[SciPy-User] scipy.interpolate.UnivariateSpline overshoot (with picture)

Brad Malone brad.malone@gmail....
Tue Sep 11 14:03:33 CDT 2012

A quick follow up:

I just tried simply setting s=0, and so not smoothing the spline, and it
appeared to work correctly. There is no longer any overshoot.


On Tue, Sep 11, 2012 at 1:49 PM, Brad Malone <brad.malone@gmail.com> wrote:

> Hi, I am trying to use scipy.interpolate.UnivariateSpline to interpolate a
> region of a plot I have where there are few data points. See the figure of
> my data here: http://tinypic.com/r/dq4o3s/6
> The red and blue data points are my raw data (the blue points simply being
> the subset of the red data that I want to obtain an interpolated curve
> from). I created a sublist of the blue points and then called
>    s=UnivariateSpline(newx,newy,s=1)
> The blue line is the spline interpolated on a grid of 1000 points between
> my initial blue raw data point and my final blue raw data point. As you can
> see, the spline works quite well, except for at the peak of the curve where
> it overshoots a tad bit. I was curious as to whether there was an easy fix
> to this (perhaps an option to UnivariateSpline that I am unaware of). If
> not, any other solutions to correct this overshoot?
> I appreciate any suggestions you can give.
> Best,
> Brad
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