title: change strength of antialiasing in matplotlib
body: <p>Is it possible to increase the antialiasing in matplotlib?
  I can still see some aliasing in my data, I tried several backends and it is still there. The antialiasing flag of the lines is set.</p>
  
  <p>Here you can see what I mean </p>
  
  <p><img src="https://i.stack.imgur.com/3UVnr.png" alt="enter image description here"></p>
  
  <p>It's a sample taken from a Screenshot. It's probably not the best example but I guess one can see the stairs in the line. It was taken with the wxagg backend.</p>
  
  <p>I'm using matplotlib version 1.01 with Windows 7.</p>
  
  <p>Update:
  I don't have the code which produced the previous picture anymore, but I still have the problem. Below is a simple code example which shows the aliasing.</p>
  
  <pre><code>import numpy as np
  import matplotlib
  matplotlib.use('wxAgg')
  import matplotlib.pyplot as pl
  print 'Backend:', pl.get_backend()
  
  x = np.linspace(0,6,100)
  y = np.sin(x)
  
  for a in range(10):
      pl.plot( x, a/10.*x, linewidth=1)
  
  pl.show()
  </code></pre>
  
  <p>It print's <code>Backend: WXAgg</code>
  And the resulting plot looks like the following.
  <img src="https://i.stack.imgur.com/J7mx1.png" alt="aliasing"></p>
  
  <p>Especially the lower red curve shows clear aliasing. </p>