Multiple aggregations of the same column using pandas GroupBy.agg()

Question

Is there a pandas built-in way to apply two different aggregating functions f1, f2 to the same column df[\"returns\"], without having to call

Answer 1

Would something like this work:

In [7]: df.groupby('dummy').returns.agg({'func1' : lambda x: x.sum(), 'func2' : lambda x: x.prod()})
Out[7]: 
              func2     func1
dummy                        
1     -4.263768e-16 -0.188565