title: How to remove rows in a Pandas Dataframe with a specific column containing numbers only?
body: <p>Lets say I have this DF:</p>
  
  <pre><code>ID     IGName          Date_created
  0     BananaMan         09/10/2018
  1     Superman247       10/10/2009
  2     123456789         08/03/2011
  3     Nameless101       07/12/2012
  </code></pre>
  
  <p>I want to be able to <strong>remove</strong> all the rows in the DF where the <code>IGName</code> is only numbers.  </p>
  
  <p>Like how in this example, row 3 is all numbers. I want to be able to keep the names alphanumeric rows but not the rows with ONLY numerics.</p>
  
  <p>I want the result to look like this:</p>
  
  <pre><code>ID     IGName          Date_created
  0     BananaMan         09/10/2018
  1     Superman247       10/10/2009
  3     Nameless101       07/12/2012
  </code></pre>