title: plot a seaborn boxplot with month as x-axes with a daily dataset
body: <p>I have a dataset like this:</p>
  
  <pre><code>&gt;&gt;&gt; print(ds.head())
  
           date     sum
    0  2013-08-31  19.000
    1  2013-09-01  37.000
    2  2013-09-02  10.750
    3  2013-09-03  21.500
    4  2013-09-04  44.125
  
  &gt;&gt;&gt; print(ds.tail())
  
  
              date      sum
      1742  2018-08-24  129.875
      1743  2018-08-25  196.375
      1744  2018-08-26  247.000
      1745  2018-08-27  104.125
      1746  2018-08-28  149.250
  </code></pre>
  
  <p>The dataset contains about 1700 rows with daily data. 
  I want to plot a boxplot so see the monthly values. 
  Something like this
  <a href="https://i.stack.imgur.com/U7UG4.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/U7UG4.png" alt="monthly boxplot"></a></p>
  
  <p>I need the months on the x-axes like JAN/FEB/MAR and so on.</p>
  
  <p>I can´t find any working solutions where I can achieve this if I have a daily dataset. I think I have to do data preparation and group the values per month first?
  Or how can I program this in an easy and short way?</p>