`Series#__getitem__` doesn't accept `pd.Timestamp`

[GarrisonD]

Describe the bug

Series#__getitem__ doesn't accept pd.Timestamp

To Reproduce

from __future__ import annotations

import pandas as pd

index = pd.date_range("2018-01-01", periods=5, freq="D")
series = pd.Series([1, 2, 3, 4, 5], index=index)
value = series[index[-1]]  # error
print(value)

mypy output:

test.py:7: error: No overload variant of "__getitem__" of "Series" matches argument type "Timestamp"  [call-overload]
test.py:7: note: Possible overload variants:
test.py:7: note:     def __getitem__(self, list[str] | Index[Any] | Series[Any] | slice | Series[bool] | ndarray[Any, dtype[bool_]] | list[bool] | tuple[Any | slice, ...], /) -> Series[Any]
test.py:7: note:     def __getitem__(self, int | str, /) -> Any
Found 1 error in 1 file (checked 1 source file)

Until it's fixed in pandas-stubs this can be used as a quick-fix:

-value = series[index[-1]]
+value = series.loc[index[-1]]

Please complete the following information:

• OS: macOS Ventura 13.5.2 (22G91)
• Python: 3.10.12
• Mypy: 1.5.1 (compiled: yes)
• pandas-stubs: 2.0.3.230814

[Dr-Irv]

Thanks for the report. I think we can safely add Timestamp to this def:

pandas-stubs/pandas-stubs/core/series.pyi

Line 363 in 6bb1215

def __getitem__(self, idx: int | _str) -> S1: ...

[GarrisonD]

I will try to do it.