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Return a view of an input ndarray when sliced along a specified dimension.
npm install @stdlib/ndarray-base-slice-dimension
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var sliceDimension = require( '@stdlib/ndarray-base-slice-dimension' );
Returns a 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, false, false );
// 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 or an integer. 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
. - strict: boolean indicating whether to enforce strict bounds checking.
- writable: boolean indicating whether a returned ndarray should be writable.
- The
writable
parameter only applies to ndarray constructors supporting read-only instances.
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-base-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, false, false );
// returns <ndarray>
var a1 = ndarray2array( y1 );
// returns [ [ 0, 1, 2 ], [ 3, 4, 5 ], [ 6, 7, 8 ] ]
var y2 = sliceDimension( x, 0, 1, false, false );
// returns <ndarray>
var a2 = ndarray2array( y2 );
// returns [ [ 9, 10, 11 ], [ 12, 13, 14 ], [ 15, 16, 17 ] ]
var y3 = sliceDimension( x, 0, 2, false, false );
// 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, false, false );
// returns <ndarray>
var a4 = ndarray2array( y4 );
// returns [...]
// Get the second rows from each matrix:
var y5 = sliceDimension( x, 1, 1, false, false );
// 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, false, false );
// returns <ndarray>
var a6 = ndarray2array( y6 );
// returns [ [ 1, 4, 7 ], [ 10, 13, 16 ], [ 19, 22, 25 ] ]
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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