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 view(self, dtype: Dtype | None = None) -> ArrayLike:
      # We handle datetime64, datetime64tz, timedelta64, and period
      #  dtypes here. Everything else we pass through to the underlying
      #  ndarray.
      if dtype is None or dtype is self.dtype:
          return self._from_backing_data(self._ndarray)
  
      if isinstance(dtype, type):
          # we sometimes pass non-dtype objects, e.g np.ndarray;
          #  pass those through to the underlying ndarray
          return self._ndarray.view(dtype)
  
      dtype = pandas_dtype(dtype)
      arr = self._ndarray
  
      if isinstance(dtype, (PeriodDtype, DatetimeTZDtype)):
          cls = dtype.construct_array_type()
          return cls(arr.view("i8"), dtype=dtype)
      elif dtype == "M8[ns]":
          from pandas.core.arrays import DatetimeArray
  
          return DatetimeArray(arr.view("i8"), dtype=dtype)
      elif dtype == "m8[ns]":
          from pandas.core.arrays import TimedeltaArray
  
          return TimedeltaArray(arr.view("i8"), dtype=dtype)
  
      # error: Argument "dtype" to "view" of "_ArrayOrScalarCommon" has incompatible
      # type "Union[ExtensionDtype, dtype[Any]]"; expected "Union[dtype[Any], None,
      # type, _SupportsDType, str, Union[Tuple[Any, int], Tuple[Any, Union[int,
      # Sequence[int]]], List[Any], _DTypeDict, Tuple[Any, Any]]]"
      return arr.view(dtype=dtype)
  
imports: from __future__ import annotations
  from functools import wraps
  from typing import TYPE_CHECKING, Any, Literal, Sequence, TypeVar, cast, overload
  import numpy
  from pandas._libs import lib
  from pandas._libs.arrays import NDArrayBacked
  from pandas._typing import ArrayLike, AxisInt, Dtype, F, PositionalIndexer2D, PositionalIndexerTuple, ScalarIndexer, SequenceIndexer, Shape, TakeIndexer, npt, type_t
  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 is_dtype_equal, 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
  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 3 for calling the NDArrayBackedExtensionArray obj's underlying member method code with example usage: obj.view(dtype) and returns: arr, self, self, cls, DatetimeArray, TimedeltaArray