title: Convert Pandas DF column from UTC to US-Eastern time without date
body: <p>I have this Pandas dataframe column:</p>
  
  <pre><code>                     time_UTC
  0   2015-01-05 16:44:34+00:00
  1   2015-08-11 16:44:38+00:00
  2   2015-08-02 16:53:25+00:00
  3   2015-08-17 16:53:25+00:00
  4   2015-09-28 16:53:26+00:00
  Name: time_UTC, dtype: datetime64[ns, UTC]
  </code></pre>
  
  <p>and I converted it from UTC to US-Eastern timezone using:</p>
  
  <pre><code>list_temp = []
      for row in df['time_UTC']:
          list_temp.append(Timestamp(row, tz = 'UTC').tz_convert('US/Eastern'))
      df['time_EST'] = list_temp
  </code></pre>
  
  <p>to get this:</p>
  
  <pre><code>0   2015-01-05 11:44:34-05:00
  1   2015-08-11 11:44:38-05:00
  2   2015-08-02 11:53:25-05:00
  3   2015-08-17 11:53:25-05:00
  4   2015-09-28 11:53:26-05:00
  Name: time_EST, dtype: datetime64[ns, US/Eastern]
  </code></pre>
  
  <p>Now, I need to drop the date part of the entries so that I only get the time. Here is what I need:</p>
  
  <pre><code>0   11:44:34-05:00
  1   11:44:38-05:00
  2   11:53:25-05:00
  3   11:53:25-05:00
  4   11:53:26-05:00
  Name: time_EST, dtype: datetime64[ns, US/Eastern]
  </code></pre>
  
  <p><strong>Attempt:</strong></p>
  
  <p>I tried this:</p>
  
  <pre><code>print df['time_EST'].apply(lambda x: dt.time(x.hour,x.minute,x.second))
  </code></pre>
  
  <p>The conversion is made so that date is dropped and I only get time. But it is reverting back to the UTC timezone. Here is the output of the above command:</p>
  
  <pre><code>0    16:44:34
  1    16:44:38
  2    16:53:25
  3    16:53:25
  4    16:53:26
  Name: time_EST, dtype: object
  </code></pre>
  
  <p><strong>Question:</strong></p>
  
  <p>Is there a way to drop the date and keep time as US-Eastern, without automatically reverting back to UTC?</p>
  
  <p><strong>EDIT:</strong></p>
  
  <p>To recreate the problem, just copy the first DataFrame above and use this code:</p>
  
  <pre><code>import pandas as pd
  from pandas.lib import Timestamp
  import datetime as dt
  df = pd.read_clipboard()
  </code></pre>
  
  <p>Then copy the remaining lines of code from the question. Any assistance with this problem would be greatly appreciated.</p>