https://github.com/stdlib-js/stats-base-ndarray-max-by
Compute the maximum value of a one-dimensional ndarray via a callback function.
https://github.com/stdlib-js/stats-base-ndarray-max-by
domain extent extremes javascript math mathematics max maximum ndarray node node-js nodejs range statistics stats stdlib
Last synced: 3 months ago
JSON representation
Compute the maximum value of a one-dimensional ndarray via a callback function.
- Host: GitHub
- URL: https://github.com/stdlib-js/stats-base-ndarray-max-by
- Owner: stdlib-js
- License: apache-2.0
- Created: 2025-06-04T02:21:10.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-06-09T07:30:54.000Z (4 months ago)
- Last Synced: 2025-06-09T08:35:18.018Z (4 months ago)
- Topics: domain, extent, extremes, javascript, math, mathematics, max, maximum, ndarray, node, node-js, nodejs, range, statistics, stats, stdlib
- Language: JavaScript
- Homepage: https://github.com/stdlib-js/stdlib
- Size: 418 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
- Security: SECURITY.md
Awesome Lists containing this project
README
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!
# maxBy
[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url]
> Compute the maximum value of a one-dimensional ndarray via a callback function.
## Installation
```bash
npm install @stdlib/stats-base-ndarray-max-by
```Alternatively,
- To load the package in a website via a `script` tag without installation and bundlers, use the [ES Module][es-module] available on the [`esm`][esm-url] branch (see [README][esm-readme]).
- If you are using Deno, visit the [`deno`][deno-url] branch (see [README][deno-readme] for usage intructions).
- For use in Observable, or in browser/node environments, use the [Universal Module Definition (UMD)][umd] build available on the [`umd`][umd-url] branch (see [README][umd-readme]).The [branches.md][branches-url] 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.
## Usage
```javascript
var maxBy = require( '@stdlib/stats-base-ndarray-max-by' );
```#### maxBy( arrays, clbk\[, thisArg ] )
Computes the maximum value of a one-dimensional ndarray via a callback function.
```javascript
var ndarray = require( '@stdlib/ndarray-base-ctor' );function clbk( value ) {
return value * 2.0;
}var xbuf = [ 1.0, 3.0, 4.0, 2.0 ];
var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );var v = maxBy( [ x ], clbk );
// returns 8.0
```The function has the following parameters:
- **arrays**: array-like object containing a one-dimensional input ndarray.
- **clbk**: callback function.
- **thisArg**: callback execution context (_optional_).The invoked callback is provided three arguments:
- **value**: current array element.
- **idx**: current array element index.
- **array**: input ndarray.To set the callback execution context, provide a `thisArg`.
```javascript
var ndarray = require( '@stdlib/ndarray-base-ctor' );function clbk( value ) {
this.count += 1;
return value * 2.0;
}var xbuf = [ 1.0, 3.0, 4.0, 2.0 ];
var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
var ctx = {
'count': 0
};var v = maxBy( [ x ], clbk, ctx );
// returns 8.0var count = ctx.count;
// returns 4
```## Notes
- If provided an empty one-dimensional ndarray, the function returns `NaN`.
- A provided callback function should return a numeric value.
- If a provided callback function does not return any value (or equivalently, explicitly returns `undefined`), the value is **ignored**.## Examples
```javascript
var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var ndarray = require( '@stdlib/ndarray-base-ctor' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var maxBy = require( '@stdlib/stats-base-ndarray-max-by' );function clbk( value ) {
return value * 2.0;
}var xbuf = discreteUniform( 10, -50, 50, {
'dtype': 'generic'
});
var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
console.log( ndarray2array( x ) );var v = maxBy( [ x ], clbk );
console.log( v );
```* * *
## 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 © 2016-2025. The Stdlib [Authors][stdlib-authors].
[npm-image]: http://img.shields.io/npm/v/@stdlib/stats-base-ndarray-max-by.svg
[npm-url]: https://npmjs.org/package/@stdlib/stats-base-ndarray-max-by[test-image]: https://github.com/stdlib-js/stats-base-ndarray-max-by/actions/workflows/test.yml/badge.svg?branch=main
[test-url]: https://github.com/stdlib-js/stats-base-ndarray-max-by/actions/workflows/test.yml?query=branch:main[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/stats-base-ndarray-max-by/main.svg
[coverage-url]: https://codecov.io/github/stdlib-js/stats-base-ndarray-max-by?branch=main[chat-image]: https://img.shields.io/gitter/room/stdlib-js/stdlib.svg
[chat-url]: https://app.gitter.im/#/room/#stdlib-js_stdlib:gitter.im[stdlib]: https://github.com/stdlib-js/stdlib
[stdlib-authors]: https://github.com/stdlib-js/stdlib/graphs/contributors
[umd]: https://github.com/umdjs/umd
[es-module]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules[deno-url]: https://github.com/stdlib-js/stats-base-ndarray-max-by/tree/deno
[deno-readme]: https://github.com/stdlib-js/stats-base-ndarray-max-by/blob/deno/README.md
[umd-url]: https://github.com/stdlib-js/stats-base-ndarray-max-by/tree/umd
[umd-readme]: https://github.com/stdlib-js/stats-base-ndarray-max-by/blob/umd/README.md
[esm-url]: https://github.com/stdlib-js/stats-base-ndarray-max-by/tree/esm
[esm-readme]: https://github.com/stdlib-js/stats-base-ndarray-max-by/blob/esm/README.md
[branches-url]: https://github.com/stdlib-js/stats-base-ndarray-max-by/blob/main/branches.md[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/stats-base-ndarray-max-by/main/LICENSE