title: Pandas messing up the date column on DataFrame.from_csv
body: <p>I'm using Python 3.4.0 with pandas==0.16.2. I have soccer team results in CSV files that have the following columns: date, at, goals.scored, goals.lost, result. The 'at' column can have one of the three values (H, A, N) which indicate whether the game took place at team's home stadium, away or at a neutral place respectively. Here's the head of one such file:</p>
  
  <pre><code>date,at,goals.scored,goals.lost,result
  16/09/2014,A,0,2,2
  01/10/2014,H,4,1,1
  22/10/2014,A,2,1,1
  04/11/2014,H,3,3,0
  26/11/2014,H,2,0,1
  09/12/2014,A,4,1,1
  25/02/2015,H,1,3,2
  17/03/2015,A,2,0,1
  19/08/2014,A,0,0,0
  </code></pre>
  
  <p>When I load this file into pandas.DataFrame in the usual way:</p>
  
  <pre><code>import pandas as pd
  aTeam = pd.DataFrame.from_csv("teamA-results.csv")
  </code></pre>
  
  <p>the first two columns 'date' and 'at' seem to be treated as one and I get a malformed data frame like this one:</p>
  
  <pre><code>aTeam.dtypes
  
  at              object
  goals.scored     int64
  goals.lost       int64
  result           int64
  dtype: object
  
  aTeam
  
      at  goals.scored    goals.lost  result
  date                
  2014-09-16  A   0   2   2
  2014-01-10  H   4   1   1
  2014-10-22  A   2   1   1
  2014-04-11  H   3   3   0
  2014-11-26  H   2   0   1
  ...
  </code></pre>
  
  <p>The code block does not clearly reflect the corruption, so I attached the screenshot from the Jupyter notebook:</p>
  
  <p><img src="https://i.stack.imgur.com/hfScq.png" alt="date+at columns corruption after csv_read"></p>
  
  <p>As you can see 'date' and 'at' columns seemed to be treated as one column of object type:</p>
  
  <pre><code>aTeam['at']
  
  date
  2014-09-16    A
  2014-01-10    H
  2014-10-22    A
  2014-04-11    H
  2014-11-26    H
  2014-09-12    A
  </code></pre>
  
  <p>Initially I thought the lack of quotes around the date was causing this problem, so I added those, but it did not help at all, so then I en-quoted all the values in the 'at' column which still did not solve the problem. I tried single and double quotes in the CSV file. Interestingly using no quotes or double quotes around the values in 'date' and 'at' produced the same results as you could see above. Single quotes were interpreted as parts of the value in the 'at' column, but not in the date column:</p>
  
  <p><img src="https://i.stack.imgur.com/GUsZR.png" alt="enter image description here"></p>
  
  <p>Adding the <code>parse_dates=True</code> param did not have any effect on the data frame.</p>
  
  <p>I did not have such issues when I was working with these CSV files in R. I will appreciate any help on this one.</p>