Return the shape of a provided ndarray.
APACHE-2.0 License
Return the shape of a provided ndarray.
npm install @stdlib/ndarray-shape
Alternatively,
script
tag without installation and bundlers, use the ES Module available on the esm
branch (see README).deno
branch (see README for usage intructions).umd
branch (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 shape = require( '@stdlib/ndarray-shape' );
Returns the shape of a provided ndarray.
var zeros = require( '@stdlib/ndarray-zeros' );
var x = zeros( [ 3, 2, 3 ] );
// returns <ndarray>
var sh = shape( x );
// returns [ 3, 2, 3 ]
var zeros = require( '@stdlib/ndarray-zeros' );
var slice = require( '@stdlib/ndarray-slice' );
var E = require( '@stdlib/slice-multi' );
var S = require( '@stdlib/slice-ctor' );
var shape = require( '@stdlib/ndarray-shape' );
// 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 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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