docs: def _nanmean_ddof_object(ddof, value, axis=None, **kwargs):
      """ In house nanmean. ddof argument will be used in _nanvar method """
      from .duck_array_ops import (count, fillna, _dask_or_eager_func,
                                   where_method)
  
      valid_count = count(value, axis=axis)
      value = fillna(value, 0)
      # As dtype inference is impossible for object dtype, we assume float
      # https://github.com/dask/dask/issues/3162
      dtype = kwargs.pop('dtype', None)
      if dtype is None and value.dtype.kind == 'O':
          dtype = value.dtype if value.dtype.kind in ['cf'] else float
  
      data = _dask_or_eager_func('sum')(value, axis=axis, dtype=dtype, **kwargs)
      data = data / (valid_count - ddof)
      return where_method(data, valid_count != 0)