class_docstr: A pandas ExtensionArray for NumPy data.
  
  This is mostly for internal compatibility, and is not especially
  useful on its own.
  
  Parameters
  ----------
  values : ndarray
      The NumPy ndarray to wrap. Must be 1-dimensional.
  copy : bool, default False
      Whether to copy `values`.
  
  Attributes
  ----------
  None
  
  Methods
  -------
  None
  
  Examples
  --------
  >>> pd.arrays.NumpyExtensionArray(np.array([0, 1, 2, 3]))
  <NumpyExtensionArray>
  [0, 1, 2, 3]
  Length: 4, dtype: int64
docstr: ffill or bfill along axis=0.
docstr_tok: ["ffill","or","bfill","along","axis=0","."]
code: def _pad_or_backfill(
      self,
      *,
      method: FillnaOptions,
      limit: int | None = None,
      limit_area: Literal["inside", "outside"] | None = None,
      copy: bool = True,
  ) -> Self:
      """
      ffill or bfill along axis=0.
      """
      if copy:
          out_data = self._ndarray.copy()
      else:
          out_data = self._ndarray
  
      meth = missing.clean_fill_method(method)
      missing.pad_or_backfill_inplace(
          out_data.T,
          method=meth,
          axis=0,
          limit=limit,
          limit_area=limit_area,
      )
  
      if not copy:
          return self
      return type(self)._simple_new(out_data, dtype=self.dtype)
  
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, Literal
  import numpy
  from pandas._libs import lib
  from pandas._libs.tslibs import is_supported_dtype
  from pandas.compat.numpy import function
  from pandas.core.dtypes.astype import astype_array
  from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
  from pandas.core.dtypes.common import pandas_dtype
  from pandas.core.dtypes.dtypes import NumpyEADtype
  from pandas.core.dtypes.missing import isna
  from pandas.core import arraylike, missing, nanops, ops
  from pandas.core.arraylike import OpsMixin
  from pandas.core.arrays._mixins import NDArrayBackedExtensionArray
  from pandas.core.construction import ensure_wrapped_if_datetimelike
  from pandas.core.strings.object_array import ObjectStringArrayMixin
label_desc: Use image node_id 11 for calling the NumpyExtensionArray obj's underlying member method code with example usage: obj._pad_or_backfill() and returns: type, self