npm package: @stdlib/ndarray-vector-ctor
Description: Create a vector (i.e., a one-dimensional ndarray).
Author: The Stdlib Authors
Latest version: 0.1.1

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# Vector

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> Create a vector (i.e., a one-dimensional [ndarray][@stdlib/ndarray/ctor]).

<!-- 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-vector-ctor
```

</section>

<section class="usage">

## Usage

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

#### vector( \[dtype]\[, options] )

Returns a one-dimensional [ndarray][@stdlib/ndarray/ctor] having a specified [data type][@stdlib/ndarray/dtypes].

```javascript
var getDType = require( '@stdlib/ndarray-dtype' );
var numel = require( '@stdlib/ndarray-numel' );

var arr = vector();
// returns <ndarray>

var len = numel( arr );
// returns 0

var dt = getDType( arr );
// returns 'float64'
```

By default, the function returns an [ndarray][@stdlib/ndarray/ctor] having a [`float64`][@stdlib/ndarray/dtypes] data type. To specify an alternative [data type][@stdlib/ndarray/dtypes], provide a `dtype` argument.

```javascript
var getDType = require( '@stdlib/ndarray-dtype' );
var numel = require( '@stdlib/ndarray-numel' );

var arr = vector( 'int32' );
// returns <ndarray>

var len = numel( arr );
// returns 0

var dt = getDType( arr );
// returns 'int32'
```

The function accepts the following options:

-   **order**: specifies whether an [ndarray][@stdlib/ndarray/ctor] is `'row-major'` (C-style) or `'column-major'` (Fortran-style). Default: `'row-major'`.
-   **mode**: specifies how to handle indices which exceed array dimensions (see [`ndarray`][@stdlib/ndarray/ctor]). Default: `'throw'`.
-   **readonly**: boolean indicating whether an array should be **read-only**. Default: `false`.

#### vector( length\[, dtype]\[, options] )

Returns a one-dimensional [ndarray][@stdlib/ndarray/ctor] having a specified `length`.

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

var arr1 = vector( 5 );
// returns <ndarray>

var len1 = numel( arr1 );
// returns 5

var arr2 = vector( 5, 'uint8' );
// returns <ndarray>

var len2 = numel( arr2 );
// returns 5
```

#### vector( obj\[, dtype]\[, options] )

Creates a one-dimensional [ndarray][@stdlib/ndarray/ctor] from an array-like object or iterable.

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

var arr1 = vector( [ 0.5, 0.5, 0.5 ] );
// returns <ndarray>

var len1 = numel( arr1 );
// returns 3

var arr2 = vector( [ 0.5, 0.5, 0.5 ], 'float32' );
// returns <ndarray>

var len2 = numel( arr2 );
// returns 3
```

#### vector( buffer\[, byteOffset\[, length]]\[, dtype]\[, options] )

Returns a one-dimensional [ndarray][@stdlib/ndarray/ctor] view of an [`ArrayBuffer`][@stdlib/array/buffer].

```javascript
var ArrayBuffer = require( '@stdlib/array-buffer' );
var getDType = require( '@stdlib/ndarray-dtype' );
var numel = require( '@stdlib/ndarray-numel' );

var buf = new ArrayBuffer( 32 );

var arr1 = vector( buf );
// returns <ndarray>

var len1 = numel( arr1 );
// returns 4

var dt1 = getDType( arr1 );
// returns 'float64'

var arr2 = vector( buf, 'float32' );
// returns <ndarray>

var len2 = numel( arr2 );
// returns 8

var dt2 = getDType( arr2 );
// returns 'float32'

var arr3 = vector( buf, 16 );
// returns <ndarray>

var len3 = numel( arr3 );
// returns 2

var dt3 = getDType( arr3 );
// returns 'float64'

var arr4 = vector( buf, 16, 'float32' );
// returns <ndarray>

var len4 = numel( arr4 );
// returns 4

var dt4 = getDType( arr4 );
// returns 'float32'

var arr5 = vector( buf, 16, 1 );
// returns <ndarray>

var len5 = numel( arr5 );
// returns 1

var dt5 = getDType( arr5 );
// returns 'float64'

var arr6 = vector( buf, 10, 4, 'int16' );
// returns <ndarray>

var len6 = numel( arr6 );
// returns 4

var dt6 = getDType( arr6 );
// returns 'int16'
```

#### vector.factory( dtype\[, options] )

Returns a function for creating a one-dimensional [ndarray][@stdlib/ndarray/ctor].

```javascript
var getDType = require( '@stdlib/ndarray-dtype' );
var numel = require( '@stdlib/ndarray-numel' );

var Float32Vector = vector.factory( 'float32' );

var arr = new Float32Vector( [ 1, 2, 3 ] );
// returns <ndarray>

var dt = getDType( arr );
// returns 'float32'

var len = numel( arr );
// returns 3
```

The function supports the following parameters:

-   **dtype**: [data type][@stdlib/ndarray/dtypes].
-   **options**: function options (_optional_).

The function accepts the following options:

-   **order**: specifies whether the default memory layout for a returned [ndarray][@stdlib/ndarray/ctor] should be `'row-major'` (C-style) or `'column-major'` (Fortran-style). Default: `'row-major'`.
-   **mode**: specifies the default behavior when handling indices which exceed array dimensions (see [`ndarray`][@stdlib/ndarray/ctor]). Default: `'throw'`.
-   **readonly**: boolean indicating whether to return a **read-only** [ndarray][@stdlib/ndarray/ctor] by default. Default: `false`.

The function returned by the `factory` method supports the same arguments and options as `vector` above, except for the `dtype` argument, as the returned function always returns a one-dimensional [ndarray][@stdlib/ndarray/ctor] having the same [data type][@stdlib/ndarray/dtypes].

When providing options to the returned function, the provided option values override the defaults established during function creation.

</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 discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var cartesianProduct = require( '@stdlib/array-cartesian-product' );
var unzip = require( '@stdlib/utils-unzip' );
var dtypes = require( '@stdlib/ndarray-dtypes' );
var sum = require( '@stdlib/blas-ext-sum' );
var logEachMap = require( '@stdlib/console-log-each-map' );
var vector = require( '@stdlib/ndarray-vector-ctor' );

// Create an array of random array lengths:
var lens = discreteUniform( 10, 5, 15, {
    'dtype': 'int32'
});

// Resolve a list of supported ndarray real-valued data types:
var dts = dtypes( 'real_and_generic' );

// Create length-dtype pairs:
var pairs = cartesianProduct( lens, dts );

// Split the pairs into individual arguments:
var args = unzip( pairs );

// Define a callback to create a random vector and return the sum of all vector elements:
function clbk( len, dtype ) {
    var x = vector( discreteUniform( len, 0, 100 ), dtype );
    return sum( x ).get();
}

// Apply the callback and print the results:
logEachMap( 'len: %2d. dtype: %7s. sum: %d.', args[ 0 ], args[ 1 ], clbk );
```

</section>

<!-- /.examples -->

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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].

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---

## License

See [LICENSE][stdlib-license].


## Copyright

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

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