title: Plotting Wigner-Ville distribution with pytftb on python 3
body: <p>I am testing wigner ville distribution to see if it works for the estimation of original amplitude of a signal with noise.</p>
  
  <p>The pytftb provides a wigner ville function that works well with their examples. I use it like this:</p>
  
  <pre><code>tfr = WignerVilleDistribution(prepack[0])
  tfr.run()
  tfr.plot(show_tf=True)
  </code></pre>
  
  <p>And it looks like it's working:</p>
  
  <p><a href="https://i.stack.imgur.com/Nr8wv.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/Nr8wv.png" alt="enter image description here"></a></p>
  
  <p>However, I can't really understand what's happening here, so i'd like to alter the frequency axis, and probably print regarding to absolute frequency rather than normalized? I don't really understand Wigner Ville Distribution though, so if am looking at it wrong i'd appreciate some help!</p>