`lower` and `upper` from `DataFrame.clip` don't accept array-like

[ldouteau]

Describe the bug Hi,

There is an inconsistency with Pandas's doc regarding clip. This was already fixed for Series in #443, but not for DataFrame

https://github.com/pandas-dev/pandas-stubs/blob/2acc94d60c63484d9b664b8e68aa213a4d39b937/pandas-stubs/core/frame.pyi#L1633-L1641

To Reproduce

1. From https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.clip.html

   
   import pandas as pd

data = {"col_0": [9, -3, 0, -1, 5], "col_1": [-2, -7, 6, 8, -5]} df = pd.DataFrame(data) t = pd.Series([2, -4, -1, 6, 3]) df.clip(t, t + 4, axis=0)

2. Pyright 1.1.373
3. 

Argument of type "Series[int]" cannot be assigned to parameter "upper" of type "float | None" in function "clip" Type "Series[int]" is incompatible with type "float | None" "Series[int]" is incompatible with "float" "Series[int]" is incompatible with "None"PylancereportArgumentType

**Please complete the following information:**
 - OS: Windows 11
 - OS Version 23H2
 - python version 3.12.2
 - version of type checker:  Pyright 1.1.373
 - version of installed `pandas-stubs`: 2.2.2.240807

[Dr-Irv]

Thanks for the report. PR with tests welcome.