title: Resample hourly TimeSeries with certain starting hour
body: <p>I want to resample a TimeSeries in daily (exactly 24 hours) frequence starting at a certain hour.</p>
  
  <p>Like:</p>
  
  <pre><code>index = date_range(datetime(2012,1,1,17), freq='H', periods=60)
  
  ts = Series(data=[1]*60, index=index)
  
  ts.resample(rule='D', how='sum', closed='left', label='left')
  </code></pre>
  
  <p>Result i get:</p>
  
  <pre><code>2012-01-01  7
  2012-01-02 24
  2012-01-03 24
  2012-01-04  5
  Freq: D
  </code></pre>
  
  <p>Result i wish:</p>
  
  <pre><code>2012-01-01 17:00:00 24
  2012-01-02 17:00:00 24
  2012-01-03 17:00:00 12
  Freq: D
  </code></pre>
  
  <p>Some weeks ago you could pass <code>'24H'</code> to the <code>freq</code> argument and it worked totally fine.
  But now it combines <code>'24H'</code> to <code>'1D'</code>.</p>
  
  <p>Was I using a bug with <code>'24H'</code> which is fixed now?
  And how can i get the wished result in a efficient and pythonic (or pandas) way back?</p>
  
  <p>versions:</p>
  
  <ul>
  <li>python 2.7.3</li>
  <li>pandas 0.9.0rc1 (but doesn't work in 0.8.1, too)</li>
  <li>numpy 1.6.1</li>
  </ul>