GH ref

Author: jbrockmendel

doc/source/whatsnew/v3.0.0.rst

@@ -81,6 +81,7 @@ Other enhancements
 - :meth:`Rolling.agg`, :meth:`Expanding.agg` and :meth:`ExponentialMovingWindow.agg` now accept :class:`NamedAgg` aggregations through ``**kwargs`` (:issue:`28333`)
 - :meth:`Series.map` can now accept kwargs to pass on to func (:issue:`59814`)
 - :meth:`Series.map` now accepts an ``engine`` parameter to allow execution with a third-party execution engine (:issue:`61125`)
+- :meth:`Series.rank` and :meth:`DataFrame.rank` with numpy-nullable dtypes preserve ``NA`` values and return ``UInt64`` dtype where appropriate instead of casting ``NA`` to ``NaN`` with ``float64`` dtype (:issue:`62043`)
 - :meth:`Series.str.get_dummies` now accepts a  ``dtype`` parameter to specify the dtype of the resulting DataFrame (:issue:`47872`)
 - :meth:`pandas.concat` will raise a ``ValueError`` when ``ignore_index=True`` and ``keys`` is not ``None`` (:issue:`59274`)
 - :py:class:`frozenset` elements in pandas objects are now natively printed (:issue:`60690`)
@@ -95,7 +96,6 @@ Other enhancements
 - Support passing a :class:`Iterable[Hashable]` input to :meth:`DataFrame.drop_duplicates` (:issue:`59237`)
 - Support reading Stata 102-format (Stata 1) dta files (:issue:`58978`)
 - Support reading Stata 110-format (Stata 7) dta files (:issue:`47176`)
-- :meth:`Series.rank` and :meth:`DataFrame.rank` with numpy-nullable dtypes preserve ``NA`` values and return ``UInt64`` dtype where appropriate instead of casting ``NA`` to ``NaN`` with ``float64`` dtype (:issue:`??`)
 
 .. ---------------------------------------------------------------------------
 .. _whatsnew_300.notable_bug_fixes:

pandas/core/arrays/masked.py

@@ -1002,7 +1002,7 @@ def _rank(
         ascending: bool = True,
         pct: bool = False,
     ):
-        # Avoid going through copy-making ensure_data in algorithms.rank
+        # GH#62043 Avoid going through copy-making ensure_data in algorithms.rank
         if axis != 0 or self.ndim != 1:
             raise NotImplementedError
 

pandas/tests/series/methods/test_rank.py

@@ -308,6 +308,7 @@ def test_rank_tie_methods_on_infs_nans(
             else:
                 exp_dtype = "uint64[pyarrow]"
         elif dtype == "Float64":
+            # GH#62043
             if rank_method == "average":
                 exp_dtype = "Float64"
             else: