@stdlib/array-base-take2d
v0.2.2
Published
Take elements from a two-dimensional nested array.
Downloads
7
Readme
take2d
Take elements from a two-dimensional nested array.
Installation
npm install @stdlib/array-base-take2d
Usage
var take2d = require( '@stdlib/array-base-take2d' );
take2d( x, indices, dimension, mode )
Takes elements along a specified dimension
from a two-dimensional nested array according to a specified index mode
.
var x = [ [ 1, 2 ], [ 3, 4 ] ];
var indices = [ 1, 1, 0, 0, -1, -1 ];
var y = take2d( x, indices, 1, 'normalize' );
// returns [ [ 2, 2, 1, 1, 2, 2 ], [ 4, 4, 3, 3, 4, 4 ] ]
The function accepts the following arguments:
- x: input nested array.
- indices: list of indices.
- dimension: dimension along which to take elements. If provided a negative integer, the dimension is resolved relative to the last dimension, with the last dimension being
-1
. - mode: index mode specifying how to handle an index which is out-of-bounds.
If indices
is an empty array, the function returns empty arrays along the specified dimension
.
var x = [ [ 1, 2 ], [ 3, 4 ] ];
var y = take2d( x, [], 1, 'throw' );
// returns [ [], [] ]
var z = take2d( x, [], 0, 'throw' );
// returns []
Notes
- The function does not deep copy nested array elements.
Examples
var filled2dBy = require( '@stdlib/array-base-filled2d-by' );
var filledBy = require( '@stdlib/array-base-filled-by' );
var discreteUniform = require( '@stdlib/random-base-discrete-uniform' );
var take2d = require( '@stdlib/array-base-take2d' );
// Generate a random array:
var shape = [ 5, 5 ];
var x = filled2dBy( shape, discreteUniform.factory( 0, 100 ) );
console.log( x );
// Generate an array of random indices:
var N = discreteUniform( 5, 15 );
var indices = filledBy( N, discreteUniform.factory( 0, shape[1]-1 ) );
console.log( indices );
// Take a random sample of elements from `x`:
var y = take2d( x, indices, 1, 'throw' );
console.log( y );
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.