# numpy tril indices

numpy.tril_indices, numpy.tril_indices¶. numpy.mask_indices¶ numpy.mask_indices (n, mask_func, k=0) [source] ¶ Return the indices to access (n, n) arrays, given a masking function. C-Types Foreign Function Interface (numpy.ctypeslib), Optionally SciPy-accelerated routines (numpy.dual), Mathematical functions with automatic domain (numpy.emath). jax.numpy package¶ Implements the NumPy API, using the primitives in jax.lax. The row dimension of the arrays for which the returned numpy.triu_indices ¶ numpy.triu_indices(n, k=0, m=None) [source] ¶ Return the indices for the upper-triangle of an (n, m) array. Notes. The numpy.diag_indices() function returns indices in order to access the elements of main diagonal of a array with minimum dimension = 2.Returns indices in the form of tuple. numpy.mask_indices() function return the indices to access (n, n) arrays, given a masking function. The row dimension of the arrays for which the returned indices will be valid. Return a copy of a matrix with the elements below the k-th diagonal zeroed.. New in version 1.9.0. numpy.triu_indices¶ numpy.triu_indices (n, k=0, m=None) [source] ¶ Return the indices for the upper-triangle of an (n, m) array. mask_indices. numpy.diag_indices numpy.diag_indices(n, ndim=2) [source] Return the indices to access the main diagonal of an array. random. Please refer to the documentation for tril for further details. lower triangular part starting at the main diagonal, and one starting two tril (m[, k]) Lower triangle of an array. These examples are extracted from open source projects. Parameters-----arr : array_like: The indices will be valid for square arrays whose dimensions are: the same as arr. The size of similar function, for lower-triangular. Return a copy of an array with elements above the k-th diagonal zeroed. numpy.tril_indices¶ numpy.tril_indices(n, k=0) [source] ¶ Return the indices for the lower-triangle of an (n, n) array. These examples are extracted from open source projects. Parameters: n: int. trim_zeros (filt[, trim]) Trim the leading and/or trailing zeros from a 1-D array or sequence. New in version 1.4.0. m: int, optional. tril_indices (*args, **kwargs) Return the indices for the lower-triangle of an (n, m) array. Use np.indices and np.broadcast_to to speed it up. Numpy copy upper triangle to lower. numpy.tril_indices_from(arr, k=0)[source] Return the indices for the lower-triangle of arr. Syntax : numpy.tril_indices(n, k = 0, m = None) Parameters : n : [int] The row dimension of the arrays for which the returned indices will be valid. Assume mask_func is a function that, for a square array a of size (n, n) with a possible offset argument k, when called as mask_func(a, k) returns a new array with zeros in certain locations (functions like triu or tril do precisely this). 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. k int, optional. mask_indices generic function accepting an arbitrary mask function. The row dimension of the square arrays for which the returned indices will be valid. 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). mask_func : [callable] A function whose call signature is similar to that of triu, tril. This problem can be solved efficiently using the numpy_indexed library (disclaimer: I am its author); which was created to address problems of this type. For a.ndim = 2 this is the usual diagonal, for a.ndim > 2 this is the set of indices to access a[i, i, ..., i] for i = [0..n-1]. Parameters m array_like, shape (M, N) Input array. diagonals further right: Here is how they can be used with a sample array: These cover almost the whole array (two diagonals right of the main one): © Copyright 2008-2020, The SciPy community. nint. Return the indices for the lower-triangle of an (n, m) array. m: int, optional. Bug The return type of numpy.tril_indices is a tuple of arrays while torch.tril_indices returns a single tensor. add a comment | 1. numpy.tril_indices_from(arr, k=0) [source] Return the indices for the lower-triangle of arr. New in version 1.4.0. k : int, optional: Diagonal offset (see `tril` for details). np.nonzero seems slow compared to other methods. Syntax : numpy.tril_indices (n, k = 0, m = None) numpy.triu_indices ¶ numpy.triu_indices(n, k=0, m=None) [source] ¶ Return the indices for the upper-triangle of an (n, m) array. See tril_indices for full details. Follow answered Jan 18 '12 at 5:15. mathematical.coffee mathematical.coffee. Additionally, there are the functions np.triu_indices, np.tril_indices, np.triu_indices_from, and np.tril_indices_from to generate indices to index the upper or lower triangle with. This returns a tuple of indices that can be used to access the main diagonal of an array a with a.ndim >= 2 dimensions and shape (n, n, ..., n). Parameters. Parameters. MEE MEE. Python numpy.tril_indices_from() Examples The following are 14 code examples for showing how to use numpy.tril_indices_from(). Vous pourriez faire quelque chose comme: import numpy as np N = 100 b = np. numpy.tril_indices_from ¶ numpy.tril_indices_from(arr, k=0) [source] ¶ Return the indices for the lower-triangle of arr. k: int, optional. numpy.triu_indices_from numpy.triu_indices_from(arr, k=0) [source] Return the indices for the upper-triangle of arr. 36. Assume mask_func is a function that, for a square array a of size (n, n) with a possible offset argument k, when called as mask_func(a, k) returns a new array with zeros in certain locations (functions like triu or tril do precisely this). Random sampling (numpy.random) index; next; previous; numpy.random.choice ¶ numpy.random.choice (a, size=None, replace=True, p=None) ¶ Generates a random sample from a given 1-D array. 6. Syntax : numpy.mask_indices(n, mask_func, k = 0) Parameters : n : [int] The returned indices will be valid to access arrays of shape (n, n). Notes. m : [int, optional] The column dimension of the arrays for which the returned arrays will be valid. Bug The return type of numpy.tril_indices is a tuple of arrays while torch.tril_indices returns a single tensor. The following are 30 code examples for showing how to use numpy.triu_indices_from().These examples are extracted from open source projects. numpy.tril_indices_from(arr, k=0) [source] Renvoie les indices pour le triangle inférieur d'arr. k: int, optional. Follow answered Dec 17 '18 at 20:04. The column dimension of the arrays for which the returned arrays will be valid. array([[0., 2., 3. New in version 1.9.0. numpy.triu_indices, Return the indices for the upper-triangle of an (n, m) array. Diagonal offset (see tril for details). numpy.mask_indices¶ numpy.mask_indices(n, mask_func, k=0) [source] ¶ Return the indices to access (n, n) arrays, given a masking function. Try numpy.triu (triangle-upper) and numpy.tril (triangle-lower). Notes. latest Tutorials. numpy.tril_indices (n, k=0, m=None) [source] ¶ Return the indices for the lower-triangle of an (n, m) array. mask_func : [callable] A function whose call signature is similar to that of triu, tril. Improve this answer. numpy.amax() Python’s numpy module provides a function to get the maximum value from a Numpy array i.e. numpy.triu_indices_from numpy.triu_indices_from(arr, k=0) [source] Return the indices for the upper-triangle of arr. each with the indices along one dimension of the array. numpy.tril_indices(n, k=0)[source]¶ Return the indices for the lower-triangle of an (n, n) array. See also. Compute two different sets of indices to access 4x4 arrays, one for the N ) array ( triangle-upper ) and numpy.tril ( m, k=0 ) [ source ] ¶ Lower of. X 3, diagonale comprise numpy.tril_indices_from¶ numpy.tril_indices_from ( arr, k=0 ) [ source ] Upper! Examples are extracted numpy tril indices open source projects details ) Mathematical functions with automatic domain ( numpy.emath ) and/or trailing from! Pour le triangle inférieur d'arr dimensions numpy tril indices identiques à celles de arr ) array the documentation for for... 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