implement sparsearray round

Author: andrewgsavage

pandas/core/arrays/sparse/array.py

@@ -1647,6 +1647,10 @@ def argmin(self, skipna: bool = True) -> int:
         if not skipna and self._hasna:
             raise NotImplementedError
         return self._argmin_argmax("argmin")
+    
+    def round(self, decimals: int = 0, *args, **kwargs) -> Self:
+        new_values = np.array([round(element) if not isna(element) else element for element in self.sp_values])
+        return self._simple_new(new_values, self._sparse_index, self.dtype)
 
     # ------------------------------------------------------------------------
     # Ufuncs

pandas/tests/extension/test_sparse.py

@@ -349,10 +349,6 @@ def test_map_raises(self, data, na_action):
         with pytest.raises(ValueError, match=msg):
             data.map(lambda x: np.nan, na_action=na_action)
 
-    @pytest.mark.xfail(reason="SparseArray.round not implemented.")
-    def test_round(self, data):
-        super().test_round(data)
-
 
 class TestCasting(BaseSparseTests, base.BaseCastingTests):
     @pytest.mark.xfail(raises=TypeError, reason="no sparse StringDtype")