@stdlib/ndarray-base-to-flippedlr
v0.1.1
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Return a new ndarray where the order of elements along the last dimension of an input ndarray is reversed.
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toFlippedlr
Return a new ndarray where the order of elements along the last dimension of an input ndarray is reversed.
Installation
npm install @stdlib/ndarray-base-to-flippedlrUsage
var toFlippedlr = require( '@stdlib/ndarray-base-to-flippedlr' );toFlippedlr( x )
Returns a new ndarray where the order of elements along the last dimension of an input ndarray is reversed.
var ndarray = require( '@stdlib/ndarray-ctor' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var buffer = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
var shape = [ 3, 2 ];
var strides = [ 2, 1 ];
var offset = 0;
var x = ndarray( 'generic', buffer, shape, strides, offset, 'row-major' );
// returns <ndarray>
var sh = x.shape;
// returns [ 3, 2 ]
var arr = ndarray2array( x );
// returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
var y = toFlippedlr( x );
// returns <ndarray>
sh = y.shape;
// returns [ 3, 2 ]
arr = ndarray2array( y );
// returns [ [ 2.0, 1.0 ], [ 4.0, 3.0 ], [ 6.0, 5.0 ] ]The function accepts the following arguments:
- x: input ndarray.
Notes
- If provided a zero-dimensional ndarray, as the ndarray has no dimensions to reverse, the function simply returns a copy of the input ndarray.
Examples
var array = require( '@stdlib/ndarray-array' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var zeroTo = require( '@stdlib/array-base-zero-to' );
var toFlippedlr = require( '@stdlib/ndarray-base-to-flippedlr' );
// Create a linear ndarray buffer:
var buf = zeroTo( 16 );
// Create a three-dimensional ndarray:
var x = array( buf, {
'shape': [ 2, 4, 2 ]
});
// Reverse the order of last dimension:
var y = toFlippedlr( x );
// returns <ndarray>
var a = ndarray2array( y );
console.log( a );
// => [ [ [ 1, 0 ], [ 3, 2 ], [ 5, 4 ], [ 7, 6 ] ], [ [ 9, 8 ], [ 11, 10 ], [ 13, 12 ], [ 15, 14 ] ] ]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.
Community
License
See LICENSE.
Copyright
Copyright © 2016-2026. The Stdlib Authors.
