Answers for "dropping columns pandas"

85

drop a column pandas

df.drop(['column_1', 'Column_2'], axis = 1, inplace = True)
Posted by: Guest on November-08-2020
39

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  11
Posted by: Guest on February-04-2020
3

drop a column from dataframe

#working with "text" syntax for the columns:
df.drop(['column_nameA', 'column_nameB'], axis=1, inplace=True)
Posted by: Guest on August-25-2020
-2

drop a column from dataframe

#to drop by column number instead of by column label, try this to delete, e.g. the 1st, 2nd and 4th columns
df = df.drop(df.columns[[0, 1, 3]], axis=1)  # df.columns is zero-based pd.Index
Posted by: Guest on August-25-2020

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