Since is a symmetric matrix I just took the the upper triangle of the matrix. Background. Parameters Can be used to slice a ndarray of shape(n, n). 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). Diagonal offset (see triu for details). m : [int, optional] The column dimension of the arrays for which the returned arrays will be valid. The following are 30 code examples for showing how to use numpy.triu_indices(). The size 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.. Parameters: n: int. 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). You may also … numpy.triu_indices ¶ numpy.triu_indices(n, k=0, m=None) [source] ¶ Return the indices for the upper-triangle of an (n, m) array. In order to avoid a messy nest of for loops, I am using the numpy.triu_indices function. I found the following works, but I would like to know, if there is a … numpy.triu_indices¶ numpy.triu_indices(n, k=0) [source] ¶ Return the indices for the upper-triangle of an (n, n) array. In this example we can see that by using np.triu_indices() method, we are able to get the indices for the upper triangle of an [n, m] array by using this method. numpy.triu_indices, Return the indices for the upper-triangle of an (n, m) array. k: int, optional. Diagonal offset (see triu for details). 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. New in version 1.9.0. 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. Constructing upper indices would be costly. 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. The size of the arrays for which the returned indices will be valid. Diagonal offset (see triu for details). numpy.tril_indices() function return the indices for the lower-triangle of an (n, m) array. The column dimension of the arrays for which the returned arrays will be valid. The size of the arrays for which the returned indices will be valid. See `triu_indices` for full details. So mat doesn’t require_grad when it is instantiated, but only indirectly when you assign elements requiring grad to it. These examples are extracted from open source projects. arrays will be valid. These examples are extracted from open source projects. 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. You may check out the related API usage on the sidebar. Parameters. That works. numpy.triu_indices(n, k=0, m=None) [source] Return the indices for the upper-triangle of an (n, m) array. def triu_indices_from (arr, k = 0): """ Return the indices for the upper-triangle of arr. See triu_indices for full details. Parameters: n: int. These examples are extracted from open source projects. black0017 … … numpy.triu_indices, Return the indices for the upper-triangle of an (n, m) array. k: int, optional. LAX-backend implementation of asarray().Original docstring below. C-Types Foreign Function Interface (numpy.ctypeslib), Optionally SciPy-accelerated routines (numpy.dual), Mathematical functions with automatic domain (numpy.emath). Return a copy of a matrix with the elements below the k -th diagonal zeroed. mask_indices generic function accepting an arbitrary mask function. numpy.triu_indices¶ numpy.triu_indices(n, k=0) [source] ¶ Return the indices for the upper-triangle of an (n, n) array. numpy.triu_indices¶ numpy.triu_indices(n, k=0) ¶ Return the indices for the upper-triangle of an (n, n) array. The column dimension of the arrays for which the returned arrays will be valid. true_divide (x1, x2) Returns a true division of the inputs, element-wise. k: int, optional. Parameters: n: int. triu_indices_from (arr[, k]) Return the indices for the upper-triangle of arr. Diagonal offset (see triu for details). Python numpy.triu_indices_from () Examples The following are 30 code examples for showing how to use numpy.triu_indices_from (). Python | Numpy np.triu_indices. numpy.triu_indices_from numpy.triu_indices_from(arr, k=0) [source] Return the indices for the upper-triangle of arr. Parameters: arr: ndarray, shape(N, N) The indices will be valid for square arrays. Compute two different sets of indices to access 4x4 arrays, one for the Is there a numpy method to do this? Parameters: arr: ndarray, shape(N, N) The indices will be valid for square arrays. numpy.tril_indices ¶ numpy.tril_indices ... triu_indices similar function, for upper-triangular. k: int, optional. By default m is taken equal to n. The indices for the triangle. See triu_indices for full details. 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. 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The size of the arrays for which the returned indices will be valid. numpy.triu_indices, Return the indices for the upper-triangle of an (n, m) array. of the main one): © Copyright 2008-2020, The SciPy community. k: int, optional. ind = np.triu_indices(M_size, 1) And then the index of the max value. I've been working for some time on attempting to solve the (notoriously painful) Time Difference of Arrival (TDoA) multi-lateration problem, in 3-dimensions and using 4 nodes. Syntax : np.triu_indices(n, m) Return : Return the indices for the upper triangle. The following are 14 code examples for showing how to use numpy.tril_indices_from(). numpy.mask_indices() function return the indices to access (n, n) arrays, given a masking function. NumPy Array Object Exercises, Practice and Solution: Write a NumPy program to extract upper triangular part of a NumPy matrix. 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.triu_indices_from(arr, k=0) [source] ¶ Return the indices for the upper-triangle of arr. to slice a ndarray of shape(n, n). See tril_indices for full details. m: int, optional. Parameters : n: int. Returns: triu_indices_from: tuple, shape(2) of ndarray, shape(N) Indices for the upper-triangle of arr. You can rate examples to help us improve the quality of examples. Python triu_indices_from - 30 examples found. Example #1 : In this example we can see that by using np.triu_indices() method, we … k : [scalar] An optional argument which is … k: int, optional. 36. Diagonal offset (see triu for details). Syntax : np.triu_indices(n, m) Return : Return the indices for the upper triangle. e.g […] Feature Looking for a new function like torch.triu_values / torch.tril_values to gatter the value of the upper/lower triangular matrix into 1D shape more convenient. Best regards . The size of the arrays for which the returned indices will 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. We can directly get the corresponding index like so - def triu_index(N, x, y): # Get index corresponding to (x,y) in upper triangular list idx = np.r_[0,np.arange(N,1,-1).cumsum()] return idx[x]+y-x Sample run - In : triu_index(N=3, x=1, y=2) Out: 4 upper triangular part starting at the main diagonal, and one starting two 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. See triu_indices for full details. Diagonal offset (see triu for details). triu_indices (*args, **kwargs) Return the indices for the upper-triangle of an (n, m) array. numpy.mask_indices() function return the indices to access (n, n) arrays, given a masking function. The size of the arrays for which the returned indices will be valid. Follow answered Jan 18 '12 at 5:15. mathematical.coffee mathematical.coffee. k: int, optional. Parameters. Parameters: n: int. See `triu_indices` for full details. numpy.triu_indices_from numpy.triu_indices_from(arr, k=0) गिरफ्तारी के ऊपरी-त्रिकोण के लिए सूचकांक लौटाएं। पूर्ण विवरण के लिए triu_indices देखें। numpy.triu_indices_from(arr, k=0) [source] ¶ Return the indices for the upper-triangle of arr. brightness_4 Notes. Python | Numpy np.triu_indices. 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 numpy.tril_indices_from¶ numpy.tril_indices_from (arr, k = 0) [source] ¶ Return the indices for the lower-triangle of arr. The indices will be valid for square arrays whose dimensions are the same as arr. Return the indices for the upper-triangle of an (n, m) array. numpy.triu_indices_from (arr, k=0) [source] ¶ Return the indices for the upper-triangle of arr. Returns-----triu_indices_from : tuple, shape(2) of ndarray, shape(N) The size of the arrays for which the returned indices will be valid. k: int, optional. Parameters : n: int. Parameters: arr: ndarray, shape(N, N) The indices will be valid for square arrays. The size of the arrays for which the returned indices will be valid. They now run roughly 2x faster. edit 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). home Front End HTML CSS JavaScript HTML5 Schema.org php.js Twitter Bootstrap Responsive Web Design tutorial Zurb Foundation 3 tutorials Pure CSS HTML5 Canvas JavaScript Course Icon Angular React Vue Jest Mocha NPM Yarn Back End PHP … numpy.triu_indices¶ numpy.triu_indices(n, k=0) [source] ¶ Return the indices for the upper-triangle of an (n, n) array. numpy.triu_indices_from numpy.triu_indices_from(arr, k=0) [source] Return the indices for the upper-triangle of arr. New in version 1.9.0. 50.9k 9 9 gold badges 127 127 silver badges 176 176 bronze badges. See triu_indices for full det_来自Numpy 1.10，w3cschool。 home Front End HTML CSS JavaScript HTML5 Schema.org php.js Twitter Bootstrap Responsive Web Design tutorial Zurb Foundation 3 tutorials Pure CSS HTML5 Canvas JavaScript Course Icon Angular React Vue … The size of the arrays for which the returned indices will be valid. n = 5 mat = torch.zeros(5, 5) vector = torch.randn(10, requires_grad=True) mat[numpy.triu_indices(n, 1)] = vector mat.sum().backward() vector.grad gives the expected vector of 10 ones. k int, optional. See triu_indices for full details. triu (m[, k]) Upper triangle of an array. Return a copy of a matrix with the elements below the k-th diagonal zeroed.. max_ind = np.argmax(H[ind]) Diagonal offset (see triu for details). numpy.triu_indices(n, k=0, m=None) [source] Return the indices for the upper-triangle of an (n, m) array. nint. numpy.triu_indices¶ numpy.triu_indices (n, k=0, m=None) [source] ¶ Return the indices for the upper-triangle of an (n, m) array. Improve this answer. a (array_like) – Input data, in any form that can be converted to an array.This includes lists, lists of tuples, tuples, tuples of tuples, tuples of lists and ndarrays. each with the indices along one dimension of the array. Performance comparison: import numpy as np def tril_indices(n, k=0, m=None): tri = np.tri(n, m, k=k, dtype=bool) return tuple(np.broadcast_to(inds, tri.shape)[tri] for inds in np.indices(tri.shape, sparse=True)) def triu_indices(n, k=0, m=None): tri = ~np.tri(n, m, … The size of the arrays for which the returned indices will be valid. Examples. np.nonzero seems slow compared to other methods. numpy.tril_indices(n, k=0, m=None) [source] ¶ Return the indices for the lower-triangle of an (n, m) array. Parameters : n: int. k: int, optional. numpy.triu(m, k=0) [source] ¶ Upper triangle of an array. Use np.indices and np.broadcast_to to speed it up. nint. k : [int, optional] Diagonal offset. The indices for the triangle. Python | Numpy numpy.ndarray.__truediv__(), Python | Numpy numpy.ndarray.__floordiv__(), Python | Numpy numpy.ndarray.__invert__(), Python | Numpy numpy.ndarray.__divmod__(), Python | Numpy numpy.ndarray.__rshift__(), Python | Numpy numpy.ndarray.__lshift__(), Data Structures and Algorithms – Self Paced Course, Ad-Free Experience – GeeksforGeeks Premium, We use cookies to ensure you have the best browsing experience on our website. Python triu_indices_from - 30 examples found. w3resource. My function works but I would like to know if there is a cleaner way to implement the indexing. numpy.triu¶ numpy.triu (m, k=0) [source] ¶ Upper triangle of an array. Diagonal offset (see triu for details). You may check out the related API usage on the sidebar. Diagonal offset (see triu for details). n = 5 mat = torch.zeros(5, 5) vector = torch.randn(10, requires_grad=True) mat[numpy.triu_indices(n, 1)] = vector mat.sum().backward() vector.grad gives the expected vector of 10 ones. 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