BUG: .date and timezones
from [SO](http://stackoverflow.com/questions/34078316/tz-aware-datetime-series-producing-utc-based-date-output-in-pandas-series-app/34078346#34078346)

```
In [1]: s = Series(pd.to_datetime([1396670200, 1405733045, 1448248441],unit='s')).dt.tz_localize('UTC').dt.tz_convert('US/Eastern')

In [2]: s
Out[2]: 
0   2014-04-04 23:56:40-04:00
1   2014-07-18 21:24:05-04:00
2   2015-11-22 22:14:01-05:00
dtype: datetime64[ns, US/Eastern]
```

These are correct as they are in the local timezone, but we are not propogating the tz here and just returning a naive date (in local zone)

```
In [3]: s.dt.date
Out[3]: 
0    2014-04-04
1    2014-07-18
2    2015-11-22
dtype: object

In [4]: s.dt.date[0]
Out[4]: datetime.date(2014, 4, 4)
```

These are converted to UTC, then returning a naive date
These should be local & with a timezone attached

```
In [5]: s.apply(lambda x: x.date())
Out[5]: 
0    2014-04-05
1    2014-07-19
2    2015-11-23
dtype: object
```

further, test

`s.apply(lambda x: x)`
