Merge remote-tracking branch 'upstream/main' into to_numpy_ea

# Conflicts: # doc/source/whatsnew/v2.2.0.rst
pandas-dev · mroeschke · Dec 1, 2023 · Sep 3, 2023 · Sep 3, 2023 · Sep 7, 2023
commit b39c72995107771e339ae07065417f824359f568
diff --git a/doc/source/whatsnew/v2.2.0.rst b/doc/source/whatsnew/v2.2.0.rst
@@ -14,38 +14,7 @@ including other versions of pandas.
 Enhancements
 ~~~~~~~~~~~~
 
-.. _whatsnew_220.enhancements.to_numpy_ea:
-
-ExtensionArray.to_numpy converts to suitable NumPy dtype
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-:meth:`ExtensionArray.to_numpy`` will now convert to a suitable NumPy dtype instead
-of ``object`` dtype for nullable extension dtypes.
-
-*Old behavior:*
-
-.. code-block:: ipython
-
-    In [1]: ser = pd.Series([1, 2, 3], dtype="Int64")
-    In [2]: ser.to_numpy()
-    Out[2]: array([1, 2, 3], dtype=object)
-
-*New behavior:*
-
-.. ipython:: python
-
-    ser = pd.Series([1, 2, 3], dtype="Int64")
-    ser.to_numpy()
-
-The NumPy dtype is determined as follows:
-
 - float dtypes are cast to NumPy floats
-- integer dtypes without missing values are cast to NumPy integer dtypes
-- integer dtypes with missing values are cast to NumPy float dtypes and ``NaN`` is used as missing value indicator
-- boolean dtypes without missing values are cast to NumPy bool dtype
-- boolean dtypes with missing values keep object dtype
-
-.. _whatsnew_220.enhancements.calamine:
+.. _whatsnew_220.enhancements.adbc_support:
 
 ADBC Driver support in to_sql and read_sql
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
@@ -136,6 +105,37 @@ 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.to_numpy_ea:
+
+ExtensionArray.to_numpy converts to suitable NumPy dtype
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+:meth:`ExtensionArray.to_numpy`` will now convert to a suitable NumPy dtype instead
+of ``object`` dtype for nullable extension dtypes.
+
+*Old behavior:*
+
+.. code-block:: ipython
+
+    In [1]: ser = pd.Series([1, 2, 3], dtype="Int64")
+    In [2]: ser.to_numpy()
+    Out[2]: array([1, 2, 3], dtype=object)
+
+*New behavior:*
+
+.. ipython:: python
+
+    ser = pd.Series([1, 2, 3], dtype="Int64")
+    ser.to_numpy()
+
+The NumPy dtype is determined as follows:
+
+- float dtypes are cast to NumPy floats
+- integer dtypes without missing values are cast to NumPy integer dtypes
+- integer dtypes with missing values are cast to NumPy float dtypes and ``NaN`` is used as missing value indicator
+- boolean dtypes without missing values are cast to NumPy bool dtype
+- boolean dtypes with missing values keep object dtype
+
 .. _whatsnew_220.enhancements.struct_accessor:
 
 Series.struct accessor to with PyArrow structured data