DOC: Move Other bugfixes to appropriate sections (pandas-dev#42192)

Author: rhshadrach

doc/source/whatsnew/v1.3.0.rst

@@ -924,6 +924,7 @@ Datetimelike
 - Bug in :meth:`Timedelta.round`, :meth:`Timedelta.floor`, :meth:`Timedelta.ceil` for values near the implementation bounds of :class:`Timedelta` (:issue:`38964`)
 - Bug in :func:`date_range` incorrectly creating :class:`DatetimeIndex` containing ``NaT`` instead of raising ``OutOfBoundsDatetime`` in corner cases (:issue:`24124`)
 - Bug in :func:`infer_freq` incorrectly fails to infer 'H' frequency of :class:`DatetimeIndex` if the latter has a timezone and crosses DST boundaries (:issue:`39556`)
+- Bug in :class:`Series` backed by :class:`DatetimeArray` or :class:`TimedeltaArray` sometimes failing to set the array's ``freq`` to ``None`` (:issue:`41425`)
 
 Timedelta
 ^^^^^^^^^
@@ -954,7 +955,8 @@ Numeric
 - Bug in :class:`Series` and :class:`DataFrame` reductions with methods ``any`` and ``all`` not returning Boolean results for object data (:issue:`12863`, :issue:`35450`, :issue:`27709`)
 - Bug in :meth:`Series.clip` would fail if the Series contains NA values and has nullable int or float as a data type (:issue:`40851`)
 - Bug in :meth:`UInt64Index.where` and :meth:`UInt64Index.putmask` with an ``np.int64`` dtype ``other`` incorrectly raising ``TypeError`` (:issue:`41974`)
-
+- Bug in :meth:`DataFrame.agg()` not sorting the aggregated axis in the order of the provided aggragation functions when one or more aggregation function fails to produce results (:issue:`33634`)
+- Bug in :meth:`DataFrame.clip` not interpreting missing values as no threshold (:issue:`40420`)
 
 Conversion
 ^^^^^^^^^^
@@ -970,6 +972,12 @@ Conversion
 - Bug in :class:`DataFrame` and :class:`Series` construction with ``datetime64[ns]`` data and ``dtype=object`` resulting in ``datetime`` objects instead of :class:`Timestamp` objects (:issue:`41599`)
 - Bug in :class:`DataFrame` and :class:`Series` construction with ``timedelta64[ns]`` data and ``dtype=object`` resulting in ``np.timedelta64`` objects instead of :class:`Timedelta` objects (:issue:`41599`)
 - Bug in :class:`DataFrame` construction when given a two-dimensional object-dtype ``np.ndarray`` of :class:`Period` or :class:`Interval` objects failing to cast to :class:`PeriodDtype` or :class:`IntervalDtype`, respectively (:issue:`41812`)
+- Bug in constructing a :class:`Series` from a list and a :class:`PandasDtype` (:issue:`39357`)
+- Bug in creating a :class:`Series` from a ``range`` object that does not fit in the bounds of ``int64`` dtype (:issue:`30173`)
+- Bug in creating a :class:`Series` from a ``dict`` with all-tuple keys and an :class:`Index` that requires reindexing (:issue:`41707`)
+- Bug in :func:`.infer_dtype` not recognizing Series, Index, or array with a Period dtype (:issue:`23553`)
+- Bug in :func:`.infer_dtype` raising an error for general :class:`.ExtensionArray` objects. It will now return ``"unknown-array"`` instead of raising (:issue:`37367`)
+- Bug in :meth:`DataFrame.convert_dtypes` incorrectly raised a ``ValueError`` when called on an empty DataFrame (:issue:`40393`)
 
 Strings
 ^^^^^^^
@@ -1031,6 +1039,8 @@ Indexing
 - Bug ``.loc.__getitem__`` with a :class:`UInt64Index` and negative-integer keys raising ``OverflowError`` instead of ``KeyError`` in some cases, wrapping around to positive integers in others (:issue:`41777`)
 - Bug in :meth:`Index.get_indexer` failing to raise ``ValueError`` in some cases with invalid ``method``, ``limit``, or ``tolerance`` arguments (:issue:`41918`)
 - Bug when slicing a :class:`Series` or :class:`DataFrame` with a :class:`TimedeltaIndex` when passing an invalid string raising ``ValueError`` instead of a ``TypeError`` (:issue:`41821`)
+- Bug in :class:`Index` constructor sometimes silently ignoring a specified ``dtype`` (:issue:`38879`)
+- :meth:`Index.where` behavior now mirrors :meth:`Index.putmask` behavior, i.e. ``index.where(mask, other)`` matches ``index.putmask(~mask, other)`` (:issue:`39412`)
 
 Missing
 ^^^^^^^
@@ -1200,24 +1210,13 @@ Styler
 
 Other
 ^^^^^
-- Bug in :class:`Index` constructor sometimes silently ignoring a specified ``dtype`` (:issue:`38879`)
-- Bug in :func:`.infer_dtype` not recognizing Series, Index, or array with a Period dtype (:issue:`23553`)
-- Bug in :func:`.infer_dtype` raising an error for general :class:`.ExtensionArray` objects. It will now return ``"unknown-array"`` instead of raising (:issue:`37367`)
-- Bug in constructing a :class:`Series` from a list and a :class:`PandasDtype` (:issue:`39357`)
 - ``inspect.getmembers(Series)`` no longer raises an ``AbstractMethodError`` (:issue:`38782`)
 - Bug in :meth:`Series.where` with numeric dtype and ``other=None`` not casting to ``nan`` (:issue:`39761`)
-- :meth:`Index.where` behavior now mirrors :meth:`Index.putmask` behavior, i.e. ``index.where(mask, other)`` matches ``index.putmask(~mask, other)`` (:issue:`39412`)
 - Bug in :func:`.assert_series_equal`, :func:`.assert_frame_equal`, :func:`.assert_index_equal` and :func:`.assert_extension_array_equal` incorrectly raising when an attribute has an unrecognized NA type (:issue:`39461`)
 - Bug in :func:`.assert_index_equal` with ``exact=True`` not raising when comparing :class:`CategoricalIndex` instances with ``Int64Index`` and ``RangeIndex`` categories (:issue:`41263`)
 - Bug in :meth:`DataFrame.equals`, :meth:`Series.equals`, and :meth:`Index.equals` with object-dtype containing ``np.datetime64("NaT")`` or ``np.timedelta64("NaT")`` (:issue:`39650`)
 - Bug in :func:`show_versions` where console JSON output was not proper JSON (:issue:`39701`)
 - pandas can now compile on z/OS when using `xlc <https://www.ibm.com/products/xl-cpp-compiler-zos>`_ (:issue:`35826`)
-- Bug in :meth:`DataFrame.convert_dtypes` incorrectly raised a ``ValueError`` when called on an empty DataFrame (:issue:`40393`)
-- Bug in :meth:`DataFrame.agg()` not sorting the aggregated axis in the order of the provided aggragation functions when one or more aggregation function fails to produce results (:issue:`33634`)
-- Bug in :meth:`DataFrame.clip` not interpreting missing values as no threshold (:issue:`40420`)
-- Bug in :class:`Series` backed by :class:`DatetimeArray` or :class:`TimedeltaArray` sometimes failing to set the array's ``freq`` to ``None`` (:issue:`41425`)
-- Bug in creating a :class:`Series` from a ``range`` object that does not fit in the bounds of ``int64`` dtype (:issue:`30173`)
-- Bug in creating a :class:`Series` from a ``dict`` with all-tuple keys and an :class:`Index` that requires reindexing (:issue:`41707`)
 - Bug in :func:`pandas.util.hash_pandas_object` not recognizing ``hash_key``, ``encoding`` and ``categorize`` when the input object type is a :class:`DataFrame` (:issue:`41404`)
 
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