Reputation: 29
arr= [1,2,3,4]
k = 4 (can be different)
so result will be 2 d array. How to do this without using any loop? and can't hard code k. k and arr can vary as per input. Must use numpy.pad
[[1,2,3,4,0,0,0], #k-1 zeros
[0,1,2,3,4,0,0],
[0,0,1,2,3,4,0],
[0,0,0,1,2,3,4]]
Upvotes: 0
Views: 103
Reputation: 5036
If you really have to do it without a loop (for educational purposes)
np.pad(np.tile(arr,[k,1]), [(0,0),(0,k)]).reshape(-1)[:-k].reshape(k,-1)
Upvotes: 2
Reputation: 476
Using list comprehension as a one liner :
import numpy as np
arr= np.array([1,2,3,4])
k = 4
print( np.array( [ np.pad(arr, (0+i , k-1-i ) ) for i in range(0,k)] ) )
Out :
[[1 2 3 4 0 0 0]
[0 1 2 3 4 0 0]
[0 0 1 2 3 4 0]
[0 0 0 1 2 3 4]]
Upvotes: 1