title: plotting value_counts() in seaborn barplot
body: <p>I'm having trouble getting a barplot in seaborn.  Here's my reproducible data:</p>
  
  <pre><code>people = ['Hannah', 'Bethany', 'Kris', 'Alex', 'Earl', 'Lori']
  reputation = ['awesome', 'cool', 'brilliant', 'meh', 'awesome', 'cool']
  dictionary = dict(zip(people, reputation))
  df = pd.DataFrame(dictionary.values(), dictionary.keys())
  df = df.rename(columns={0:'reputation'})
  </code></pre>
  
  <p>Then I want to get a bar plot showing the value counts of different reputation.  I've tried:</p>
  
  <pre><code>sns.barplot(x = 'reputation', y = df['reputation'].value_counts(), data = df, ci = None)
  </code></pre>
  
  <p>and </p>
  
  <pre><code>sns.barplot(x = 'reputation', y = df['reputation'].value_counts().values, data = df, ci = None)
  </code></pre>
  
  <p>but both return blank plots.  </p>
  
  <p>Any idea what I can do to get this?  </p>