title: Filter Multiple Values using pandas
body: <p>I am using Python and Pandas. I have a <code>df</code> that works similar to this:</p>
  <pre><code> +--------+--------+-------+
   |  Col1  |  Col2  | Col3 |
   +--------+--------+-------+
   | Team 1 | High   | Pizza |
   | Team 1 | Medium | Sauce |
   | Team 1 | Low    | Crust |
   +--------+--------+-------+
  </code></pre>
  <p>I would like to filter the <code>df</code> so that I only see High or Medium from <code>Col2</code>.</p>
  <p>This is what I have tried with no luck</p>
  <pre><code> df = df.loc[df['Col2'] == 'High' | (df['Col2'] == 'Medium')]
  </code></pre>
  <p>This is the error I am getting</p>
  <pre><code> cannot compare a dtyped [bool] array with a scalar of type [bool]
  </code></pre>
  <p>Any ideas how to make this work and what that error means?</p>