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Create a single-precision floating-point vector (i.e., a one-dimensional ndarray).
To use in Observable,
Float32Vector = require( 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-vector-float32@umd/browser.js' )To vendor stdlib functionality and avoid installing dependency trees for Node.js, you can use the UMD server build:
var Float32Vector = require( 'path/to/vendor/umd/ndarray-vector-float32/index.js' )To include the bundle in a webpage,
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-vector-float32@umd/browser.js"></script>If no recognized module system is present, access bundle contents via the global scope:
<script type="text/javascript">
(function () {
window.Float32Vector;
})();
</script>Returns a one-dimensional single-precision floating-point ndarray.
var numel = require( '@stdlib/ndarray-numel' );
var arr = new Float32Vector();
// returns <ndarray>
var len = numel( arr );
// returns 0The function accepts the following options:
- order: specifies whether an ndarray is
'row-major'(C-style) or'column-major'(Fortran-style). Default:'row-major'. - mode: specifies how to handle indices which exceed array dimensions (see
ndarray). Default:'throw'. - readonly: boolean indicating whether an array should be read-only. Default:
false.
Returns a one-dimensional single-precision floating-point ndarray having a specified length.
var numel = require( '@stdlib/ndarray-numel' );
var arr = new Float32Vector( 5 );
// returns <ndarray>
var len1 = numel( arr );
// returns 5Creates a one-dimensional single-precision floating-point ndarray from an array-like object or iterable.
var numel = require( '@stdlib/ndarray-numel' );
var arr = new Float32Vector( [ 1.0, 2.0, 3.0 ] );
// returns <ndarray>
var len1 = numel( arr );
// returns 3Returns a one-dimensional single-precision floating-point ndarray view of an ArrayBuffer.
var ArrayBuffer = require( '@stdlib/array-buffer' );
var numel = require( '@stdlib/ndarray-numel' );
var buf = new ArrayBuffer( 32 );
var arr1 = new Float32Vector( buf );
// returns <ndarray>
var len1 = numel( arr1 );
// returns 8
var arr2 = new Float32Vector( buf, 16 );
// returns <ndarray>
var len2 = numel( arr2 );
// returns 4
var arr3 = new Float32Vector( buf, 16, 1 );
// returns <ndarray>
var len3 = numel( arr3 );
// returns 1<!DOCTYPE html>
<html lang="en">
<body>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/random-array-discrete-uniform@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/blas-ext-sum@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-map@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-vector-float32@umd/browser.js"></script>
<script type="text/javascript">
(function () {
// Create a vector containing random values:
var x = new Float32Vector( discreteUniform( 10, 0, 100 ) );
// Compute the sum:
var v = sum( x );
console.log( v.get() );
// Define a function which applies a threshold to individual values:
function threshold( v ) {
return ( v > 10 ) ? v : 0;
}
// Apply threshold:
var y = map( x, threshold );
// Recompute the sum:
v = sum( y );
console.log( v.get() );
})();
</script>
</body>
</html>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 © 2016-2025. The Stdlib Authors.
