About stdlib...
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!
Broadcast an ndarray to a specified shape.
npm install @stdlib/ndarray-broadcast-array
Alternatively,
- To load the package in a website via a
script
tag without installation and bundlers, use the ES Module available on theesm
branch (see README). - If you are using Deno, visit the
deno
branch (see README for usage intructions). - For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the
umd
branch (see README).
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 broadcastArray = require( '@stdlib/ndarray-broadcast-array' );
Broadcasts an ndarray to a specified shape
.
var array = require( '@stdlib/ndarray-array' );
// Create a 2x2 ndarray:
var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );
// returns <ndarray>
// Broadcast to a 2x2x2 ndarray:
var y = broadcastArray( x, [ 2, 2, 2 ] );
// returns <ndarray>
- The function throws an error if a provided ndarray is incompatible with a provided shape.
- The returned ndarray is a read-only view on the input ndarray data buffer. The view is typically not contiguous. As more than one element of a returned view may refer to the same memory location, writing to the input ndarray may affect multiple elements. If you need to write to the input ndarray, copy the input ndarray before broadcasting.
- The function always returns a new ndarray instance even if the input ndarray shape and the desired shape are the same.
var array = require( '@stdlib/ndarray-array' );
var numel = require( '@stdlib/ndarray-base-numel' );
var ind2sub = require( '@stdlib/ndarray-ind2sub' );
var broadcastArray = require( '@stdlib/ndarray-broadcast-array' );
// Create a 2x2 array:
var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );
// returns <ndarray>
// Broadcast the array to 3x2x2:
var y = broadcastArray( x, [ 3, 2, 2 ] );
// returns <ndarray>
// Retrieve the shape:
var sh = y.shape;
// returns [ 3, 2, 2 ]
// Retrieve the number of elements:
var N = numel( sh );
// Loop through the array elements...
var i;
for ( i = 0; i < N; i++ ) {
console.log( 'Y[%s] = %d', ind2sub( sh, i ).join( ', ' ), y.iget( i ) );
}
@stdlib/ndarray-array
: multidimensional arrays.@stdlib/ndarray-broadcast-arrays
: broadcast ndarrays to a common shape.@stdlib/ndarray-ctor
: multidimensional array constructor.@stdlib/ndarray-maybe-broadcast-array
: broadcast an ndarray to a specified shape if and only if the specified shape differs from the provided ndarray's shape.
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 © 2016-2024. The Stdlib Authors.