def roll(self, shifts=None, roll_coords=None, **shifts_kwargs):
        """Roll this dataset by an offset along one or more dimensions.

        Unlike shift, roll may rotate all variables, including coordinates
        if specified. The direction of rotation is consistent with
        :py:func:`numpy.roll`.

        Parameters
        ----------

        shifts : dict, optional
            A dict with keys matching dimensions and values given
            by integers to rotate each of the given dimensions. Positive
            offsets roll to the right; negative offsets roll to the left.
        roll_coords : bool
            Indicates whether to  roll the coordinates by the offset
            The current default of roll_coords (None, equivalent to True) is
            deprecated and will change to False in a future version.
            Explicitly pass roll_coords to silence the warning.
        **shifts_kwargs : {dim: offset, ...}, optional
            The keyword arguments form of ``shifts``.
            One of shifts or shifts_kwargs must be provided.
        Returns
        -------
        rolled : Dataset
            Dataset with the same coordinates and attributes but rolled
            variables.

        See also
        --------
        shift

        Examples
        --------

        >>> ds = xr.Dataset({'foo': ('x', list('abcde'))})
        >>> ds.roll(x=2)
        <xarray.Dataset>
        Dimensions:  (x: 5)
        Coordinates:
          * x        (x) int64 3 4 0 1 2
        Data variables:
            foo      (x) object 'd' 'e' 'a' 'b' 'c'
        """
        shifts = either_dict_or_kwargs(shifts, shifts_kwargs, 'roll')
        invalid = [k for k in shifts if k not in self.dims]
        if invalid:
            raise ValueError("dimensions %r do not exist" % invalid)

        if roll_coords is None:
            warnings.warn("roll_coords will be set to False in the future."
                          " Explicitly set roll_coords to silence warning.",
                          FutureWarning, stacklevel=2)
            roll_coords = True

        unrolled_vars = () if roll_coords else self.coords

        variables = OrderedDict()
        for k, v in self.variables.items():
            if k not in unrolled_vars:
                variables[k] = v.roll(**{k: s for k, s in shifts.items()
                                         if k in v.dims})
            else:
                variables[k] = v

        return self._replace_vars_and_dims(variables)
Roll this dataset by an offset along one or more dimensions.

        Unlike shift, roll may rotate all variables, including coordinates
        if specified. The direction of rotation is consistent with
        :py:func:`numpy.roll`.

        Parameters
        ----------

        shifts : dict, optional
            A dict with keys matching dimensions and values given
            by integers to rotate each of the given dimensions. Positive
            offsets roll to the right; negative offsets roll to the left.
        roll_coords : bool
            Indicates whether to  roll the coordinates by the offset
            The current default of roll_coords (None, equivalent to True) is
            deprecated and will change to False in a future version.
            Explicitly pass roll_coords to silence the warning.
        **shifts_kwargs : {dim: offset, ...}, optional
            The keyword arguments form of ``shifts``.
            One of shifts or shifts_kwargs must be provided.
        Returns
        -------
        rolled : Dataset
            Dataset with the same coordinates and attributes but rolled
            variables.

        See also
        --------
        shift

        Examples
        --------

        >>> ds = xr.Dataset({'foo': ('x', list('abcde'))})
        >>> ds.roll(x=2)
        <xarray.Dataset>
        Dimensions:  (x: 5)
        Coordinates:
          * x        (x) int64 3 4 0 1 2
        Data variables:
            foo      (x) object 'd' 'e' 'a' 'b' 'c'