title: How do I delete time values from Pandas DateTime Index?
body: <p>Reading from cvs file.</p>
  
  <pre><code>df = pd.read_csv(filename, sep=";", names=['DateTime','Open','High','Low','Close','Vol'],
                   parse_dates = [0], index_col = 'DateTime')
  </code></pre>
  
  <p>Output data:</p>
  
  <pre><code>                            Open     High      Low    Close
  DateTime                                                     
  2016-01-03 00:00:00+00:00  1.08701  1.08723  1.08451  1.08515
  2016-01-04 00:00:00+00:00  1.08701  1.09464  1.07811  1.08239
  2016-01-05 00:00:00+00:00  1.08238  1.08388  1.07106  1.07502
  2016-01-06 00:00:00+00:00  1.07504  1.07994  1.07185  1.07766
  2016-01-07 00:00:00+00:00  1.07767  1.09401  1.07710  1.09256
  2016-01-08 00:00:00+00:00  1.09255  1.09300  1.08030  1.09218
  </code></pre>
  
  <p>How do I delete time values from above DateTime Index?</p>
  
  <p>Another question, how do I truncate values in Open/High/Low/Close to 6 decimals?</p>