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!

zerosLike

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

> Create a zero-filled array having the same length and data type as a provided array.

Installation

``bash npm install @stdlib/array-zeros-like`

`Usage`

`javascript var zerosLike = require( '@stdlib/array-zeros-like' );`

#### zerosLike( x\[, dtype] )

Creates a zero-filled array having the same length and data type as a provided array x.

`javascript var x = [ 1, 2, 3, 4, 5 ];

var arr = zerosLike( x ); // returns [ 0, 0, 0, 0, 0 ]`

The function supports the following data types:

- float64: double-precision floating-point numbers (IEEE 754) -float32: single-precision floating-point numbers (IEEE 754) -complex128: double-precision complex floating-point numbers -complex64: single-precision complex floating-point numbers -int32: 32-bit two's complement signed integers -uint32: 32-bit unsigned integers -int16: 16-bit two's complement signed integers -uint16: 16-bit unsigned integers -int8: 8-bit two's complement signed integers -uint8: 8-bit unsigned integers -uint8c: 8-bit unsigned integers clamped to 0-255-generic: generic JavaScript values

By default, the output array data type is inferred from the provided array x. To return an array having a different data type, provide a dtype argument.

`javascript var x = [ 0, 0 ];

var arr = zerosLike( x, 'int32' ); // returns [ 0, 0 ]`

`Examples`

`javascript var dtypes = require( '@stdlib/array-dtypes' ); var zeros = require( '@stdlib/array-zeros' ); var zerosLike = require( '@stdlib/array-zeros-like' );

// Create a zero-filled array: var x = zeros( 4, 'complex128' );

// Get a list of array data types: var dt = dtypes();

// Generate additional zero-filled arrays... var y; var i; for ( i = 0; i < dt.length; i++ ) { y = zerosLike( x, dt[ i ] ); console.log( y ); }`

*

`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`

[npm-image]: http://img.shields.io/npm/v/@stdlib/array-zeros-like.svg [npm-url]: https://npmjs.org/package/@stdlib/array-zeros-like

[test-image]: https://github.com/stdlib-js/array-zeros-like/actions/workflows/test.yml/badge.svg?branch=v0.2.3 [test-url]: https://github.com/stdlib-js/array-zeros-like/actions/workflows/test.yml?query=branch:v0.2.3

[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/array-zeros-like/main.svg [coverage-url]: https://codecov.io/github/stdlib-js/array-zeros-like?branch=main

[chat-image]: https://img.shields.io/badge/zulip-join_chat-brightgreen.svg [chat-url]: https://stdlib.zulipchat.com

[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/array-zeros-like/tree/deno [deno-readme]: https://github.com/stdlib-js/array-zeros-like/blob/deno/README.md [umd-url]: https://github.com/stdlib-js/array-zeros-like/tree/umd [umd-readme]: https://github.com/stdlib-js/array-zeros-like/blob/umd/README.md [esm-url]: https://github.com/stdlib-js/array-zeros-like/tree/esm [esm-readme]: https://github.com/stdlib-js/array-zeros-like/blob/esm/README.md [branches-url]: https://github.com/stdlib-js/array-zeros-like/blob/main/branches.md

[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/array-zeros-like/main/LICENSE

[@stdlib/array/empty-like]: https://www.npmjs.com/package/@stdlib/array-empty-like

[@stdlib/array/full-like]: https://www.npmjs.com/package/@stdlib/array-full-like

[@stdlib/array/nans-like]: https://www.npmjs.com/package/@stdlib/array-nans-like

[@stdlib/array/ones-like]: https://www.npmjs.com/package/@stdlib/array-ones-like

[@stdlib/array/zeros]: https://www.npmjs.com/package/@stdlib/array-zeros

[@stdlib/ndarray/zeros-like]: https://www.npmjs.com/package/@stdlib/ndarray-zeros-like


  
    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!

`zerosLike`

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

> Create a zero-filled array having the same length and data type as a provided array.

`Installation`

``bash npm install @stdlib/array-zeros-like `

`Usage`

`javascript var zerosLike = require( '@stdlib/array-zeros-like' ); `

#### zerosLike( x\[, dtype] )

Creates a zero-filled array having the same length and data type as a provided array x.

`javascript var x = [ 1, 2, 3, 4, 5 ];

var arr = zerosLike( x ); // returns [ 0, 0, 0, 0, 0 ] `

The function supports the following data types:

- float64: double-precision floating-point numbers (IEEE 754) - float32: single-precision floating-point numbers (IEEE 754) - complex128: double-precision complex floating-point numbers - complex64: single-precision complex floating-point numbers - int32: 32-bit two's complement signed integers - uint32: 32-bit unsigned integers - int16: 16-bit two's complement signed integers - uint16: 16-bit unsigned integers - int8: 8-bit two's complement signed integers - uint8: 8-bit unsigned integers - uint8c: 8-bit unsigned integers clamped to 0-255 - generic: generic JavaScript values

By default, the output array data type is inferred from the provided array x. To return an array having a different data type, provide a dtype argument.

`javascript var x = [ 0, 0 ];

var arr = zerosLike( x, 'int32' ); // returns [ 0, 0 ] `

`Examples`

`javascript var dtypes = require( '@stdlib/array-dtypes' ); var zeros = require( '@stdlib/array-zeros' ); var zerosLike = require( '@stdlib/array-zeros-like' );

// Create a zero-filled array: var x = zeros( 4, 'complex128' );

// Get a list of array data types: var dt = dtypes();

// Generate additional zero-filled arrays... var y; var i; for ( i = 0; i < dt.length; i++ ) { y = zerosLike( x, dt[ i ] ); console.log( y ); } `