title: Pandas drop rows with value less than a given value
body: <p>I would like to delete rows that contain only values that are less than 10 and greater than 25. My sample dataframe will look like this:</p>
  
  <pre><code>a   b   c  
  1   2   3  
  4   5   16  
  11  24  22  
  26  50  65  
  </code></pre>
  
  <p><strong>Expected Output:</strong>  </p>
  
  <pre><code>a   b   c  
  1   2   3  
  4   5   16   
  26  50  65  
  </code></pre>
  
  <p>So if the row contains any value less than 10 or greater than 25, then the row will stay in dataframe, otherwise, it needs to be dropped. </p>
  
  <p>Is there any way I can achieve this with Pandas instead of iterating through all the rows?</p>