DatasetView.map fix keep_attrs

doc/whats-new.rst

@@ -39,6 +39,8 @@ Bug fixes
 - :py:meth:`~xarray.Dataset.to_stacked_array` now uses dimensions in order of appearance.
   This fixes the issue where using :py:meth:`~xarray.Dataset.transpose` before :py:meth:`~xarray.Dataset.to_stacked_array`
   had no effect. (Mentioned in :issue:`9921`)
+- Enable ``keep_attrs`` in ``DatasetView.map`` relevant for :py:func:`map_over_datasets`  (:pull:`10219`)
+  By `Mathias Hauser <https://github.com/mathause>`_.
 
 Documentation
 ~~~~~~~~~~~~~

xarray/core/datatree.py

@@ -45,6 +45,7 @@
 )
 from xarray.core.indexes import Index, Indexes
 from xarray.core.options import OPTIONS as XR_OPTS
+from xarray.core.options import _get_keep_attrs
 from xarray.core.treenode import NamedNode, NodePath, zip_subtrees
 from xarray.core.types import Self
 from xarray.core.utils import (
@@ -421,13 +422,18 @@ def map(  # type: ignore[override]
 
         # Copied from xarray.Dataset so as not to call type(self), which causes problems (see https://github.com/xarray-contrib/datatree/issues/188).
         # TODO Refactor xarray upstream to avoid needing to overwrite this.
-        # TODO This copied version will drop all attrs - the keep_attrs stuff should be re-instated
+        if keep_attrs is None:
+            keep_attrs = _get_keep_attrs(default=False)
         variables = {
             k: maybe_wrap_array(v, func(v, *args, **kwargs))
             for k, v in self.data_vars.items()
         }
+        if keep_attrs:
+            for k, v in variables.items():
+                v._copy_attrs_from(self.data_vars[k])
+        attrs = self.attrs if keep_attrs else None
         # return type(self)(variables, attrs=attrs)
-        return Dataset(variables)
+        return Dataset(variables, attrs=attrs)
 
 
 class DataTree(

xarray/tests/test_datatree.py

@@ -1019,6 +1019,29 @@ def weighted_mean(ds):
 
         weighted_mean(dt.dataset)
 
+    def test_map_keep_attrs(self) -> None:
+        # test DatasetView.map(..., keep_attrs=...)
+        data = xr.DataArray([1, 2, 3], dims="x", attrs={"da": "attrs"})
+        ds = xr.Dataset({"data": data}, attrs={"ds": "attrs"})
+        dt = DataTree(ds)
+
+        def func(ds):
+            # x.mean() removes the attrs of the data_vars
+            return ds.map(lambda x: x.mean(), keep_attrs=True)
+
+        result = xr.map_over_datasets(func, dt)
+        expected = dt.mean(keep_attrs=True)
+        xr.testing.assert_identical(result, expected)
+
+        # per default DatasetView.map does not keep attrs
+        def func(ds):
+            # x.mean() removes the attrs of the data_vars
+            return ds.map(lambda x: x.mean())
+
+        result = xr.map_over_datasets(func, dt)
+        expected = dt.mean()
+        xr.testing.assert_identical(result, expected.mean())
+
 
 class TestAccess:
     def test_attribute_access(self, create_test_datatree) -> None: