Saving datetime64 with timezone to HDF5
An attempt to store a dataframe with datetime64+tz column (introduced in pandas 0.17) results in a TypeError exception

``` python
import pandas as pd
```

``` python
df = pd.DataFrame(pd.date_range('2015-01-01', '2015-01-02', freq='T'), columns=['time'])
df.time = df.time.dt.tz_localize('UTC')
df.dtypes
```

```
time    datetime64[ns, UTC]
dtype: object
```

``` python
df.to_hdf('/tmp/data.h5', 'data')
```

```
---------------------------------------------------------------------------

TypeError                                 Traceback (most recent call last)

<ipython-input-3-871011f2131e> in <module>()
----> 1 df.to_hdf('/tmp/data.h5', 'data')


/usr/lib/python3.5/site-packages/pandas/core/generic.py in to_hdf(self, path_or_buf, key, **kwargs)
    936 
    937         from pandas.io import pytables
--> 938         return pytables.to_hdf(path_or_buf, key, self, **kwargs)
    939 
    940     def to_msgpack(self, path_or_buf=None, **kwargs):


/usr/lib/python3.5/site-packages/pandas/io/pytables.py in to_hdf(path_or_buf, key, value, mode, complevel, complib, append, **kwargs)
    268         with HDFStore(path_or_buf, mode=mode, complevel=complevel,
    269                        complib=complib) as store:
--> 270             f(store)
    271     else:
    272         f(path_or_buf)


/usr/lib/python3.5/site-packages/pandas/io/pytables.py in <lambda>(store)
    263         f = lambda store: store.append(key, value, **kwargs)
    264     else:
--> 265         f = lambda store: store.put(key, value, **kwargs)
    266 
    267     if isinstance(path_or_buf, string_types):


/usr/lib/python3.5/site-packages/pandas/io/pytables.py in put(self, key, value, format, append, **kwargs)
    825             format = get_option("io.hdf.default_format") or 'fixed'
    826         kwargs = self._validate_format(format, kwargs)
--> 827         self._write_to_group(key, value, append=append, **kwargs)
    828 
    829     def remove(self, key, where=None, start=None, stop=None):


/usr/lib/python3.5/site-packages/pandas/io/pytables.py in _write_to_group(self, key, value, format, index, append, complib, encoding, **kwargs)
   1263 
   1264         # write the object
-> 1265         s.write(obj=value, append=append, complib=complib, **kwargs)
   1266 
   1267         if s.is_table and index:


/usr/lib/python3.5/site-packages/pandas/io/pytables.py in write(self, obj, **kwargs)
   2803             # I have no idea why, but writing values before items fixed #2299
   2804             blk_items = data.items.take(blk.mgr_locs)
-> 2805             self.write_array('block%d_values' % i, blk.values, items=blk_items)
   2806             self.write_index('block%d_items' % i, blk_items)
   2807 


/usr/lib/python3.5/site-packages/pandas/io/pytables.py in write_array(self, key, value, items)
   2584                         self.group, key)._v_attrs.value_type = 'timedelta64'
   2585                 else:
-> 2586                     self._handle.create_array(self.group, key, value)
   2587 
   2588         getattr(self.group, key)._v_attrs.transposed = transposed


/usr/lib/python3.5/site-packages/tables/file.py in create_array(self, where, name, obj, title, byteorder, createparents, atom, shape)
   1135                                     strides=(0,)*len(shape))
   1136         else:
-> 1137             flavor = flavor_of(obj)
   1138             # use a temporary object because converting obj at this stage
   1139             # breaks some test. This is soultion performs a double,


/usr/lib/python3.5/site-packages/tables/flavor.py in flavor_of(array)
    194     raise TypeError(
    195         "objects of type ``%s`` are not supported in this context, sorry; "
--> 196         "supported objects are: %s" % (type_name, supported_descs))
    197 
    198 


TypeError: objects of type ``DatetimeIndex`` are not supported in this context, sorry; supported objects are: NumPy array, record or scalar; homogeneous list or tuple, integer, float, complex or bytes
```

``` python
pd.show_versions()
```

```
INSTALLED VERSIONS
------------------
commit: None
python: 3.5.0.final.0
python-bits: 64
OS: Linux
OS-release: 4.2.2-1-ARCH
machine: x86_64
processor: 
byteorder: little
LC_ALL: None
LANG: pl_PL.utf8

pandas: 0.17.0
nose: 1.3.7
pip: 7.1.2
setuptools: 18.3.2
Cython: 0.23.3
numpy: 1.9.3
scipy: 0.16.0
statsmodels: 0.6.1
IPython: 4.0.0
sphinx: 1.3.1
patsy: 0.4.0
dateutil: 2.4.2
pytz: 2015.6
blosc: None
bottleneck: 1.0.0
tables: 3.2.2
numexpr: 2.4.4
matplotlib: 1.4.3
openpyxl: 2.2.6
xlrd: 0.9.4
xlwt: 1.0.0
xlsxwriter: 0.7.5
lxml: 3.4.4
bs4: 4.4.0
html5lib: 0.9999999
httplib2: None
apiclient: None
sqlalchemy: 1.0.8
pymysql: None
psycopg2: 2.6.1 (dt dec pq3 ext lo64)
```
