---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Cell In[6], line 1
----> 1 pd.DataFrame( { 'A': [ 'a1', pd.NA ] }, dtype = pd.ArrowDtype( pa.dictionary( pa.int32(), pa.utf8() ) ) ).value_counts( dropna = False )

File C:\Python\Lib\site-packages\pandas\core\frame.py:7519, in DataFrame.value_counts(self, subset, normalize, sort, ascending, dropna)
   7517 # Force MultiIndex for a list_like subset with a single column
   7518 if is_list_like(subset) and len(subset) == 1:  # type: ignore[arg-type]
-> 7519     counts.index = MultiIndex.from_arrays(
   7520         [counts.index], names=[counts.index.name]
   7521     )
   7523 return counts

File C:\Python\Lib\site-packages\pandas\core\indexes\multi.py:533, in MultiIndex.from_arrays(cls, arrays, sortorder, names)
    530     if len(arrays[i]) != len(arrays[i - 1]):
    531         raise ValueError("all arrays must be same length")
--> 533 codes, levels = factorize_from_iterables(arrays)
    534 if names is lib.no_default:
    535     names = [getattr(arr, "name", None) for arr in arrays]

File C:\Python\Lib\site-packages\pandas\core\arrays\categorical.py:3069, in factorize_from_iterables(iterables)
   3065 if len(iterables) == 0:
   3066     # For consistency, it should return two empty lists.
   3067     return [], []
-> 3069 codes, categories = zip(*(factorize_from_iterable(it) for it in iterables))
   3070 return list(codes), list(categories)

File C:\Python\Lib\site-packages\pandas\core\arrays\categorical.py:3069, in <genexpr>(.0)
   3065 if len(iterables) == 0:
   3066     # For consistency, it should return two empty lists.
   3067     return [], []
-> 3069 codes, categories = zip(*(factorize_from_iterable(it) for it in iterables))
   3070 return list(codes), list(categories)

File C:\Python\Lib\site-packages\pandas\core\arrays\categorical.py:3042, in factorize_from_iterable(values)
   3037     codes = values.codes
   3038 else:
   3039     # The value of ordered is irrelevant since we don't use cat as such,
   3040     # but only the resulting categories, the order of which is independent
   3041     # from ordered. Set ordered to False as default. See GH #15457
-> 3042     cat = Categorical(values, ordered=False)
   3043     categories = cat.categories
   3044     codes = cat.codes

File C:\Python\Lib\site-packages\pandas\core\arrays\categorical.py:451, in Categorical.__init__(self, values, categories, ordered, dtype, fastpath, copy)
    447 if dtype.categories is None:
    448     if isinstance(values.dtype, ArrowDtype) and issubclass(
    449         values.dtype.type, CategoricalDtypeType
    450     ):
--> 451         arr = values._pa_array.combine_chunks()
    452         categories = arr.dictionary.to_pandas(types_mapper=ArrowDtype)
    453         codes = arr.indices.to_numpy()

AttributeError: 'Index' object has no attribute '_pa_array'