df.to_hdf() blocks some supported pytables compression types ‘blosc:lz4’, ‘blosc:lz4hc’, ‘blosc:snappy’, ‘blosc:zlib’ and ‘blosc:zstd’
`df.to_hdf()` blocks access to the following compressors offered in pytables 3.3.0:  ‘blosc:lz4’, ‘blosc:lz4hc’, ‘blosc:snappy’, ‘blosc:zlib’ and ‘blosc:zstd’. 

I would like to try blosc:lz4 compression for some of the bigger data I have to compare size and speed to LZO.

``` python
df.to_hdf(path, 'df', complib='blosc:lz4')
D:\Python27\lib\site-packages\pandas\io\pytables.pyc in __init__(self, path, mode, complevel, complib, fletcher32, **kwargs)
    434 
    435         if complib not in (None, 'blosc', 'bzip2', 'lzo', 'zlib'):
--> 436             raise ValueError("complib only supports 'blosc', 'bzip2', lzo' "
    437                              "or 'zlib' compression.")
    438 

ValueError: complib only supports 'blosc', 'bzip2', lzo' or 'zlib' compression.

```
