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Create an uninitialized ndarray having a specified shape and data type.
npm install @stdlib/ndarray-base-emptyAlternatively,
- To load the package in a website via a
scripttag without installation and bundlers, use the ES Module available on theesmbranch (see README). - If you are using Deno, visit the
denobranch (see README for usage intructions). - For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the
umdbranch (see README).
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To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.
var empty = require( '@stdlib/ndarray-base-empty' );Creates an uninitialized ndarray having a specified shape and data type.
var arr = empty( 'float64', [ 2, 2 ], 'row-major' );
// returns <ndarray>
var sh = arr.shape;
// returns [ 2, 2 ]
var dt = arr.dtype;
// returns 'float64'The function accepts the following arguments:
- If
dtypeis'generic', the function always returns a zero-filled array. - For returned ndarrays whose underlying memory is not initialized, memory contents are unknown and may contain sensitive data.
var dtypes = require( '@stdlib/ndarray-dtypes' );
var empty = require( '@stdlib/ndarray-base-empty' );
// Get a list of data types:
var dt = dtypes();
// Generate uninitialized arrays...
var arr;
var i;
for ( i = 0; i < dt.length; i++ ) {
arr = empty( dt[ i ], [ 2, 2 ], 'row-major' );
console.log( arr.data );
}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.
