DOC: Fix GH# in whatsnew not for DataFrameGroupBy.value_counts bugfix (#56031)

* DOC: Fix GH# in whatsnew not for DataFrameGroupBy.value_counts bugfix

* Fix comment

Author: rhshadrach

doc/source/whatsnew/v2.2.0.rst

@@ -446,9 +446,9 @@ Groupby/resample/rolling
 - Bug in :meth:`DataFrame.resample` not respecting ``closed`` and ``label`` arguments for :class:`~pandas.tseries.offsets.BusinessDay` (:issue:`55282`)
 - Bug in :meth:`DataFrame.resample` where bin edges were not correct for :class:`~pandas.tseries.offsets.BusinessDay` (:issue:`55281`)
 - Bug in :meth:`DataFrame.resample` where bin edges were not correct for :class:`~pandas.tseries.offsets.MonthBegin` (:issue:`55271`)
-- Bug in :meth:`DataFrameGroupBy.value_counts` and :meth:`SeriesGroupBy.value_count` could result in incorrect sorting if the columns of the DataFrame or name of the Series are integers (:issue:`56007`)
-- Bug in :meth:`DataFrameGroupBy.value_counts` and :meth:`SeriesGroupBy.value_count` would not respect ``sort=False`` in :meth:`DataFrame.groupby` and :meth:`Series.groupby` (:issue:`56007`)
-- Bug in :meth:`DataFrameGroupBy.value_counts` and :meth:`SeriesGroupBy.value_count` would sort by proportions rather than frequencies when ``sort=True`` and ``normalize=True`` (:issue:`56007`)
+- Bug in :meth:`DataFrameGroupBy.value_counts` and :meth:`SeriesGroupBy.value_count` could result in incorrect sorting if the columns of the DataFrame or name of the Series are integers (:issue:`55951`)
+- Bug in :meth:`DataFrameGroupBy.value_counts` and :meth:`SeriesGroupBy.value_count` would not respect ``sort=False`` in :meth:`DataFrame.groupby` and :meth:`Series.groupby` (:issue:`55951`)
+- Bug in :meth:`DataFrameGroupBy.value_counts` and :meth:`SeriesGroupBy.value_count` would sort by proportions rather than frequencies when ``sort=True`` and ``normalize=True`` (:issue:`55951`)
 
 Reshaping
 ^^^^^^^^^

pandas/core/groupby/groupby.py

@@ -2834,7 +2834,7 @@ def _value_counts(
         if self.sort:
             # Sort by the groupings
             names = result_series.index.names
-            # GH#56007 - Temporarily replace names in case they are integers
+            # GH#55951 - Temporarily replace names in case they are integers
             result_series.index.names = range(len(names))
             index_level = list(range(len(self.grouper.groupings)))
             result_series = result_series.sort_index(