Parameters: arr: ndarray, shape(N, N) The indices will be valid for square arrays. Try numpy.triu (triangle-upper) and numpy.tril (triangle-lower). Return a copy of a matrix with the elements below the k-th diagonal zeroed.. triu_indices_from (arr[, k]) Return the indices for the upper-triangle of arr. Use np.indices and np.broadcast_to to speed it up. See triu_indices for full details. numpy.triu(m, k=0) [source] ¶ Upper triangle of an array. 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. The size of the arrays for which the returned indices will be valid. 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 triu_indices for full details. See triu_indices for full det_来自Numpy 1.10，w3cschool。 similar function, for lower-triangular. numpy.triu_indices_from¶ numpy.triu_indices_from(arr, k=0) [source] ¶ Return the indices for the upper-triangle of arr. 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। To get the correct indices I use triu_indices. To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. See also. Diagonal offset (see triu for details). Parameters: arr: ndarray, shape(N, N) The indices will be valid for square arrays. Return a copy of a matrix with the elements below the k-th diagonal zeroed.. Parameters-----arr : ndarray, shape(N, N) The indices will be valid for square arrays. numpy.triu_indices_from(arr, k=0) [source] ¶ Return the indices for the upper-triangle of arr. By default m is taken equal to n. The indices for the triangle. upper triangular part starting at the main diagonal, and one starting two Parameters: n: int. These examples are extracted from open source projects. The size of the arrays for which the returned indices will be valid. The indices for the triangle. Returns-----triu_indices_from : … numpy.triu_indices, Return the indices for the upper-triangle of an (n, m) array. Thomas. Diagonal offset (see triu for details). k : [int, optional] Diagonal offset. Parameters: arr: ndarray, shape(N, N) The indices will be valid for square arrays. New in version 1.9.0. The size of the arrays for which the returned indices will be valid. numpy.triu_indices¶ numpy.triu_indices(n, k=0) [source] ¶ Return the indices for the upper-triangle of an (n, n) array. Parameters: arr: ndarray, shape(N, N) The indices will be valid for square arrays. 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. numpy.triu_indices(n, k=0, m=None) [source] ¶ Return the indices for the upper-triangle of an (n, m) array. Please use ide.geeksforgeeks.org,
k: int, optional. 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. Strengthen your foundations with the Python Programming Foundation Course and learn the basics. Parameters: n: int. numpy.tril_indices() function return the indices for the lower-triangle of an (n, m) array. 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. … Diagonal offset (see triu for details). Returns : inds: tuple of arrays. Python triu_indices_from - 30 examples found. Since is a symmetric matrix I just took the the upper triangle of the matrix. 2 Likes. NumPy Array Object Exercises, Practice and Solution: Write a NumPy program to extract upper triangular part of a NumPy matrix. 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 … Please refer to … See tril_indices for full details. numpy.triu_indices_from (arr, k=0) [source] ¶ Return the indices for the upper-triangle of arr. Diagonal offset (see triu for details). See triu_indices for full det_来自Numpy 1.10，w3cschool。 be valid. numpy.triu_indices_from¶ numpy.triu_indices_from(arr, k=0) [source] ¶ Return the indices for the upper-triangle of a (N, N) array. ind = np.triu_indices(M_size, 1) And then the index of the max value. My function works but I would like to know if there is a cleaner way to implement the indexing. The size 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). Share. Diagonal offset (see triu for details). w3resource. See triu_indices for full details. Examples. Diagonal offset (see triu for details). true_divide (x1, x2) Returns a true division of the inputs, element-wise. numpy.triu_indices¶ numpy.triu_indices(n, k=0) [source] ¶ Return the indices for the upper-triangle of an (n, n) array. These examples are extracted from open source projects. The following are 30 code examples for showing how to use numpy.triu_indices(). k : int, optional: Diagonal offset (see `triu` for details). 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. So mat doesn’t require_grad when it is instantiated, but only indirectly when you assign elements requiring grad to it. Last updated on Jan 19, 2021. mask_func : [callable] A function whose call signature is similar to that of triu, tril. Diagonal offset (see triu for details). New in version 1.9.0. black0017 … The size of the arrays for which the returned indices will be valid. They now run roughly 2x faster. 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 Compute two different sets of indices to access 4x4 arrays, one for the And I need to find the indices (row and column) of the greatest value without considering the diagonal. np.nonzero seems slow compared to other methods. 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. Closes #18153. k: int, optional. k: int, optional. Diagonal offset (see tril for details). 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 … Python triu_indices_from - 30 examples found. e.g […] The following are 30 code examples for showing how to use numpy.triu_indices(). Diagonal offset (see triu for details). That works. Return the indices for the upper-triangle of an (n, m) array. 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). brightness_4 Diagonal offset (see triu for details). Compute two different sets of indices to access 4x4 arrays, one for the upper triangular part starting at the main diagonal, and one starting two diagonals further right numpy.triu_indices_from¶ numpy.triu_indices_from(arr, k=0) [source] ¶ Return the indices for the upper-triangle of a (N, N) array. The returned tuple contains two arrays, Return : Return the indices for the upper triangle. def triu_indices_from (arr, k = 0): """ Return the indices for the upper-triangle of arr. numpy.triu_indices_from(arr, k=0) [source] ¶ Return the indices for the upper-triangle of arr. m: int, optional. code, (array([], dtype = int64), array([], dtype = int64)). The size of the arrays for which the returned indices will be valid. See triu_indices for full details. Return a copy of a matrix with the elements below the k -th diagonal zeroed. triu_indices(3, 1)

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