title: Panda to_datetime raises warning: tzname CET identified but not understood
body: <p>I have a pandas DataFrame with a colum containing string timestamps in the form:</p>
  <p><code>31 Jan 2020 17:29:37 CET</code></p>
  <p><code>09 Apr 2021 15:34:53 CEST</code></p>
  <p>Converting the column to timestamps returns a warning:</p>
  <pre class="lang-py prettyprint-override"><code>df['timestamp'] = pd.to_datetime(df[&quot;timestamp&quot;])
  c:\Users\user\Miniconda3\lib\site-packages\dateutil\parser\_parser.py:1213: UnknownTimezoneWarning: tzname CET identified but not understood.  Pass `tzinfos` argument in order to correctly return a timezone-aware datetime.  In a future version, this will raise an exception.
    warnings.warn(&quot;tzname {tzname} identified but not understood.  &quot;
  c:\Users\user\Miniconda3\lib\site-packages\dateutil\parser\_parser.py:1213: UnknownTimezoneWarning: tzname CEST identified but not understood.  Pass `tzinfos` argument in order to correctly return a timezone-aware datetime.  In a future version, this will raise an exception.
    warnings.warn(&quot;tzname {tzname} identified but not understood.  &quot;
  </code></pre>
  <p>I've seen lots of discussions about this warning, but couldn't find a solution in the context of pandas' <code>to_datetime()</code> method. Can anyone help? It's critical that the timestamps are normaized accurately as I then want to sort my dataframe with this column.</p>
  <p>Thanks!</p>