Create a zero-filled array having the same length and data type as a provided array.
npm install @stdlib/array-zeros-like
Alternatively,
- To load the package in a website via a
script
tag without installation and bundlers, use the ES Module available on theesm
branch. - If you are using Deno, visit the
deno
branch. - For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the
umd
branch.
var zerosLike = require( '@stdlib/array-zeros-like' );
Creates a zero-filled array having the same length and data type as a provided array x
.
var x = [ 1, 2, 3, 4, 5 ];
var arr = zerosLike( x );
// returns [ 0, 0, 0, 0, 0 ]
The function supports the following data types:
float64
: double-precision floating-point numbers (IEEE 754)float32
: single-precision floating-point numbers (IEEE 754)complex128
: double-precision complex floating-point numberscomplex64
: single-precision complex floating-point numbersint32
: 32-bit two's complement signed integersuint32
: 32-bit unsigned integersint16
: 16-bit two's complement signed integersuint16
: 16-bit unsigned integersint8
: 8-bit two's complement signed integersuint8
: 8-bit unsigned integersuint8c
: 8-bit unsigned integers clamped to0-255
generic
: generic JavaScript values
By default, the output array data type is inferred from the provided array x
. To return an array having a different data type, provide a dtype
argument.
var x = [ 0, 0 ];
var arr = zerosLike( x, 'int32' );
// returns <Int32Array>[ 0, 0 ]
var dtypes = require( '@stdlib/array-dtypes' );
var zeros = require( '@stdlib/array-zeros' );
var zerosLike = require( '@stdlib/array-zeros-like' );
// Create a zero-filled array:
var x = zeros( 4, 'complex128' );
// Get a list of array data types:
var dt = dtypes();
// Generate additional zero-filled arrays...
var y;
var i;
for ( i = 0; i < dt.length; i++ ) {
y = zerosLike( x, dt[ i ] );
console.log( y );
}
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 © 2016-2022. The Stdlib Authors.