import pandas as pd df = pd.DataFrame([[2001, 'D', 2], [2004, 'T', 3], [2003, 'T', 5], [2001, 'T', 4], [2004, 'D', 7]], columns=['year', 'type', 'cnt']) df_year = df.groupby(['year', 'type']).sum('cnt') print(df_year) print(df_year.index) print(df_year.loc[2001]) # Select first level print(df_year.xs('T', level='type')) # Select second level print(df_year.loc[(2004, 'D')])
Output: