title: One-sided Wilcoxon signed-rank test using scipy
body: <p>I would like to perform a one-sided wilcoxon rank test to my paired data, as I'm interested if one sample is significantly greater than the other.</p>
  
  <p>Scipy offers</p>
  
  <pre><code>scipy.stats.wilcoxon(x,y)
  </code></pre>
  
  <p>to perform a two-sided test with paired samples x and y. Since I can't assume a normal (symmetric) distribution, I can't derive the one-sided p-value from the two-sided p-value.</p>
  
  <p>Does anybody now a python way to get the p-values for a one-sided test?</p>
  
  <p>Thanks!</p>