Update release notes and docs

Author: Daniel Saxton

doc/source/user_guide/boolean.rst

@@ -22,6 +22,8 @@ Indexing with NA values
 
 pandas allows indexing with ``NA`` values in a boolean array, which are treated as ``False``.
 
+.. versionchanged:: 1.0.2
+
 .. ipython:: python
    :okexcept:
 

doc/source/user_guide/indexing.rst

@@ -376,6 +376,8 @@ For getting values with a boolean array:
 
 NA values in a boolean array propogate as ``False``:
 
+.. versionchanged:: 1.0.2
+
    mask = pd.array([True, False, True, False, pd.NA, False], dtype="boolean")
    mask
    df1[mask]

doc/source/whatsnew/v1.0.2.rst

@@ -46,6 +46,33 @@ Bug fixes
 
 .. ---------------------------------------------------------------------------
 
+Indexing with Nullable Boolean Arrays
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Previously indexing with a nullable Boolean array containing ``NA`` would raise a ``ValueError``, however this is now permitted with ``NA`` being treated as ``False``. (:issue:`31503`)
+
+.. ipython:: python
+
+    s = pd.Series([1, 2, 3, 4])
+    mask = pd.array([True, True, False, None], dtype="boolean")
+    s
+    mask
+
+*pandas 1.0.0-1.0.1*
+
+.. code-block:: python
+
+    >>> s[mask]
+    Traceback (most recent call last):
+    ...
+    ValueError: cannot mask with array containing NA / NaN values
+
+*pandas 1.0.2*
+
+.. ipython:: python
+
+    s[mask]
+
 .. _whatsnew_102.contributors:
 
 Contributors

doc/source/whatsnew/v1.1.0.rst

@@ -36,33 +36,6 @@ For example:
    ser["2014"]
    ser.loc["May 2015"]
 
-Indexing with Nullable Boolean Arrays
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-Previously indexing with a nullable Boolean array containing ``NA`` would raise a ``ValueError``, however this is now permitted with ``NA`` being treated as ``False``. (:issue:`31503`)
-
-.. ipython:: python
-
-    s = pd.Series([1, 2, 3, 4])
-    mask = pd.array([True, True, False, None], dtype="boolean")
-    s
-    mask
-
-*pandas 1.0.x*
-
-.. code-block:: python
-
-    >>> s[mask]
-    Traceback (most recent call last):
-    ...
-    ValueError: cannot mask with array containing NA / NaN values
-
-*pandas 1.1.0*
-
-.. ipython:: python
-
-    s[mask]
-
 .. _whatsnew_110.enhancements.other:
 
 Other enhancements