Login Register

numpy.tril_indices_from()

numpy.tril_indices_from(arr, k=0) [source]

Return the indices for the lower-triangle of arr.

See tril_indices for full details.

Parameters:

arr : array_like

The indices will be valid for square arrays whose dimensions are the same as arr.

k : int, optional

Diagonal offset (see tril for details).

See also

tril_indices, tril

Notes

New in version 1.4.0.

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.tril_indices_from.html

doc_NumPy

2017-01-10 18:19:04

Comments

Leave a Comment

Please login to continue.

Popular Articles

numpy.tril_indices() numpy.tril_indices(n, k=0, m=None) [source] Return the indices for the lower-triangle of an (n, m) array. Parameters: n : int The row dimension

numpy.tril() numpy.tril(m, k=0) [source] Lower triangle of an array. Return a copy of an array with elements above the k-th diagonal zeroed. Parameters: m :

numpy.diag_indices_from() numpy.diag_indices_from(arr) [source] Return the indices to access the main diagonal of an n-dimensional array. See diag_indices for full details

numpy.triu_indices_from() numpy.triu_indices_from(arr, k=0) [source] Return the indices for the upper-triangle of arr. See triu_indices for full details. Parameters: arr

numpy.indices() numpy.indices(dimensions, dtype=) [source] Return an array representing the indices of a grid. Compute an array where the subarrays contain index