Error in storing large dataframe to HDFStore
HDFstore is working much better with the latest release, but I am encountering a new error I wanted to report:

df = get_joined_data(data_prefix, data_rev_prefix, date_prefix, store_filename)
  File "XXXXXX", line 739, in get_joined_data
    write_dataframe("joined_{0}".format(date_prefix), df, store)
  File "XXXXXXX", line 55, in write_dataframe
    store[name] = df
  File "/Library/Python/2.7/site-packages/pandas/io/pytables.py", line 218, in **setitem**
    self.put(key, value)
  File "/Library/Python/2.7/site-packages/pandas/io/pytables.py", line 458, in put
    self._write_to_group(key, value, table=table, append=append, *_kwargs)
  File "/Library/Python/2.7/site-packages/pandas/io/pytables.py", line 788, in _write_to_group
    s.write(obj = value, append=append, complib=complib, *_kwargs)
  File "/Library/Python/2.7/site-packages/pandas/io/pytables.py", line 1837, in write
    self.write_array('block%d_values' % i, blk.values)
  File "/Library/Python/2.7/site-packages/pandas/io/pytables.py", line 1627, in write_array
    vlarr.append(value)
  File "/Library/Python/2.7/site-packages/tables-2.4.0-py2.7-macosx-10.8-intel.egg/tables/vlarray.py", line 480, in append
    self._append(nparr, nobjects)
  File "hdf5Extension.pyx", line 1499, in tables.hdf5Extension.VLArray._append (tables/hdf5Extension.c:13764)
OverflowError: value too large to convert to int

Not at all sure this is an actual pandas issue, but thought I would report it nonetheless.
