call __finalize__ in more methods (#37186)

Author: arw2019

doc/source/whatsnew/v1.2.0.rst

@@ -524,7 +524,7 @@ Other
 - Bug in :meth:`DataFrame.replace` and :meth:`Series.replace` incorrectly raising ``AssertionError`` instead of ``ValueError`` when invalid parameter combinations are passed (:issue:`36045`)
 - Bug in :meth:`DataFrame.replace` and :meth:`Series.replace` with numeric values and string ``to_replace`` (:issue:`34789`)
 - Fixed bug in metadata propagation incorrectly copying DataFrame columns as metadata when the column name overlaps with the metadata name (:issue:`37037`)
-- Fixed metadata propagation in the :class:`Series.dt` and :class:`Series.str` accessors (:issue:`28283`)
+- Fixed metadata propagation in the :class:`Series.dt` and :class:`Series.str` accessors and :class:`DataFrame.duplicated` and ::class:`DataFrame.stack` methods (:issue:`28283`)
 - Bug in :meth:`Index.union` behaving differently depending on whether operand is a :class:`Index` or other list-like (:issue:`36384`)
 - Passing an array with 2 or more dimensions to the :class:`Series` constructor now raises the more specific ``ValueError``, from a bare ``Exception`` previously (:issue:`35744`)
 

pandas/core/frame.py

@@ -5286,7 +5286,8 @@ def f(vals):
         labels, shape = map(list, zip(*map(f, vals)))
 
         ids = get_group_index(labels, shape, sort=False, xnull=False)
-        return self._constructor_sliced(duplicated_int64(ids, keep), index=self.index)
+        result = self._constructor_sliced(duplicated_int64(ids, keep), index=self.index)
+        return result.__finalize__(self, method="duplicated")
 
     # ----------------------------------------------------------------------
     # Sorting
@@ -7096,9 +7097,11 @@ def stack(self, level=-1, dropna=True):
         from pandas.core.reshape.reshape import stack, stack_multiple
 
         if isinstance(level, (tuple, list)):
-            return stack_multiple(self, level, dropna=dropna)
+            result = stack_multiple(self, level, dropna=dropna)
         else:
-            return stack(self, level, dropna=dropna)
+            result = stack(self, level, dropna=dropna)
+
+        return result.__finalize__(self, method="stack")
 
     def explode(
         self, column: Union[str, Tuple], ignore_index: bool = False

pandas/tests/generic/test_finalize.py

@@ -115,10 +115,7 @@
     (pd.DataFrame, frame_data, operator.methodcaller("notnull")),
     (pd.DataFrame, frame_data, operator.methodcaller("dropna")),
     (pd.DataFrame, frame_data, operator.methodcaller("drop_duplicates")),
-    pytest.param(
-        (pd.DataFrame, frame_data, operator.methodcaller("duplicated")),
-        marks=not_implemented_mark,
-    ),
+    (pd.DataFrame, frame_data, operator.methodcaller("duplicated")),
     (pd.DataFrame, frame_data, operator.methodcaller("sort_values", by="A")),
     (pd.DataFrame, frame_data, operator.methodcaller("sort_index")),
     (pd.DataFrame, frame_data, operator.methodcaller("nlargest", 1, "A")),
@@ -169,10 +166,7 @@
         ),
         marks=not_implemented_mark,
     ),
-    pytest.param(
-        (pd.DataFrame, frame_data, operator.methodcaller("stack")),
-        marks=not_implemented_mark,
-    ),
+    (pd.DataFrame, frame_data, operator.methodcaller("stack")),
     pytest.param(
         (pd.DataFrame, frame_data, operator.methodcaller("explode", "A")),
         marks=not_implemented_mark,