title: seaborn plot from total
body: <p>I have the following data frame:</p>
  
  <pre><code>df = pd.DataFrame({'group': ['Red', 'Red', 'Red', 'Blue', 'Blue', 'Blue'],
                     'valueA_found': [10, 40, 50, 20, 50, 70],
                     'valueA_total': [100,200, 210, 100, 200, 210],
                    'date': ['2017-01-01', '2017-02-01', '2017-03-01', '2017-01-01', '2017-02-01', '2017-03-01']})
  </code></pre>
  
  <p>and can create a plot:</p>
  
  <pre><code>fig, ax = plt.subplots(figsize=(15,8))
  sns.set_style("whitegrid")
  g = sns.barplot(x="date", y="valueA_found", hue="group", data=df)
  # g.set_yscale('log')
  g.set_xticklabels(df.date, rotation=45)
  g.set(xlabel='date', ylabel='value from total')
  </code></pre>
  
  <p>But, I  would rather like to see below per each point in time: 
  <a href="https://i.stack.imgur.com/reaHO.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/reaHO.png" alt="enter image description here"></a>
  as you can see per each model valueA_found is plotted as a bar and the total is plotted as a single bar.</p>
  
  <p>Initially suggested, it would also be possible to plot the total as a line - but as outlined in the comments it is probably better to produce a bar as well. valueA_total i.e. the total should be the same per group per month.</p>