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')
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')
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()
joins in pandas
pd.merge(product,customer,on='Product_ID')
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