code: def _get_empty_reduction_result(
      shape: Shape,
      axis: AxisInt,
  ) -> np.ndarray:
      """
      The result from a reduction on an empty ndarray.
  
      Parameters
      ----------
      shape : Tuple[int, ...]
      axis : int
  
      Returns
      -------
      np.ndarray
      """
      shp = np.array(shape)
      dims = np.arange(len(shape))
      ret = np.empty(shp[dims != axis], dtype=np.float64)
      ret.fill(np.nan)
      return ret
  
imports: from __future__ import annotations
  import functools
  import itertools
  from typing import Any, Callable, cast
  import warnings
  import numpy
  from pandas._config import get_option
  from pandas._libs import NaT, NaTType, iNaT, lib
  from pandas._typing import ArrayLike, AxisInt, CorrelationMethod, Dtype, DtypeObj, F, Scalar, Shape, npt
  from pandas.compat._optional import import_optional_dependency
  from pandas.util._exceptions import find_stack_level
  from pandas.core.dtypes.common import is_complex, is_float, is_float_dtype, is_integer, is_numeric_dtype, is_object_dtype, needs_i8_conversion, pandas_dtype
  from pandas.core.dtypes.missing import isna, na_value_for_dtype, notna
label_desc: Use image node_id 19 for calling a global function with example usage: _get_empty_reduction_result(shape, axis) and returns: ret