title: How to select multiple rows in a pandas column to create a new dataframe
body: <p>I have a Pandas Dataframe and there are some columns that I want to keep in terms of location and others I do not.</p>
  <p>I know that when selecting a specific value in a column to get a row I can use:</p>
  <pre><code>x = df[df['location']=='Aberdeen']
  </code></pre>
  <p>However, how can I do it for many locations without having to do them individually and then concatenate?</p>
  <p>This is what Ive tried:</p>
  <pre><code>x = df[[df['location']=='Aberdeen' &amp; 'Glasgow' &amp; 'London']]
  </code></pre>
  <p>But I am receiving a:</p>
  <blockquote>
  <p>TypeError: 'Series' objects are mutable, thus they cannot be hashed</p>
  </blockquote>
  <p>I know there must be a super simple solution to this but I haven't figured it out, please help.</p>