Login Register

numpy.triu()

numpy.triu(m, k=0) [source]

Upper triangle of an array.

Return a copy of a matrix with the elements below the k-th diagonal zeroed.

Please refer to the documentation for tril for further details.

See also

tril: lower triangle of an array

Examples

>>> np.triu([[1,2,3],[4,5,6],[7,8,9],[10,11,12]], -1)
array([[ 1,  2,  3],
       [ 4,  5,  6],
       [ 0,  8,  9],
       [ 0,  0, 12]])

Links:

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

doc_NumPy

2025-01-10 15:47:30

Comments

Leave a Comment

Please login to continue.

Popular Articles

numpy.triu_indices() numpy.triu_indices(n, k=0, m=None) [source] Return the indices for the upper-triangle of an (n, m) array. Parameters: n : int The size of the a

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.isneginf() numpy.isneginf(x, y=None) [source] Test element-wise for negative infinity, return result as bool array. Parameters: x : array_like The input a

numpy.einsum() numpy.einsum(subscripts, *operands, out=None, dtype=None, order='K', casting='safe') Evaluates the Einstein summation convention on the operands.

numpy.kron() numpy.kron(a, b) [source] Kronecker product of two arrays. Computes the Kronecker product, a composite array made of blocks of the second array s