Backport PR pandas-dev#51566: DOC: Clean whatsnew links

Author: phofl

doc/source/whatsnew/v2.0.0.rst

@@ -72,7 +72,7 @@ Below is a possibly non-exhaustive list of changes:
 2. The various numeric datetime attributes of :class:`DatetimeIndex` (:attr:`~DatetimeIndex.day`,
    :attr:`~DatetimeIndex.month`, :attr:`~DatetimeIndex.year` etc.) were previously in of
    dtype ``int64``, while they were ``int32`` for :class:`arrays.DatetimeArray`. They are now
-   ``int32`` on ``DatetimeIndex`` also:
+   ``int32`` on :class:`DatetimeIndex` also:
 
    .. ipython:: python
 
@@ -1085,7 +1085,7 @@ Removal of prior version deprecations/changes
 - Changed behavior in setting values with ``df.loc[:, foo] = bar`` or ``df.iloc[:, foo] = bar``, these now always attempt to set values inplace before falling back to casting (:issue:`45333`)
 - Changed default of ``numeric_only`` in various :class:`.DataFrameGroupBy` methods; all methods now default to ``numeric_only=False`` (:issue:`46072`)
 - Changed default of ``numeric_only`` to ``False`` in :class:`.Resampler` methods (:issue:`47177`)
-- Using the method :meth:`DataFrameGroupBy.transform` with a callable that returns DataFrames will align to the input's index (:issue:`47244`)
+- Using the method :meth:`.DataFrameGroupBy.transform` with a callable that returns DataFrames will align to the input's index (:issue:`47244`)
 - When providing a list of columns of length one to :meth:`DataFrame.groupby`, the keys that are returned by iterating over the resulting :class:`DataFrameGroupBy` object will now be tuples of length one (:issue:`47761`)
 - Removed deprecated methods :meth:`ExcelWriter.write_cells`, :meth:`ExcelWriter.save`, :meth:`ExcelWriter.cur_sheet`, :meth:`ExcelWriter.handles`, :meth:`ExcelWriter.path` (:issue:`45795`)
 - The :class:`ExcelWriter` attribute ``book`` can no longer be set; it is still available to be accessed and mutated (:issue:`48943`)
@@ -1209,8 +1209,8 @@ Datetimelike
 - Bug in :func:`DataFrame.from_records` when given a :class:`DataFrame` input with timezone-aware datetime64 columns incorrectly dropping the timezone-awareness (:issue:`51162`)
 - Bug in :func:`to_datetime` was raising ``decimal.InvalidOperation`` when parsing date strings with ``errors='coerce'`` (:issue:`51084`)
 - Bug in :func:`to_datetime` with both ``unit`` and ``origin`` specified returning incorrect results (:issue:`42624`)
-- Bug in :meth:`GroupBy.quantile` with datetime or timedelta dtypes giving incorrect results for groups containing ``NaT`` (:issue:`51373`)
-- Bug in :meth:`Groupby.quantile` incorrectly raising with :class:`PeriodDtype` or :class:`DatetimeTZDtype` (:issue:`51373`)
+- Bug in :meth:`.DataFrameGroupBy.quantile` and :meth:`.SeriesGroupBy.quantile` with datetime or timedelta dtypes giving incorrect results for groups containing ``NaT`` (:issue:`51373`)
+- Bug in :meth:`.DataFrameGroupBy.quantile` and :meth:`.SeriesGroupBy.quantile` incorrectly raising with :class:`PeriodDtype` or :class:`DatetimeTZDtype` (:issue:`51373`)
 
 Timedelta
 ^^^^^^^^^
@@ -1337,7 +1337,7 @@ Period
 - Bug in adding a :class:`Period` object to an array of :class:`DateOffset` objects incorrectly raising ``TypeError`` (:issue:`50162`)
 - Bug in :class:`Period` where passing a string with finer resolution than nanosecond would result in a ``KeyError`` instead of dropping the extra precision (:issue:`50417`)
 - Bug in parsing strings representing Week-periods e.g. "2017-01-23/2017-01-29" as minute-frequency instead of week-frequency (:issue:`50803`)
-- Bug in :meth:`.GroupBy.sum`, :meth:`.GroupBy.cumsum`, :meth:`.GroupBy.prod`, :meth:`.GroupBy.cumprod` with :class:`PeriodDtype` failing to raise ``TypeError`` (:issue:`51040`)
+- Bug in :meth:`.DataFrameGroupBy.sum`, :meth:`.DataFrameGroupByGroupBy.cumsum`, :meth:`.DataFrameGroupByGroupBy.prod`, :meth:`.DataFrameGroupByGroupBy.cumprod` with :class:`PeriodDtype` failing to raise ``TypeError`` (:issue:`51040`)
 - Bug in parsing empty string with :class:`Period` incorrectly raising ``ValueError`` instead of returning ``NaT`` (:issue:`51349`)
 
 Plotting
@@ -1370,8 +1370,8 @@ Groupby/resample/rolling
 - Bug in :meth:`.DataFrameGroupBy.transform` and :meth:`.SeriesGroupBy.transform` would raise incorrectly when grouper had ``axis=1`` for ``"ngroup"`` argument (:issue:`45986`)
 - Bug in :meth:`.DataFrameGroupBy.describe` produced incorrect results when data had duplicate columns (:issue:`50806`)
 - Bug in :meth:`.DataFrameGroupBy.agg` with ``engine="numba"`` failing to respect ``as_index=False`` (:issue:`51228`)
-- Bug in :meth:`DataFrameGroupBy.agg`, :meth:`SeriesGroupBy.agg`, and :meth:`Resampler.agg` would ignore arguments when passed a list of functions (:issue:`50863`)
-- Bug in :meth:`DataFrameGroupBy.ohlc` ignoring ``as_index=False`` (:issue:`51413`)
+- Bug in :meth:`.DataFrameGroupBy.agg`, :meth:`.SeriesGroupBy.agg`, and :meth:`.Resampler.agg` would ignore arguments when passed a list of functions (:issue:`50863`)
+- Bug in :meth:`.DataFrameGroupBy.ohlc` ignoring ``as_index=False`` (:issue:`51413`)
 
 Reshaping
 ^^^^^^^^^