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Return the shape of a provided ndarray.
import shape from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-shape@deno/mod.js';Returns the shape of a provided ndarray.
import zeros from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-zeros@deno/mod.js';
var x = zeros( [ 3, 2, 3 ] );
// returns <ndarray>
var sh = shape( x );
// returns [ 3, 2, 3 ]import zeros from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-zeros@deno/mod.js';
import slice from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-slice@deno/mod.js';
import E from 'https://cdn.jsdelivr.net/gh/stdlib-js/slice-multi@deno/mod.js';
import S from 'https://cdn.jsdelivr.net/gh/stdlib-js/slice-ctor@deno/mod.js';
import shape from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-shape@deno/mod.js';
// Create an array:
var x = zeros( [ 10, 10, 10, 10 ] );
// returns <ndarray>
// Define some slices:
var slices = [
// :,:,:,:
E( null, null, null, null ),
// 5:10,4,2:4,::-1
E( S( 5, 10 ), 4, S( 2, 4 ), S( null, null, -1 ) ),
// :,:,2,:
E( null, null, 2, null ),
// 1,2,3,:
E( 1, 2, 3, null ),
// 1,3,::2,4::2
E( 1, 3, S( null, null, 2 ), S( 4, null, 2 ) )
];
// Determine the shape of each slice...
var s;
var i;
for ( i = 0; i < slices.length; i++ ) {
s = slice( x, slices[ i ] );
console.log( 'slice(%s) => %s', x.shape.join( 'x' ), shape( s ).join( 'x' ) );
}@stdlib/ndarray-array: multidimensional arrays.@stdlib/ndarray-ctor: multidimensional array constructor.@stdlib/ndarray-offset: return the index offset specifying the underlying buffer index of the first iterated ndarray element.@stdlib/ndarray-strides: return the strides of a provided ndarray.
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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