Good day Monks. I have some accelerometer data that is noisy, so I would like to smooth it using spline fitting. I have been trying to do this using Python scipy.interpolate and it is driving me ABSOLUTELY BONKERS with type conflicts.

So I thought I would try my go-to language: beautiful, typeless Perl. Alas, I'm not smart enough to figure out how to use Math::Spline for this purpose, and strangely after some searching around can't find any examples.

Some toy data is: 

use strict;
use feature ':5.10';
my @accel = [[-0.7437,0.1118,-0.5367],
             [-0.5471,0.0062,-0.6338],
             [-0.7437,0.1216,-0.5255],
             [-0.4437,0.3216,-0.3255],
];

[download]
What I'd like to do is turn this into, say, 200 rows with interpolated values. Can anyone point me in the right direction?

In reply to How to smooth values of an x,y,z array using Math::Spline by cormanaz

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