Add a deep kwarg (default True?)

xarray/core/dataarray.py

@@ -7147,16 +7147,17 @@ def to_dask_dataframe(
     # https://mypy.readthedocs.io/en/latest/common_issues.html#dealing-with-conflicting-names
     str = utils.UncachedAccessor(StringAccessor["DataArray"])
 
-    def drop_attrs(self) -> Self:
+    def drop_attrs(self, deep: bool = True) -> Self:
         """
         Removes all attributes from the DataArray.
 
+        Parameters
+        ----------
+        deep : bool, default True
+            Removes attributes from coordinates.
+
         Returns
         -------
         DataArray
         """
-        self = self.copy()
-
-        self.attrs = {}
-
-        return self
+        return self._to_temp_dataset().drop_attrs(deep=deep).to_array()

xarray/core/dataset.py

@@ -10339,17 +10339,25 @@ def resample(
             **indexer_kwargs,
         )
 
-    def drop_attrs(self) -> Self:
+    def drop_attrs(self, deep: bool = True) -> Self:
         """
         Removes all attributes from the Dataset and its variables.
 
+        Parameters
+        ----------
+        deep : bool, default True
+            Removes attributes from all variables.
+
         Returns
         -------
         Dataset
         """
         # Remove attributes from the dataset
         self = self._replace(attrs={})
 
+        if not deep:
+            return self
+
         # Remove attributes from each variable in the dataset
         for var in self.variables:
             # variables don't have a `._replace` method, so we copy and then remove
@@ -10359,7 +10367,6 @@ def drop_attrs(self) -> Self:
                 self[var].attrs = {}
 
         new_idx_variables = {}
-
         # Not sure this is the most elegant way of doing this, but it works.
         # (Should we have a more general "map over all variables, including
         # indexes" approach?)

xarray/tests/test_dataset.py

@@ -4375,13 +4375,16 @@ def test_drop_attrs(self) -> None:
             pd.MultiIndex.from_tuples([(1, 2), (3, 4)], names=["d", "e"]), "z"
         )
         ds = Dataset(dict(var1=var), coords=dict(y=idx, z=mx)).assign_attrs(a=1, b=2)
+        assert ds.attrs != {}
+        assert ds["var1"].attrs != {}
+        assert ds["y"].attrs != {}
         assert ds.coords["y"].attrs != {}
 
         original = ds.copy(deep=True)
         result = ds.drop_attrs()
 
         assert result.attrs == {}
-        assert result["x"].attrs == {}
+        assert result["var1"].attrs == {}
         assert result["y"].attrs == {}
         assert list(result.data_vars) == list(ds.data_vars)
         assert list(result.coords) == list(ds.coords)
@@ -4392,6 +4395,14 @@ def test_drop_attrs(self) -> None:
         # can't currently contain `attrs`, so we can't test those.)
         assert ds.coords["y"].attrs != {}
 
+        # Test for deep=False
+        result_shallow = ds.drop_attrs(deep=False)
+        assert result_shallow.attrs == {}
+        assert result_shallow["var1"].attrs != {}
+        assert result_shallow["y"].attrs != {}
+        assert list(result.data_vars) == list(ds.data_vars)
+        assert list(result.coords) == list(ds.coords)
+
     def test_assign_multiindex_level(self) -> None:
         data = create_test_multiindex()
         with pytest.raises(ValueError, match=r"cannot drop or update.*corrupt.*index "):