title: How to increase the hatch density matplotlib?
body: <p>I'm trying to increase the density of hatch marks I have for a map. This is how I'm currently doing it and I can't get anything to show up on my map when it should. I want to contour values less than  0.05 (sig p-valuea). And repeating the type of hashing I want doesn't help with the problem.</p>
  
  <p><code>levels = [spnewdata[:,:,1].min(), 0.05]
    cs1 = plt.contour(x, y, spnewdata[:,:,1],levels=levels, colors='none', hatch='X', alpha=0)</code> </p>
  
  <p><strong>Edit:</strong>
  Here's a little more complete form of the code I'm using to make the maps. I've tried both <code>plt.contour</code> and <code>plt.contourf</code> and neither work. However I do know there should be values under 0.05 in the data, so I know that is not the issue here. </p>
  
  <pre><code>import matplotlib as mpl
  import matplotlib.pylab as plt
  
  plt.figure(1,figsize=(10, 8))
   # Setting a cylindrical coordinate map
   map = Basemap(projection='cyl',\
          llcrnrlat=LLlat,urcrnrlat=URlat,\
          llcrnrlon=LLlon,urcrnrlon=URlon,\
          rsphere=6371200.,resolution='i')
  map.drawcoastlines(linewidth=0.5) # Draw some coastlines
  lons,lats = map(lon,lat) # Setting up the grid in cylindrical coords.
  cs = plt.contourf(lons,lats,spnewdata[:,:,0],np.arange(-.3,.4,.1),cmap=plt.cm.RdYlBu, extend='both')
  x, y =(lons, lats)
  
  levels = [spnewdata[:,:,1].min(), 0.05]
  cs1 = plt.contour(x, y, spnewdata[:,:,1],levels=levels, colors='none', hatch='X', alpha=0)`
  </code></pre>