Apply multiple functions to multiple groupby columns
The docs show how to apply multiple functions on a groupby object at a time using a dict with the output column names as the keys:
aggregate-functions
Naming returned columns in Pandas aggregate function?
FutureWarning: using a dict on a Series for aggregation is deprecated and will be removed in a future version