ones

Create an array filled with ones and having a specified length.

Installation

npm install @stdlib/array-ones

Usage

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

ones( length[, dtype] )

Creates an array filled with ones and having a specified length.

var arr = ones( 2 );
// returns <Float64Array>[ 1.0, 1.0 ]

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 = ones( 2, 'int32' );
// returns <Int32Array>[ 1, 1 ]

Notes

• For complex number arrays, each entry of the returned array has a real component equal to 1 and an imaginary component equal to 0.

Examples

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

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

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

See Also

• @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-like: create an array filled with ones and having the same length and data type as a provided array.
• @stdlib/array-zeros: create a zero-filled array having a specified length.

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.