Allow a function in .sortby method

doc/whats-new.rst

@@ -23,9 +23,12 @@ New Features
 ~~~~~~~~~~~~
 
 - :py:meth:`DataArray.where` & :py:meth:`Dataset.where` accept a callable for
-  the ``other`` parameter, passing the object as the first argument. Previously,
+  the ``other`` parameter, passing the object as the only argument. Previously,
   this was only valid for the ``cond`` parameter. (:issue:`8255`)
   By `Maximilian Roos <https://github.com/max-sixty>`_.
+- :py:meth:`DataArray.sortby` & :py:meth:`Dataset.sortby` accept a callable for
+  the ``variables`` parameter, passing the object as the only argument.
+  By `Maximilian Roos <https://github.com/max-sixty>`_.
 
 Breaking changes
 ~~~~~~~~~~~~~~~~

xarray/core/common.py

@@ -1073,7 +1073,8 @@ def where(self, cond: Any, other: Any = dtypes.NA, drop: bool = False) -> Self:
         ----------
         cond : DataArray, Dataset, or callable
             Locations at which to preserve this object's values. dtype must be `bool`.
-            If a callable, it must expect this object as its only parameter.
+            If a callable, the callable is passed this object, and the result is used as
+            the value for cond.
         other : scalar, DataArray, Dataset, or callable, optional
             Value to use for locations in this object where ``cond`` is False.
             By default, these locations are filled with NA. If a callable, it must

xarray/core/dataarray.py

@@ -4921,7 +4921,10 @@ def dot(
 
     def sortby(
         self,
-        variables: Hashable | DataArray | Sequence[Hashable | DataArray],
+        variables: Hashable
+        | DataArray
+        | Sequence[Hashable | DataArray]
+        | Callable[[Self], Hashable | DataArray | Sequence[Hashable | DataArray]],
         ascending: bool = True,
     ) -> Self:
         """Sort object by labels or values (along an axis).
@@ -4942,9 +4945,10 @@ def sortby(
 
         Parameters
         ----------
-        variables : Hashable, DataArray, or sequence of Hashable or DataArray
-            1D DataArray objects or name(s) of 1D variable(s) in
-            coords whose values are used to sort this array.
+        variables : Hashable, DataArray, sequence of Hashable or DataArray, or Callable
+            1D DataArray objects or name(s) of 1D variable(s) in coords whose values are
+            used to sort this array. If a callable, the callable is passed this object,
+            and the result is used as the value for cond.
         ascending : bool, default: True
             Whether to sort by ascending or descending order.
 
@@ -4964,22 +4968,33 @@ def sortby(
         Examples
         --------
         >>> da = xr.DataArray(
-        ...     np.random.rand(5),
+        ...     np.arange(5, 0, -1),
         ...     coords=[pd.date_range("1/1/2000", periods=5)],
         ...     dims="time",
         ... )
         >>> da
         <xarray.DataArray (time: 5)>
-        array([0.5488135 , 0.71518937, 0.60276338, 0.54488318, 0.4236548 ])
+        array([5, 4, 3, 2, 1])
         Coordinates:
           * time     (time) datetime64[ns] 2000-01-01 2000-01-02 ... 2000-01-05
 
         >>> da.sortby(da)
         <xarray.DataArray (time: 5)>
-        array([0.4236548 , 0.54488318, 0.5488135 , 0.60276338, 0.71518937])
+        array([1, 2, 3, 4, 5])
         Coordinates:
-          * time     (time) datetime64[ns] 2000-01-05 2000-01-04 ... 2000-01-02
+          * time     (time) datetime64[ns] 2000-01-05 2000-01-04 ... 2000-01-01
+
+        >>> da.sortby(lambda x: x)
+        <xarray.DataArray (time: 5)>
+        array([1, 2, 3, 4, 5])
+        Coordinates:
+          * time     (time) datetime64[ns] 2000-01-05 2000-01-04 ... 2000-01-01
         """
+        # We need to convert the callable here rather than pass it through to the
+        # dataset method, since otherwise the dataset method would try to call the
+        # callable with the dataset as the object
+        if callable(variables):
+            variables = variables(self)
         ds = self._to_temp_dataset().sortby(variables, ascending=ascending)
         return self._from_temp_dataset(ds)
 

xarray/core/dataset.py

@@ -7824,7 +7824,10 @@ def roll(
 
     def sortby(
         self,
-        variables: Hashable | DataArray | list[Hashable | DataArray],
+        variables: Hashable
+        | DataArray
+        | Sequence[Hashable | DataArray]
+        | Callable[[Self], Hashable | DataArray | list[Hashable | DataArray]],
         ascending: bool = True,
     ) -> Self:
         """
@@ -7846,9 +7849,10 @@ def sortby(
 
         Parameters
         ----------
-        variables : Hashable, DataArray, or list of hashable or DataArray
-            1D DataArray objects or name(s) of 1D variable(s) in
-            coords/data_vars whose values are used to sort the dataset.
+        kariables : Hashable, DataArray, sequence of Hashable or DataArray, or Callable
+            1D DataArray objects or name(s) of 1D variable(s) in coords whose values are
+            used to sort this array. If a callable, the callable is passed this object,
+            and the result is used as the value for cond.
         ascending : bool, default: True
             Whether to sort by ascending or descending order.
 
@@ -7874,8 +7878,7 @@ def sortby(
         ...     },
         ...     coords={"x": ["b", "a"], "y": [1, 0]},
         ... )
-        >>> ds = ds.sortby("x")
-        >>> ds
+        >>> ds.sortby("x")
         <xarray.Dataset>
         Dimensions:  (x: 2, y: 2)
         Coordinates:
@@ -7884,9 +7887,20 @@ def sortby(
         Data variables:
             A        (x, y) int64 3 4 1 2
             B        (x, y) int64 7 8 5 6
+        >>> ds.sortby(lambda x: -x["y"])
+        <xarray.Dataset>
+        Dimensions:  (x: 2, y: 2)
+        Coordinates:
+          * x        (x) <U1 'b' 'a'
+          * y        (y) int64 1 0
+        Data variables:
+            A        (x, y) int64 1 2 3 4
+            B        (x, y) int64 5 6 7 8
         """
         from xarray.core.dataarray import DataArray
 
+        if callable(variables):
+            variables = variables(self)
         if not isinstance(variables, list):
             variables = [variables]
         else: