Parameters: n: int. similar function, for lower-triangular. These are the top rated real world Python examples of numpy.triu_indices_from extracted from open source projects. Please refer to … Parameters: n: int. numpy.triu_indices¶ numpy.triu_indices(n, k=0) [source] ¶ Return the indices for the upper-triangle of an (n, n) array. Diagonal offset (see tril for details). Please use ide.geeksforgeeks.org, Return the indices for the upper-triangle of an (n, m) array. See triu_indices for full details. You can rate examples to help us improve the quality of examples. Python | Numpy np.triu_indices. numpy.triu_indices, Return the indices for the lower-triangle of an (n, m) array. numpy.mask_indices() function return the indices to access (n, n) arrays, given a masking function. numpy.tril_indices_from¶ numpy.tril_indices_from (arr, k = 0) [source] ¶ Return the indices for the lower-triangle of arr. See triu_indices for full details. Diagonal offset (see triu for details). Parameters : n: int. Share. to slice a ndarray of shape(n, n). You may check out the related API usage on the sidebar. brightness_4 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. 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 [271]: triu_index(N=3, x=1, y=2) Out[271]: 4 NumPy Array Object Exercises, Practice and Solution: Write a NumPy program to extract upper triangular part of a NumPy matrix. Improve this answer. You may check out the related API usage on the sidebar. Thomas. 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 … 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 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.triu_indices_from numpy.triu_indices_from(arr, k=0) [source] Return the indices for the upper-triangle of arr. k : int, optional: Diagonal offset (see `triu` for details). The column dimension of the arrays for which the returned arrays will be valid. Diagonal offset (see triu for details). Thomas. np.nonzero seems slow compared to other methods. m: int, optional. New in version 1.9.0. These examples are extracted from open source projects. numpy.triu_indices. Return a copy of a matrix with the elements below the k -th diagonal zeroed. k: int, optional. Parameters: n: int. close, link Try numpy.triu (triangle-upper) and numpy.tril (triangle-lower). The size of the arrays for which the returned indices will be valid. 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_from(arr, k=0) [source] ¶ Return the indices for the upper-triangle of arr. See triu_indices for full det_来自Numpy 1.10,w3cschool。 The size of the arrays for which the returned indices will be valid. See triu_indices for full details. numpy.tril_indices() function return the indices for the lower-triangle of an (n, m) array. numpy.triu_indices ¶ numpy.triu_indices(n, k=0, m=None) [source] ¶ Return the indices for the upper-triangle of an (n, m) array. 50.9k 9 9 gold badges 127 127 silver badges 176 176 bronze badges. triu_indices: similar function, for upper-triangular. Parameters: n: int. 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). See also. These examples are extracted from open source projects. Parameters Can be used to slice a ndarray of shape(n, n). max_ind = np.argmax(H[ind]) See tril_indices for full details. numpy.tril_indices(n, k=0, m=None) [source] ¶ Return the indices for the lower-triangle of an (n, m) array. 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Tril for further … Return the indices will be valid to implement the.! Dtype=None, order=None ) [ source ] ¶ Return the indices will be valid similar function, for.... Shape ( n, m ) array input to an array np.triu_indices_from and np.tril_indices_from but.

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