code: def _extract_index_level(
      table,
      result_table,
      field_name,
      field_name_to_metadata,
      types_mapper=None,
  ):
      logical_name = field_name_to_metadata[field_name]["name"]
      index_name = _backwards_compatible_index_name(
          field_name, logical_name
      )
      i = table.schema.get_field_index(field_name)
  
      if i == -1:
          # The serialized index column was removed by the user
          return result_table, None, None
  
      pd = _pandas_api.pd
  
      col = table.column(i)
      values = col.to_pandas(types_mapper=types_mapper).values
  
      if hasattr(values, "flags") and not values.flags.writeable:
          # ARROW-1054: in pandas 0.19.2, factorize will reject
          # non-writeable arrays when calling MultiIndex.from_arrays
          values = values.copy()
  
      if (
          isinstance(col.type, pa.lib.TimestampType)
          and col.type.tz is not None
      ):
          index_level = make_tz_aware(
              pd.Series(values, copy=False), col.type.tz
          )
      else:
          index_level = pd.Series(
              values, dtype=values.dtype, copy=False
          )
      result_table = result_table.remove_column(
          result_table.schema.get_field_index(field_name)
      )
      return result_table, index_level, index_name
  
imports: import ast
  from collections.abc import Sequence
  from concurrent import futures
  import concurrent.futures.thread
  from copy import deepcopy
  from itertools import zip_longest
  import json
  import operator
  import re
  import warnings
  import numpy
  import pyarrow
  from pyarrow.lib import _pandas_api, frombytes
label_desc: Use image node_id 27 for calling a global function with example usage: _extract_index_level(table, result_table, field_name, field_name_to_metadata, types_mapper) and returns: result_table,  index_level,  index_name, result_table,  None,  None