/ Python And R Data science skills: 02/05/18

Monday 5 February 2018

54 Join in pandas

54 Join in pandas
In [6]:
import pandas as pd

left1 = pd.DataFrame({'A': ['A0', 'A1', 'A2'],
                     'B': ['B0', 'B1', 'B2']},
                      index=['K0', 'K1', 'K2']) 

right1 = pd.DataFrame({'C': ['C0', 'C2', 'C3'],
                    'D': ['D0', 'D2', 'D3']},
                      index=['K0', 'K2', 'K3'])
In [12]:
left1
Out[12]:
A B
K0 A0 B0
K1 A1 B1
K2 A2 B2
In [8]:
right1
Out[8]:
C D
K0 C0 D0
K2 C2 D2
K3 C3 D3
In [13]:
left1.join(right1)
Out[13]:
A B C D
K0 A0 B0 C0 D0
K1 A1 B1 NaN NaN
K2 A2 B2 C2 D2
In [14]:
right1.join(left1)
Out[14]:
C D A B
K0 C0 D0 A0 B0
K2 C2 D2 A2 B2
K3 C3 D3 NaN NaN
In [11]:
left1.join(right1, how='outer')
Out[11]:
A B C D
K0 A0 B0 C0 D0
K1 A1 B1 NaN NaN
K2 A2 B2 C2 D2
K3 NaN NaN C3 D3