Add @ operator type hints for Series

pandas-stubs/core/series.pyi

@@ -798,8 +798,18 @@ class Series(IndexOpsMixin[S1], NDFrame):
     def dot(
         self, other: ArrayLike | dict[_str, np.ndarray] | Sequence[S1] | Index[S1]
     ) -> np.ndarray: ...
-    def __matmul__(self, other): ...
-    def __rmatmul__(self, other): ...
+    @overload
+    def __matmul__(self, other: Series) -> Scalar: ...
+    @overload
+    def __matmul__(self, other: DataFrame) -> Series: ...
+    @overload
+    def __matmul__(self, other: np.ndarray) -> np.ndarray: ...
+    @overload
+    def __rmatmul__(self, other: Series) -> Scalar: ...
+    @overload
+    def __rmatmul__(self, other: DataFrame) -> Series: ...
+    @overload
+    def __rmatmul__(self, other: np.ndarray) -> np.ndarray: ...
     @overload
     def searchsorted(
         self,

tests/test_series.py

@@ -1236,16 +1236,17 @@ def test_types_as_type() -> None:
 
 
 def test_types_dot() -> None:
+    """Test typing of multiplication methods (dot and @) for Series."""
     s1 = pd.Series([0, 1, 2, 3])
     s2 = pd.Series([-1, 2, -3, 4])
     df1 = pd.DataFrame([[0, 1], [-2, 3], [4, -5], [6, 7]])
     n1 = np.array([[0, 1], [1, 2], [-1, -1], [2, 0]])
     sc1: Scalar = s1.dot(s2)
     sc2: Scalar = s1 @ s2
-    s3: pd.Series = s1.dot(df1)
-    s4: pd.Series = s1 @ df1
-    n2: np.ndarray = s1.dot(n1)
-    n3: np.ndarray = s1 @ n1
+    check(assert_type(s1.dot(df1), "pd.Series[int]"),pd.Series, np.int64)
+    check(assert_type(s1 @ df1, pd.Series),pd.Series )
+    check(assert_type(s1.dot(n1), np.ndarray),np.ndarray )
+    check(assert_type(s1 @ n1, np.ndarray),np.ndarray )
 
 
 def test_series_loc_setitem() -> None: