title: pandas read_csv and keep only certain rows (python)
body: <p>I am aware of the skiprows that allows you to pass a list with the indices of the rows to skip. However, I have the index of the rows I want to keep.</p>
  
  <p>Say that my cvs file looks like this for millions of rows:</p>
  
  <pre><code>  A B
  0 1 2
  1 3 4
  2 5 6
  3 7 8
  4 9 0
  </code></pre>
  
  <p>The list of indices i would like to load are only 2,3, so</p>
  
  <pre><code>index_list = [2,3]
  </code></pre>
  
  <p>The input for the skiprows function would be [0,1,4]. However, I only have available [2,3].</p>
  
  <p>I am trying something like:</p>
  
  <pre><code>pd.read_csv(path, skiprows = ~index_list)
  </code></pre>
  
  <p>but no luck.. any suggestions?</p>
  
  <p>thank and I appreciate all the help,</p>