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I have a pandas dataframe with the following columns: data = {'Date': ['01-06-2013', '02-06-2013', '02-06-2013', '02-06-2013', '02-06-2013', '03-06-2013', '03-06-2013', '03-06-2013', '03-06-2013', '04-06-2013'], 'Time': ['23:00:00', '01:00:00', '21:00:00', '22:00:00', '23:00:00', '01:00:00', '21:00:00', '22:00:00', '23:00:00', '01:00:00']} df = pd.DataFrame(data) Date Time 0 01-06-2013 23:00:00 1 02-06-2013 01:00:00 2 02-06-2013 21:00:00 3 02-06-2013 22:00:00 4 02-06-2013 23:00:00 5 03-06-2013 01:00:00 6 03-06-2013 21:00:00 7 03-06-2013 22:00:00 8 03-06-2013 23:00:00 9 04-06-2013 01:00:00 How do I combine data['Date'] & data['Time'] to get the following? Is there a way of doing it using pd.to_datetime ? Date 01-06-2013 23:00:00 02-06-2013 01:00:00 02-06-2013 21:00:00 02-06-2013 22:00:00 02-06-2013 23:00:00 03-06-2013 01:00:00 03-06-2013 21:00:00 03-06-2013 22:00:00 03-06-2013 23:00:00 04-06-2013 01:00:00
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