drop columns pandas
df.drop(columns=['B', 'C'])
delete row from dataframe python
df.drop(df.index[-2]) df.drop(df.index[[3, 4]]) df.drop(['row_1', 'row_2']) df.drop('column_1', axis=1) df[df.name != 'cell']
how to delete a column from a dataframe in python
del df['column']
pandas 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 11
delete 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 data
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