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Apply a mask to a provided input array.
npm install @stdlib/array-mskfilter
var mskfilter = require( '@stdlib/array-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.
- 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. - If provided an input array having a recognized data type, the function returns an array having the same data type as the input array. Otherwise, the function always returns a "generic" array.
var zeroTo = require( '@stdlib/array-zero-to' );
var bernoulli = require( '@stdlib/random-array-bernoulli' );
var mskfilter = require( '@stdlib/array-mskfilter' );
// Generate a linearly spaced array:
var x = zeroTo( 20, 'generic' );
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 );
-
@stdlib/array-mskreject
: apply a mask to a provided input array.
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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