docs: def construct(self, window_dim, stride=1, fill_value=dtypes.NA):
          """
          Convert this rolling object to xr.DataArray,
          where the window dimension is stacked as a new dimension
  
          Parameters
          ----------
          window_dim: str
              New name of the window dimension.
          stride: integer, optional
              Size of stride for the rolling window.
          fill_value: optional. Default dtypes.NA
              Filling value to match the dimension size.
  
          Returns
          -------
          DataArray that is a view of the original array. The returned array is
          not writeable.
  
          Examples
          --------
          >>> da = DataArray(np.arange(8).reshape(2, 4), dims=('a', 'b'))
          >>>
          >>> rolling = da.rolling(a=3)
          >>> rolling.to_datarray('window_dim')
          <xarray.DataArray (a: 2, b: 4, window_dim: 3)>
          array([[[np.nan, np.nan, 0], [np.nan, 0, 1], [0, 1, 2], [1, 2, 3]],
                 [[np.nan, np.nan, 4], [np.nan, 4, 5], [4, 5, 6], [5, 6, 7]]])
          Dimensions without coordinates: a, b, window_dim
          >>>
          >>> rolling = da.rolling(a=3, center=True)
          >>> rolling.to_datarray('window_dim')
          <xarray.DataArray (a: 2, b: 4, window_dim: 3)>
          array([[[np.nan, 0, 1], [0, 1, 2], [1, 2, 3], [2, 3, np.nan]],
                 [[np.nan, 4, 5], [4, 5, 6], [5, 6, 7], [6, 7, np.nan]]])
          Dimensions without coordinates: a, b, window_dim
          """
  
          from .dataarray import DataArray
  
          window = self.obj.variable.rolling_window(self.dim, self.window,
                                                    window_dim, self.center,
                                                    fill_value=fill_value)
          result = DataArray(window, dims=self.obj.dims + (window_dim,),
                             coords=self.obj.coords)
          return result.isel(**{self.dim: slice(None, None, stride)})