parameters: (
      path: FilePathOrBuffer, columns: Optional[List[str]] = None, **kwargs,
  )
return_statement: return result
docstring: Load an ORC object from the file path, returning a DataFrame.
  
      .. versionadded:: 1.0.0
  
      Parameters
      ----------
      path : str, path object or file-like object
          Any valid string path is acceptable. The string could be a URL. Valid
          URL schemes include http, ftp, s3, and file. For file URLs, a host is
          expected. A local file could be:
          ``file://localhost/path/to/table.orc``.
  
          If you want to pass in a path object, pandas accepts any
          ``os.PathLike``.
  
          By file-like object, we refer to objects with a ``read()`` method,
          such as a file handler (e.g. via builtin ``open`` function)
          or ``StringIO``.
      columns : list, default None
          If not None, only these columns will be read from the file.
      **kwargs
          Any additional kwargs are passed to pyarrow.
  
      Returns
      -------
      DataFrame
docstring_summary: Load an ORC object from the file path, returning a DataFrame.
docstring_tokens: Load an ORC object from the file path returning a DataFrame .
function: def read_orc(
      path: FilePathOrBuffer, columns: Optional[List[str]] = None, **kwargs,
  ) -> "DataFrame":
      """
      Load an ORC object from the file path, returning a DataFrame.
  
      .. versionadded:: 1.0.0
  
      Parameters
      ----------
      path : str, path object or file-like object
          Any valid string path is acceptable. The string could be a URL. Valid
          URL schemes include http, ftp, s3, and file. For file URLs, a host is
          expected. A local file could be:
          ``file://localhost/path/to/table.orc``.
  
          If you want to pass in a path object, pandas accepts any
          ``os.PathLike``.
  
          By file-like object, we refer to objects with a ``read()`` method,
          such as a file handler (e.g. via builtin ``open`` function)
          or ``StringIO``.
      columns : list, default None
          If not None, only these columns will be read from the file.
      **kwargs
          Any additional kwargs are passed to pyarrow.
  
      Returns
      -------
      DataFrame
      """
  
      # we require a newer version of pyarrow than we support for parquet
      import pyarrow
  
      if distutils.version.LooseVersion(pyarrow.__version__) < "0.13.0":
          raise ImportError("pyarrow must be >= 0.13.0 for read_orc")
  
      import pyarrow.orc
  
      path, _, _, _ = get_filepath_or_buffer(path)
      orc_file = pyarrow.orc.ORCFile(path)
      result = orc_file.read(columns=columns, **kwargs).to_pandas()
      return result
function_tokens: def read_orc ( path : FilePathOrBuffer , columns : Optional [ List [ str ] ] = None , * * kwargs , ) -> "DataFrame" : # we require a newer version of pyarrow than we support for parquet import pyarrow if distutils . version . LooseVersion ( pyarrow . __version__ ) < "0.13.0" : raise ImportError ( "pyarrow must be >= 0.13.0 for read_orc" ) import pyarrow . orc path , _ , _ , _ = get_filepath_or_buffer ( path ) orc_file = pyarrow . orc . ORCFile ( path ) result = orc_file . read ( columns = columns , * * kwargs ) . to_pandas ( ) return result