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@stdlib/array-base-unitspace

v0.2.1

Published

Generate a linearly spaced numeric array whose elements increment by 1.

Downloads

85

Readme

unitspace

NPM version Build Status Coverage Status

Generate a linearly spaced numeric array whose elements increment by 1.

Installation

npm install @stdlib/array-base-unitspace

Usage

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

unitspace( start, stop )

Generates a linearly spaced numeric array whose elements increment by 1.

var arr = unitspace( 0, 6 );
// returns [ 0, 1, 2, 3, 4, 5 ]

Notes

  • The output array is guaranteed to include the start value but does not include the stop value. Beware that values subsequent to the start value are subject to floating-point errors. Hence,

    var arr = unitspace( -0.7, 1 );
    // returns [ -0.7, ~0.3 ]

    where arr[1] is only guaranteed to be approximately equal to 0.3.

    If you desire more control over element precision, consider using roundn:

    var roundn = require( '@stdlib/math-base-special-roundn' );
    
    // Create an array subject to floating-point errors:
    var arr = unitspace( -10.7, 11.7 );
    
    // Round each value to the nearest hundredth:
    var i;
    for ( i = 0; i < arr.length; i++ ) {
        arr[ i ] = roundn( arr[ i ], -2 );
    }
    
    console.log( arr.join( '\n' ) );

Examples

var sort2hp = require( '@stdlib/blas-ext-base-gsort2hp' );
var filledBy = require( '@stdlib/array-base-filled-by' );
var randu = require( '@stdlib/random-base-randu' );
var unitspace = require( '@stdlib/array-base-unitspace' );

// Generate an array of random numbers:
var x = filledBy( 10, randu );

// Generate an array of indices:
var idx = unitspace( 0, x.length );

// Create a temporary array to avoid mutation:
var tmp = x.slice();

// Sort the index array according to the sort order of `x`:
sort2hp( x.length, 1, tmp, 1, idx, 1 );

console.log( x );
console.log( idx );

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

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License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.