merge dataframe

1# df1 as main df and use the feild from df2 and map it into df1
2
3df1.merge(df2,on='columnName',how='left')

1df_merge_col = pd.merge(df_row, df3, on='id')
2
3df_merge_col

1pd.merge(product,customer,left_on='Product_name',right_on='Purchased_Product')

1import pandas as pd
2df1 = pd.DataFrame({'lkey': ['foo', 'bar', 'baz', 'foo'],
3                    'value': [1, 2, 3, 5]})
4df2 = pd.DataFrame({'rkey': ['foo', 'bar', 'baz', 'foo'],
5                    'value': [5, 6, 7, 8]})
6df1.merge(df2, left_on='lkey', right_on='rkey')

1df['A'] = df[a_cols].apply(' '.join, axis=1)

1In [46]: result = pd.merge(left, right, how="right", on=["key1", "key2"])
2