Interpolation over an irregular grid?

Try the combination of inverse-distance weighting and scipy.spatial. KDTree described in SO inverse-distance-weighted-idw-interpolation-with-python . Kd-trees work nicely in 2d 3d ..., inverse-distance weighting is smooth and local, and the k= number of nearest neighbours can be varied to tradeoff speed / accuracy.

There's a bunch of options here, which one is best will depend on your data... However I don't know of an out-of-the-box solution for you.

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