zeros

Create a zero-filled array having a specified length.

Installation

npm install @stdlib/array-zeros

Usage

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

zeros( length[, dtype] )

Creates a zero-filled array having a specified length.

var arr = zeros( 2 );
// returns <Float64Array>[ 0.0, 0.0 ]

The function recognizes 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 float64 (i.e., a typed array). To specify an alternative data type, provide a dtype argument.

var arr = zeros( 2, 'int32' );
// returns <Int32Array>[ 0, 0 ]

Examples

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

// Get a list of array data types:
var dt = dtypes();

// Generate zero-filled arrays...
var arr;
var i;
for ( i = 0; i < dt.length; i++ ) {
    arr = zeros( 4, dt[ i ] );
    console.log( arr );
}

See Also

• @stdlib/array-empty: create an uninitialized array having a specified length.
• @stdlib/array-full: create a filled array having a specified length.
• @stdlib/array-nans: create an array filled with NaNs and having a specified length.
• @stdlib/array-ones: create an array filled with ones and having a specified length.
• @stdlib/array-zeros-like: create a zero-filled array having the same length and data type as a provided array.
• @stdlib/ndarray-zeros: create a zero-filled ndarray having a specified shape and data type.

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.

Community

License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.