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Jun 18th, 2019
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  1. temp = pd.DataFrame({'label_0':[1,1,1,2,2,2],'label_1':['a','b','c',np.nan,'c','b'], 'values':[0,2,4,np.nan,8,5]})
  2.  
  3. print(temp)
  4. label_0 label_1 values
  5. 0 1 a 0.0
  6. 1 1 b 2.0
  7. 2 1 c 4.0
  8. 3 2 NaN NaN
  9. 4 2 c 8.0
  10. 5 2 b 5.0
  11.  
  12. label_1 1 2
  13. 0 a 0.0 NaN
  14. 1 b 2.0 5.0
  15. 2 c 4.0 8.0
  16. 3 NaN NaN NaN
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