title: Specifying regression eq using seaborn implot?
body: <p>I have the following code, and it creates the plot perfectly but I want to have the beta, as well as the R2 for each graph.</p>
  <pre><code>g = sns.lmplot(data=corr, x=&quot;price&quot;, y=&quot;transactions&quot;, col=&quot;year&quot;, ci=95, fit_reg=True, col_wrap=3, scatter_kws={'linewidths':0.5,'edgecolor':'w'})
  def annotate(data, **kws):
      r, p = sp.stats.pearsonr(corr['price'], corr['transactions'])
      ax  = plt.gca()
      ax.text(.05, .8, 'r={:.2f}, p={:.2g}'.format(r, p), transform=ax.transAxes)
  g.map_dataframe(annotate)
  plt.show()
  </code></pre>
  <p>but somehow the r2 and the p value are all the same across graphs, why?</p>