title: pd.to_datetime Hours and Seconds
body: <p>Good Evening,</p>
  
  <p>I have a dataframe(Pandas), with a column representing dates, in the following format: </p>
  
  <pre><code>print(df["date"])
  
  14/01/18 12:47
  14/01/18 12:48
  14/01/18 12:50
  14/01/18 12:57
  14/01/18 12:57
  14/01/18 12:57
  14/01/18 12:57
  14/01/18 12:57
  14/01/18 12:58
  </code></pre>
  
  <p>Specifically, I would like to:
  1. <strong>Convert</strong> it to <strong>datetime</strong>, using <em>pd.to_datetime</em> 
  2. Create the following <strong>additional</strong> <strong>columns</strong>:</p>
  
  <pre><code>df["month"]
  df["day"]
  df["year"]
  df["hour"]
  df["minute"]
  </code></pre>
  
  <p>I tried to run:</p>
  
  <pre><code>df['date'] = pd.to_datetime(df['date'], format = "%d/%m/%Y %H/%M" )
  </code></pre>
  
  <p>But the following <strong>error</strong> appears:</p>
  
  <pre><code>time data '02/01/18 08:41' does not match format '%d/%m/%Y %H/%M' (match)
  </code></pre>