Guest User

Untitled

a guest
Nov 17th, 2017
77
0
Never
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
text 0.28 KB | None | 0 0
  1. from sklearn.preprocessing import binarize
  2. import pandas as pd
  3.  
  4. df = pd.read_csv('data.csv')
  5. b = binarize(df, threshold=1)
  6.  
  7. print(df)
  8. print(b)
  9.  
  10. df
  11. data
  12. 0 1
  13. 1 2
  14. 2 1
  15. 3 2
  16. 4 1
  17. 5 2
  18.  
  19. array([[0],
  20. [1],
  21. [0],
  22. [1],
  23. [0],
  24. [1]])
Add Comment
Please, Sign In to add comment