title: An error occurred while doing astype('datetime64[ns]')
body: <p>Subject has two rows. The fist column is time.</p>
  
  <pre><code>11:46:36 ......
  12:0:4.......
  </code></pre>
  
  <p>What I am trying to do is </p>
  
  <pre><code>Subject['Time'] = Subject['Time'].astype('datetime64[ns]')
  Subject['Time']=Subject['Time'].dt.time
  </code></pre>
  
  <p>It does well for the first row and it gives me</p>
  
  <pre><code>2020-05-18 11:46:36
  </code></pre>
  
  <p>But when I want to do that for the second row it gives me the following error:</p>
  
  <pre><code>OutOfBoundsDatetime: Out of bounds nanosecond timestamp: 1-01-01 12:00:04
  </code></pre>
  
  <p>I know pandas represents timestamps in nanosecond resolution, and thus the timespan can be represented using a 64-bit integer which is limited to approximately 584 year.</p>
  
  <p>When I do <code>Subject['Time'].dtype</code> it simply gives me <code>dtype('O')</code></p>