Python Pandas sorting after groupby and aggregate
You can use sort_values, but first reset_index and then set_index:
#simplier aggregationdays_off_yearly = persons.groupby(["from_year", "name"])['out_days'].sum()print(days_off_yearly)from_year name 2010 John 172011 John 15 John1 182012 John 10 John4 11 John6 4Name: out_days, dtype: int64print (days_off_yearly.reset_index() .sort_values(['from_year','out_days'],ascending=False) .set_index(['from_year','name'])) out_daysfrom_year name 2012 John4 11 John 10 John6 42011 John1 18 John 152010 John 17