new_contents: """
  Plot the entropy of user usages by county.
  
  """
  
  import sys
  import twitterproj
  import json
  import matplotlib
  import matplotlib.pyplot as plt
  
  def collect_data():
      count = sys.argv[1]
      style = sys.argv[2]
      normalized = bool(int(sys.argv[3]))
  
      ents = twitterproj.userentropy__counties(count, style, normalized=normalized)
      fn = "userentropies_{0}_{1}_{2}.json"
      if normalized:
          fn = fn.format(count, style, 'norm')
      else:
          fn = fn.format(count, style, 'nonorm')
  
      with open(fn, 'w') as f:
          json.dump(ents, f)
  
  def plot():
      numTweets_count = json.load(open('userentropies_numTweets_count_norm.json'))
      numTweetsWithHashtags_count = json.load(open('userentropies_numTweetsWithHashtags_count_norm.json'))
  
      numTweets_count_nonorm = json.load(open('userentropies_numTweets_count_nonorm.json'))
      numTweetsWithHashtags_count_nonorm = json.load(open('userentropies_numTweetsWithHashtags_count_nonorm.json'))
  
      population = json.load(open('json/grids.counties.bot_filtered.respop72013.json'))
  
      counties = list(numTweets_count.keys())
  
      w = [numTweets_count[geoid] for geoid in counties]
      x = [numTweetsWithHashtags_count[geoid] for geoid in counties]
      y = [numTweets_count_nonorm[geoid] for geoid in counties]
      z = [numTweetsWithHashtags_count_nonorm[geoid] for geoid in counties]
      c = [population[geoid] for geoid in counties]
  
      #matplotlib.style.use('fivethirtyeight')
      import seaborn
  
      f, (ax1, ax2) = plt.subplots(1,2)
      ax1.scatter(w, x, c=c, s=5, alpha=.5, edgecolors='none',
                  norm=matplotlib.colors.LogNorm(), cmap=matplotlib.cm.GnBu)
      cax = ax2.scatter(y, z, c=c, s=5, alpha=.5, edgecolors='none',
                        norm=matplotlib.colors.LogNorm(), cmap=matplotlib.cm.GnBu)
  
      ax1.set_xlabel('Normalized User Entropy of Tweets')
      ax1.set_ylabel('Normalized User Entropy of Hashtagged Tweets')
      ax1.set_xlim(0.0001, 0.15)
      ax1.set_ylim(0.0001, 0.15)
      ax1.set_xscale('log')
      ax1.set_yscale('log')
      ax2.set_xlabel('User Entropy of Tweets')
      ax2.set_ylabel('User Entropy of Hashtagged Tweets')
  
      cb = f.colorbar(cax)
      cb.set_label("Log Population")
  
      f.savefig('UserEntropyByCounty.pdf')
  
  plot()
  #collect_data()
  
subject: Add script to plot user entropies.