title: Pandas - Indexing by not in index
body: <p>Googled around a bit and couldn't seem to find anything on this.</p>
  
  <p>Is there an option to access data in a pandas data frame using "not index"?
  So something like </p>
  
  <pre><code>df_index = asdf = pandas.MultiIndex(levels=[
  ['2014-10-19', '2014-10-20', '2014-10-21', '2014-10-22', '2014-10-30'],
  [u'after_work', u'all_day', u'breakfast', u'lunch', u'mid_evening']],
  labels=[[0, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 4, 4, 4, 4],
  [4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 2, 0, 1, 3, 4]],
  names=[u'start_date', u'time_group'])
  </code></pre>
  
  <p>And then I would like to be able to call the following to get everything not in <code>df_index</code></p>
  
  <pre><code>df.ix[~df_index]
  </code></pre>
  
  <p>I know you can do it for logical indexing within pandas. Just curious if I could do it using an Index Object</p>