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By: a guest on Feb 9th, 2013  |  syntax: Python  |  size: 0.23 KB  |  hits: 27  |  expires: Never
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  1. df = pd.DataFrame(np.random.randint(0,2,100), columns=['TossResults']) # random win(0) / lose (1)
  2. df['Steps'] = (df['TossResults'].cumsum()*df['TossResults']).diff()
  3. df['Edges'] = df['Steps']<0
  4. df['Edges_Shift'] = df['Steps'].shift(1)
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