@stdlib/array-base-mskfilter2
v0.1.1
Published
Apply a mask to two provided input arrays in a single pass.
Readme
mskfilter2
Apply a mask to two provided input arrays in a single pass.
Installation
npm install @stdlib/array-base-mskfilter2Usage
var mskfilter2 = require( '@stdlib/array-base-mskfilter2' );mskfilter2( x, y, mask )
Returns new arrays by applying a mask to two provided input arrays in a single pass.
var x = [ 1, 2, 3, 4 ];
var y = [ 0, 1, 2, 3 ];
var out = mskfilter2( x, y, [ 0, 1, 0, 1 ] );
// returns [ [ 2, 4 ], [ 1, 3 ] ]The function supports the following parameters:
- x: first input array.
- y: second input array.
- mask: mask array.
The function always returns new "generic" arrays.
Notes
- If a
maskarray element is truthy, the corresponding elements in the input arrays are included in the respective output arrays; otherwise, the corresponding elements in the input arrays are "masked" and thus excluded from the respective output arrays.
Examples
var zeroTo = require( '@stdlib/array-base-zero-to' );
var bernoulli = require( '@stdlib/random-array-bernoulli' );
var mskfilter2 = require( '@stdlib/array-base-mskfilter2' );
// Generate linearly spaced arrays:
var x = zeroTo( 20 );
console.log( x );
var y = zeroTo( x.length );
console.log( y );
// Generate a random mask:
var mask = bernoulli( x.length, 0.5, {
'dtype': 'generic'
});
console.log( mask );
// Filter both arrays using the mask:
var out = mskfilter2( x, y, mask );
console.log( out );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.
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License
See LICENSE.
Copyright
Copyright © 2016-2026. The Stdlib Authors.
