flopscope.numpy.diag_indices

Return the indices to access the main diagonal of an n-dimensional array.

Adapted from NumPy docs np.diag_indices_from

Areacore

Typefree

Cost

Flopscope Context

Return indices to access main diagonal of given array.

See diag_indices for full details.

Parameters

>>> import flopscope.numpy as fnp

Create a 4 by 4 array.

>>> a = flops.arange(16).reshape(4, 4)
>>> a
array([[ 0,  1,  2,  3],
       [ 4,  5,  6,  7],
       [ 8,  9, 10, 11],
       [12, 13, 14, 15]])

Get the indices of the diagonal elements.

>>> di = flops.diag_indices_from(a)
>>> di
(array([0, 1, 2, 3]), array([0, 1, 2, 3]))

>>> a[di]
array([ 0,  5, 10, 15])

This is simply syntactic sugar for diag_indices.

>>> flops.diag_indices(a.shape[0])
(array([0, 1, 2, 3]), array([0, 1, 2, 3]))