title: Pandas to_dict() Returning "Timestamp"
body: <p>Well this is embarrassing... I'm trying to create a <a href="https://stackoverflow.com/questions/20109391/how-to-make-good-reproducible-pandas-examples">good reproducible pandas example</a> by giving you guys a small sample of my dataset. I thought this would be simple with <code>df.to_dict()</code> but to no avail. </p>
  
  <pre><code>df2 = df1[['DATE_FILLED','DAYS_SUPPLY']].head(5)
  df2['DATE_FILLED'] = pd.to_datetime(df2['DATE_FILLED'])
  diction = df2.to_dict()
  </code></pre>
  
  <p>output:</p>
  
  <pre><code>{'DATE_FILLED': {0: Timestamp('2016-12-28 00:00:00'),
                   1: Timestamp('2016-12-31 00:00:00'), 
                   2: Timestamp('2016-12-20 00:00:00'), 
                   3: Timestamp('2016-12-21 00:00:00'), 
                   4: Timestamp('2016-12-26 00:00:00')}, 
       'DAYS_SUPPLY': {0: 14, 1: 14, 2: 14, 3: 7, 4: 7}}
  </code></pre>
  
  <p>But if the community were to convert it to a dataframe by using the text:</p>
  
  <pre><code>import pandas as pd
  from datetime import datetime
  import time
  d= pd.DataFrame({'DATE_FILLED': [Timestamp('2016-12-28 00:00:00'), Timestamp('2016-12-31 00:00:00'), Timestamp('2016-12-20 00:00:00'), Timestamp('2016-12-21 00:00:00'), Timestamp('2016-12-26 00:00:00')], 'DAYS_SUPPLY': [14, 14, 14, 7, 7]})
  </code></pre>
  
  <p>They would get <code>NameError: name 'Timestamp' is not defined</code>.
  I've tried importing various things and even tried playing around with the different <code>orients</code> in <a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_dict.html" rel="noreferrer"><code>pd.to_dict()</code></a>.</p>
  
  <p>How do I either convert the <code>Timestamps</code> or better yet, create a DataFrame from them? </p>