Call finalize in Series.__array_ufunc__

doc/source/whatsnew/v1.2.0.rst

@@ -434,6 +434,7 @@ Other
 - Fixed metadata propagation in the :class:`Series.dt` accessor (:issue:`28283`)
 - Bug in :meth:`Series.transform` would give incorrect results or raise when the argument ``func`` was dictionary (:issue:`35811`)
 - Bug in :meth:`Index.union` behaving differently depending on whether operand is a :class:`Index` or other list-like (:issue:`36384`)
+- Fixed metadata propagation in :meth:`Series.abs` and ufuncs called on Series (:issue:`28283`)
 
 .. ---------------------------------------------------------------------------
 

pandas/core/series.py

@@ -746,7 +746,13 @@ def construct_return(result):
                     # GH#27198
                     raise NotImplementedError
                 return result
-            return self._constructor(result, index=index, name=name, copy=False)
+            # TODO: When we support multiple values in __finalize__, this
+            # should pass alignable as `other` instead of self.
+            # Then `np.add(a, b)` would consider attrs from both a and b
+            # when a and b are NDFrames.
+            return self._constructor(
+                result, index=index, name=name, copy=False
+            ).__finalize__(self)
 
         if type(result) is tuple:
             # multiple return values

pandas/tests/generic/test_finalize.py

@@ -3,6 +3,7 @@
 """
 import operator
 import re
+from typing import Any, List, Tuple
 
 import numpy as np
 import pytest
@@ -29,7 +30,7 @@
 # - Tuple: Constructor args
 # - Callable: pass the constructed value with attrs set to this.
 
-_all_methods = [
+_all_methods: List[Tuple[Any, Any, Any]] = [
     (
         pd.Series,
         (np.array([0], dtype="float64")),
@@ -330,7 +331,8 @@
     (pd.DataFrame, frame_data, operator.inv),
     (pd.Series, [1], operator.inv),
     (pd.DataFrame, frame_data, abs),
-    pytest.param((pd.Series, [1], abs), marks=not_implemented_mark),
+    (pd.Series, [1], abs),
+    (pd.Series, [1], np.arccos),
     pytest.param((pd.DataFrame, frame_data, round), marks=not_implemented_mark),
     (pd.Series, [1], round),
     (pd.DataFrame, frame_data, operator.methodcaller("take", [0, 0])),