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Test if a value is a 1-dimensional ndarray-like object.
To use in Observable,
isVectorLike = require( 'https://cdn.jsdelivr.net/gh/stdlib-js/assert-is-vector-like@umd/browser.js' )To vendor stdlib functionality and avoid installing dependency trees for Node.js, you can use the UMD server build:
var isVectorLike = require( 'path/to/vendor/umd/assert-is-vector-like/index.js' )To include the bundle in a webpage,
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/assert-is-vector-like@umd/browser.js"></script>If no recognized module system is present, access bundle contents via the global scope:
<script type="text/javascript">
(function () {
window.isVectorLike;
})();
</script>Tests if a value is a 1-dimensional ndarray-like object.
var ndarray = require( '@stdlib/ndarray-ctor' );
var arr = ndarray( 'generic', [ 0, 0, 0, 0 ], [ 4 ], [ 1 ], 0, 'row-major' );
var bool = isVectorLike( arr );
// returns true<!DOCTYPE html>
<html lang="en">
<body>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-ctor@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/assert-is-vector-like@umd/browser.js"></script>
<script type="text/javascript">
(function () {
var arr = ndarray( 'generic', [ 0, 0, 0, 0 ], [ 4 ], [ 1 ], 0, 'row-major' );
var out = isVectorLike( arr );
// returns true
out = isVectorLike( [ 1, 2, 3, 4 ] );
// returns false
out = isVectorLike( {} );
// returns false
out = isVectorLike( null );
// returns false
})();
</script>
</body>
</html>@stdlib/assert-is-array: test if a value is an array.@stdlib/assert-is-array-like: test if a value is array-like.@stdlib/assert-is-matrix-like: test if a value is a 2-dimensional ndarray-like object.@stdlib/assert-is-ndarray-like: test if a value is ndarray-like.@stdlib/assert-is-typed-array-like: test if a value is typed-array-like.
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 © 2016-2024. The Stdlib Authors.
