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  1. In [75]: df = pd.DataFrame([[1,1,0,0], [1,0,1,0]], columns=['a','b','c','d'])
  2.  
  3. In [76]: df                                                                                                                                                                            
  4. Out[76]:
  5.    a  b  c  d
  6. 0  1  1  0  0
  7. 1  1  0  1  0
  8.      
  9. a  b
  10. 0  1  1
  11.      
  12. a  c
  13. 1  1  1
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