DatetimeIndex behaves inconsistently when start and end have different precisions #9907
Description
When creating a DatetimeIndex where start has a greater precision than end for a given frequency the output DatetimeIndex will be shorter than expected
>>>pd.__version__ 0.15.2-318-g549b72f >>>pd.DatetimeIndex(start='2015-04-15 00:00:03', end='2016-04-22 00:00:04', freq='Q') 2015-06-30 00:00:03 2015-09-30 00:00:03 2015-12-31 00:00:03 2016-03-31 00:00:03 >>>pd.DatetimeIndex(start='2015-04-15 00:00:03', end='2016-04-22 00:00', freq='Q') 2015-06-30 00:00:03 2015-09-30 00:00:03 2015-12-31 00:00:03 >>>pd.DatetimeIndex(start='2015-04-15 00:00:03', end='2015-6-22 00:00:04', freq='W') 2015-04-19 00:00:03 2015-04-26 00:00:03 2015-05-03 00:00:03 2015-05-10 00:00:03 2015-05-17 00:00:03 2015-05-24 00:00:03 2015-05-31 00:00:03 2015-06-07 00:00:03 2015-06-14 00:00:03 2015-06-21 00:00:03 >>>pd.DatetimeIndex(start='2015-04-15 00:00:03', end='2015-6-22 00:00', freq='W') 2015-04-19 00:00:03 2015-04-26 00:00:03 2015-05-03 00:00:03 2015-05-10 00:00:03 2015-05-17 00:00:03 2015-05-24 00:00:03 2015-05-31 00:00:03 2015-06-07 00:00:03 2015-06-14 00:00:03