Update v2.2.0.rst

Author: phofl

doc/source/whatsnew/v2.2.0.rst

@@ -97,26 +97,6 @@ This future dtype inference logic can be enabled with:
 Enhancements
 ~~~~~~~~~~~~
 
-.. _whatsnew_220.enhancements.case_when:
-
-Create a pandas Series based on one or more conditions
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-The :func:`case_when` function has been added to create a Series object based on one or more conditions. (:issue:`39154`)
-
-.. ipython:: python
-
-   import pandas as pd
-
-   df = pd.DataFrame(dict(a=[1, 2, 3], b=[4, 5, 6]))
-   default=pd.Series('default', index=df.index)
-   default.case_when(
-        caselist=[
-            (df.a == 1, 'first'),                              # condition, replacement
-            (df.a.gt(1) & df.b.eq(5), 'second'),  # condition, replacement
-        ],
-   )
-
 .. _whatsnew_220.enhancements.adbc_support:
 
 ADBC Driver support in to_sql and read_sql
@@ -208,6 +188,26 @@ For a full list of ADBC drivers and their development status, see the `ADBC Driv
 Implementation Status <https://arrow.apache.org/adbc/current/driver/status.html>`_
 documentation.
 
+.. _whatsnew_220.enhancements.case_when:
+
+Create a pandas Series based on one or more conditions
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+The :func:`case_when` function has been added to create a Series object based on one or more conditions. (:issue:`39154`)
+
+.. ipython:: python
+
+   import pandas as pd
+
+   df = pd.DataFrame(dict(a=[1, 2, 3], b=[4, 5, 6]))
+   default=pd.Series('default', index=df.index)
+   default.case_when(
+        caselist=[
+            (df.a == 1, 'first'),                              # condition, replacement
+            (df.a.gt(1) & df.b.eq(5), 'second'),  # condition, replacement
+        ],
+   )
+
 .. _whatsnew_220.enhancements.to_numpy_ea:
 
 ``to_numpy`` for NumPy nullable and Arrow types converts to suitable NumPy dtype