class_docstr: Base class for IntegerArray and FloatingArray.
class_docstr_tok: ["Base","class","for","IntegerArray","and","FloatingArray","."]
code: def dtype(self) -> NumericDtype:
      mapping = self._dtype_cls._str_to_dtype_mapping()
      return mapping[str(self._data.dtype)]
  
imports: from __future__ import annotations
  import numbers
  from typing import TYPE_CHECKING, Any, Callable, Mapping, TypeVar
  import numpy
  from pandas._libs import lib, missing
  from pandas._typing import Dtype, DtypeObj, npt
  from pandas.errors import AbstractMethodError
  from pandas.util._decorators import cache_readonly
  from pandas.core.dtypes.common import is_bool_dtype, is_float_dtype, is_integer_dtype, is_object_dtype, is_string_dtype, pandas_dtype
  from pandas.core.arrays.masked import BaseMaskedArray, BaseMaskedDtype
label_desc: Use image node_id 2 for calling the NumericArray obj's underlying member method code with example usage: obj.dtype() and returns: mapping