@stdlib/array-base-linspace2d
v0.1.1
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Generate a linearly spaced two-dimensional nested numeric array.
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linspace2d
Generate a linearly spaced two-dimensional nested numeric array.
Installation
npm install @stdlib/array-base-linspace2dUsage
var linspace2d = require( '@stdlib/array-base-linspace2d' );linspace2d( start, stop, shape, colexicographic )
Generates a linearly spaced two-dimensional nested numeric array.
var x = linspace2d( 0, 100, [ 2, 3 ], false );
// returns [ [ 0, 20, 40 ], [ 60, 80, 100 ] ]
x = linspace2d( 0, 100, [ 2, 3 ], true );
// returns [ [ 0, 40, 80 ], [ 20, 60, 100 ] ]The function accepts the following arguments:
- start: first array value.
- stop: last array value.
- shape: array shape.
- colexicographic: specifies whether generated array values should be stored in colexicographic order.
Notes
The output array is guaranteed to include the
startandstopvalues. Beware, however, that values betweenstartandstopare subject to floating-point rounding errors. Hence,var arr = linspace2d( 0, 1, [ 1, 3 ], false ); // returns [ [ 0, ~0.5, 1 ] ]where
arr[0][1]is only guaranteed to be approximately equal to0.5. If you desire more control over element precision, consider usingroundn:var roundn = require( '@stdlib/math-base-special-roundn' ); var map2d = require( '@stdlib/array-base-map2d' ); var arr = linspace2d( 0, 1, [ 1, 3 ], false ); // returns [ [ 0, ~0.5, 1 ] ] // Round each value to the nearest tenth: var out = map2d( arr, [ 1, 3 ], clbk ); // returns [ [ 0, 0.5, 1 ] ] function clbk( v ) { return roundn( v, -1 ); }
Examples
var linspace2d = require( '@stdlib/array-base-linspace2d' );
var out = linspace2d( 0, 10, [ 2, 5 ], false );
console.log( out );
out = linspace2d( 0, 10, [ 2, 3 ], true );
console.log( out );
out = linspace2d( 0, 10, [ 4, 2 ], true );
console.log( out );
// Create an array of arrays with decremented values:
out = linspace2d( 10, 0, [ 2, 5 ], false );
console.log( out );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 © 2016-2026. The Stdlib Authors.
