Advertisement
Guest User

Untitled

a guest
Mar 29th, 2017
62
0
Never
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
text 0.36 KB | None | 0 0
  1. df['PRODUCT'] = np.where(df['TYPE'] == '2b', 'Pencil',
  2. np.where(df['TYPE'] like 'I5%', 'Ruler', 0))
  3.  
  4. df['PRODUCT'] = np.where(df['TYPE'] == '2b', 'Pencil',
  5. np.where('I5' in df['TYPE'], 'Ruler', 0))
  6.  
  7. df['PRODUCT'] = np.where(df['TYPE'] == '2b', 'Pencil',
  8. np.where(df['TYPE'].str.contains('I5'), 'Ruler', 0))
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement