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map3d

Apply a function to elements in a three-dimensional nested input array and assign results to elements in a new three-dimensional nested output array.

Installation

npm install @stdlib/array-base-map3d

Alternatively,

• To load the package in a website via a script tag without installation and bundlers, use the ES Module available on the esm branch (see README).
• If you are using Deno, visit the deno branch (see README for usage intructions).
• For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the umd branch (see README).

The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.

To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.

Usage

var map3d = require( '@stdlib/array-base-map3d' );

map3d( x, shape, fcn[, thisArg] )

Applies a function to elements in a three-dimensional nested input array and assigns results to elements in a new three-dimensional nested output array.

var naryFunction = require( '@stdlib/utils-nary-function' );
var abs = require( '@stdlib/math-base-special-abs' );

var x = [ [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ] ];
var shape = [ 1, 2, 2 ];

var y = map3d( x, shape, naryFunction( abs, 1 ) );
// returns [ [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] ]

The function accepts the following arguments:

• x: input nested array.
• shape: array shape.
• fcn: function to apply.
• thisArg: applied function execution context (optional).

To set the applied function's execution context, provide a thisArg.

function fcn( x ) {
    this.count += 1;
    return x;
}

var x = [ [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] ];
var shape = [ 1, 2, 2 ];

var ctx = {
    'count': 0
};

var y = map3d( x, shape, fcn, ctx );
// returns [ [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] ]

var v = ctx.count;
// returns 4

map3d.assign( x, y, shape, fcn[, thisArg] )

Applies a function to elements in a three-dimensional nested input array and assigns results to elements in a three-dimensional nested output array.

var naryFunction = require( '@stdlib/utils-nary-function' );
var zeros3d = require( '@stdlib/array-base-zeros3d' );
var abs = require( '@stdlib/math-base-special-abs' );

var x = [ [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ] ];
var shape = [ 1, 2, 2 ];

var y = zeros3d( shape );

var out = map3d.assign( x, y, shape, naryFunction( abs, 1 ) );
// returns [ [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] ]

var bool = ( out === y );
// returns true

The function accepts the following arguments:

• x: input nested array.
• y: output nested array.
• shape: array shape.
• fcn: function to apply.
• thisArg: applied function execution context (optional).

The function assumes that the input and output arrays have the same shape.

Examples

var discreteUniform = require( '@stdlib/random-base-discrete-uniform' ).factory;
var filled3dBy = require( '@stdlib/array-base-filled3d-by' );
var naryFunction = require( '@stdlib/utils-nary-function' );
var abs = require( '@stdlib/math-base-special-abs' );
var map3d = require( '@stdlib/array-base-map3d' );

var shape = [ 3, 3, 3 ];

var x = filled3dBy( shape, discreteUniform( -100, 100 ) );
console.log( x );

var y = map3d( x, shape, naryFunction( abs, 1 ) );
console.log( y );

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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

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License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.