I am trying to make a diagonal numpy array from:
[1,2,3,4,5,6,7,8,9]
Expected result:
[[ 0, 0, 1, 0, 0],
[ 0, 0, 0, 2, 0],
[ 0, 0, 0, 0, 3],
[ 4, 0, 0, 0, 0],
[ 0, 5, 0, 0, 0],
[ 0, 0, 6, 0, 0],
[ 0, 0, 0, 7, 0],
[ 0, 0, 0, 0, 8],
[ 9, 0, 0, 0, 0]]
What would be an efficient way of doing this?
You can use integer array indexing to set the specified elements of the output:
>>> import numpy as np
>>> a = [1,2,3,4,5,6,7,8,9]
>>> arr = np.zeros((9, 5), dtype=int) # create empty array
>>> arr[np.arange(9), np.arange(2,11) % 5] = a # insert a
>>> arr
array([[0, 0, 1, 0, 0],
[0, 0, 0, 2, 0],
[0, 0, 0, 0, 3],
[4, 0, 0, 0, 0],
[0, 5, 0, 0, 0],
[0, 0, 6, 0, 0],
[0, 0, 0, 7, 0],
[0, 0, 0, 0, 8],
[9, 0, 0, 0, 0]])