numpy.triu # numpy.triu(m, k=0) [source] # Upper triangle of an array. Return a copy of an array with the elements below the k -th diagonal zeroed. For arrays with ndim exceeding 2, triu will apply to the final …

Description U = triu(A) returns the upper triangular portion of matrix A. example U = triu(A,k) returns the elements on and above the kth diagonal of A.

torch.triu(input, diagonal=0, *, out=None) → Tensor # Returns the upper triangular part of a matrix (2-D tensor) or batch of matrices input, the other elements of the result tensor out are set to 0.

22 Use the Array Creation Routines of numpy.triu and numpy.tril to return a copy of a matrix with the elements above or below the k-th diagonal zeroed.

You can use the numpy built-in numpy.triu () function to get the upper triangular matrix from a 2d Numpy array.

scipy.sparse. triu # triu(A, k=0, format=None) [source] # Return the upper triangular portion of a sparse array or matrix Returns the elements on or above the k-th diagonal of A. k = 0 corresponds to the …

Mar 21, 2023 · The triu () function is then used to extract the upper triangle of the matrix, with the default parameter of 0. The output is printed using the print () function.

Mar 1, 2024 · The simplest use of the numpy.triu method involves passing just the matrix from which you want to extract the upper triangle. By default, numpy.triu includes the main diagonal and all elements …

Aug 12, 2023 · Numpy's triu (~) method returns the upper triangle of a matrix as a new Numpy array.

To return the upper triangle of an array, use the numpy.triu () method in Python Numpy. The 1st parameter is the input array −