xorbits.numpy.diag_indices_from#

xorbits.numpy.diag_indices_from(arr)#

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

See diag_indices for full details.

Parameters

arr (array, at least 2-D) –

See also

diag_indices

Notes

New in version 1.4.0(numpy).

Examples

Create a 4 by 4 array.

>>> a = np.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 = np.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.

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

Warning

This method has not been implemented yet. Xorbits will try to execute it with numpy.

This docstring was copied from numpy.