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Apply multiple functions to multiple groupby columns
...6 0.439661 0.914612 1
3 0.133466 0.447946 0.014815 0.130781 0.268290 1
In [26]: f = {'A':['sum','mean'], 'B':['prod']}
In [27]: df.groupby('GRP').agg(f)
Out[27]:
A B
sum mean prod
GRP
0 0.719580 0.359790 0.102004
1 0.454824 0....
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Benjamin
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When to use Tornado, when to use Twisted / Cyclone / GEvent / other [closed]
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Why are preprocessor macros evil and what are the alternatives?
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@FrancescoDondi: stackoverflow.com/questions/4176328/…...