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Convert an ndarray to a generic array.
import ndarray2array from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-to-array@esm/index.mjs';Converts an ndarray to a generic array (which may include nested arrays).
import ndarray from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-ctor@esm/index.mjs';
var buffer = [ 1, 2, 3, 4 ];
var shape = [ 2, 2 ];
var order = 'row-major';
var strides = [ 2, 1 ];
var offset = 0;
var x = ndarray( 'generic', buffer, shape, strides, offset, order );
// returns <ndarray>
var out = ndarray2array( x );
// returns [ [ 1, 2 ], [ 3, 4 ] ]<!DOCTYPE html>
<html lang="en">
<body>
<script type="module">
import shape2strides from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-shape2strides@esm/index.mjs';
import strides2offset from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-strides2offset@esm/index.mjs';
import discreteUniform from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-base-discrete-uniform@esm/index.mjs';
import zeroTo from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-base-zero-to@esm/index.mjs';
import ndarray from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-ctor@esm/index.mjs';
import ndarray2array from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-to-array@esm/index.mjs';
// Create a data buffer:
var buffer = zeroTo( 27 );
// Specify array meta data:
var shape = [ 3, 3, 3 ];
var order = 'column-major';
var ndims = shape.length;
// Compute array meta data:
var strides = shape2strides( shape, order );
var offset = strides2offset( shape, strides );
// Print array information:
console.log( '' );
console.log( 'Dims: %s', shape.join( 'x' ) );
// Randomly flip strides and convert an ndarray to a nested array...
var arr;
var i;
var j;
for ( i = 0; i < 20; i++ ) {
j = discreteUniform( 0, ndims-1 );
strides[ j ] *= -1;
offset = strides2offset( shape, strides );
console.log( '' );
console.log( 'Strides: %s', strides.join( ',' ) );
console.log( 'Offset: %d', offset );
arr = ndarray( 'generic', buffer, shape, strides, offset, order );
console.log( JSON.stringify( ndarray2array( arr ) ) );
}
</script>
</body>
</html>@stdlib/ndarray-array: multidimensional arrays.@stdlib/ndarray-ctor: multidimensional array constructor.@stdlib/ndarray-to-json: serialize an ndarray as a JSON object.
This package is part of stdlib, a standard library 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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