concat columns pandas dataframe

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Maximilian
30 Sep 2017
1In [1]: df1 = pd.DataFrame(
2   ...:     {
3   ...:         "A": ["A0", "A1", "A2", "A3"],
4   ...:         "B": ["B0", "B1", "B2", "B3"],
5   ...:         "C": ["C0", "C1", "C2", "C3"],
6   ...:         "D": ["D0", "D1", "D2", "D3"],
7   ...:     },
8   ...:     index=[0, 1, 2, 3],
9   ...: )
10   
11In [8]: df4 = pd.DataFrame(
12   ...:     {
13   ...:         "B": ["B2", "B3", "B6", "B7"],
14   ...:         "D": ["D2", "D3", "D6", "D7"],
15   ...:         "F": ["F2", "F3", "F6", "F7"],
16   ...:     },
17   ...:     index=[2, 3, 6, 7],
18   ...: )
19   ...: 
20
21In [9]: result = pd.concat([df1, df4], axis=1)
22# This will merge columns of both the dataframes
source
Noel
04 Jan 2017
1import pandas as pd
2T1 = pd.merge(T1, T2, on=T1.index, how='outer')
source
Catalina
16 Apr 2019
1In [6]: result = pd.concat(frames, keys=['x', 'y', 'z'])
2
source
Sergio
22 Apr 2018
1In[17]:df['combined']=df['bar'].astype(str)+'_'+df['foo']+'_'+df['new']
2
3In[17]:df
4Out[18]: 
5   bar foo     new    combined
60    1   a   apple   1_a_apple
71    2   b  banana  2_b_banana
82    3   c    pear    3_c_pear
9
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