title: Resize subplots using seaborn
body: <p>I have just recently started to use matplotlib and seaborn to plot my graphs. This is the code that I wrote so far</p>
  
  <pre><code>count = 1
  l=[13,0,47,29,10]
  plt.figure(figsize=(30,40))
  
  for ww in l:
      temp_dict = defaultdict(list)
      entropies = list()
      for k,v in df.ix[ww].iteritems():
          e = 0
          for i in v:
              temp_dict[k].append(float(i))
              if not float(i) == 0:
                  e += -1.0*float(i)*log10(float(i))
          entropies.append(e)
  
      y = entropies
      x=(range(len(entropies)))
      slope, intercept, r_value, p_value, std_err = stats.linregress(x,y)
  
      plt.subplot(len(lista_autori),2,count)
      tdf = pd.DataFrame.from_dict(temp_dict, orient='columns')
      a = tdf.dropna()
      sns.set(font_scale=2)
      #sns.factorplot(size=2, aspect=1)
      sns.heatmap(a,linewidths=.5,cmap="RdBu_r")
      plt.xlabel(ur'year')
      plt.ylabel(ur'$PACS$')
      count +=1
  
      plt.subplot(len(lista_autori),2,count)
      plt.plot(x,y)
      x1 = (range(28))
      y1 =  [slope*i + intercept for i in x1]
      plt.plot(x1,y1)
      count +=1
  
  
  plt.tight_layout();
  </code></pre>
  
  <p>The result is the following:</p>
  
  <p><a href="https://i.stack.imgur.com/KC4wH.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/KC4wH.png" alt="enter image description here"></a></p>
  
  <p>I would like to resize each row, assigning 2/3 of the row to the left hand side picture, the remaining to the right one. I tried to look at the answer given <a href="https://stackoverflow.com/questions/10388462/matplotlib-different-size-subplots">here</a> but I found some difficulties when I have to mix ax and seaborn's heatmap. Any help or other solutions?</p>