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this week weamp;#39;re going to look at change point detection with the ruptures library welcome to another pie monday hello iamp;#39;m john lehman a software engineer for unidata this week weamp;#39;re going to look at finding change points in a different way than we have in the past normally weamp;#39;ve done something like take the derivative for the second derivative and look for going outside of some kind of bound there but we know that derivatives with real data can be noisy so then we have to smooth and condition our signals and do some other tricks thereamp;#39;s a library called ruptures though that specializes in change point detection and there are many different methods that it has to do that that are outlined here in the documentation but weamp;#39;re going to use a relatively simple one called a linearly panelized segmentation weamp;#39;re going to see if we can use this method to find a frontal passage in mesonet data letamp;#39;s go on over to the notebo