DOC: DataFrame.to_hdf() docstring does not mention data_columns
#### Code Sample, a copy-pastable example if possible

To be able to do on-disk filtering per column, one needs to store not only in `table` format, but also create an index in the HDF file for the columns required to be indexed, or setting it to `True`, for all columns to be indexed.
This needs to be done by using the method parameter `data_columns`, which is completely missing from the docstring of `to_hdf`:

``` python
df.to_hdf('teststore.hdf', 'df',format='t', data_columns=True)
```

Docstring is [here](https://github.com/pydata/pandas/blob/e462ece64b7cb12fe7cad6e085f62f3bfe9785c6/pandas/core/generic.py#L1053-L1093)
#### output of `pd.show_versions()`
## INSTALLED VERSIONS

commit: None
python: 3.5.1.final.0
python-bits: 64
OS: Darwin
OS-release: 14.5.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8

pandas: 0.18.0
nose: None
pip: 8.1.1
setuptools: 20.7.0
Cython: 0.24
numpy: 1.11.0
scipy: 0.17.0
statsmodels: None
xarray: 0.7.1
IPython: 4.2.0
sphinx: 1.4.1
patsy: None
dateutil: 2.5.2
pytz: 2016.3
blosc: None
bottleneck: None
tables: 3.2.2
numexpr: 2.5.2
matplotlib: 1.5.1
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.8
boto: None
