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Parameters. 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). These are the top rated real world Python examples of numpy.triu_indices_from extracted from open source projects. The size of the arrays for which the returned indices will be valid. Returns-----triu_indices_from : tuple, shape(2) of ndarray, shape(N) The size of the arrays for which the returned indices will be valid. I found the following works, but I would like to know, if there is a … See triu_indices for full det_来自Numpy 1.13，w3cschool。 The size of the arrays for which the returned indices will be valid. These examples are extracted from open source projects. mask_indices generic function accepting an arbitrary mask function. The returned tuple contains two arrays, k: int, optional. max_ind = np.argmax(H[ind]) numpy.triu_indices¶ numpy.triu_indices(n, k=0) [source] ¶ Return the indices for the upper-triangle of an (n, n) array. Python triu_indices_from - 30 examples found. 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. Diagonal offset (see triu for details). brightness_4 Returns : inds: tuple of arrays. Diagonal offset (see triu for details). Parameters: n: int. 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. def triu_indices_from (arr, k = 0): """ Return the indices for the upper-triangle of arr. similar function, for lower-triangular. Python numpy.triu_indices_from () Examples The following are 30 code examples for showing how to use numpy.triu_indices_from (). numpy.tril_indices_from(arr, k=0) [source] ¶ Return the indices for the lower-triangle of arr. k: int, optional. Best regards . 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). numpy.triu_indices_from(arr, k=0) [source] ¶ Return the indices for the upper-triangle of arr. Returns-----triu_indices_from : … Diagonal offset (see triu for details). numpy.triu_indices_from numpy.triu_indices_from(arr, k=0) [source] Return the indices for the upper-triangle of arr. See triu_indices for full details. np.nonzero seems slow compared to other methods. Diagonal offset (see triu for details). m: int, optional. Parameters: n: int. Parameters Can be used to slice a ndarray of shape(n, n). See also. close, link Returns : inds: tuple, shape(2) of ndarrays, shape(n) The indices for the triangle. 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_from(arr, k=0) [source] ¶ Return the indices for the upper-triangle of arr. 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. similar function, for lower-triangular. k : int, optional: Diagonal offset (see `triu` for details). 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. Share. These examples are extracted from open source projects. numpy.triu_indices¶ numpy.triu_indices(n, k=0) ¶ Return the indices for the upper-triangle of an (n, n) array. Use np.indices and np.broadcast_to to speed it up. Please refer to … acknowledge that you have read and understood our, GATE CS Original Papers and Official Keys, ISRO CS Original Papers and Official Keys, ISRO CS Syllabus for Scientist/Engineer Exam, Adding new column to existing DataFrame in Pandas, Python program to convert a list to string, How to get column names in Pandas dataframe, Reading and Writing to text files in Python, isupper(), islower(), lower(), upper() in Python and their applications, Python | Program to convert String to a List, Taking multiple inputs from user in Python, Different ways to create Pandas Dataframe, Python | Split string into list of characters, Python | Get key from value in Dictionary, Python - Ways to remove duplicates from list, Write Interview