Answers for "pd.drop column"

drop a column pandas

df.drop(['column_1', 'Column_2'], axis = 1, inplace = True)

df drop column

df = df.drop(['B', 'C'], axis=1)

drop a column from dataframe

#working with "text" syntax for the columns:
df.drop(['column_nameA', 'column_nameB'], axis=1, inplace=True)

drop column dataframe

df.drop(columns=['Unnamed: 0'])

df.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

>>> df.drop(['B', 'C'], axis=1)
   A   D
0  0   3
1  4   7
2  8  11

OR

>>> df.drop(columns=['B', 'C'])
   A   D
0  0   3
1  4   7
2  8  11

drop column pandas

df.drop(['column_1', 'Column_2'], axis = 1, inplace = True) 
# Remove all columns between column index 1 to 3
df.drop(df.iloc[:, 1:3], inplace = True, axis = 1)