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

You can apply a specific function to a specific column by passing in a dict.

pd.pivot_table(df, values=['D','E'], rows=['B'], aggfunc={'D':np.sum, 'E':np.mean})