pd.to_datetime(list[datetime.date]) is wrong input type (mypy), but pandas returns output.

[vanheck]

Describe the bug
datetime.date is a valid type as a function parameter, but mypy raises errors

To Reproduce

test.py file:

from datetime import date
import pandas as pd

dates = [date.today(), date.today()]
dates = pd.to_datetime(dates)

in dates is DatetimeIndex(['2024-03-19', '2024-03-19'], dtype='datetime64[ns]', freq=None)

But mypy returns:

# mypy test.py
test.py:5: error: Incompatible types in assignment (expression has type "DatetimeIndex", variable has type "list[date]")  [assignment]
test.py:5: error: Argument 1 to "to_datetime" has incompatible type "list[date]"; expected "Sequence[float | datetime] | list[str] | tuple[float | str | datetime, ...] | ndarray[Any, dtype[datetime64]] | ndarray[Any, dtype[str_]] | ndarray[Any, dtype[signedinteger[Any]]] | Index[Any] | ExtensionArray"  [arg-type]
Found 2 errors in 1 file (checked 1 source file)

Please complete the following information:

• OS: Linux Ubuntu 22.04.4 LTS x86_64
• python version 3.10.13
• version of type checker: mypy 1.7.1 (compiled: yes)
• version of installed pandas-stubs: 2.2.0.240218
• pandas 2.2.1

[Dr-Irv]

Thanks for the report.

Need to change datetime to date in this line:

pandas-stubs/pandas-stubs/core/tools/datetimes.pyi

Line 85 in 6b1da7c

Sequence[float | datetime]

and 2 lines below that, since datetime is a subclass of date

PR welcome with tests in test_pandas.py

[vanheck]

Challange accepted, there is #892