read_hdf does not work with auto_close argument

[wikiped]

When trying to create DataFrame from HDF Store with auto_close=True or False it breaks with error:

somedf = pd.DataFrame({'a':[1,2], 'b':[3,4]})
somedf.to_hdf('hdf_file', 'somekey', format='t', mode='w')
newdf = pd.read_hdf('hdf_file', 'somekey', auto_close=True)
newdf

error:

d:\Anaconda\envs\py2k\lib\site-packages\pandas\io\pytables.pyc in <lambda>(store, auto_close)
    303 
    304     f = lambda store, auto_close: store.select(
--> 305         key, auto_close=auto_close, **kwargs)
    306 
    307     if isinstance(path_or_buf, string_types):

TypeError: select() got multiple values for keyword argument 'auto_close'

The same without auto_close argument works fine:

newdf = pd.read_hdf('hdf_file', 'somekey')
newdf

yielding:

   a  b
0  1  3
1  2  4

pandas 0.15.2, pytables 3.1.1 on Win8.1x64

[jreback]

you don't need to pass this argument to read_hdf, by definition these are opened/closed correctly.

[TomAugspurger]

Should probably remove that from the docstring then. Is there ever a case where auto_closing isn't desired? Performance-sensitive tasks maybe?

[jreback]

this is an internal argument for all intents (so maybe change to _auto_close). Because it needs to be called in context.