title: How to normalize seaborn distplot?
body: <p>For reproducibility reasons, the dataset and for reproducibility reasons, I am sharing it [here][1]. </p>
  
  <p>Here is what I am doing - from column 2, I am reading the current row and compare it with the value of the previous row. If it is greater, I keep comparing. If the current value is smaller than the previous row's value, I want to divide the current value (smaller) by the previous value (larger). Accordingly, the following code:</p>
  
  <p>This gives the following plots.</p>
  
  <pre><code>sns.distplot(quotient, hist=False, label=protname)
  </code></pre>
  
  <p>As we can see from the plots</p>
  
  <ul>
  <li><strong>Data-V</strong> has a quotient of 0.8 when the <code>quotient_times</code> is less than 3 and the quotient remains 0.5 if the <code>quotient_times</code> is
  greater than 3.</li>
  </ul>
  
  <p>I want to normalize the values so that we have <code>y-axis</code> of the second plot  values between 0 and 1. How do we do that in Python?</p>