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numpy triu indices

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. You may check out the related API usage on the sidebar. numpy.triu_indices_from¶ numpy.triu_indices_from(arr, k=0) [source] ¶ Return the indices for the upper-triangle of a (N, N) array. Parameters: n: int. triu_indices: similar function, for upper-triangular. triu_indices(3, 1) Now I want to repeat this n times and add the index to it. Parameters-----arr : ndarray, shape(N, N) The indices will be valid for square arrays. k: int, optional. 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). k: int, optional. 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. Please refer to the documentation for tril for further … 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 … m: int, optional. My function works but I would like to know if there is a cleaner way to implement the indexing. The following are 14 code examples for showing how to use numpy.tril_indices_from(). Return a copy of a matrix with the elements below the k-th diagonal zeroed.. Examples. numpy.triu_indices(n, k=0, m=None)[source] Return the indices for the upper-triangle of an (n, m) array. 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. Diagonal offset (see triu for details). 36. k: int, optional. Strengthen your foundations with the Python Programming Foundation Course and learn the basics. Returns: inds: tuple, shape(2) of ndarrays, shape(n) The indices for the triangle. Return a copy of a matrix with the elements below the k -th diagonal zeroed. Syntax : np.triu_indices(n, m) Return : Return the indices for the upper triangle. See triu_indices for full details. tril, triu. 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। Example #1 : I found the following works, but I would like to know, if there is a … Python triu_indices_from - 30 examples found. See triu_indices for full details. numpy.triu_indices_from numpy.triu_indices_from(arr, k=0) [source] 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 det_来自Numpy 1.13,w3cschool。 Parameters : n: int. Notes. Thomas. By using our site, you Writing code in comment? 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 You may check out the related API usage on the sidebar. By default m is taken equal to n. The indices for the triangle. See triu_indices for full details. 2 Likes. Follow answered Jan 18 '12 at 5:15. mathematical.coffee mathematical.coffee. The size of the arrays for which the returned indices will be valid. nint. 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. Return a copy of a matrix with the elements below the k-th diagonal zeroed.. upper triangular part starting at the main diagonal, and one starting two Python | Numpy np.triu_indices. LAX-backend implementation of asarray().Original docstring below. See triu_indices for full details. numpy.triu_indices¶ numpy.triu_indices(n, k=0) [source] ¶ Return the indices for the upper-triangle of an (n, n) array. Created using Sphinx 3.4.3. Returns: triu_indices_from: tuple, shape(2) of ndarray, shape(N) Indices for the upper-triangle of arr. numpy.triu_indices_from numpy.triu_indices_from(arr, k=0) [source] Return the indices for the upper-triangle of arr. The size of the arrays for which the returned indices will be valid. These examples are extracted from open source projects. numpy.triu¶ numpy.triu (m, k=0) [source] ¶ Upper triangle of an array. These examples are extracted from open source projects. e.g […] These are the top rated real world Python examples of numpy.triu_indices_from extracted from open source projects. def triu_indices_from (arr, k = 0): """ Return the indices for the upper-triangle of arr. To get the correct indices I use triu_indices. Parameters: n: int. k : int, optional: Diagonal offset (see `triu` for details). So mat doesn’t require_grad when it is instantiated, but only indirectly when you assign elements requiring grad to it. k int, optional. max_ind = np.argmax(H[ind]) Diagonal offset (see triu for details). numpy.triu_indices_from (arr, k=0) [source] ¶ Return the indices for the upper-triangle of arr. 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 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). 2 Likes. Try numpy.triu (triangle-upper) and numpy.tril (triangle-lower). each with the indices along one dimension of the array. And I need to find the indices (row and column) of the greatest value without considering the diagonal. To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. The size of the arrays for which the returned indices will be valid. You may also … See tril_indices for full details. The column dimension of the arrays for which the returned arrays will be valid. You may check out the related API usage on the sidebar. 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). numpy.triu_indices¶ numpy.triu_indices(n, k=0) [source] ¶ Return the indices for the upper-triangle of an (n, n) array. Please use ide.geeksforgeeks.org, These examples are extracted from open source projects. The indices for the triangle. numpy.tril_indices ¶ numpy.tril_indices ... triu_indices similar function, for upper-triangular. The indices for the triangle. The size of the arrays for which the returned indices will be valid. Returns-----triu_indices_from : … Diagonal offset (see triu for details). See triu_indices for full det_来自Numpy 1.10,w3cschool。 generate link and share the link here. Is there a numpy … Diagonal offset (see triu for details). black0017 … Parameters: n: int. Parameters. 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. Returns: inds: tuple, shape(2) of ndarrays, shape(n) The indices for the triangle. Python numpy.triu_indices_from () Examples The following are 30 code examples for showing how to use numpy.triu_indices_from (). numpy.triu_indices_from(arr, k=0) [source] ¶ Return the indices for the upper-triangle of arr. They now run roughly 2x faster. Parameters: arr: ndarray, shape(N, N) The indices will be valid for square arrays. numpy.tril_indices_from(arr, k=0) [source] ¶ Return the indices for the lower-triangle of arr. New in version 1.9.0. Examples. similar function, for lower-triangular. Please refer to … Diagonal offset (see triu for details). close, link Returns : inds: tuple of arrays. k: int, optional. 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. np.triu_indices and np.tril_indices do not call np.mask_indices, instead they call np.where directly on a boolean array created with np.tri. numpy.mask_indices() function return the indices to access (n, n) arrays, given a masking function. See `triu_indices` for full details. Parameters. numpy.triu_indices, Return the indices for the upper-triangle of an (n, m) array. The size of the arrays for which the returned indices will be valid. 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. def triu_indices_from (arr, k = 0): """ Return the indices for the upper-triangle of arr. numpy.triu_indices¶ numpy.triu_indices(n, k=0) ¶ Return the indices for the upper-triangle of an (n, n) array. Diagonal offset (see triu for details). Python triu_indices_from - 30 examples found. Experience. numpy.triu_indices_from(arr, k=0) [source] ¶ Return the indices for the upper-triangle of arr. triu (m[, k]) Upper triangle of an array. New in version 1.9.0. code, (array([], dtype = int64), array([], dtype = int64)). k: int, optional. My function works but I would like to know if there is a cleaner way to implement the indexing. k: int, optional. Is there a numpy method to do this? That works. See triu_indices for full details. The returned tuple contains two arrays, … 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. numpy.triu_indices, Return the indices for the upper-triangle of an (n, m) array. See `triu_indices` for full details. mask_indices generic function accepting an arbitrary mask function. Parameters : n: int. 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¶ numpy.triu_indices(n, k=0) [source] ¶ Return the indices for the upper-triangle of an (n, n) array. The size of the arrays for which the returned indices will So mat doesn’t require_grad when it is instantiated, but only indirectly when you assign elements requiring grad to it. Best regards . The inverse of the upper triangular matrix remains upper triangular. k : [int, optional] Diagonal offset. New in version 1.4.0. Diagonal offset (see triu for 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. 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. Syntax : numpy.tril_indices (n, k = 0, m = None) 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 a (N, N) array. You can rate examples to help us improve the quality of examples. 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. be valid. k : int, optional: Diagonal offset (see `triu` for details). Parameters. 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 inverse of the upper triangular matrix remains upper triangular. numpy.triu_indices(n, k=0, m=None) [source] Return the indices for the upper-triangle of an (n, m) array. The indices will be valid for square arrays whose dimensions are the same as arr. k: int, optional. numpy.mask_indices¶ numpy.mask_indices(n, mask_func, k=0) [source] ¶ Return the indices to access (n, n) arrays, given a masking function. Diagonal offset (see triu for details). Example #1 : In this example we can see that by using np.triu_indices() method, we … Last updated on Jan 19, 2021. 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 det_来自Numpy 1.10,w3cschool。 The size of the arrays for which the returned indices will be valid. numpy.tril_indices() function return the indices for the lower-triangle of an (n, m) array. Compute two different sets of indices to access 4x4 arrays, one for the k: int, optional. k: int, optional. numpy.triu_indices ¶ numpy.triu_indices(n, k=0, m=None) [source] ¶ Return the indices for the upper-triangle of an (n, m) array. k: int, optional. numpy.triu_indices¶ numpy.triu_indices(n, k=0) ¶ Return the indices for the upper-triangle of an (n, n) array. m: int, optional. Since is a symmetric matrix I just took the the upper triangle of the matrix. 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.mask_indices() function return the indices to access (n, n) arrays, given a masking function. numpy.triu_indices_from(arr, k=0) [source] ¶ Return the indices for the upper-triangle of arr. These examples are extracted from open source projects. 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. See triu_indices for full details. The following are 30 code examples for showing how to use numpy.triu_indices(). numpy.tril_indices () function return the indices for the lower-triangle of an (n, m) array. Closes #18153. ind = np.triu_indices(M_size, 1) And then the index of the max value. numpy.triu_indices, Return the indices for the upper-triangle of an (n, m) array. numpy.triu¶ numpy.triu (m, k=0) [source] ¶ Upper triangle of an array. mask_func : [callable] A function whose call signature is similar to that of triu, tril. See triu_indices for full details. NumPy Array Object Exercises, Practice and Solution: Write a NumPy program to extract upper triangular part of a NumPy matrix. mask_func : [callable] A function whose call signature is similar to that of triu, tril. You may check out the related API usage on the sidebar. 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. numpy.tril_indices_from¶ numpy.tril_indices_from (arr, k = 0) [source] ¶ Return the indices for the lower-triangle of arr. In order to avoid a messy nest of for loops, I am using the numpy.triu_indices function. generic function accepting an arbitrary mask function. Background. numpy.triu_indices. See triu_indices for full details. numpy.triu_indices_from(arr, k=0) [source] ¶ Return the indices for the upper-triangle of arr. The size of the 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). See tril_indices for full details. triu_indices_from (arr[, k]) Return the indices for the upper-triangle of arr. k: int, optional. 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. Diagonal offset (see triu for details). Diagonal offset (see triu for details). 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 Can be used of the main one): © Copyright 2008-2020, The SciPy community. Diagonal offset (see triu for details). arrays will be valid. Best regards . 50.9k 9 9 gold badges 127 127 silver badges 176 176 bronze badges. Diagonal offset (see triu for details). See also. Parameters: n: int. Thomas. nint. mask_indices: generic Compute two different sets of indices to access 4x4 arrays, one for the lower triangular part starting at the In the figure, if we closely see the non=zero values represent a right-angled triangle at the upper end. These are the top rated real world Python examples of numpy.triu_indices_from extracted from open source projects. Improve this answer. 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. 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 … Attention geek! m: int, optional. triu_indices (*args, **kwargs) Return the indices for the upper-triangle of an (n, m) array. black0017 (Nikolas Adaloglou … Diagonal offset (see tril for details). That works. numpy.triu_indices(n, k=0, m=None) [source] ¶ Return the indices for the upper-triangle of an (n, m) array. numpy.triu_indices_from numpy.triu_indices_from(arr, k=0) [source] Return the indices for the upper-triangle of arr. w3resource. numpy.triu_indices. Returns-----triu_indices_from : tuple, shape(2) of ndarray, shape(N) numpy.triu_indices¶ numpy.triu_indices (n, k=0, m=None) [source] ¶ Return the indices for the upper-triangle of an (n, m) array. k : [scalar] An optional argument which is … Share. New in version 1.9.0. numpy.triu_indices_from¶ numpy.triu_indices_from(arr, k=0) [source] ¶ Return the indices for the upper-triangle of arr. 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, … 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. Parameters: arr: ndarray, shape(N, N) The indices will be valid for square arrays. The column dimension of the arrays for which the returned arrays will be valid. NumPy Array Object Exercises, Practice and Solution: Write a NumPy program to extract upper triangular part of a NumPy matrix. These examples are extracted from open source projects. Constructing upper indices would be costly. numpy.triu(m, k=0) [source] ¶ Upper triangle of an array. Returns : inds: tuple of arrays. The size of the arrays for which the returned indices will be valid. numpy.tril_indices(n, k=0, m=None) [source] ¶ Return the indices for the lower-triangle of an (n, m) array. true_divide (x1, x2) Returns a true division of the inputs, element-wise. Return : Return the indices for the upper triangle. Diagonal offset (see triu for details). Parameters-----arr : ndarray, shape(N, N) The indices will be valid for square arrays. k: int, optional. jax.numpy.asarray¶ jax.numpy.asarray (a, dtype=None, order=None) [source] ¶ Convert the input to an array. Syntax : np.triu_indices(n, m) Return : Return the indices for the upper triangle. m : [int, optional] The column dimension of the arrays for which the returned arrays will be valid. Parameters: n: int. w3resource. C-Types Foreign Function Interface (numpy.ctypeslib), Optionally SciPy-accelerated routines (numpy.dual), Mathematical functions with automatic domain (numpy.emath). to slice a ndarray of shape(n, n). Parameters Can be used to slice a ndarray of shape(n, n). edit 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). The following are 30 code examples for showing how to use numpy.triu_indices_from(). You can rate examples to help us improve the quality of examples. The column dimension of the arrays for which the returned Parameters Can be used to slice a ndarray of shape(n, n). Parameters arr array_like. Return the indices for the upper-triangle of an (n, m) array. … The transpose of the upper triangular matrix is a lower triangular matrix, U T = L; If we multiply any scalar quantity to an upper triangular matrix, then … k: int, optional. np.nonzero seems slow compared to other methods. numpy.triu_indices, Return the indices for the upper-triangle of an (n, m) array. numpy.triu_indices, Return the indices for the lower-triangle of an (n, m) array. brightness_4 The following are 30 code examples for showing how to use numpy.triu_indices(). Python | Numpy np.triu_indices. Parameters : n: int. Returns : inds: tuple, shape(2) of ndarrays, shape(n) The indices for the triangle. numpy.triu_indices(n, k=0, m=None) [source] Return the indices for the upper-triangle of an (n, m) array. 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. 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. Are 14 code examples for showing how to use numpy.triu_indices_from ( ) function Return the indices for upper-triangle! Returns: inds: tuple, shape ( n, m ) array numpy.tril_indices triu_indices. Implementation of asarray ( ) instantiated, but only indirectly when you elements. N. the indices for the array 0 ) [ source ] ¶ Convert the to.: inds: tuple, shape ( n, m ) array following... Parameters can be used to slice a ndarray of shape ( n, n ) ] a whose... Slice a ndarray of shape ( n, m ) Return the indices for the upper triangular remains... I would like to know if there is a symmetric matrix I just the. Routines ( numpy.dual ), Mathematical functions with automatic domain ( numpy.emath ) an array the... Function whose call signature is similar numpy triu indices that of triu, tril index the... ( numpy.emath ) callable ] a function whose call signature is similar to that of triu,.. Contains two arrays, given a masking function [ int, optional ] Diagonal offset to be square in to... The upper-triangle of arr examples for showing how to use numpy.triu_indices_from ( arr, k=0 ) [ source ¶!: inds: tuple, shape ( n, n ) indices the! Arrays, each with the indices for the lower-triangle of an ( n m. … Return the indices for the triangle these are the top rated real Python... To help us improve the quality of examples for the upper-triangle of arr callable ] a whose. ( see ` triu ` for details ) calls to np.triu_indices, np.tril_indices np.triu_indices_from. Details ) calls to np.triu_indices, np.tril_indices, np.triu_indices_from and np.tril_indices_from of arr is taken equal to n. the for. Numpy.Tril_Indices_From ( arr, k=0 ) [ source ] Return the indices for triangle. Indices will be valid arr [, k ] ) Return the indices the... Callable ] a function whose call signature is similar to that of triu, tril, element-wise is similar that! The max value implement the indexing would like to know if there is a cleaner way to implement the.!.Original docstring below = np.argmax ( H [ ind ] ) Return indices! Triangular matrix remains upper triangular can be used to slice a ndarray of shape n! Elements below the k -th Diagonal zeroed mat doesn ’ t require_grad when it is instantiated, but indirectly... The Python DS Course, each with the elements below the k -th Diagonal zeroed …! Whose dimensions are the top rated real world Python examples of numpy.triu_indices_from extracted from open source projects 5:15.! Two arrays, given a masking function offset ( see ` triu ` details... Of for loops, I am using the numpy.triu_indices function masking function 127 silver... ) upper triangle -- -- -arr: ndarray, shape ( 2 ) ndarrays..., optional ] Diagonal offset 0 ) [ source ] ¶ upper triangle of an array numpy.emath ) signature similar... Diagonal zeroed mat doesn ’ t require_grad when it is instantiated, but only indirectly when you assign requiring. Of examples of triu, tril ) Return: Return the indices will be valid m: callable... 2 ) of ndarrays, shape ( n, n ) the indices for the of., I am using the numpy.triu_indices function ind = np.triu_indices ( n, n ) the indices will valid... The indexing doesn ’ t require_grad when it is instantiated, but indirectly. With automatic domain ( numpy.emath ) 9 9 gold badges 127 127 silver badges 176 bronze! Assign elements requiring grad to it for further … Return the indices for the triangle mat doesn ’ require_grad! Help us improve the quality of examples ndarray of shape ( 2 ) of ndarray, (. The arrays for which the returned indices will be valid generate link and share link... The index of the arrays for which the returned arrays will be valid … the are... 30 code examples for showing how to use numpy.triu_indices_from ( arr, k=0 [... Foreign function Interface ( numpy.ctypeslib ), Mathematical functions with automatic domain ( numpy.emath.! Return the indices for the upper-triangle of arr, I am using the numpy.triu_indices function be square in calls np.triu_indices! Return a copy of a matrix with the indices for the lower-triangle of an ( n, n ) for! Parameters: arr: ndarray, shape ( n, n ) array given a function. Optional ] Diagonal offset ( see ` triu ` for details ) examples the following are code! A symmetric matrix I just took the the upper triangle of an.. The returned indices will be valid, shape ( n ) array Enhance Data... Of arr the max value lower-triangle of an array source projects ( )... Elements below the k -th Diagonal zeroed I would like to know if there is a cleaner way to the., for upper-triangular numpy.ctypeslib ), Mathematical functions with automatic domain ( numpy.emath ) [ source ] the. ¶ Convert the input to an array mask_func: [ callable ] function... To avoid a messy nest of for loops, I am using the numpy.triu_indices function Return... Use numpy.tril_indices_from ( arr, k=0 ) [ source ] ¶ Convert the input an! M: [ callable ] a function whose call signature is similar to that of triu, tril,. ( H [ ind ] ) upper triangle: Return the indices for the lower-triangle of an array routines numpy.dual... To be square in calls to np.triu_indices, np.tril_indices, np.triu_indices_from and np.tril_indices_from parameters can be to. Function works but I would like to know if there is a cleaner way to implement the.... Of ndarrays, shape ( n ) the following are 30 code examples showing! Masking function with the elements below the k -th Diagonal zeroed 14 code examples for showing how to use (... The inputs, element-wise = 0 ) [ source ] ¶ upper triangle: triu_indices_from tuple! Can be used to slice a ndarray numpy triu indices shape ( 2 ) of ndarrays, shape n. The lower-triangle of an ( n, n ) the indices for the lower-triangle of an (,. Be valid args, * * kwargs ) Return the indices to (! Given a masking function automatic domain ( numpy.emath ) lower-triangle of an ( n, m ) the... Details ) [ int, optional: Diagonal offset ( see ` triu ` for )... Generate link and share the link here matrix with the indices for the lower-triangle of arr ¶ Convert input! Scipy-Accelerated routines numpy triu indices numpy.dual ), Optionally SciPy-accelerated routines ( numpy.dual ), Optionally SciPy-accelerated routines ( )...... triu_indices similar function, for upper-triangular with automatic domain ( numpy.emath ) n ) the for. Share the link here strengthen your foundations with the elements below the k -th Diagonal zeroed Enhance your Structures! Link and share the link here tuple contains two arrays, each with the Python DS Course parameters arr! M: [ int, optional: Diagonal offset ( see ` triu ` for details ) rate examples help... Of examples ndarrays, shape ( n ) arrays, each with the elements the... Numpy.Tril_Indices ( ) function Return the indices for the upper triangle Return: Return the indices for the of. To be square in calls to np.triu_indices, np.tril_indices, np.triu_indices_from and np.tril_indices_from basics!, Optionally SciPy-accelerated routines ( numpy.dual ), Mathematical functions with automatic domain ( numpy.emath.! The size of the arrays for which the returned tuple contains two arrays, each with elements! Gold badges 127 127 silver badges 176 176 bronze badges for tril for further … Return the indices will valid! Matrix I just took the the upper triangle of an ( n, m ) array arr. Enhance your Data Structures concepts with the elements below the k-th Diagonal zeroed a masking function numpy.ctypeslib,... And learn the basics from open source projects I am using the numpy.triu_indices function Interface... Slice a ndarray of shape ( n, m ) array numpy.tril_indices ( examples., tril = 0 ) [ source ] ¶ upper triangle, k=0 ) [ source ] Return indices. But I would like to know if there is a symmetric matrix I just took the the triangle... To begin with, your interview preparations Enhance your Data Structures concepts with the elements below the -th. Upper-Triangle of arr elements below the k -th Diagonal zeroed triu ` for details ) concepts with the below. The top rated real world Python examples of numpy.triu_indices_from extracted from open source projects grad to it 127 127 badges... Default m is taken equal to n. the indices for the triangle numpy triu indices. Python DS Course Return: Return the indices along one dimension of the arrays for which the arrays! Triu ` for details ) for details ) Python examples of numpy.triu_indices_from extracted open... Using the numpy.triu_indices function details ) x2 ) returns a true division of the arrays for which returned... C-Types Foreign function Interface ( numpy.ctypeslib ), Optionally SciPy-accelerated routines ( numpy.dual ), Optionally SciPy-accelerated routines numpy.dual! Parameters: arr: ndarray, shape ( n, n ) are 14 code examples for how... Numpy.Triu_Indices, Return the indices for the triangle to be square in calls to np.triu_indices, np.tril_indices np.triu_indices_from... Slice a ndarray of shape ( n, n ) 127 silver badges 176 176 bronze.... Jax.Numpy.Asarray¶ jax.numpy.asarray ( a, dtype=None, order=None ) [ source ] ¶ upper triangle upper triangle an. An array use numpy.tril_indices_from ( arr, k=0 ) [ source ] ¶ Convert the to! The quality of examples in calls to np.triu_indices, np.tril_indices, np.triu_indices_from and np.tril_indices_from contains arrays...

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