0.2.1 • Published 2 months ago

@stdlib/array-zeros-like v0.2.1

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License
Apache-2.0
Repository
github
Last release
2 months ago

zerosLike

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Create a zero-filled array having the same length and data type as a provided array.

Installation

npm install @stdlib/array-zeros-like

Usage

var zerosLike = require( '@stdlib/array-zeros-like' );

zerosLike( x[, dtype] )

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 numbers
  • complex64: single-precision complex floating-point numbers
  • int32: 32-bit two's complement signed integers
  • uint32: 32-bit unsigned integers
  • int16: 16-bit two's complement signed integers
  • uint16: 16-bit unsigned integers
  • int8: 8-bit two's complement signed integers
  • uint8: 8-bit unsigned integers
  • uint8c: 8-bit unsigned integers clamped to 0-255
  • 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 ]

Examples

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 );
}

See Also


Notice

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.

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License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.