title: seaborn multiple variables group bar plot
body: <p>I have pandas dataframe, one index(datetime) and three variables(int)</p>
  
  <pre><code>date        A   B       C
  2017-09-05  25  261     31
  2017-09-06  261 1519    151
  2017-09-07  188 1545    144
  2017-09-08  200 2110    232
  2017-09-09  292 2391    325
  </code></pre>
  
  <p>I can create grouped bar plot with basic pandas plot. </p>
  
  <pre><code>df.plot(kind='bar', legend=False)
  </code></pre>
  
  <p><a href="https://i.stack.imgur.com/zoAmT.png" rel="noreferrer"><img src="https://i.stack.imgur.com/zoAmT.png" alt="enter image description here"></a></p>
  
  <p>However, I want to display in Seaborn or other libraries to improve my skills.<br/> I found very close answer(<a href="https://stackoverflow.com/questions/39774826/pandas-how-to-draw-a-bar-plot-with-two-categories-and-four-series-each">Pandas: how to draw a bar plot with two categories and four series each?</a>).<br/>
  In its suggested answer, it has code that</p>
  
  <pre><code>ax=sns.barplot(x='', y='', hue='', data=data)
  </code></pre>
  
  <p>If I apply this code to mine, I do not know what my 'y` would be.</p>
  
  <pre><code>ax=sns.barplot(x='date', y=??, hue=??, data=data)
  </code></pre>
  
  <p>How can I plot multiple variables with Seaborn or other libraries?</p>