remove rows from dataframe

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showing results for - "remove rows from dataframe"
Juan
15 Nov 2019
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
Nicolás
28 Jun 2020
1df = df.drop(df.columns[[0, 1, 3]], axis=1)  # df.columns is zero-based pd.Index
source
Michele
19 Jan 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
source
Benita
11 Nov 2018
1df.drop(df.index[2])
source
Yannis
31 Jul 2017
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
source
Isidora
14 Nov 2017
1df.drop(['Cochice', 'Pima'])
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