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Apply a mask to a provided input array.
npm install @stdlib/array-base-mskfilter
Alternatively,
- To load the package in a website via a
script
tag without installation and bundlers, use the ES Module available on theesm
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).
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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.
var mskfilter = require( '@stdlib/array-base-mskfilter' );
Returns a new array by applying a mask to a provided input array.
var x = [ 1, 2, 3, 4 ];
var y = mskfilter( x, [ 0, 1, 0, 1 ] );
// returns [ 2, 4 ]
The function supports the following parameters:
- x: input array.
- mask: mask array.
The function always returns a new "generic" array.
Applies a mask to a provided input array and assigns unmasked values to elements in a provided output array.
var x = [ 1, 2, 3, 4 ];
var mask = [ 0, 1, 0, 1 ];
var out = [ 0, 0, 0, 0 ];
var arr = mskfilter.assign( x, mask, out, -2, out.length-1 );
// returns [ 0, 4, 0, 2 ]
var bool = ( arr === out );
// returns true
The function supports the following parameters:
- x: input array.
- mask: mask array.
- out: output array.
- stride: output array stride.
- offset: output array offset.
- If a
mask
array element is truthy, the corresponding element inx
is included in the output array; otherwise, the corresponding element inx
is "masked" and thus excluded from the output array.
var zeroTo = require( '@stdlib/array-base-zero-to' );
var bernoulli = require( '@stdlib/random-array-bernoulli' );
var mskfilter = require( '@stdlib/array-base-mskfilter' );
// Generate a linearly spaced array:
var x = zeroTo( 20 );
console.log( x );
// Generate a random mask:
var mask = bernoulli( x.length, 0.5, {
'dtype': 'generic'
});
console.log( mask );
// Filter an array using the mask:
var y = mskfilter( x, mask );
console.log( y );
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.
See LICENSE.
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