title: Panda Python - Calculating what percentage of values are true and false out of total in boolean column
body: <p>Hello I have a boolean value with True and False.</p>
  
  <p>When I run a <code>value_counts()</code> like this</p>
  
  <pre><code>df['column'].value_counts()
  </code></pre>
  
  <p>I receive the following:</p>
  
  <pre><code>True     10718
  False     1105
  Name: column, dtype: int64
  </code></pre>
  
  <p>Is there a way to calculate what % of the total is true and what % is false?</p>
  
  <p>Something like this:</p>
  
  <pre><code>True     91%
  False    09%
  Name: column, dtype: int64
  </code></pre>
  
  <p>Thank you </p>