code: def orc(self, path):
          
          if isinstance(path, basestring):
              path = [path]
          return self._df(self._jreader.orc(_to_seq(self._spark._sc, path)))
docs: Loads ORC files, returning the result as a :class:`DataFrame`.
  
          >>> df = spark.read.orc('python/test_support/sql/orc_partitioned')
          >>> df.dtypes
          [('a', 'bigint'), ('b', 'int'), ('c', 'int')]