a = [0, 1, 2, 3, 4, 5] el = a.pop(2)
# 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', 'B', 'C'], axis=1, inplace=True)
df.reset_index(drop=True, inplace=True)
df = df.drop(df.columns[[0, 1, 3]], axis=1) # df.columns is zero-based pd.Index