ENH: Add kwargs to Series.map

doc/source/whatsnew/v3.0.0.rst

@@ -54,6 +54,7 @@ Other enhancements
 - :meth:`Series.cummin` and :meth:`Series.cummax` now supports :class:`CategoricalDtype` (:issue:`52335`)
 - :meth:`Series.plot` now correctly handle the ``ylabel`` parameter for pie charts, allowing for explicit control over the y-axis label (:issue:`58239`)
 - :meth:`DataFrame.plot.scatter` argument ``c`` now accepts a column of strings, where rows with the same string are colored identically (:issue:`16827` and :issue:`16485`)
+- :meth:`Series.map` can now accept kwargs to pass on to func (:issue:`59814`)
 - :meth:`pandas.concat` will raise a ``ValueError`` when ``ignore_index=True`` and ``keys`` is not ``None`` (:issue:`59274`)
 - :meth:`str.get_dummies` now accepts a  ``dtype`` parameter to specify the dtype of the resulting DataFrame (:issue:`47872`)
 - Multiplying two :class:`DateOffset` objects will now raise a ``TypeError`` instead of a ``RecursionError`` (:issue:`59442`)

pandas/core/series.py

@@ -11,6 +11,7 @@
     Mapping,
     Sequence,
 )
+import functools
 import operator
 import sys
 from textwrap import dedent
@@ -4312,6 +4313,7 @@ def map(
         self,
         arg: Callable | Mapping | Series,
         na_action: Literal["ignore"] | None = None,
+        **kwargs,
     ) -> Series:
         """
         Map values of Series according to an input mapping or function.
@@ -4327,6 +4329,11 @@ def map(
         na_action : {None, 'ignore'}, default None
             If 'ignore', propagate NaN values, without passing them to the
             mapping correspondence.
+        **kwargs
+            Additional keyword arguments to pass as keywords arguments to
+            `arg`.
+
+            .. versionadded:: 3.0.0
 
         Returns
         -------
@@ -4388,6 +4395,8 @@ def map(
         3  I am a rabbit
         dtype: object
         """
+        if callable(arg):
+            arg = functools.partial(arg, **kwargs)
         new_values = self._map_values(arg, na_action=na_action)
         return self._constructor(new_values, index=self.index, copy=False).__finalize__(
             self, method="map"

pandas/tests/series/methods/test_map.py

@@ -599,3 +599,10 @@ def test_map_type():
     result = s.map(type)
     expected = Series([int, str, type], index=["a", "b", "c"])
     tm.assert_series_equal(result, expected)
+
+
+def test_map_kwargs():
+    # GH 59814
+    result = Series([2, 4, 5]).map(lambda x, y: x + y, y=2)
+    expected = Series([4, 6, 7])
+    tm.assert_series_equal(result, expected)