title: Pandas Dataframe from csv not displaying correctly
body: <p>I'm trying to import a csv file (25MB - 80000 rows)  into pandas dataframe but it's not displaying correctly. The columns are seperated with a ';' when calling <code>df.columns</code>.</p>
  
  <pre><code>  Originated GeoZone;Booking ...                                                                                                                                                                                                                                                                                                                                                          
  1  PARIS;PARIS;;MARKer;EQDff;...                                                                                                                                                                                                                                                                                                                                                                                              
  2  PARIS;PARIS;;MARKer;EQDff;...                                                                                                                                                                                                                                                                                                                                                                                              
  3  PARIS;PARIS;;MARKer;EQDff;...                                                                                                                                                                                                                                                                                                                                                                                             
  4  PARIS;PARIS;;MARKer;EQDff;...  
  </code></pre>
  
  <p>The csv file is perfectly clear on Excel. Why is it not well interpreted by pandas.</p>