Using Timestamp as label when indexing with [] gives typing error.

[soylander]

Describe the bug
Pylance shows error when using a timestamp as label for selecting data from a pandas series.

To Reproduce

1. Provide a minimal runnable pandas example that is not properly checked by the stubs.

import pandas as pd


dt1 = pd.to_datetime('2023-05-01')
dt2 = pd.to_datetime('2023-05-02')
s = pd.Series([1, 2], index=[dt1, dt2])
s[dt1]  # pylance error here
s.loc[[dt1]]  # pylance error here also

2. Indicate which type checker you are using (mypy or pyright).
   pyright

3. Show the error message received from that type checker while checking your example.

Argument of type "Timestamp" cannot be assigned to parameter "idx" of type "int | _str" in function "getitem"
Type "Timestamp" cannot be assigned to type "int | _str"
"Timestamp" is incompatible with "int"
"Timestamp" is incompatible with "_str"PylancereportGeneralTypeIssues

Please complete the following information:

• OS: MacOS Monterey
• OS Version: 12.3.1
• python version: 3.10.8
• version of type checker: pylance v2023.3.40
• version of installed pandas-stubs: 1.5.3.230321

Additional context
Same issue arises when using timedelta instead of timestamp.

[Dr-Irv]

Thanks for the report.

We need to create some consistency between the indexing used in DataFrame._LocIndexerFrame.__getitem__(), Series.__getitem__() and Series._LocIndexerSeries.__getitem__() . If you use:

df = pd.DataFrame(s)
df.loc[dt1, :]
df.loc[[dt1], :]

that is accepted. If you use

df = pd.DataFrame({"x": s})
df.loc[dt1, "x"]
df.loc[[dt1], "x"]

you get typing errors.