slice

Return a shallow copy of a portion of an array.

Installation

npm install @stdlib/array-slice

Usage

var slice = require( '@stdlib/array-slice' );

slice( x[, start[, end]] )

Returns a shallow copy of a portion of an array.

var x = [ 1, 2, 3, 4, 5, 6 ];

var out = slice( x );
// returns [ 1, 2, 3, 4, 5, 6 ]

var bool = ( out === x );
// returns false

The function accepts the following arguments:

• x: input array.
• start: starting index (inclusive). Default: 0.
• end: ending index (exclusive). Default: x.length.

By default, the function returns a shallow copy beginning from the first element of the provided input array. To begin copying from an alternative element, provide a starting index (inclusive).

var x = [ 1, 2, 3, 4, 5, 6 ];

var out = slice( x, 2 );
// returns [ 3, 4, 5, 6 ]

By default, the function copies through the end of the provided input array. To copy up until a specific element, provide an ending index (exclusive).

var x = [ 1, 2, 3, 4, 5, 6 ];

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

Notes

• If provided an array-like object having a slice method, the function defers execution to that method and assumes that the method API has the following signature:

  x.slice( start, end )

• If provided an array-like object without a slice method, the function copies input array elements to a new generic array.

Examples

var Float64Array = require( '@stdlib/array-float64' );
var zeroTo = require( '@stdlib/array-zero-to' );
var slice = require( '@stdlib/array-slice' );

var x = zeroTo( 6, 'float64' );
// returns <Float64Array>[ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0 ]

var s = slice( x );
// returns <Float64Array>[ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0 ]

s = slice( x, 0, 4 );
// returns <Float64Array>[ 0.0, 1.0, 2.0, 3.0 ]

s = slice( x, 2 );
// returns <Float64Array>[ 2.0, 3.0, 4.0, 5.0 ]

s = slice( x, 2, 4 );
// returns <Float64Array>[ 2.0, 3.0 ]

See Also

• @stdlib/array-take: take elements from an array.

Notice

This package is part of 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, see the main project repository.

Community

License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.