title: Extract characters or Split column (dtype float64)
body: <p>I am new to Python and I have imported a dataframe with the first column of this df looking as follows (type float64):</p>
  
  <pre><code>                        GSR-EDA100C-MRI
  2019-05-10 15:59:34.004378    38.967896
  2019-05-10 15:59:34.004478    38.964844
  2019-05-10 15:59:34.004578    38.966370
  2019-05-10 15:59:34.004678    38.964844
  ... 
  </code></pre>
  
  <p>As you can see, this column includes a combination of the date, the time as well as the value I am interested in (38.96...). Is there a way to split up this column into three single columns displaying 'date', 'time', and 'value' and attach it to the existing data frame?</p>
  
  <p>(All suggestions I tried [e.g. df.str.split or df.str.extract] did not work with the float64 datatype since they are based in string characters).</p>
  
  <p>All help is much appreciated!</p>