Guest User

Untitled

a guest
Mar 20th, 2018
87
0
Never
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
text 0.41 KB | None | 0 0
  1. C = numpy.rot90(A,2)
  2. C = flipud(A)
  3. C = A[::-1]
  4.  
  5. A= np.array([[[ 1.01551435, -0.76494131],
  6. [ 0.56853752 , 1.94491724]],
  7. [[-0.97433012 , 2.08134198],
  8. [-1.34997602 ,-0.33543117]],
  9. [[ 0.54217072, -1.33470658],
  10. [-0.50179028, -0.66593918]]])
  11.  
  12. [[ 0.54217072 -1.33470658]
  13. [-0.50179028 -0.66593918]]
  14. [[-0.7703279 0.02402204]
  15. [-0.18006451 -0.37589744]]
  16. [[ 1.01551435 -0.76494131]
  17. [ 0.56853752 1.94491724]]
Add Comment
Please, Sign In to add comment