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  1. x  c
  2. 0  0  1
  3. 1  3  2
  4. 2  1  1
  5. 3  2  1
  6. 4  3  1
  7. 5  4  1
  8. 6  1  0
  9. 7  3  1
  10. 8  2  1
  11. 9  1  2
  12.    
  13. c  x duplicated
  14. 0  1  0      False
  15. 1  2  3      False
  16. 2  1  1      False
  17. 3  1  2       True
  18. 4  1  3       True
  19. 5  1  4      False
  20. 6  0  1      False
  21. 7  1  3       True
  22. 8  1  2       True
  23. 9  2  1      False
  24.    
  25. c = np.random.randint(0, 3, 10)
  26. x = np.random.randint(0, 5, 10)
  27. d = pd.DataFrame({'x': x, 'c': c})
  28. d['duplicated'] = d.groupby('c').apply(
  29.     lambda x: x.duplicated(keep=False)
  30. ).reset_index(level=0, drop=True)
  31.    
  32. d['duplicated'] = d.duplicated(keep=False)
  33. print (d)
  34.    x  c  duplicated
  35. 0  0  1       False
  36. 1  3  2       False
  37. 2  1  1       False
  38. 3  2  1        True
  39. 4  3  1        True
  40. 5  4  1       False
  41. 6  1  0       False
  42. 7  3  1        True
  43. 8  2  1        True
  44. 9  1  2       False
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