In [7]: index = date_range(‘20131009 08:30’,‘20131010 10:05’,freq=‘5T’)
In [8]: df = Dataframe(randn(len(index),2),columns=list('AB'),index=index)In [9]: dfOut[9]: <class 'pandas.core.frame.Dataframe'>DatetimeIndex: 308 entries, 2013-10-09 08:30:00 to 2013-10-10 10:05:00Freq: 5TData columns (total 2 columns):A 308 non-null valuesB 308 non-null valuesdtypes: float64(2)In [10]: df.between_time('9:00','10:00')Out[10]: A B2013-10-09 09:00:00 -0.664639 1.5974532013-10-09 09:05:00 1.197290 -0.5006212013-10-09 09:10:00 1.470186 -0.9635532013-10-09 09:15:00 0.181314 -0.2424152013-10-09 09:20:00 0.969427 -1.1566092013-10-09 09:25:00 0.261473 0.4139262013-10-09 09:30:00 -0.003698 0.0549532013-10-09 09:35:00 0.418147 -0.4172912013-10-09 09:40:00 0.413565 -1.0962342013-10-09 09:45:00 0.460293 1.2002772013-10-09 09:50:00 -0.702444 -0.0415972013-10-09 09:55:00 0.548385 -0.8323822013-10-09 10:00:00 -0.526582 0.7583782013-10-10 09:00:00 0.926738 0.1782042013-10-10 09:05:00 -1.178534 0.1842052013-10-10 09:10:00 1.408258 0.9485262013-10-10 09:15:00 0.523318 0.3273902013-10-10 09:20:00 -0.193174 0.8632942013-10-10 09:25:00 1.355610 -2.1608642013-10-10 09:30:00 1.930622 0.1746832013-10-10 09:35:00 0.273551 0.8706822013-10-10 09:40:00 0.974756 -0.3277632013-10-10 09:45:00 1.808285 0.0802672013-10-10 09:50:00 0.842119 0.3686892013-10-10 09:55:00 1.065585 0.8020032013-10-10 10:00:00 -0.324894 0.781885
