npm package: @stdlib/ndarray-zeros-like
Description: Create a zero-filled ndarray having the same shape and data type as a provided ndarray.
Author: The Stdlib Authors
Latest version: 0.3.2

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  <summary>
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# zerosLike

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

> Create a zero-filled [ndarray][@stdlib/ndarray/ctor] having the same shape and [data type][@stdlib/ndarray/dtypes] as a provided ndarray.

<!-- 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-zeros-like
```

</section>

<section class="usage">

## Usage

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

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

Creates a zero-filled [ndarray][@stdlib/ndarray/ctor] having the same shape and [data type][@stdlib/ndarray/dtypes] as a provided ndarray.

```javascript
var zeros = require( '@stdlib/ndarray-zeros' );

var x = zeros( [ 2, 2 ] );
// returns <ndarray>

var y = zerosLike( x );
// returns <ndarray>

var sh = y.shape;
// returns [ 2, 2 ]

var dt = y.dtype;
// returns 'float64'
```

The function supports the following `options`:

-   **dtype**: output [ndarray][@stdlib/ndarray/ctor] [data type][@stdlib/ndarray/dtypes]. Must be a numeric [data type][@stdlib/ndarray/dtypes] or "generic". Overrides the input ndarray's inferred [data type][@stdlib/ndarray/dtypes].
-   **shape**: output [ndarray][@stdlib/ndarray/ctor] shape. Overrides the input ndarray's inferred shape.
-   **order**: specifies whether the output [ndarray][@stdlib/ndarray/ctor] should be `'row-major'` (C-style) or `'column-major'` (Fortran-style). Overrides the input ndarray's inferred order.
-   **mode**: specifies how to handle indices which exceed array dimensions (see [`ndarray`][@stdlib/ndarray/ctor]). Default: `'throw'`.
-   **submode**: a mode array which specifies for each dimension how to handle subscripts which exceed array dimensions  (see [`ndarray`][@stdlib/ndarray/ctor]). If provided fewer modes than dimensions, the constructor recycles modes using modulo arithmetic. Default: `[ options.mode ]`.
-   **readonly**: `boolean` indicating whether an array should be **read-only**. Default: `false`.

To override either the `dtype`, `shape`, or `order`, specify the corresponding option. For example, to override the inferred [data type][@stdlib/ndarray/dtypes],

```javascript
var zeros = require( '@stdlib/ndarray-zeros' );

var x = zeros( [ 2, 2 ] );
// returns <ndarray>

var dt = x.dtype;
// returns 'float64'

var y = zerosLike( x, {
    'dtype': 'int32'
});
// returns <ndarray>

var sh = y.shape;
// returns [ 2, 2 ]

dt = y.dtype;
// returns 'int32'
```

</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">

</section>

<!-- /.notes -->

<!-- Package usage examples. -->

<section class="examples">

## Examples

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

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

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

// Generate zero-filled arrays...
var x;
var y;
var i;
for ( i = 0; i < dt.length; i++ ) {
    x = zeros( [ 2, 2 ], {
        'dtype': dt[ i ]
    });
    y = zerosLike( x );
    console.log( y.data );
}
```

</section>

<!-- /.examples -->

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<section class="references">

</section>

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<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->

<section class="related">

* * *

## See Also

-   <span class="package-name">[`@stdlib/ndarray-empty-like`][@stdlib/ndarray/empty-like]</span><span class="delimiter">: </span><span class="description">create an uninitialized ndarray having the same shape and data type as a provided ndarray.</span>
-   <span class="package-name">[`@stdlib/ndarray-zeros`][@stdlib/ndarray/zeros]</span><span class="delimiter">: </span><span class="description">create a zero-filled ndarray having a specified shape and data type.</span>

</section>

<!-- /.related -->

<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->


<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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[stdlib]: https://github.com/stdlib-js/stdlib

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[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/ndarray-zeros-like/tree/deno
[deno-readme]: https://github.com/stdlib-js/ndarray-zeros-like/blob/deno/README.md
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[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/ndarray-zeros-like/main/LICENSE

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

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

<!-- <related-links> -->

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

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

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</section>

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