Add option to not roll coords

doc/whats-new.rst

@@ -56,6 +56,11 @@ Enhancements
   (:issue:`1560`)
   By `Maximilian Maahn <https://github.com/maahn>`_.
 
+- You can now control whether or not to offset the coordinates when using
+  the ``roll`` method and the current behavior, coordinates rolled by default,
+  raises a deprecation warning unless explicitly setting the keyword argument.
+  (:issue:`1875`)
+  By `Andrew Huang <https://github.com/ahuang11>`_.
 
 Bug fixes
 ~~~~~~~~~

xarray/core/dataarray.py

@@ -2015,14 +2015,20 @@ def shift(self, **shifts):
         variable = self.variable.shift(**shifts)
         return self._replace(variable)
 
-    def roll(self, **shifts):
+    def roll(self, shifts=None, roll_coords=None, **shifts_kwargs):
         """Roll this array by an offset along one or more dimensions.
 
-        Unlike shift, roll rotates all variables, including coordinates. The
-        direction of rotation is consistent with :py:func:`numpy.roll`.
+        Unlike shift, roll may rotate all variables, including coordinates
+        if specified. The direction of rotation is consistent with
+        :py:func:`numpy.roll`.
 
         Parameters
         ----------
+        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 : keyword arguments of the form {dim: offset}
             Integer offset to rotate each of the given dimensions. Positive
             offsets roll to the right; negative offsets roll to the left.
@@ -2046,7 +2052,8 @@ def roll(self, **shifts):
         Coordinates:
           * x        (x) int64 2 0 1
         """
-        ds = self._to_temp_dataset().roll(**shifts)
+        ds = self._to_temp_dataset().roll(
+            shifts=shifts, roll_coords=roll_coords, **shifts_kwargs)
         return self._from_temp_dataset(ds)
 
     @property

xarray/core/dataset.py

@@ -2324,13 +2324,13 @@ def unstack(self, dim):
                              'a MultiIndex')
 
         full_idx = pd.MultiIndex.from_product(index.levels, names=index.names)
-        
+
         # take a shortcut in case the MultiIndex was not modified.
         if index.equals(full_idx):
             obj = self
         else:
             obj = self.reindex(copy=False, **{dim: full_idx})
-            
+
         new_dim_names = index.names
         new_dim_sizes = [lev.size for lev in index.levels]
 
@@ -3360,18 +3360,28 @@ def shift(self, **shifts):
 
         return self._replace_vars_and_dims(variables)
 
-    def roll(self, **shifts):
+    def roll(self, shifts=None, roll_coords=None, **shifts_kwargs):
         """Roll this dataset by an offset along one or more dimensions.
 
-        Unlike shift, roll rotates all variables, including coordinates. The
-        direction of rotation is consistent with :py:func:`numpy.roll`.
+        Unlike shift, roll may rotate all variables, including coordinates
+        if specified. The direction of rotation is consistent with
+        :py:func:`numpy.roll`.
 
         Parameters
         ----------
-        **shifts : keyword arguments of the form {dim: offset}
-            Integer offset to rotate each of the given dimensions. Positive
-            offsets roll to the right; negative offsets roll to the left.
 
+        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
@@ -3394,15 +3404,25 @@ def roll(self, **shifts):
         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 name, var in iteritems(self.variables):
-            var_shifts = dict((k, v) for k, v in shifts.items()
-                              if k in var.dims)
-            variables[name] = var.roll(**var_shifts)
+        for k, v in iteritems(self.variables):
+            if k not in unrolled_vars:
+                variables[k] = v.roll(**shifts)
+            else:
+                variables[k] = v
 
         return self._replace_vars_and_dims(variables)
 

xarray/tests/test_dataarray.py

@@ -3099,9 +3099,24 @@ def test_shift(self):
             actual = arr.shift(x=offset)
             assert_identical(expected, actual)
 
-    def test_roll(self):
+    def test_roll_coords(self):
         arr = DataArray([1, 2, 3], coords={'x': range(3)}, dims='x')
-        actual = arr.roll(x=1)
+        actual = arr.roll(x=1, roll_coords=True)
+        expected = DataArray([3, 1, 2], coords=[('x', [2, 0, 1])])
+        assert_identical(expected, actual)
+
+    def test_roll_no_coords(self):
+        arr = DataArray([1, 2, 3], coords={'x': range(3)}, dims='x')
+        actual = arr.roll(x=1, roll_coords=False)
+        expected = DataArray([3, 1, 2], coords=[('x', [0, 1, 2])])
+        assert_identical(expected, actual)
+
+    def test_roll_coords_none(self):
+        arr = DataArray([1, 2, 3], coords={'x': range(3)}, dims='x')
+
+        with pytest.warns(FutureWarning):
+            actual = arr.roll(x=1, roll_coords=None)
+
         expected = DataArray([3, 1, 2], coords=[('x', [2, 0, 1])])
         assert_identical(expected, actual)
 

xarray/tests/test_dataset.py

@@ -3862,18 +3862,42 @@ def test_shift(self):
         with raises_regex(ValueError, 'dimensions'):
             ds.shift(foo=123)
 
-    def test_roll(self):
+    def test_roll_coords(self):
         coords = {'bar': ('x', list('abc')), 'x': [-4, 3, 2]}
         attrs = {'meta': 'data'}
         ds = Dataset({'foo': ('x', [1, 2, 3])}, coords, attrs)
-        actual = ds.roll(x=1)
+        actual = ds.roll(x=1, roll_coords=True)
 
         ex_coords = {'bar': ('x', list('cab')), 'x': [2, -4, 3]}
         expected = Dataset({'foo': ('x', [3, 1, 2])}, ex_coords, attrs)
         assert_identical(expected, actual)
 
         with raises_regex(ValueError, 'dimensions'):
-            ds.roll(foo=123)
+            ds.roll(foo=123, roll_coords=True)
+
+    def test_roll_no_coords(self):
+        coords = {'bar': ('x', list('abc')), 'x': [-4, 3, 2]}
+        attrs = {'meta': 'data'}
+        ds = Dataset({'foo': ('x', [1, 2, 3])}, coords, attrs)
+        actual = ds.roll(x=1, roll_coords=False)
+
+        expected = Dataset({'foo': ('x', [3, 1, 2])}, coords, attrs)
+        assert_identical(expected, actual)
+
+        with raises_regex(ValueError, 'dimensions'):
+            ds.roll(abc=321, roll_coords=False)
+
+    def test_roll_coords_none(self):
+        coords = {'bar': ('x', list('abc')), 'x': [-4, 3, 2]}
+        attrs = {'meta': 'data'}
+        ds = Dataset({'foo': ('x', [1, 2, 3])}, coords, attrs)
+
+        with pytest.warns(FutureWarning):
+            actual = ds.roll(x=1, roll_coords=None)
+
+        ex_coords = {'bar': ('x', list('cab')), 'x': [2, -4, 3]}
+        expected = Dataset({'foo': ('x', [3, 1, 2])}, ex_coords, attrs)
+        assert_identical(expected, actual)
 
     def test_real_and_imag(self):
         attrs = {'foo': 'bar'}