title: convert datetime64[ns, UTC] pandas column to datetime
body: <p>I have a dataframe which has timestamp and its datatype is object.</p>
  <pre><code>0    2020-07-09T04:23:50.267Z
  1    2020-07-09T11:21:55.536Z
  2    2020-07-09T11:23:18.015Z
  3    2020-07-09T04:03:28.581Z
  4    2020-07-09T04:03:33.874Z
  Name: timestamp, dtype: object
  </code></pre>
  <p>I am not aware of the format of the datetime in the above dataframe. I applied <strong>pd.to_datetime</strong> to the above column where the datatype is changed as <strong>datetime64[ns, UTC]</strong>.</p>
  <pre><code>df['timestamp'] = pd.to_datetime(df.timestamp)
  </code></pre>
  <p>Now the dataframe looks in this way,</p>
  <pre><code>0   2020-07-09 04:23:50.267000+00:00
  1   2020-07-09 11:21:55.536000+00:00
  2   2020-07-09 11:23:18.015000+00:00
  3   2020-07-09 04:03:28.581000+00:00
  4   2020-07-09 04:03:33.874000+00:00
  Name: timestamp, dtype: datetime64[ns, UTC]
  </code></pre>
  <p>I want to convert the above datetime64[ns, UTC] format to normal datetime.</p>
  <pre><code>For example,
  2020-07-09 04:23:50.267000+00:00  to 2020-07-09 04:23:50
  </code></pre>
  <p>Can anyone explain me what is the meaning of this <strong>2020-07-09T04:23:50.267Z</strong> representation and also how to convert this into datetime object?</p>