title: sns barplot of all columns and rows of a dataframe from pd.describe()
body: <p>I'm trying to compare the differences and similarities between 10 dataframes. I have decided to df.describe() each dataframe in turn and accumulate the results into a new dataframe.</p>
  
  <pre><code>    count     mean      std      min      25%      50%      75%      max
  run                                                                     
  0      38  11.9394  3.99795  2.66622  9.00963  13.6531  14.6516  18.2803
  1      75  13.7902  2.69114  8.06895  13.5017  14.3492  15.4146  17.4614
  2      17  13.9666  1.12535  11.1525  13.7025  14.1217  14.6637  15.6118
  3      21  13.2841  2.81016  6.25177   13.198  14.0382  15.1457  16.2141
  4      29  11.5376  3.35056  6.70377  8.43451  12.8287  14.7004   16.155
  5      11  12.5245   3.0237  6.01391  11.0818  13.6772  14.6237   15.527
  6      32  13.7039  2.36393  6.95464  13.6765  14.1967  14.8114  17.3966
  7      11  13.9055  2.03886  10.5235  12.6321  13.9394  14.5784  18.0726
  8      19  13.2579  1.80329  9.00478  13.0772  13.8909  14.1755  15.0772
  9      28  13.2817  3.61778  5.64462  9.90116  14.6581  15.6785  18.7766
  </code></pre>
  
  <p>I thought from this point it would be trivial to do a barplot where each bar was a different variable (the columns) and they where hue'd according to which dataframe the variable was from(the rows).</p>
  
  <p>However I can't work out how to split up the columns.</p>
  
  <pre><code>sns.barplot(data = describedWidth)
  </code></pre>
  
  <p>outputs the following graph</p>
  
  <p><a href="https://i.stack.imgur.com/9XITl.png" rel="nofollow noreferrer">https://i.stack.imgur.com/9XITl.png</a></p>
  
  <p>Thanks in advance</p>