dataframe concatenate

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showing results for - "dataframe concatenate"
Gabriella
24 Jan 2017
1import pandas as pd
2df = pd.concat(list_of_dataframes)
source
Jed
06 Nov 2020
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
Emily
22 Aug 2020
1# provide list of dataframes 
2res = pd.concat([df1, df2])
Klara
26 Jul 2018
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   ...: 
11
12In [2]: df2 = pd.DataFrame(
13   ...:     {
14   ...:         "A": ["A4", "A5", "A6", "A7"],
15   ...:         "B": ["B4", "B5", "B6", "B7"],
16   ...:         "C": ["C4", "C5", "C6", "C7"],
17   ...:         "D": ["D4", "D5", "D6", "D7"],
18   ...:     },
19   ...:     index=[4, 5, 6, 7],
20   ...: )
21   ...: 
22
23In [3]: df3 = pd.DataFrame(
24   ...:     {
25   ...:         "A": ["A8", "A9", "A10", "A11"],
26   ...:         "B": ["B8", "B9", "B10", "B11"],
27   ...:         "C": ["C8", "C9", "C10", "C11"],
28   ...:         "D": ["D8", "D9", "D10", "D11"],
29   ...:     },
30   ...:     index=[8, 9, 10, 11],
31   ...: )
32   ...: 
33
34In [4]: frames = [df1, df2, df3]
35
36In [5]: result = pd.concat(frames)
Jaxon
09 Sep 2017
1# Pandas for Python
2
3df['col1 & col2'] = df['col1']+df['col2']
4
5#Output
6#col1	col2	col1 & col2
7#A1		A2		A1A2
8#B1		B2		B1B2
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