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Compute the cumulative sum of a one-dimensional ndarray.
To use in Observable,
gcusum = require( 'https://cdn.jsdelivr.net/gh/stdlib-js/blas-ext-base-ndarray-gcusum@umd/browser.js' )To vendor stdlib functionality and avoid installing dependency trees for Node.js, you can use the UMD server build:
var gcusum = require( 'path/to/vendor/umd/blas-ext-base-ndarray-gcusum/index.js' )To include the bundle in a webpage,
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/blas-ext-base-ndarray-gcusum@umd/browser.js"></script>If no recognized module system is present, access bundle contents via the global scope:
<script type="text/javascript">
(function () {
window.gcusum;
})();
</script>Computes the cumulative sum of a one-dimensional ndarray.
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var scalar2ndarray = require( '@stdlib/ndarray-base-from-scalar' );
var ndarray = require( '@stdlib/ndarray-base-ctor' );
var xbuf = [ 1.0, 3.0, 4.0, 2.0 ];
var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
var ybuf = [ 0.0, 0.0, 0.0, 0.0 ];
var y = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
var initial = scalar2ndarray( 0.0, 'generic', 'row-major' );
var v = gcusum( [ x, y, initial ] );
// returns <ndarray>
var bool = ( v === y );
// returns true
var arr = ndarray2array( v );
// returns [ 1.0, 4.0, 8.0, 10.0 ]The function has the following parameters:
- arrays: array-like object containing a one-dimensional input ndarray, a one-dimensional output ndarray, and a zero-dimensional ndarray containing the initial sum.
- If provided an empty one-dimensional input ndarray, the function returns the output ndarray unchanged.
<!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/ndarray-base-ctor@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-zeros-like@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-from-scalar@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-to-array@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/blas-ext-base-ndarray-gcusum@umd/browser.js"></script>
<script type="text/javascript">
(function () {
var xbuf = discreteUniform( 10, -50, 50, {
'dtype': 'generic'
});
var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
console.log( ndarray2array( x ) );
var y = zerosLike( x );
console.log( ndarray2array( y ) );
var initial = scalar2ndarray( 100.0, {
'dtype': 'generic'
});
var v = gcusum( [ x, y, initial ] );
console.log( ndarray2array( v ) );
})();
</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.
