`DataFrame.apply` stub doesn't reflect default value of `axis` parameter

Describe the bug If you call DataFrame.apply and pass parameters beyond f but not including axis, you’ll get the following error from Pyright:

No overloads for "apply" match the provided arguments

To Reproduce

import pandas as pd

def gethead(s, y):
    return s.head(y)

df = pd.DataFrame({"A": [1, 2, 3, 4, 5, 6], "B": [11, 12, 13, 14, 15, 16]})

df2 = df.apply(gethead, args=tuple([4]))  # error

Pylance gives the following error on the apply call:

No overloads for "apply" match the provided arguments
  Argument types: ((s: Unknown, y: Unknown) -> Unknown, tuple[int, ...])Pylance[reportGeneralTypeIssues](https://github.com/microsoft/pylance-release/blob/main/DIAGNOSTIC_SEVERITY_RULES.md#diagnostic-severity-rules)

Please complete the following information:

• OS: Windows
• OS Version: 10.0.25197 Build 25197
• python version: 3.10.0
• version of type checker: Pylance 2022.10.21
• version of installed pandas-stubs: 1.5.0.220926

Additional context Originally reported by @jonmooser at https://github.com/microsoft/pylance-release/issues/3491

I was originally thinking that the fix was to indicate in the stubs that axis has a default value (axis: AxisType = ...), but then the two overloads of apply overlap with each other. It was looking like the correct fix would require more knowledge of the innards of apply and Pandas in general than I have.

[Dr-Irv]

fixed in #401

[Dr-Irv]

But I think the underlying problem here may be a bit different. None of the overloads allows for an args param with no axis param.

We need to have a new overload, where the return type is based on whether the function f is Callable[..., ScalarT] or Callable[..., list-like], where list-like is appropriately defined.