df.drop(['column_1', 'Column_2'], axis = 1, inplace = True)
# axis=1 tells Python that we want to apply function on columns instead of rows # To delete the column permanently from original dataframe df, we can use the option inplace=True df.drop(['A'], axis=1, inplace=True)
df.drop(columns=['Unnamed: 0'])
df = df.drop(['B', 'C'], axis=1)
>>> df.drop(columns=['B', 'C']) A D 0 0 3 1 4 7 2 8 11