@stdlib/ndarray-slice-dimension
TypeScript icon, indicating that this package has built-in type declarations

0.2.1 • Public • Published
About stdlib...

We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.

The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.

When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.

To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!

sliceDimension

NPM version Build Status Coverage Status

Return a read-only view of an input ndarray when sliced along a specified dimension.

Installation

npm install @stdlib/ndarray-slice-dimension

Usage

var sliceDimension = require( '@stdlib/ndarray-slice-dimension' );

sliceDimension( x, dim, slice[, options] )

Returns a read-only view of an input ndarray when sliced along a specified dimension.

var Slice = require( '@stdlib/slice-ctor' );
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 s = new Slice( null, null, -1 );
// returns <Slice>

var y = sliceDimension( x, 0, s );
// returns <ndarray>

sh = y.shape;
// returns [ 3, 2 ]

arr = ndarray2array( y );
// returns [ [ 5.0, 6.0 ], [ 3.0, 4.0 ], [ 1.0, 2.0 ] ]

The function accepts the following arguments:

  • x: input ndarray.
  • dim: index of dimension along which to slice. If provided an integer less than zero, the dimension index is resolved relative to the last dimension, with the last dimension corresponding to the value -1.
  • slice: a Slice instance, null, undefined, or an integer. If provided null or undefined, the argument is equivalent to new Slice() (i.e., the returned view should include all elements along a specified dimension). If provided an integer less than zero, the corresponding element along the specified dimension is resolved relative to the last element along that dimension. For negative integers, the last element corresponds to the value -1.
  • options: function options.

The function supports the following options:

  • strict: boolean indicating whether to enforce strict bounds checking.

By default, the function throws an error when provided a slice which exceeds array bounds. To return an empty array when a slice exceeds array bounds, set the strict option to false.

var Slice = require( '@stdlib/slice-ctor' );
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 s = new Slice( 10, 20, 2 );
// returns <Slice>

var y = sliceDimension( x, 1, s, {
    'strict': false
});
// returns <ndarray>

sh = y.shape;
// returns [ 3, 0 ]

arr = ndarray2array( y );
// returns []

Examples

var S = require( '@stdlib/slice-ctor' );
var array = require( '@stdlib/ndarray-array' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var zeroTo = require( '@stdlib/array-base-zero-to' );
var sliceDimension = require( '@stdlib/ndarray-slice-dimension' );

// Alias `null` to allow for more compact indexing expressions:
var _ = null;

// Create a linear ndarray buffer:
var buf = zeroTo( 27 );

// Create an ndarray:
var x = array( buf, {
    'shape': [ 3, 3, 3 ]
});

// Get each matrix...
var y1 = sliceDimension( x, 0, 0 );
// returns <ndarray>

var a1 = ndarray2array( y1 );
// returns [ [ 0, 1, 2 ], [ 3, 4, 5 ], [ 6, 7, 8 ] ]

var y2 = sliceDimension( x, 0, 1 );
// returns <ndarray>

var a2 = ndarray2array( y2 );
// returns [ [ 9, 10, 11 ], [ 12, 13, 14 ], [ 15, 16, 17 ] ]

var y3 = sliceDimension( x, 0, 2 );
// returns <ndarray>

var a3 = ndarray2array( y3 );
// returns [ [ 18, 19, 20 ], [ 21, 22, 23 ], [ 24, 25, 26 ] ]

// Reverse the matrix order:
var s = S( _, _, -1 );
var y4 = sliceDimension( x, 0, s );
// returns <ndarray>

var a4 = ndarray2array( y4 );
// returns [...]

// Get the second rows from each matrix:
var y5 = sliceDimension( x, 1, 1 );
// returns <ndarray>

var a5 = ndarray2array( y5 );
// returns [ [ 3, 4, 5 ], [ 12, 13, 14 ], [ 21, 22, 23 ] ]

// Get the second columns from each matrix:
var y6 = sliceDimension( x, 2, 1 );
// returns <ndarray>

var a6 = ndarray2array( y6 );
// returns [ [ 1, 4, 7 ], [ 10, 13, 16 ], [ 19, 22, 25 ] ]

See Also


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

Chat


License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.

Package Sidebar

Install

npm i @stdlib/ndarray-slice-dimension

Homepage

stdlib.io

Weekly Downloads

1

Version

0.2.1

License

Apache-2.0

Unpacked Size

57.1 kB

Total Files

11

Last publish

Collaborators

  • stdlib-bot
  • kgryte
  • planeshifter
  • rreusser