title: Regular Expression to Remove Rows
body: <p>It's a very interesting question and I am seeking help of experts to understand more about it and how to do it. I have a DataFrame (which I made while parsing data from Big Iron... still exists). Now I want to remove some rows by using regular expression but don't know how does it work in Pandas. </p>
  
  <pre><code>24 | DRFT.146.856 |    Dollar-  |  (60.00) | DEBITS-  |  0.00 |  CREDITSDRA- | 0.00   
  25 |   0616-21.01 |      2407   |  WAYZAT  |   TMCD   | JUNE  |      16,DRA  |2013   
  26 |          AND | CORRECTION  |JOURNAL00 |    &lt;DB&gt;  |KLRETY | CATEGORYDRA- |    *   
  27 | DRFT.146.867 |    Dollar-  | (200.00) | DEBITS-  |  0.00 |  CREDITSDRA- | 0.00   
  28 | DRFT.146.922 |   Dollar-   | (25.00)  |DEBITS-   | 0.00  | CREDITSDRA-  |0.00   
  29 | DRFT.146.963 |    Dollar-  | (100.00) | DEBITS-  |  0.00 |  CREDITSDRA- | 0.00   
  30 | DRFT.146.964 |    Dollar-  | (100.00) | DEBITS-  |  0.00 |  CREDITSDRA- | 0.00  
  </code></pre>
  
  <p>The row of concern is 25 &amp; 26 where the data is not following any pattern. Any clue. </p>