feat: reduce np.ndarray

[cmp0xff]

• Addresses Strict report as of 3/13/2025 #1171 : Change references to npt.NDArray to be npt.NDArray[Any]

[MarcoGorelli]

np_1d_array[np.intp]?

[cmp0xff]

0023b02

[cmp0xff]

/pandas_nightly

[cmp0xff]

0023b02

[cmp0xff]

/pandas_nightly

[Dr-Irv]

A few main issues:

1. I think we should be consistent in the stubs in using the np_ndarray_xxx types that are now in _typing.pyi , rather than npt.NDArray[np.integer], etc. I think it's better to use those types that we have in _typing.pyi so we can be consistent througout the stubs.
2. pd.unique(someIndex) and Index.unique() are a bit of a mess, because the behavior changes from 2.3 to 3.0. See the release notes: https://pandas.pydata.org/docs/dev/whatsnew/v3.0.0.html#other . So what we need to do here is return the numpy types as is done in 2.3, and put in a comment to switch to the Index types when 3.0 is released.
3. I don't think we should use npt.NDArray[np.double] in the stubs. We always use np.floating
4. There are places where we can be more precise on what are the allowed numpy array types as arguments.

I didn't necessarily pick up everything related to the main issues, and some of my comments are related to the 3 issues above.

[Dr-Irv]

This is getting pretty close

[cmp0xff]

/pandas_nightly

[Dr-Irv]

thanks @cmp0xff