DataFrame.stack() needs to accept list for level argument

[Dr-Irv]

Describe the bug

For DataFrame.stack(), level is allowed to be a list

To Reproduce

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

import pandas as pd
multicol2 = pd.MultiIndex.from_tuples([('weight', 'kg'),
                                       ('height', 'm')])
df_multi_level_cols2 = pd.DataFrame([[1.0, 2.0], [3.0, 4.0]],
                                    index=['cat', 'dog'],
                                    columns=multicol2)
df_multi_level_cols2.stack([0, 1])

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

pyright 1.1.286

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

stack.py:7:28 - error: Argument of type "list[int]" cannot be assigned to parameter "level" of type "Level" in function "stack"
    Type "list[int]" cannot be assigned to type "Level"
      "list[int]" is incompatible with protocol "Hashable"
        "__hash__" is an incompatible type
          Type "None" cannot be assigned to type "(self: list[int]) -> int"
      "list[int]" is incompatible with "int" (reportGeneralTypeIssues)

Please complete the following information:

• OS: Windows 10
• OS Version: 10
• python version: 3.9
• version of type checker: pyright 1.1.286
• version of installed pandas-stubs 1.5.2.221213

Additional context

Change

pandas-stubs/pandas-stubs/core/frame.pyi

Line 1000 in ab1de1f

def stack(self, level: Level = ..., dropna: _bool = ...) -> DataFrame | Series: ...

to allow Level | list[Level] for the level argument.

PR welcome with tests

[muddi900]

I'd like to work on this.

Thank you