title: time series: resample from hour to quarter. Last rows missing
body: <p><strong>Problem:</strong>
  I have a list of 4 rows (for each hour) with values which are datetime indexed. Now I want to have 16 (4*4) rows with each value copied 3 times and filled in Forward.</p>
  
  <p><strong>My Question:</strong> How can I tell Pandas/Python to write the last three lines? 
  <a href="http://i.stack.imgur.com/6mm6B.png" rel="nofollow">Thats what i want</a></p>
  
  <p><strong>My try:</strong></p>
  
  <h1>create dataframe</h1>
  
  <pre><code>df = pd.DataFrame(
  {'A' : [4,5,6,7], 'B' : [10,20,30,40],'C' : [100,50,-30,-50]})
  </code></pre>
  
  <h1>create date</h1>
  
  <pre><code>date_60min = pd.date_range(
  '1/1/2013', periods=4, freq='60min', tz='Europe/Berlin')
  </code></pre>
  
  <h1>add date</h1>
  
  <pre><code>df['Date'] = date_60min 
  </code></pre>
  
  <h1>set date to index</h1>
  
  <pre><code>df_date = df.set_index('Date') 
  </code></pre>
  
  <h1>show df_date</h1>
  
  <pre><code>df_date
  </code></pre>
  
  <h1>Variation 1 with resmaple</h1>
  
  <pre><code>df_resample15min = df_date.resample(
  '15Min',fill_method='ffill', label='left', closed='right')
  df_resample15min
  </code></pre>
  
  <h1>Variation 2 with asfreq</h1>
  
  <pre><code>df_asfreq15min = df_date.asfreq('15Min', method='pad')
  df_asfreq15min
  </code></pre>