title: Pandas the fastest way read_csv array column as an array rather than string
body: <p>I have a test.csv file like</p>
  <pre><code>&quot;item_id&quot;,&quot;array&quot;
  &quot;1&quot;,&quot;[1,2,3]&quot;
  &quot;2&quot;,&quot;[3,5]&quot;
  &quot;2&quot;,&quot;[4,5,6,7]&quot;
  </code></pre>
  <p>When I use read this csv using pandas like below, the array column is a string type.</p>
  <pre><code>data = pd.read_csv(&quot;test.csv&quot;)
  c = data[&quot;array&quot;][0]    # c is a string '[1,2,3]'
  </code></pre>
  <p>I would like c=[1,2,3], which is a list or a numpy array.</p>
  <p>Is there any way to do so quickly? Since the data can be very large. The for-loop or data[&quot;array&quot;].apply(ast.literal_eval) is slow in my real data.</p>