Pandas groupby with custom functions on each column

Asked Mar 21 '18 at 18:55

Active Mar 21 '18 at 18:55

Viewed 113 times

Given this df, how can I apply a pandas groupby with custom functions for each column such that the resulting dataframe looks like this?

Also, some other ids have multiple seasons over many years, so is there any way to capture the change in value over the seasons?

asked Mar 21 '18 at 18:55

wolverinejohn

Please make your examples copy-pastable, thanks. – cs95 Mar 21 '18 at 18:57
Related / possible duplicate: [Apply multiple functions to multiple groupby columns](https://stackoverflow.com/questions/14529838/apply-multiple-functions-to-multiple-groupby-columns) – jpp Mar 21 '18 at 19:01
I'm not sure SO supports tables – wolverinejohn Mar 21 '18 at 19:14

0 Answers0