title: How to plot a Seaborn FacetGrid with different variables per row?
body: <p>I have a Pandas data frame with one column of categorical variables <code>C={A,B,C,..}</code> and a number of numerical columns <code>var1</code>,<code>var2</code>,...,<code>var_n</code>. I would like to plot a grid where each row contains a histogram on of the numerical columns conditioned on all different categorical variables(one per column). It is pretty straightforward for only one numerical variable, however, I am having trouble extending it to the multiple variables. I could probably do this via subplot but I am wondering if it exists directly in Seaborn</p>
  
  <p>This is what I want,</p>
  
  <pre><code>A-list(var1) | B-hist(var1) | C-hist(var1)...
  A-hist(var2) | B-hist(var2) | C-hist(var2)...
  A-hist(var3) | B-hist(var3) | C-hist(var3)...
  ....
  </code></pre>