Resampling with how=list_of_funcs not returning dataframe
I would suggest that the observed behaviour is not the expected when passing a how=sequence of functions in resample.
I would like to get a dataframe back where each column corresponds to applying each function to each time interval.
If you insert a value into the series, for example at 2012-06-12 01:01:00, you get that behaviour.

In [54]: stamps = [p for p in pd.DatetimeIndex(freq='60Min',start=pd.datetime(2012,6,12),periods=4)]

In [55]: stamps
Out[55]: 
[Timestamp: 2012-06-12 00:00:00,
 Timestamp: 2012-06-12 01:00:00,
 Timestamp: 2012-06-12 02:00:00,
 Timestamp: 2012-06-12 03:00:00]

In [56]: series = pd.TimeSeries([1,2,3,4], index=stamps)

In [57]: series
Out[57]: 
2012-06-12 00:00:00    1
2012-06-12 01:00:00    2
2012-06-12 02:00:00    3
2012-06-12 03:00:00    4

In [58]: series.resample( '20Min', how=(np.mean,np.sum) )
Out[58]: 
2012-06-12 00:00:00     1
2012-06-12 00:20:00   NaN
2012-06-12 00:40:00   NaN
2012-06-12 01:00:00     2
2012-06-12 01:20:00   NaN
2012-06-12 01:40:00   NaN
2012-06-12 02:00:00     3
2012-06-12 02:20:00   NaN
2012-06-12 02:40:00   NaN
2012-06-12 03:00:00     4
Freq: 20T

In [59]: 
