npm package: @stdlib/ndarray-to-array
Description: Convert an ndarray to a generic array.
Author: The Stdlib Authors
Latest version: 0.2.2

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    About stdlib...
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# ndarray2array

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

> Convert an [ndarray][@stdlib/ndarray/ctor] to a generic array.

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<section class="intro">

</section>

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<section class="installation">

## Installation

```bash
npm install @stdlib/ndarray-to-array
```

</section>

<section class="usage">

## Usage

```javascript
var ndarray2array = require( '@stdlib/ndarray-to-array' );
```

#### ndarray2array( x )

Converts an [ndarray][@stdlib/ndarray/ctor] to a generic array (which may include nested arrays).

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

var buffer = [ 1, 2, 3, 4 ];
var shape = [ 2, 2 ];
var order = 'row-major';
var strides = [ 2, 1 ];
var offset = 0;

var x = ndarray( 'generic', buffer, shape, strides, offset, order );
// returns <ndarray>

var out = ndarray2array( x );
// returns [ [ 1, 2 ], [ 3, 4 ] ]
```

</section>

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<section class="notes">

</section>

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<!-- Package usage examples. -->

<section class="examples">

## Examples

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

```javascript
var shape2strides = require( '@stdlib/ndarray-base-shape2strides' );
var strides2offset = require( '@stdlib/ndarray-base-strides2offset' );
var discreteUniform = require( '@stdlib/random-base-discrete-uniform' );
var zeroTo = require( '@stdlib/array-base-zero-to' );
var ndarray = require( '@stdlib/ndarray-ctor' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );

// Create a data buffer:
var buffer = zeroTo( 27 );

// Specify array meta data:
var shape = [ 3, 3, 3 ];
var order = 'column-major';
var ndims = shape.length;

// Compute array meta data:
var strides = shape2strides( shape, order );
var offset = strides2offset( shape, strides );

// Print array information:
console.log( '' );
console.log( 'Dims: %s', shape.join( 'x' ) );

// Randomly flip strides and convert an ndarray to a nested array...
var arr;
var i;
var j;
for ( i = 0; i < 20; i++ ) {
    j = discreteUniform( 0, ndims-1 );
    strides[ j ] *= -1;
    offset = strides2offset( shape, strides );

    console.log( '' );
    console.log( 'Strides: %s', strides.join( ',' ) );
    console.log( 'Offset: %d', offset );

    arr = ndarray( 'generic', buffer, shape, strides, offset, order );
    console.log( JSON.stringify( ndarray2array( arr ) ) );
}
```

</section>

<!-- /.examples -->

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* * *

## See Also

-   <span class="package-name">[`@stdlib/ndarray-array`][@stdlib/ndarray/array]</span><span class="delimiter">: </span><span class="description">multidimensional arrays.</span>
-   <span class="package-name">[`@stdlib/ndarray-ctor`][@stdlib/ndarray/ctor]</span><span class="delimiter">: </span><span class="description">multidimensional array constructor.</span>
-   <span class="package-name">[`@stdlib/ndarray-to-json`][@stdlib/ndarray/to-json]</span><span class="delimiter">: </span><span class="description">serialize an ndarray as a JSON object.</span>

</section>

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* * *

## 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].

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

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