>>> df = pd.DataFrame({'col_1': ['value_1', 'value_2', ... 'value_3', 'value_4'], ... 'col_2': [value_1, value_2, value_3, value_4]}) >>> df >>> df.groupby(['column_name']).mean() new_df = pd.DataFrame(df.groupby(['col_1'])['col_2'].count())
# applying groupby() function to # group the data on team value. gk = df.groupby('Team') # Let's print the first entries # in all the groups formed. gk.first()