code: def squeeze(self, dim: Union[Hashable, Iterable[Hashable], None] = None,
                  drop: bool = False,
                  axis: Union[int, Iterable[int], None] = None):
          
          dims = get_squeeze_dims(self, dim, axis)
          return self.isel(drop=drop, **{d: 0 for d in dims})
docs: Return a new object with squeezed data.
  
          Parameters
          ----------
          dim : None or Hashable or iterable of Hashable, optional
              Selects a subset of the length one dimensions. If a dimension is
              selected with length greater than one, an error is raised. If
              None, all length one dimensions are squeezed.
          drop : bool, optional
              If ``drop=True``, drop squeezed coordinates instead of making them
              scalar.
          axis : None or int or iterable of int, optional
              Like dim, but positional.
  
          Returns
          -------
          squeezed : same type as caller
              This object, but with with all or a subset of the dimensions of
              length 1 removed.
  
          See Also
          --------
          numpy.squeeze