Add Inverse Distance Weighted Interpolation?

Shepard's method/inverse distance weighted interpolation is very heavily used in a lot of different interpolation applications (https://en.wikipedia.org/wiki/Inverse_distance_weighting). This message is to gauge interest in adding it to the scipy interpolation stack.

Link to PR - https://github.com/scipy/scipy/pull/19665 - implements a flexible and fast version of IDW interpolation. The code as currently written allows for any custom weighting of points as a function of distance. This naturally extends the NearestNDInterpolator currently available in scipy. 

Link to issue - https://github.com/scipy/scipy/issues/2022. There has been previous discussion in the scipy community about this method. @ev-br summarized the status of adding this to scipy in this comment - https://github.com/scipy/scipy/issues/2022#issuecomment-1288027872. tl;dr - adding to scipy.interpolate seemed like a good idea, but there were a couple of different paths but no PRs to address.
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