class_docstr: pandas-on-Spark MultiIndex that corresponds to pandas MultiIndex logically. This might hold
  Spark Column internally.
  
  Parameters
  ----------
  levels : sequence of arrays
      The unique labels for each level.
  codes : sequence of arrays
      Integers for each level designating which label at each location.
  sortorder : optional int
      Level of sortedness (must be lexicographically sorted by that
      level).
  names : optional sequence of objects
      Names for each of the index levels. (name is accepted for compat).
  copy : bool, default False
      Copy the meta-data.
  verify_integrity : bool, default True
      Check that the levels/codes are consistent and valid.
  
  See Also
  --------
  MultiIndex.from_arrays  : Convert list of arrays to MultiIndex.
  MultiIndex.from_product : Create a MultiIndex from the cartesian product
                            of iterables.
  MultiIndex.from_tuples  : Convert list of tuples to a MultiIndex.
  MultiIndex.from_frame   : Make a MultiIndex from a DataFrame.
  Index : A single-level Index.
  
  Examples
  --------
  >>> ps.DataFrame({'a': ['a', 'b', 'c']}, index=[[1, 2, 3], [4, 5, 6]]).index  # doctest: +SKIP
  MultiIndex([(1, 4),
              (2, 5),
              (3, 6)],
             )
  
  >>> ps.DataFrame({'a': [1, 2, 3]}, index=[list('abc'), list('def')]).index  # doctest: +SKIP
  MultiIndex([('a', 'd'),
              ('b', 'e'),
              ('c', 'f')],
             )
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code: def name(self, name: Name) -> None:
      raise PandasNotImplementedError(
          class_name="pd.MultiIndex", property_name="name"
      )
  
imports: from functools import partial, reduce
  from typing import Any, Callable, Iterator, List, Optional, Tuple, Union, cast, no_type_check
  import pandas
  from pandas.api.types import is_hashable, is_list_like
  from pyspark.sql import functions, Column, Window
  from pyspark.sql.types import DataType
  from pyspark.sql.utils import get_column_class
  from pyspark import pandas
  from pyspark.pandas._typing import Label, Name, Scalar
  from pyspark.pandas.exceptions import PandasNotImplementedError
  from pyspark.pandas.frame import DataFrame
  from pyspark.pandas.indexes.base import Index
  from pyspark.pandas.missing.indexes import MissingPandasLikeMultiIndex
  from pyspark.pandas.series import Series, first_series
  from pyspark.pandas.utils import compare_disallow_null, is_name_like_tuple, name_like_string, scol_for, verify_temp_column_name, validate_index_loc, xor
  from pyspark.pandas.internal import InternalField, InternalFrame, NATURAL_ORDER_COLUMN_NAME, SPARK_INDEX_NAME_FORMAT
label_desc: Use image node_id 13 for calling the MultiIndex obj's underlying member method code with example usage: obj.name(name) without return types