Enable construction of pd.Series with NaT and NA (#874)

* Enable construction of pd.Series with NaT and NA

* cleanup

Author: mark-thm

pandas-stubs/core/series.pyi

@@ -90,6 +90,7 @@ from pandas._libs.interval import (
 from pandas._libs.lib import NoDefault
 from pandas._libs.missing import NAType
 from pandas._libs.tslibs import BaseOffset
+from pandas._libs.tslibs.nattype import NaTType
 from pandas._typing import (
     S1,
     AggFuncTypeBase,
@@ -318,7 +319,15 @@ class Series(IndexOpsMixin[S1], NDFrame):
     @overload
     def __new__(
         cls,
-        data: Scalar | _ListLike | dict[HashableT1, Any] | BaseGroupBy | None = ...,
+        data: (
+            Scalar
+            | _ListLike
+            | dict[HashableT1, Any]
+            | BaseGroupBy
+            | NaTType
+            | NAType
+            | None
+        ) = ...,
         index: Axes | None = ...,
         *,
         dtype: Dtype = ...,

tests/test_series.py

@@ -81,6 +81,8 @@ def test_types_init() -> None:
     pd.Series(1)
     pd.Series((1, 2, 3))
     pd.Series(np.array([1, 2, 3]))
+    pd.Series(pd.NaT)
+    pd.Series(pd.NA)
     pd.Series(data=[1, 2, 3, 4], name="series")
     pd.Series(data=[1, 2, 3, 4], dtype=np.int8)
     pd.Series(data={"row1": [1, 2], "row2": [3, 4]})