class_docstr: ExtensionArray that is backed by a single NumPy ndarray.
class_docstr_tok: ["ExtensionArray","that","is","backed","by","a","single","NumPy","ndarray","."]
code: def fillna(
      self,
      value=None,
      method=None,
      limit: int | None = None,
      copy: bool = True,
  ) -> Self:
      value, method = validate_fillna_kwargs(
          value, method, validate_scalar_dict_value=False
      )
  
      mask = self.isna()
      # error: Argument 2 to "check_value_size" has incompatible type
      # "ExtensionArray"; expected "ndarray"
      value = missing.check_value_size(
          value,
          mask,  # type: ignore[arg-type]
          len(self),
      )
  
      if mask.any():
          if method is not None:
              # (for now) when self.ndim == 2, we assume axis=0
              func = missing.get_fill_func(method, ndim=self.ndim)
              npvalues = self._ndarray.T
              if copy:
                  npvalues = npvalues.copy()
              func(npvalues, limit=limit, mask=mask.T)
              npvalues = npvalues.T
  
              # TODO: NumpyExtensionArray didn't used to copy, need tests
              #  for this
              new_values = self._from_backing_data(npvalues)
          else:
              # fill with value
              if copy:
                  new_values = self.copy()
              else:
                  new_values = self[:]
              new_values[mask] = value
      else:
          # We validate the fill_value even if there is nothing to fill
          if value is not None:
              self._validate_setitem_value(value)
  
          if not copy:
              new_values = self[:]
          else:
              new_values = self.copy()
      return new_values
  
imports: from __future__ import annotations
  from functools import wraps
  from typing import TYPE_CHECKING, Any, Literal, cast, overload
  import numpy
  from pandas._libs import lib
  from pandas._libs.arrays import NDArrayBacked
  from pandas._libs.tslibs import is_supported_dtype
  from pandas._typing import ArrayLike, AxisInt, Dtype, F, FillnaOptions, PositionalIndexer2D, PositionalIndexerTuple, ScalarIndexer, Self, SequenceIndexer, Shape, TakeIndexer, npt
  from pandas.errors import AbstractMethodError
  from pandas.util._decorators import doc
  from pandas.util._validators import validate_bool_kwarg, validate_fillna_kwargs, validate_insert_loc
  from pandas.core.dtypes.common import pandas_dtype
  from pandas.core.dtypes.dtypes import DatetimeTZDtype, ExtensionDtype, PeriodDtype
  from pandas.core.dtypes.missing import array_equivalent
  from pandas.core import missing
  from pandas.core.algorithms import take, unique, value_counts_internal
  from pandas.core.array_algos.quantile import quantile_with_mask
  from pandas.core.array_algos.transforms import shift
  from pandas.core.arrays.base import ExtensionArray
  from pandas.core.construction import extract_array
  from pandas.core.indexers import check_array_indexer
  from pandas.core.sorting import nargminmax
label_desc: Use image node_id 23 for calling the NDArrayBackedExtensionArray obj's underlying member method code with example usage: obj.fillna(value, method, limit, copy) and returns: new_values