title: Marking anomalies in 1D data
body: <p>I have a few lists of movement tracking data, which looks something like this</p>
  <p><a href="https://i.stack.imgur.com/d1Rnm.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/d1Rnm.jpg" alt="enter image description here" /></a></p>
  <p>I want to create a list of outputs where I mark these large spikes, essentially telling that there is a movement at that point.</p>
  <p>I applied a rolling standard deviation on the data with a window size of two and got this result <a href="https://i.stack.imgur.com/XXwAd.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/XXwAd.png" alt="enter image description here" /></a></p>
  <p>Now I can see the spikes which mark the point of interest, but I am not sure how to do it in code. A statistical tool to measure these spikes, which can be used to flag these spikes.</p>