delete rows in pandas

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Niklas
15 May 2017
1df.drop('column_name', axis=1, inplace=True)
source
Lisa
14 Sep 2020
1df.drop(df.index[-2])
2df.drop(df.index[[3, 4]])
3df.drop(['row_1', 'row_2'])
4df.drop('column_1', axis=1)
5df[df.name != 'cell']
source
Kais
23 Jun 2016
1df = pd.DataFrame(np.arange(12).reshape(3, 4),
2...                   columns=['A', 'B', 'C', 'D'])
3>>> df
4   A  B   C   D
50  0  1   2   3
61  4  5   6   7
72  8  9  10  11
8
9Drop columns
10>>> df.drop(['B', 'C'], axis=1)
11   A   D
120  0   3
131  4   7
142  8  11
15>>> df.drop(columns=['B', 'C'])
16   A   D
170  0   3
181  4   7
192  8  11
source
Margaux
01 Sep 2016
1del df['column']
source
Simon
15 Mar 2017
1>>> df
2   A  B   C   D
30  0  1   2   3
41  4  5   6   7
52  8  9  10  11
6
7Drop a row by index
8
9    df.drop([0, 1])
10       A  B   C   D
11    2  8  9  10  11
12
13Drop columns
14
15    df.drop(columns=['B', 'C'])
16       A   D
17    0  0   3
18    1  4   7
19    2  8  11
Sofie
08 Oct 2019
1# importing pandas module
2import pandas as pd
3  
4# making data frame from csv file
5data = pd.read_csv("nba.csv", index_col ="Name" )
6  
7# dropping passed values
8data.drop(["Avery Bradley", "John Holland", "R.J. Hunter",
9                            "R.J. Hunter"], inplace = True)
10  
11# display
12data
13
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