# @stdlib/ndarray-base-broadcast-array

> Broadcast an ndarray to a specified shape.

Latest version **0.2.4** (published 2026-02-08) · Apache-2.0 license · 0 weekly downloads

## Install

```sh
npm install @stdlib/ndarray-base-broadcast-array
pnpm add @stdlib/ndarray-base-broadcast-array
yarn add @stdlib/ndarray-base-broadcast-array
bun add @stdlib/ndarray-base-broadcast-array
```

## Health

**Score 55/100 (C)** — status: stable.

Positive: has types; no vulnerabilities; high maintenance score.

Warnings: low downloads; no esm support; pre 1.0.

## Facts

| | |
|---|---|
| Version | 0.2.4 |
| Published | 2026-02-08 |
| First published | 2021-06-28 |
| Weekly downloads | 0 |
| License | Apache-2.0 |
| TypeScript types | bundled |
| Module format | CommonJS |
| Node | >=0.10.0 |
| Dependencies | 11 |
| Unpacked size | 39.4 KB |
| Known vulnerabilities | 0 |
| Install scripts | no |
| GitHub stars | 2 |
| Author | The Stdlib Authors |
| Maintainers | stdlib-bot, kgryte, planeshifter, rreusser |
| Keywords | stdlib, stdtypes, types, base, ndarray, broadcast, broadcasting, reshape, multidimensional, array, utilities, utility, utils, util |

## Links

- npm: https://www.npmjs.com/package/@stdlib/ndarray-base-broadcast-array
- Repository: https://github.com/stdlib-js/ndarray-base-broadcast-array
- Homepage: https://stdlib.io
- Issues: https://github.com/stdlib-js/stdlib/issues
- Funding: https://opencollective.com/stdlib
- npm.io page: https://npm.io/package/@stdlib/ndarray-base-broadcast-array

## Dependencies (11)

- [@stdlib/string-format](https://npm.io/package/@stdlib/string-format.md) ^0.2.3
- [@stdlib/array-base-zeros](https://npm.io/package/@stdlib/array-base-zeros.md) ^0.2.3
- [@stdlib/ndarray-base-ctor](https://npm.io/package/@stdlib/ndarray-base-ctor.md) ^0.3.1
- [@stdlib/ndarray-base-dtype](https://npm.io/package/@stdlib/ndarray-base-dtype.md) ^0.2.3
- [@stdlib/ndarray-base-order](https://npm.io/package/@stdlib/ndarray-base-order.md) ^0.2.3
- [@stdlib/ndarray-base-shape](https://npm.io/package/@stdlib/ndarray-base-shape.md) ^0.2.3
- [@stdlib/ndarray-base-offset](https://npm.io/package/@stdlib/ndarray-base-offset.md) ^0.2.3
- [@stdlib/ndarray-base-strides](https://npm.io/package/@stdlib/ndarray-base-strides.md) ^0.2.3
- [@stdlib/error-tools-fmtprodmsg](https://npm.io/package/@stdlib/error-tools-fmtprodmsg.md) ^0.2.3
- [@stdlib/array-base-copy-indexed](https://npm.io/package/@stdlib/array-base-copy-indexed.md) ^0.2.3
- [@stdlib/ndarray-base-data-buffer](https://npm.io/package/@stdlib/ndarray-base-data-buffer.md) ^0.2.3

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## Recent versions

- 0.2.4 (latest) — 2026-02-08
- 0.2.3 — 2026-02-08
- 0.2.2 — 2024-07-29
- 0.2.1 — 2024-02-25
- 0.2.0 — 2024-02-14
- 0.1.0 — 2023-09-24
- 0.0.6 — 2022-02-16
- 0.0.5 — 2021-08-23
- 0.0.4 — 2021-07-07
- 0.0.3 — 2021-06-30
- 0.0.2 — 2021-06-29
- 0.0.1 — 2021-06-28

## README

<!--

@license Apache-2.0

Copyright (c) 2021 The Stdlib Authors.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
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<details>
  <summary>
    About stdlib...
  </summary>
  <p>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.</p>
  <p>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.</p>
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</details>

# broadcastArray

[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] <!-- [![dependencies][dependencies-image]][dependencies-url] -->

> Broadcast an [ndarray][@stdlib/ndarray/base/ctor] to a specified shape.

<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->

<section class="intro">

</section>

<!-- /.intro -->

<!-- Package usage documentation. -->

<section class="installation">

## Installation

```bash
npm install @stdlib/ndarray-base-broadcast-array
```

</section>

<section class="usage">

## Usage

```javascript
var broadcastArray = require( '@stdlib/ndarray-base-broadcast-array' );
```

#### broadcastArray( arr, shape )

Broadcasts an [ndarray][@stdlib/ndarray/base/ctor] to a specified `shape`.

```javascript
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>
```

</section>

<!-- /.usage -->

<!-- Package usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="notes">

## Notes

-   The function throws an error if a provided [ndarray][@stdlib/ndarray/base/ctor] is [incompatible][@stdlib/ndarray/base/broadcast-shapes] with a provided shape.
-   The returned [ndarray][@stdlib/ndarray/base/ctor] is a view on the input [ndarray][@stdlib/ndarray/base/ctor] 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 view may affect multiple elements. If you need to write to the returned [ndarray][@stdlib/ndarray/base/ctor], copy the [ndarray][@stdlib/ndarray/base/ctor] **before** performing operations which may mutate elements.
-   The returned [ndarray][@stdlib/ndarray/base/ctor] is a "base" [ndarray][@stdlib/ndarray/base/ctor], and, thus, the returned [ndarray][@stdlib/ndarray/base/ctor] does not perform bounds checking or afford any of the guarantees of the non-base [ndarray][@stdlib/ndarray/ctor] constructor. The primary intent of this function is to broadcast an ndarray-like object within internal implementations and to do so with minimal overhead.
-   The function always returns a new [ndarray][@stdlib/ndarray/base/ctor] instance even if the input [ndarray][@stdlib/ndarray/base/ctor] shape and the desired shape are the same.

</section>

<!-- /.notes -->

<!-- Package usage examples. -->

<section class="examples">

## Examples

<!-- eslint no-undef: "error" -->

```javascript
var array = require( '@stdlib/ndarray-array' );
var numel = require( '@stdlib/ndarray-base-numel' );
var ind2sub = require( '@stdlib/ndarray-ind2sub' );
var broadcastArray = require( '@stdlib/ndarray-base-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 sub;
var v;
var i;
for ( i = 0; i < N; i++ ) {
    v = y.iget( i );
    sub = ind2sub( sh, i );
    console.log( 'Y[%s] = %d', sub.join( ', ' ), v );
}
```

</section>

<!-- /.examples -->

<!-- Section to include cited references. If references are included, add a horizontal rule *before* the section. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="references">

</section>

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<section class="related">

</section>

<!-- /.related -->

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<section class="main-repo" >

* * *

## Notice

This package is part of [stdlib][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][stdlib], see the main project [repository][stdlib].

#### Community

[![Chat][chat-image]][chat-url]

---

## License

See [LICENSE][stdlib-license].


## Copyright

Copyright &copy; 2016-2026. The Stdlib [Authors][stdlib-authors].

</section>

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[deno-url]: https://github.com/stdlib-js/ndarray-base-broadcast-array/tree/deno
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[@stdlib/ndarray/ctor]: https://www.npmjs.com/package/@stdlib/ndarray-ctor

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