pd.concat doesn't let me mix Series and DataFrame

[tvdboom]

Describe the bug
When trying to concat a Series to a DataFrame, mypy complains, but I see in the stubs that it should be possible (see image below). Am I doing something wrong?

To Reproduce

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

  def x() -> pd.DataFrame:
   df1 = pd.Series()
   df2 = pd.DataFrame()
   return pd.concat([df1, df2])

or

  def x() -> pd.DataFrame:
   df1: pd.Series | pd.DataFrame = pd.Series()
   df2 = pd.DataFrame()
   return pd.concat([df1, df2])

2. Indicate which type checker you are using (mypy or pyright).
   mypy
3. Show the error message received from that type checker while checking your example.
   error: List item 0 has incompatible type "Series[Any]"; expected "DataFrame" [list-item]
   or
   error: List item 0 has incompatible type "Series[Any] | DataFrame"; expected "DataFrame" [list-item]

Please complete the following information:

• OS: Windows
• OS Version: 10
• python version: 3.11
• version of type checker: 1.8.0
• version of installed pandas-stubs: 2.2.0.240218

Additional context
Add any other context about the problem here.

[twoertwein]

This works on main

pandas-stubs/pandas-stubs/core/reshape/concat.pyi

Line 73 in 02abbdb

| Mapping[HashableT1, Series | DataFrame | None]

and is also tested

pandas-stubs/tests/test_pandas.py

Line 63 in 02abbdb

assert_type(pd.concat([None, series, df], axis=1), pd.DataFrame), pd.DataFrame

but is not yet released.

[tvdboom]

Not sure why Iterable[Series | DataFrame] doesn't work with a list of series and dataframes, but you are right, it works from main. Thanks. I'll wait for the release then.

[Dr-Irv]

I'm going to close this since it works on main