changed according to comments

Author: topper-123

doc/source/whatsnew/v0.24.0.txt

@@ -557,8 +557,6 @@ Categorical
 ^^^^^^^^^^^
 
 - Bug in :meth:`Categorical.from_codes` where ``NaN`` values in `codes` were silently converted to ``0`` (:issue:`21767`). In the future this will raise a ``ValueError``. Also changes the behavior of `.from_codes([1.1, 2.0])`.
-- :meth:`Categorical.searchsorted` and :meth:`CategoricalIndex.searchsorted`
-  now work on unordered categoricals also (:issue:`21667`)
 -
 
 Datetimelike

pandas/core/base.py

@@ -1459,13 +1459,12 @@ def factorize(self, sort=False, na_sentinel=-1):
 
         .. note::
 
-            The %(klass)s *must* be monotonically sorted, else wrong
-            index locations may be returned. Pandas does *not* check
-            this for you.
+            The %(klass)s *must* be monotonically sorted, otherwise
+            wrong locations will likely be returned. Pandas does *not*
+            check this for you.
 
             You can check sortedness by calling
-            ``is_monotonic_increasing/is_monotonic_decreasing`` on the
-            Series or Index.
+            :meth:`%(klass)s.is_monotonic_increasing`.
 
         Parameters
         ----------
@@ -1524,7 +1523,7 @@ def factorize(self, sort=False, na_sentinel=-1):
         >>> x = pd.Categorical(['apple', 'bread', 'bread',
                                 'cheese', 'milk'], ordered=True)
         [apple, bread, bread, cheese, milk]
-        Categories (4, object): [apple < bread < cheese < milk]
+        Categories (4, object): [apple <> bread < cheese < milk]
 
         >>> x.searchsorted('bread')
         1

pandas/tests/arrays/categorical/test_analytics.py

@@ -71,7 +71,6 @@ def test_mode(self, values, categories, exp_mode):
         exp = Categorical(exp_mode, categories=categories, ordered=True)
         tm.assert_categorical_equal(res, exp)
 
-    @pytest.mark.parametrize("ordered", [True, False])
     def test_searchsorted(self, ordered):
         # https://github.com/pandas-dev/pandas/issues/8420
         # https://github.com/pandas-dev/pandas/issues/14522