Suppose you have a matrix M whose (i,j)-th element equals
M_ij = 2*i + 3*j
One way to define this matrix would be
i, j = np.indices((2,3))
M = 2*i + 3*j
which yields
array([[0, 3, 6],
[2, 5, 8]])
In other words, np.indices
returns arrays which can be used as indices. The elements in i
indicate the row index:
In [12]: i
Out[12]:
array([[0, 0, 0],
[1, 1, 1]])
The elements in j
indicate the column index:
In [13]: j
Out[13]:
array([[0, 1, 2],
[0, 1, 2]])