type return as Series[Any]

Author: MarcoGorelli

pandas-stubs/core/series.pyi

@@ -1223,7 +1223,7 @@ class Series(IndexOpsMixin[S1], NDFrame):
         freq: Frequency | timedelta | None = ...,
         axis: AxisIndex = ...,
         fill_value: object | None = ...,
-    ) -> Series[S1]: ...
+    ) -> Series[Any]: ...
     def memory_usage(self, index: _bool = ..., deep: _bool = ...) -> int: ...
     def isin(self, values: Iterable | Series[S1] | dict) -> Series[_bool]: ...
     def between(

tests/test_series.py

@@ -417,19 +417,16 @@ def test_types_sort_values_with_key() -> None:
 
 def test_types_shift() -> None:
     s = pd.Series([1, 2, 3], index=pd.date_range("2020", periods=3))
-    # Return type "Series[int]"" not quite correct
-    # - https://github.com/pandas-dev/pandas-stubs/issues/1111
-    # - https://github.com/pandas-dev/pandas-stubs/issues/1110
-    check(assert_type(s.shift(), "pd.Series[int]"), pd.Series, np.floating)
+    check(assert_type(s.shift(), "pd.Series[Any]"), pd.Series, np.floating)
     check(
-        assert_type(s.shift(axis=0, periods=1), "pd.Series[int]"),
+        assert_type(s.shift(axis=0, periods=1), "pd.Series[Any]"),
         pd.Series,
         np.floating,
     )
     check(
-        assert_type(s.shift(-1, fill_value=0), "pd.Series[int]"), pd.Series, np.integer
+        assert_type(s.shift(-1, fill_value=0), "pd.Series[Any]"), pd.Series, np.integer
     )
-    check(assert_type(s.shift(freq="1D"), "pd.Series[int]"), pd.Series, np.integer)
+    check(assert_type(s.shift(freq="1D"), "pd.Series[Any]"), pd.Series, np.integer)
 
 
 def test_types_rank() -> None: