title: Split column on positive/negative values?
body: <p>So I came across this another little annoying problem, as another obstacle in my first steps of learning python.</p>
  
  <p>I have outcome column which has positive/negative/zero values (winnings, loss, no commitment). I would like to split into winnings/loss based on sign, also zeroes would populate zeroes, and negative rows in the new winnings column; zeroes would populate zeroes and positive rows in the new loss columns. </p>
  
  <p>DATA.</p>
  
  <pre><code>g=pd.DataFrame({'OUTCOME':[100,-100,400,-200,-200,-750,-250,1000,0,100,-100]},index=[1,1,2,2,2,3,3,3,4,4,4])
  </code></pre>
  
  <p>DESIRED OUTPUT.</p>
  
  <pre><code>g['WINNINGS']=[100,0,400,0,0,0,0,1000,0,100,0]
  g['LOSS']=[0,100,0,200,200,750,250,0,0,0,100]
  </code></pre>