pandas concat two dataframes

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Timothe
15 Mar 2016
1df_3 = pd.concat([df_1, df_2])
2
source
Elena
17 Apr 2019
1
2In [9]: result = pd.concat([df1, df4], axis=1)
3
source
Esmay
02 Jan 2018
1import pandas as pd
2df = pd.concat(list_of_dataframes)
source
Dion
20 Jan 2018
1# Concating Means putting frames on bottom of one another
2#              ---   ---
3#              |  df1  |
4#              |  df2  |
5# Concating => |   .   |
6#              |   .   |
7#              |  dfn  |
8#              ---   ---
9# Command : pd.concat([df1,df2,...,dfn])   ; df = a dataframe
10
11				 	''':::Eaxmple;::'''
12df1 = pd.DataFrame({'A': ['A0', 'A1', 'A2', 'A3'],
13                    'B': ['B0', 'B1', 'B2', 'B3'],
14                    'C': ['C0', 'C1', 'C2', 'C3'],
15                    'D': ['D0', 'D1', 'D2', 'D3']},
16                     index=[0, 1, 2, 3])
17
18df2 = pd.DataFrame({'A': ['A4', 'A5', 'A6', 'A7'],
19                    'B': ['B4', 'B5', 'B6', 'B7'],
20                    'C': ['C4', 'C5', 'C6', 'C7'],
21                    'D': ['D4', 'D5', 'D6', 'D7']},
22                     index=[4, 5, 6, 7])
23
24df3 = pd.DataFrame({'A': ['A8', 'A9', 'A10', 'A11'],
25                    'B': ['B8', 'B9', 'B10', 'B11'],
26                    'C': ['C8', 'C9', 'C10', 'C11'],
27                    'D': ['D8', 'D9', 'D10', 'D11']},
28                     index=[8, 9, 10, 11])
29
30frames = [df1, df2, df3]
31
32result = pd.concat(frames)
33
34# Note : use ignore_index=True if you need it in pd.concat
source
Maria José
22 Jan 2017
1# provide list of dataframes 
2res = pd.concat([df1, df2])
Michelle
03 Apr 2017
1df = DataFrame({'var_1':['a','b','c'], 'var_2':[1, 2, 3], 'var_3':['apple', 'banana', 'pear']})
2cols = ['var_1', 'var_2']    # Set columns to combine
3df['combined'] = df[cols].apply(lambda row: ', '.join(row.values.astype(str)), axis=1)
4
5# Define which column is index
6df_i = df.set_index('combined') 
7
8# Set the index to None
9df_i.index.names = [None]
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