title: How to get all the columns in python where there's at least one pandas._libs.tslibs.nattype.NaTType?
body: <p>I have a dataframe that looks like:</p>
  <div class="s-table-container">
  <table class="s-table">
  <thead>
  <tr>
  <th>Column1</th>
  <th>Column2</th>
  <th>Column3</th>
  </tr>
  </thead>
  <tbody>
  <tr>
  <td>1</td>
  <td>NaT</td>
  <td>4</td>
  </tr>
  <tr>
  <td>5</td>
  <td>2020-10-14 19:37:15</td>
  <td>5</td>
  </tr>
  </tbody>
  </table>
  </div>
  <p>I need to identify all the columns that have at least one <code>NaT</code> (<code>pandas._libs.tslibs.nattype.NaTType</code>) in it. In this case it would be a result of:</p>
  <pre><code>[Column2]
  </code></pre>
  <p>What is a way to get such a list?</p>
  <p><strong>Update:</strong></p>
  <p>I think I have it now:</p>
  <pre><code>[i for i in df.columns if pd._libs.tslibs.nattype.NaTType in [type(item) for item in df[i]]]
  </code></pre>