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# pandas.io.pytables.HDFStore.select

`HDFStore.``select`(key, where=None, start=None, stop=None, columns=None, iterator=False, chunksize=None, auto_close=False, **kwargs)

  Retrieve pandas object stored in file, optionally based on where criteria

  Parameters : | key : object where : list of Term (or convertable) objects, optional start : integer (defaults to None), row number to start selection stop : integer (defaults to None), row number to stop selection columns : a list of columns that if not None, will limit the return columns iterator : boolean, return an iterator, default False chunksize : nrows to include in iteration, return an iterator auto_close : boolean, should automatically close the store when finished, default is False
  Returns : | The selected object

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