title: detecting timeseries anomalies with python
body: <p>I am studying a large collection of time series.
  In general, the time series follow a linear trend (with some noise), an example looks like this:</p>
  
  <p><a href="https://i.stack.imgur.com/NHMBl.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/NHMBl.png" alt="Example of normal time series"></a></p>
  
  <p>Sometimes, however, there is a fault in the detector, which causes a sudden drop in the y-values of the time series. Example:</p>
  
  <p><a href="https://i.stack.imgur.com/O28bv.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/O28bv.png" alt="enter image description here"></a></p>
  
  <p><strong>My question: How can I detect such 'jumps' using Python?</strong></p>