`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

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

Lines 1633 to 1641 in 2acc94d

	def clip(
	self,
	lower: float | None = ...,
	upper: float | None = ...,
	*,
	axis: Axis | None = ...,
	inplace: _bool = ...,
	**kwargs,
	) -> DataFrame: ...

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

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"Pylance[reportArgumentType](https://github.com/microsoft/pyright/blob/main/docs/configuration.md#reportArgumentType)

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.