python pandas drop
df = pd.DataFrame(np.arange(12).reshape(3, 4),
... columns=['A', 'B', 'C', 'D'])
>>> df
A B C D
0 0 1 2 3
1 4 5 6 7
2 8 9 10 11
Drop columns
>>> df.drop(['B', 'C'], axis=1)
A D
0 0 3
1 4 7
2 8 11
>>> df.drop(columns=['B', 'C'])
A D
0 0 3
1 4 7
2 8 11pandas how to delete a row
>>> df
A B C D
0 0 1 2 3
1 4 5 6 7
2 8 9 10 11
Drop a row by index
df.drop([0, 1])
A B C D
2 8 9 10 11
Drop columns
df.drop(columns=['B', 'C'])
A D
0 0 3
1 4 7
2 8 11delete rows in pandas
# importing pandas module
import pandas as pd
# making data frame from csv file
data = pd.read_csv("nba.csv", index_col ="Name" )
# dropping passed values
data.drop(["Avery Bradley", "John Holland", "R.J. Hunter",
"R.J. Hunter"], inplace = True)
# display
dataremove rows from dataframe
df.drop(['Cochice', 'Pima'])Copyright © 2021 Codeinu
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