title: Plotting different predictions with same column names and categories Python/Seaborn
body: <p>I have df with different groups. I have two predictions (iqr, median).</p>
  <pre><code>cntx_iqr    pred_iqr    cntx_median pred_median
  18-54        83          K18-54         72
  R18-54       34          R18-54         48
  25-54        33          18-34          47
  K18-54       29          18-54          47
  18-34        27          R25-54         29
  K18-34       25          25-54          23
  K25-54       24          K25-54         14
  R18-34       22          R18-34          8
  R25-54       17          K18-34          6         
  </code></pre>
  <p>Now I want to plot them using seaborn and I have melted data for pilots. However, it does not look right to me.</p>
  <pre><code>pd.melt(df, id_vars=['cntx_iqr', 'cntx_median'], value_name='category', var_name=&quot;kind&quot;)
  </code></pre>
  <p>I am aiming to compare predictions <code>(pred_iqr,pred_median)</code> from those 2 <code>groups (cntx_iqr, cntx_median)</code> maybe stack barplot or some other useful plot to see how each group differs for those 2 predictions.</p>
  <p>any help/suggestion would be appreciated</p>
  <p>Thanks in advance</p>