title: Seasonal-Trend-Loess Method for Time Series in Python
body: <p>Does anyone know if there is a Python-based procedure to decompose time series utilizing STL (Seasonal-Trend-Loess) method?</p>
  
  <p>I saw references to a wrapper program to call the <code>stl</code> function 
  in R, but I found that to be unstable and cumbersome from the environment set-up perspective (Python and R together). Also, link was 4 years old.</p>
  
  <p>Can someone point out something more recent (e.g. <code>sklearn</code>, <code>spicy</code>, etc.)?</p>