Test if a value is an array-like object containing only NaN values.
npm install @stdlib/assert-is-nan-arrayAlternatively,
- To load the package in a website via a
scripttag without installation and bundlers, use the ES Module available on theesmbranch. - If you are using Deno, visit the
denobranch. - For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the
umdbranch.
The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.
var isNaNArray = require( '@stdlib/assert-is-nan-array' );Tests if a value is an array-like object containing only NaN values.
var bool = isNaNArray( [ NaN, NaN, NaN ] ); // returns true bool = isNaNArray( [ NaN, 2 ] ); // returns falseTests if a value is an array-like object containing only primitive NaN values.
var Number = require( '@stdlib/number-ctor' ); var bool = isNaNArray.primitives( [ NaN, NaN, NaN ] ); // returns true bool = isNaNArray.primitives( [ NaN, new Number( NaN ) ] ); // returns falseTests if a value is an array-like object containing only object NaN values.
var Number = require( '@stdlib/number-ctor' ); var bool = isNaNArray.objects( [ new Number( NaN ), new Number( NaN ) ] ); // returns true bool = isNaNArray.objects( [ NaN, new Number( NaN ) ] ); // returns false bool = isNaNArray.objects( [ NaN, NaN, NaN ] ); // returns falsevar Number = require( '@stdlib/number-ctor' ); var Float64Array = require( '@stdlib/array-float64' ); var isNaNArray = require( '@stdlib/assert-is-nan-array' ); var bool = isNaNArray( [ NaN ] ); // returns true bool = isNaNArray( [ NaN, NaN, NaN ] ); // returns true bool = isNaNArray( [ new Number( NaN ), NaN, NaN ] ); // returns true bool = isNaNArray( new Float64Array( [ NaN, NaN ] ) ); // returns true bool = isNaNArray( NaN ); // returns false bool = isNaNArray( [ 'a', 'b', 'c' ] ); // returns false bool = isNaNArray( [ 'a', NaN ] ); // returns false@stdlib/assert-is-nan: test if a value is NaN.
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.
Copyright © 2016-2023. The Stdlib Authors.
