Guest User

Untitled

a guest
Oct 23rd, 2018
83
0
Never
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
text 0.54 KB | None | 0 0
  1. id start_time feature
  2. 1 01-01-2018 3.567
  3. 1 01-02-2018 4.454
  4. 1 01-03-2018 6.455
  5. 2 01-02-2018 343.4
  6. 2 01-08-2018 45.4
  7. 3 02-04-2018 43.56
  8. 3 02-07-2018 34.56
  9. 3 03-07-2018 23.6
  10.  
  11. Dataframe1:
  12. id start_time feature
  13. 1 01-01-2018 3.567
  14. 1 01-02-2018 4.454
  15. 2 01-02-2018 343.4
  16. 3 02-04-2018 43.56
  17. 3 02-07-2018 34.56
  18.  
  19. Dataframe2:
  20. 1 01-03-2018 6.455
  21. 2 01-08-2018 45.4
  22. 3 03-07-2018 23.6
  23.  
  24. DataFrame df1 = DataFrame.take(dataframe.count()*(70/100));
  25.  
  26. DataFrame df2 = DataFrame.except(df1);
Add Comment
Please, Sign In to add comment