DOC: minor tidy of 1.5 release notes (pandas-dev#45940)

Author: simonjayhawkins

doc/source/whatsnew/v1.5.0.rst

@@ -37,8 +37,8 @@ Other enhancements
 - :meth:`to_numeric` now preserves float64 arrays when downcasting would generate values not representable in float32 (:issue:`43693`)
 - :meth:`Series.reset_index` and :meth:`DataFrame.reset_index` now support the argument ``allow_duplicates`` (:issue:`44410`)
 - :meth:`.GroupBy.min` and :meth:`.GroupBy.max` now supports `Numba <https://numba.pydata.org/>`_ execution with the ``engine`` keyword (:issue:`45428`)
-- Implemented a ``bool``-dtype :class:`Index`, passing a bool-dtype arraylike to ``pd.Index`` will now retain ``bool`` dtype instead of casting to ``object`` (:issue:`45061`)
-- Implemented a complex-dtype :class:`Index`, passing a complex-dtype arraylike to ``pd.Index`` will now retain complex dtype instead of casting to ``object`` (:issue:`45845`)
+- Implemented a ``bool``-dtype :class:`Index`, passing a bool-dtype array-like to ``pd.Index`` will now retain ``bool`` dtype instead of casting to ``object`` (:issue:`45061`)
+- Implemented a complex-dtype :class:`Index`, passing a complex-dtype array-like to ``pd.Index`` will now retain complex dtype instead of casting to ``object`` (:issue:`45845`)
 
 -
 
@@ -68,34 +68,7 @@ notable_bug_fix2
 Backwards incompatible API changes
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. _whatsnew_150.api_breaking.deps:
-
-Increased minimum versions for dependencies
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-Some minimum supported versions of dependencies were updated.
-If installed, we now require:
-
-+-----------------+-----------------+----------+---------+
-| Package         | Minimum Version | Required | Changed |
-+=================+=================+==========+=========+
-| mypy (dev)      | 0.931           |          |    X    |
-+-----------------+-----------------+----------+---------+
-
-
-For `optional libraries <https://pandas.pydata.org/docs/getting_started/install.html>`_ the general recommendation is to use the latest version.
-The following table lists the lowest version per library that is currently being tested throughout the development of pandas.
-Optional libraries below the lowest tested version may still work, but are not considered supported.
-
-+-----------------+-----------------+---------+
-| Package         | Minimum Version | Changed |
-+=================+=================+=========+
-|                 |                 |    X    |
-+-----------------+-----------------+---------+
-
-See :ref:`install.dependencies` and :ref:`install.optional_dependencies` for more.
-
-
-.. _whatsnew_150.read_xml_dtypes:
+.. _whatsnew_150.api_breaking.read_xml_dtypes:
 
 read_xml now supports ``dtype``, ``converters``, and ``parse_dates``
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
@@ -136,6 +109,37 @@ apply converter methods, and parse dates (:issue:`43567`).
     df
     df.dtypes
 
+.. _whatsnew_150.api_breaking.api_breaking2:
+
+api_breaking_change2
+^^^^^^^^^^^^^^^^^^^^
+
+.. _whatsnew_150.api_breaking.deps:
+
+Increased minimum versions for dependencies
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Some minimum supported versions of dependencies were updated.
+If installed, we now require:
+
++-----------------+-----------------+----------+---------+
+| Package         | Minimum Version | Required | Changed |
++=================+=================+==========+=========+
+| mypy (dev)      | 0.931           |          |    X    |
++-----------------+-----------------+----------+---------+
+
+
+For `optional libraries <https://pandas.pydata.org/docs/getting_started/install.html>`_ the general recommendation is to use the latest version.
+The following table lists the lowest version per library that is currently being tested throughout the development of pandas.
+Optional libraries below the lowest tested version may still work, but are not considered supported.
+
++-----------------+-----------------+---------+
+| Package         | Minimum Version | Changed |
++=================+=================+=========+
+|                 |                 |    X    |
++-----------------+-----------------+---------+
+
+See :ref:`install.dependencies` and :ref:`install.optional_dependencies` for more.
+
 .. _whatsnew_150.api_breaking.other:
 
 Other API changes
@@ -214,7 +218,7 @@ The following attributes are now public and considered safe to access.
  - ``supported_extensions``
 
 The following attributes have been deprecated. They now raise a ``FutureWarning``
-when accessed and will removed in a future version. Users should be aware
+when accessed and will be removed in a future version. Users should be aware
 that their usage is considered unsafe, and can lead to unexpected results.
 
  - ``cur_sheet``
@@ -231,7 +235,7 @@ Other Deprecations
 ^^^^^^^^^^^^^^^^^^
 - Deprecated the keyword ``line_terminator`` in :meth:`DataFrame.to_csv` and :meth:`Series.to_csv`, use ``lineterminator`` instead; this is for consistency with :func:`read_csv` and the standard library 'csv' module (:issue:`9568`)
 - Deprecated behavior of :meth:`SparseArray.astype`, :meth:`Series.astype`, and :meth:`DataFrame.astype` with :class:`SparseDtype` when passing a non-sparse ``dtype``. In a future version, this will cast to that non-sparse dtype instead of wrapping it in a :class:`SparseDtype` (:issue:`34457`)
-- Deprecated behavior of :meth:`DatetimeIndex.intersection` and :meth:`DatetimeIndex.symmetric_difference` (``union`` behavior was already deprecated in version 1.3.0) with mixed timezones; in a future version both will be cast to UTC instead of object dtype (:issue:`39328`, :issue:`45357`)
+- Deprecated behavior of :meth:`DatetimeIndex.intersection` and :meth:`DatetimeIndex.symmetric_difference` (``union`` behavior was already deprecated in version 1.3.0) with mixed time zones; in a future version both will be cast to UTC instead of object dtype (:issue:`39328`, :issue:`45357`)
 - Deprecated :meth:`DataFrame.iteritems`, :meth:`Series.iteritems`, :meth:`HDFStore.iteritems` in favor of :meth:`DataFrame.items`, :meth:`Series.items`, :meth:`HDFStore.items`  (:issue:`45321`)
 - Deprecated :meth:`Series.is_monotonic` and :meth:`Index.is_monotonic` in favor of :meth:`Series.is_monotonic_increasing` and :meth:`Index.is_monotonic_increasing` (:issue:`45422`, :issue:`21335`)
 - Deprecated the ``__array_wrap__`` method of DataFrame and Series, rely on standard numpy ufuncs instead (:issue:`45451`)
@@ -277,15 +281,15 @@ Timedelta
 ^^^^^^^^^
 -
 
-Timezones
-^^^^^^^^^
+Time Zones
+^^^^^^^^^^
 -
 -
 
 Numeric
 ^^^^^^^
 - Bug in operations with array-likes with ``dtype="boolean"`` and :attr:`NA` incorrectly altering the array in-place (:issue:`45421`)
-- Bug in multiplying a :class:`Series` with ``IntegerDtype`` or ``FloatingDtype`` by an arraylike with ``timedelta64[ns]`` dtype incorrectly raising (:issue:`45622`)
+- Bug in multiplying a :class:`Series` with ``IntegerDtype`` or ``FloatingDtype`` by an array-like with ``timedelta64[ns]`` dtype incorrectly raising (:issue:`45622`)
 -
 
 Conversion
@@ -313,7 +317,7 @@ Indexing
 - Bug in :meth:`DataFrame.iloc` where indexing a single row on a :class:`DataFrame` with a single ExtensionDtype column gave a copy instead of a view on the underlying data (:issue:`45241`)
 - Bug in :meth:`Series.align` does not create :class:`MultiIndex` with union of levels when both MultiIndexes intersections are identical (:issue:`45224`)
 - Bug in setting a NA value (``None`` or ``np.nan``) into a :class:`Series` with int-based :class:`IntervalDtype` incorrectly casting to object dtype instead of a float-based :class:`IntervalDtype` (:issue:`45568`)
-- Bug in :meth:`Series.__setitem__` with a non-integer :class:`Index` when using an integer key to set a value that cannot be set inplace where a ``ValueError`` was raised insead of casting to a common dtype (:issue:`45070`)
+- Bug in :meth:`Series.__setitem__` with a non-integer :class:`Index` when using an integer key to set a value that cannot be set inplace where a ``ValueError`` was raised instead of casting to a common dtype (:issue:`45070`)
 - Bug in :meth:`Series.__setitem__` when setting incompatible values into a ``PeriodDtype`` or ``IntervalDtype`` :class:`Series` raising when indexing with a boolean mask but coercing when indexing with otherwise-equivalent indexers; these now consistently coerce, along with :meth:`Series.mask` and :meth:`Series.where` (:issue:`45768`)
 - Bug in :meth:`Series.loc.__setitem__` and :meth:`Series.loc.__getitem__` not raising when using multiple keys without using a :class:`MultiIndex` (:issue:`13831`)
 - Bug when setting a value too large for a :class:`Series` dtype failing to coerce to a common type (:issue:`26049`, :issue:`32878`)
@@ -326,12 +330,13 @@ Indexing
 - Bug in indexing on a :class:`DatetimeIndex` with a ``np.str_`` key incorrectly raising (:issue:`45580`)
 - Bug in :meth:`CategoricalIndex.get_indexer` when index contains ``NaN`` values, resulting in elements that are in target but not present in the index to be mapped to the index of the NaN element, instead of -1 (:issue:`45361`)
 - Bug in setting large integer values into :class:`Series` with ``float32`` or ``float16`` dtype incorrectly altering these values instead of coercing to ``float64`` dtype (:issue:`45844`)
+- Bug in :meth:`Series.asof` and :meth:`DataFrame.asof` incorrectly casting bool-dtype results to ``float64`` dtype (:issue:`16063`)
 -
 
 Missing
 ^^^^^^^
 - Bug in :meth:`Series.fillna` and :meth:`DataFrame.fillna` with ``downcast`` keyword not being respected in some cases where there are no NA values present (:issue:`45423`)
-- Bug in :meth:`Series.fillna` and :meth:`DataFrame.fillna` with :class:`IntervalDtype` and incompatible value raising instead of casting to a common (usually object) dtype (:issue:`??`)
+- Bug in :meth:`Series.fillna` and :meth:`DataFrame.fillna` with :class:`IntervalDtype` and incompatible value raising instead of casting to a common (usually object) dtype (:issue:`45796`)
 - Bug in :meth:`DataFrame.interpolate` with object-dtype column not returning a copy with ``inplace=False`` (:issue:`45791`)
 -
 
@@ -385,13 +390,11 @@ ExtensionArray
 
 Styler
 ^^^^^^
-- Minor bug when attempting to apply styling functions to an empty DataFrame subset (:issue:`45313`)
+- Bug when attempting to apply styling functions to an empty DataFrame subset (:issue:`45313`)
 -
 
 Other
 ^^^^^
-- Bug in :meth:`Series.asof` and :meth:`DataFrame.asof` incorrectly casting bool-dtype results to ``float64`` dtype (:issue:`16063`)
--
 
 .. ***DO NOT USE THIS SECTION***