merge on index pandas
pd.merge(df1, df2, left_index=True, right_index=True)
merge on index pandas
pd.merge(df1, df2, left_index=True, right_index=True)
pandas left join
df.merge(df2, left_on = "doc_id", right_on = "doc_num", how = "left")
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'])
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')
joins in pandas
pd.merge(product,customer,left_on='Product_name',right_on='Purchased_Product')
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