0.2.1 • Published 3 months ago

@stdlib/array-base-mskreject v0.2.1

Weekly downloads
-
License
Apache-2.0
Repository
github
Last release
3 months ago

mskreject

NPM version Build Status Coverage Status

Apply a mask to a provided input array.

Installation

npm install @stdlib/array-base-mskreject

Usage

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

mskreject( x, mask )

Returns a new array by applying a mask to a provided input array.

var x = [ 1, 2, 3, 4 ];

var y = mskreject( x, [ 0, 1, 0, 1 ] );
// returns [ 1, 3 ]

The function supports the following parameters:

  • x: input array.
  • mask: mask array.

The function always returns a new "generic" array.

mskreject.assign( x, mask, out, stride, offset )

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 = [ 1, 0, 1, 0 ];

var out = [ 0, 0, 0, 0 ];

var arr = mskreject.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.

Notes

  • If a mask array element is falsy, the corresponding element in x is included in the output array; otherwise, the corresponding element in x is "masked" and thus excluded from the output array.

Examples

var zeroTo = require( '@stdlib/array-base-zero-to' );
var bernoulli = require( '@stdlib/random-array-bernoulli' );
var mskreject = require( '@stdlib/array-base-mskreject' );

// 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 = mskreject( x, mask );
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

Chat


License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.