define aggfunc for each values column in pandas pivot table

Question

Was trying to generate a pivot table with multiple \"values\" columns. I know I can use aggfunc to aggregate values the way I want to, but what if I don\'t want to sum or avg bo

Answer 1

table = pivot_table(df, values=['D', 'E'], index=['A', 'C'],
                aggfunc={'D': np.mean,'E': np.sum})

table D E mean sum A C bar large 5.500000 7.500000 small 5.500000 8.500000 foo large 2.000000 4.500000 small 2.333333 4.333333