title: Convert seconds to Datetime, without dropping the microsecond precision, using pandas to_datetime
body: <p>I'm trying to convert an array of seconds-since-epoch values, including microsecond precision, to Datetime format using pandas to_datetime as shown below:</p>
  
  <pre><code>x = 1487187300.038075
  time = pd.to_datetime(x, unit='s')
  </code></pre>
  
  <p>This successfully converts to a Timestamp, but the microsecond precision is dropped (or at least not visible), producing:</p>
  
  <pre><code>Timestamp('2017-02-15 19:35:00')
  </code></pre>
  
  <p>Any advice on how to convert without losing the precision?  None of my searches so far turn up examples where the OP cared to maintain the microsecond precision.</p>