ENH: option to force slow code path (don't call apply function 1 too many times) in GroupBy.apply

>>> def applym(df):
...     print df.irow(0)['a']
...     return DataFrame({'a':[1],'b':[1]})

>>> df = DataFrame({'a':[1,1,1,2,3],'b':['a','a','a','b','c']})

>>> df.groupby('b').apply(applym)
1
1
2
3
     a  b
b        
a 0  1  1
b 0  1  1
c 0  1  1
>>>

applym is called twice on the first group.

[erwanp]

Also using groupby.apply() on little number of groups, that sometimes can be just 1 depending on User inputs. In that particular case the code is 2x slower.

An option to force the path would be quite appreciated.

[wesm]

Marked as enhancement for someday. Just have to get a groupby parameter to flow through