title: Reassign Pandas DataFrame column values
body: <p>I have a csv that has incorrect datetime formatting. I've worked out how to convert those values into the format I need, but now I need to reassign all the values in a column to the new, converted values. </p>
  
  <p>For example, I'm hoping that there's something I can put into the following FOR loop that will insert the values back into the dataframe at the correct location:</p>
  
  <pre><code>for i in df[df.columns[1]]:
      t = pd.Timestamp(i)
      short_date = t.date().strftime('%m/%d/%Y').lstrip('0')   
      # Insert back into dataframe?
  </code></pre>
  
  <p>As always, your help is very much appreciated!</p>
  
  <p>Part of the column in question:
  Part of the dataframe in question:</p>
  
  <pre><code>Created Date    
  2019-02-27 22:55:16    
  2019-01-29 22:57:12    
  2018-11-29 00:13:31    
  2019-01-30 21:35:15
  2018-12-20 21:14:45    
  2018-11-01 16:20:15    
  2019-04-11 16:38:07    
  2019-01-24 00:23:17    
  2018-12-21 19:30:10    
  2018-12-19 22:33:04    
  2018-11-07 19:54:19    
  2019-05-10 21:15:00
  </code></pre>