BUG: DataFrame.to_records() bug in converting datetime64 index with timezone
#### Fix

in to_records(), use pandas.core.common.is_datetime64_any_dtype instead of pandas.core.common.is_datetime64_dtype to check to see if the index is in fact of the datetime64 type.
#### Code Sample, a copy-pastable example if possible

```
import datetime
import pandas as pd
import pytz

data = [datetime.datetime.now(pytz.timezone('UTC')) for _ in range(10)]
df = pd.DataFrame({'datetime': data})
df.set_index('datetime', inplace=True)
df.to_records()
```
#### Expected Output

data
#### output of `pd.show_versions()`
## INSTALLED VERSIONS

commit: None
python: 3.5.2.final.0
python-bits: 64
OS: Darwin
OS-release: 15.6.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8

pandas: 0.18.1
nose: 1.3.7
pip: 8.1.2
setuptools: 20.3
Cython: 0.23.4
numpy: 1.10.4
scipy: 0.17.0
statsmodels: 0.6.1
xarray: None
IPython: 4.1.2
sphinx: 1.3.5
patsy: 0.4.0
dateutil: 2.5.1
pytz: 2016.2
blosc: None
bottleneck: 1.0.0
tables: 3.2.2
numexpr: 2.5
matplotlib: 1.5.1
openpyxl: 2.3.2
xlrd: 0.9.4
xlwt: 1.0.0
xlsxwriter: 0.8.4
lxml: 3.6.0
bs4: 4.4.1
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: 1.0.12
pymysql: None
psycopg2: None
jinja2: 2.8
boto: 2.39.0
pandas_datareader: None
