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Create an ndarray filled with a specified value and having a specified shape and data type.
npm install @stdlib/ndarray-base-fullAlternatively,
- To load the package in a website via a
scripttag without installation and bundlers, use the ES Module available on theesmbranch (see README). - If you are using Deno, visit the
denobranch (see README for usage intructions). - For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the
umdbranch (see README).
The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.
To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.
var full = require( '@stdlib/ndarray-base-full' );Returns an ndarray filled with a specified value and having a specified shape and data type.
var getShape = require( '@stdlib/ndarray-shape' );
var getDType = require( '@stdlib/ndarray-dtype' );
var arr = full( 10.0, 'float64', [ 2, 2 ], 'row-major' );
// returns <ndarray>[ [ 10.0, 10.0 ], [ 10.0, 10.0 ] ]
var sh = getShape( arr );
// returns [ 2, 2 ]
var dt = String( getDType( arr ) );
// returns 'float64'This function accepts the following arguments:
- If
valueis a number anddtypeis a complex data type, the function casts the number to a complex number whose real component equals the provided scalarvalueand whose imaginary component is zero. - A
valuemust be able to safely cast to the output ndarray data type. Scalar values having floating-point data types (both real and complex) are allowed to downcast to a lower precision data type of the same kind (e.g., a scalar double-precision floating-point number can be used to fill a'float32'output ndarray).
var dtypes = require( '@stdlib/ndarray-dtypes' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var full = require( '@stdlib/ndarray-base-full' );
// Get a list of data types:
var dt = dtypes( 'integer_and_generic' );
// Generate initialized arrays...
var arr;
var i;
for ( i = 0; i < dt.length; i++ ) {
arr = full( 10, dt[ i ], [ 2, 2 ], 'row-major' );
console.log( ndarray2array( arr ) );
}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.
See LICENSE.
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