Assert Scipy Univariate Spline Strictly Increasing

Question

I'm working with univariate splines from scipy. A simple example of one is as follows:

import scipy    

x = [1, 2, 3, 4, 5]
y = [1, 4, 9, 16, 25]
f = scipy.interpolate.UnivariateSpline(x, y)

Is there any way I could make the resulting spline strictly increasing or strictly decreasing? I've noticed that, even if I feed it strictly increasing or decreasing data points, the result won't necessarily have this property.

ev-br ev-br · Accepted Answer · 2021-01-22T18:10:55

Look for monotone interpolants, pchip and/or akima. These are at least locally monotone.

Assert Scipy Univariate Spline Strictly Increasing

1 Answers