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From the docs, just a thought that might help. Dtype) for n in xrange(len(out outn terpolate.) splint(0,) len(y))100, xn, len(y))-1, you can get a cubic spline interpolation in a different way which may help you: import numpy as interpolation np import terpolate import plot as plt y python python ray(0,2,3,4,8,10,12,12,12,10,9,8,7,1,0,0,1,2)) x ray(range(len(y)) xvals nspace(0,) endpoint False) func terpolate.Read More
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