title: How to split pandas column into two columns with strings and ints
body: <p>Im looking to split the column Date range into two columns, starting date and ending date. However it split doesn't seem to work because it does not recognise the '-'. Any advice?</p>
  <p><a href="https://i.stack.imgur.com/aIfUE.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/aIfUE.png" alt="enter image description here" /></a></p>
  <p>I tried using</p>
  <p>'''
  ebola1 = pd.DataFrame(ebola['Date range'].str.split('-',1).to_list(),columns = ['start date','end date'])
  '''</p>
  <p>However, it returns the following:</p>
  <p><a href="https://i.stack.imgur.com/mcshF.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/mcshF.png" alt="enter image description here" /></a></p>
  <p>So (1) it doesn't recognize the '-', (2)how do I distinguish between 'Jun-Nov 1976' and 'Oct 2001-Mar 2002', (3) how to I include the new columns in the existing table?</p>
  <p>Thanks for the help!</p>