join tables pandas

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

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

1In [99]: result = left.join(right, on=['key1', 'key2'], how='inner')
2

1import pandas as pd
2
3clients = {'Client_ID': [111,222,333,444,555],
4           'Client_Name': ['Jon Snow','Maria Green', 'Bill Jones','Rick Lee','Pamela Lopez']
5           }
6df1 = pd.DataFrame(clients, columns= ['Client_ID','Client_Name'])
7
8
9countries = {'Client_ID': [111,222,333,444,777],
10             'Client_Country': ['UK','Canada','Spain','China','Brazil']
11             }
12df2 = pd.DataFrame(countries, columns= ['Client_ID', 'Client_Country'])
13
14
15Inner_Join = pd.merge(df1, df2, how='inner', on=['Client_ID', 'Client_ID'])
16print(Inner_Join)
17

1>>> df.join(other.set_index('key'), on='key')
2  key   A    B
30  K0  A0   B0
41  K1  A1   B1
52  K2  A2   B2
63  K3  A3  NaN
74  K4  A4  NaN
85  K5  A5  NaN
9

1In [88]: result = left.join(right, how='inner')
2