['A','CC']).dropna()

Posted by: Guest on September-27-2021

Source

pandas join two columns

df['FullName'] = df[['First_Name', 'Last_Name']].agg('-'.join, axis=1)

Posted by: Guest on October-15-2021

-1

how to join two dataframe in pandas based on two column

merged_df = left_df.merge(right_df, how='inner', left_on=["A", "B"], right_on=["A2","B2"])

Posted by: Guest on January-29-2021

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