Holly Mandel

I have a question that arose while investigating this from the `xarray` side. It seems that `scipy.interpolate.interp1d` will not pass the linear interpolation to `np.interpolate` [if the data type is...

Ah makes sense, thanks for clarifying @ev-br!

> Lots of type hints are `np.ndarray`, have you checked if this is indeed the only allowed argument and no Duckarrays or > Thank you for this PR. This topic...

Thanks, that makes sense. Appreciate the support and feedback!

@headtr1ck Thanks again for your help with this. I had two additional questions. 1. I'm trying to use DuckArrays (`T_DuckArray`) when only DuckArray methods are required for the function to...

I would like to work on this. For clarity, the goal is to support tensor product interpolation wherever scipy `interpn` supports it, and remove any no-longer-necessary dimension checks (as in...

The 1d interpolation situation seems to have a few additional inconsistencies, maybe due to updates to the scipy interface. 1. `da.interp()` cannot access any of the methods in `Interp1dOptions` due...

I am having a hard time tracing the impact of the vectorizeability of `_interp_func`. I wonder if there is some decorator-type behavior about detecting the vectorizeability of functions that is...

It fails `test_interpolate_vectorize` in `test_interp.py`. Because if `vectorizeable_only` is False then it will use `numpy.interp` to interpolate. This will eventually result in an `object too deep for desired array` error....

I have been unable to reproduce the strange behavior described in my previous comment so I think it's actually behaving reasonably. Thanks for the response. I have submitted a PR...