class_docstr: Parameters
  ----------
  data : mapping
      Mapping of keys to column values.
  multiindex : bool, optional
      Whether tuple keys represent a hierarchical
      index with multiple "levels" (default=False).
  level_names : tuple, optional
      Tuple containing names for each of the levels.
      For a non-hierarchical index, a tuple of size 1
      may be passe.
  rangeindex : bool, optional
      Whether the keys should be returned as a RangeIndex
      in `to_pandas_index` (default=False).
  label_dtype : Dtype, optional
      What dtype should be returned in `to_pandas_index`
      (default=None).
class_docstr_tok: ["Parameters","--","--","--","--","--","data",":","mapping","Mapping","of","keys","to","column","values",".","multiindex",":","bool",",","optional","Whether","tuple","keys","represent","a","hierarchical","index","with","multiple","``","levels","''","(","default=False",")",".","level_names",":","tuple",",","optional","Tuple","containing","names","for","each","of","the","levels",".","For","a","non-hierarchical","index",",","a","tuple","of","size","1","may","be","passe",".","rangeindex",":","bool",",","optional","Whether","the","keys","should","be","returned","as","a","RangeIndex","in","`","to_pandas_index","`","(","default=False",")",".","label_dtype",":","Dtype",",","optional","What","dtype","should","be","returned","in","`","to_pandas_index","`","(","default=None",")","."]
docstr: Convert the keys of the ColumnAccessor to a Pandas Index object.
docstr_tok: ["Convert","the","keys","of","the","ColumnAccessor","to","a","Pandas","Index","object","."]
code: def to_pandas_index(self) -> pd.Index:
      """Convert the keys of the ColumnAccessor to a Pandas Index object."""
      if self.multiindex and len(self.level_names) > 0:
          # Using `from_frame()` instead of `from_tuples`
          # prevents coercion of values to a different type
          # (e.g., ''->NaT)
          with warnings.catch_warnings():
              # Specifying `dtype="object"` here and passing that to
              # `from_frame` is deprecated in pandas, but we cannot remove
              # that without also losing compatibility with other current
              # pandas behaviors like the NaT inference above. For now we
              # must catch the warnings internally, but we will need to
              # remove this when we implement compatibility with pandas 2.0,
              # which will remove these compatibility layers.
              assert Version(pd.__version__) < Version("2.0.0")
              warnings.simplefilter("ignore")
              result = pd.MultiIndex.from_frame(
                  pd.DataFrame(
                      self.names,
                      columns=self.level_names,
                      dtype="object",
                  ),
              )
      else:
          # Determine if we can return a RangeIndex
          if self.rangeindex:
              if not self.names:
                  return pd.RangeIndex(
                      start=0, stop=0, step=1, name=self.name
                  )
              elif cudf.api.types.infer_dtype(self.names) == "integer":
                  if len(self.names) == 1:
                      start = self.names[0]
                      return pd.RangeIndex(
                          start=start,
                          stop=start + 1,
                          step=1,
                          name=self.name,
                      )
                  uniques = np.unique(np.diff(np.array(self.names)))
                  if len(uniques) == 1 and uniques[0] != 0:
                      diff = uniques[0]
                      new_range = range(
                          self.names[0], self.names[-1] + diff, diff
                      )
                      return pd.RangeIndex(new_range, name=self.name)
          result = pd.Index(
              self.names,
              name=self.name,
              tupleize_cols=False,
              dtype=self.label_dtype,
          )
      return result
  
imports: from __future__ import annotations
  import itertools
  import warnings
  from collections import abc
  from functools import cached_property, reduce
  from typing import TYPE_CHECKING, Any, Callable, Dict, Mapping, Optional, Tuple, Union
  import numpy
  import pandas
  from packaging.version import Version
  from pandas.api.types import is_bool
  from typing_extensions import Self
  import cudf
  from cudf.core import column
label_desc: Use image node_id 18 for calling the ColumnAccessor obj's underlying member method code with example usage: obj.to_pandas_index() and returns: result, pd, pd, pd