numpy - 3D Extrapolation in python (basically, scipy.griddata extended to extrapolate) -

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i using griddata function in scipy interpolate 3 , 4 dimensional data. works champ, except returns bunch of nans because of points need outside range of input data. given n-d data works "linear" mode interpolation anyway, should snap have griddata extrapolation instead of returning nan. has done or found workaround? clarify: have unstructured data, can't use of functions require regular grid. thanks! alex

not quite sure work , not available yet, in development version of numpy there 'pad' array function...

https://github.com/numpy/numpy/blob/master/numpy/lib/arraypad.py

one of options 'linear_ramp' extrapolates (pads) outward starting @ edge value , linearly increase/decreases specified end value.

it pure python function copy path , import (untested me though)


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