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We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.
The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.
When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.
To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!
Return a view of the diagonal of a matrix (or stack of matrices).
For an M-by-N matrix A, the k-th diagonal is defined as
$$D_k = \{\, A_{i,j} : j - i = k \,\}$$where k = 0 corresponds to the main diagonal, k > 0 corresponds to the super-diagonals (above the main diagonal), and k < 0 corresponds to the sub-diagonals (below the main diagonal). For example, given the matrix
$$A = \begin{bmatrix} a_{0,0} & a_{0,1} & a_{0,2} \\ a_{1,0} & a_{1,1} & a_{1,2} \\ a_{2,0} & a_{2,1} & a_{2,2} \end{bmatrix}$$the main diagonal is [ a_{0,0}, a_{1,1}, a_{2,2} ], the super-diagonal k = 1 is [ a_{0,1}, a_{1,2} ], and the sub-diagonal k = -1 is [ a_{1,0}, a_{2,1} ].
npm install @stdlib/ndarray-base-diagonalAlternatively,
The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.
To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.
var diagonal = require( '@stdlib/ndarray-base-diagonal' );Returns a view of the diagonal of a matrix (or stack of matrices) x.
var array = require( '@stdlib/ndarray-array' );
var x = array( [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ], [ 7.0, 8.0, 9.0 ] ] );
// returns <ndarray>[ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ], [ 7.0, 8.0, 9.0 ] ]
var y = diagonal( x, [ 0, 1 ], 0, false );
// returns <ndarray>[ 1.0, 5.0, 9.0 ]The function accepts the following arguments:
var uniform = require( '@stdlib/random-uniform' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var diagonal = require( '@stdlib/ndarray-base-diagonal' );
// Create a stack of matrices:
var x = uniform( [ 2, 3, 3 ], -10.0, 10.0, {
'dtype': 'float64'
});
console.log( ndarray2array( x ) );
// Extract the main diagonals from the stack:
var y = diagonal( x, [ 1, 2 ], 0, false );
console.log( ndarray2array( y ) );
// Extract super-diagonals from the stack:
y = diagonal( x, [ 1, 2 ], 1, false );
console.log( ndarray2array( y ) );
// Extract sub-diagonals from the stack:
y = diagonal( x, [ 1, 2 ], -1, false );
console.log( ndarray2array( y ) );This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.
See LICENSE.
Copyright © 2016-2026. The Stdlib Authors.
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