code: def read_parquet(path, engine='auto', columns=None, **kwargs):
      
  
      impl = get_engine(engine)
      return impl.read(path, columns=columns, **kwargs)
docs: Load a parquet object from the file path, returning a DataFrame.
  
      .. versionadded 0.21.0
  
      Parameters
      ----------
      path : string
          File path
      engine : {'auto', 'pyarrow', 'fastparquet'}, default 'auto'
          Parquet library to use. If 'auto', then the option
          ``io.parquet.engine`` is used. The default ``io.parquet.engine``
          behavior is to try 'pyarrow', falling back to 'fastparquet' if
          'pyarrow' is unavailable.
      columns : list, default=None
          If not None, only these columns will be read from the file.
  
          .. versionadded 0.21.1
      **kwargs
          Any additional kwargs are passed to the engine.
  
      Returns
      -------
      DataFrame