title: Getting Python Pandas dropna method to work with 'N/A' values?
body: <p>I have a csv file where some of the values in the fields are N/A. I have tried several methods in getting rid of those couldn't, nor could I understand how the <code>dropna()</code> function works. </p>
  
  <p>Example:</p>
  
  <pre>
  name,   Age,    Status,
  Ally,   21,     Single,
  Daniel, 32,     Single,
  John,   N/A,    Married,
  Baker,  25,     Single,
  Josh,   N/A,    Married
  </pre>
  
  <p>I am trying to use the dropna method to drop the 'N/A' value.
  I want the result to return a list containing the age as <code>[21,32,25]</code>
  How do I do this?</p>