np.nonzero seems slow compared to other methods. See triu_indices for full details. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. Strengthen your foundations with the Python Programming Foundation Course and learn the basics. 2 Likes. numpy.triu_indices ¶ numpy.triu_indices(n, k=0, m=None) [source] ¶ Return the indices for the upper-triangle of an (n, m) array. The size of the arrays for which the returned indices will be valid. See `triu_indices` for full details. k: int, optional. triu_indices: similar function, for upper-triangular. numpy.triu_indices_from numpy.triu_indices_from(arr, k=0) [source] Return the indices for the upper-triangle of arr. Return a copy of a matrix with the elements below the k-th diagonal zeroed.. generate link and share the link here. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. Writing code in comment? numpy.triu_indices(n, k=0, m=None) [source] Return the indices for the upper-triangle of an (n, m) array. … k : [int, optional] Diagonal offset. numpy.triu_indices_from(arr, k=0) [source] ¶ Return the indices for the upper-triangle of arr. The indices for the triangle. def triu_indices_from (arr, k = 0): """ Return the indices for the upper-triangle of arr. Parameters Can be used to slice a ndarray of shape(n, n). Closes #18153. Last Updated : 30 Jan, 2020; With the help of np.triu_indices() method, we can get the indices for the upper triangle of an [n, m] array by using np.triu_indices() method. … numpy.mask_indices() function return the indices to access (n, n) arrays, given a masking function. m: int, optional. Return : Return the indices for the upper triangle. Diagonal offset (see triu for details). jax.numpy.asarray¶ jax.numpy.asarray (a, dtype=None, order=None) [source] ¶ Convert the input to an array. numpy.triu¶ numpy.triu (m, k=0) [source] ¶ Upper triangle of an array. Question or problem about Python programming: I have a matrix A and I want 2 matrices U and L such that U contains the upper triangular elements of A (all elements above and not including diagonal) and similarly for L(all elements below and not including diagonal). Last Updated : 30 Jan, 2020; With the help of np.triu_indices() method, we can get the indices for the upper triangle of an [n, m] array by using np.triu_indices() method. 2 Likes. m: int, optional. k: int, optional. diagonals further right: Here is how they can be used with a sample array: These cover only a small part of the whole array (two diagonals right Removed the constraint for the array to be square in calls to np.triu_indices, np.tril_indices, np.triu_indices_from and np.tril_indices_from. Returns : inds: tuple, shape(2) of ndarrays, shape(n) The indices for the triangle. Parameters: arr: ndarray, shape(N, N) The indices will be valid for square arrays. Syntax : np.triu_indices(n, m) Return : Return the indices for the upper triangle. triu_indices(3, 1)

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