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Return a read-only shifted view of an input
ndarrayalong a specified dimension.
npm install @stdlib/ndarray-slice-dimension-fromAlternatively,
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var sliceDimensionFrom = require( '@stdlib/ndarray-slice-dimension-from' );Returns a read-only shifted view of an input ndarray along a specified dimension.
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 = sliceDimensionFrom( x, 0, 1 );
// returns <ndarray>
sh = y.shape;
// returns [ 2, 2 ]
arr = ndarray2array( y );
// returns [ [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]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. - start: starting index (inclusive). 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 starting index which exceeds array bounds. To return an empty array when a starting index exceeds array bounds, set the strict option to false.
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 = sliceDimensionFrom( x, 1, 20, {
'strict': false
});
// returns <ndarray>
sh = y.shape;
// returns [ 3, 0 ]
arr = ndarray2array( y );
// returns []var array = require( '@stdlib/ndarray-array' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var zeroTo = require( '@stdlib/array-base-zero-to' );
var sliceDimensionFrom = require( '@stdlib/ndarray-slice-dimension-from' );
// Create a linear ndarray buffer:
var buf = zeroTo( 27 );
// Create an ndarray:
var x = array( buf, {
'shape': [ 3, 3, 3 ]
});
// Get the last two rows of each matrix:
var y1 = sliceDimensionFrom( x, 1, 1 );
// returns <ndarray>
var a1 = ndarray2array( y1 );
// returns [ [ [ 3, 4, 5 ], [ 6, 7, 8 ] ], [ [ 12, 13, 14 ], [ 15, 16, 17 ] ], [ [ 21, 22, 23 ], [ 24, 25, 26 ] ] ]
// Get the last columns of each matrix:
var y2 = sliceDimensionFrom( x, 2, 1 );
// returns <ndarray>
var a2 = ndarray2array( y2 );
// returns [ [ [ 1, 2 ], [ 4, 5 ], [ 7, 8 ] ], [ [ 10, 11 ], [ 13, 14 ], [ 16, 17 ] ], [ [ 19, 20 ], [ 22, 23 ], [ 25, 26 ] ] ]
// Get the last two matrices:
var y3 = sliceDimensionFrom( x, 0, 1 );
// returns <ndarray>
var a3 = ndarray2array( y3 );
// returns [ [ [ 9, 10, 11 ], [ 12, 13, 14 ], [ 15, 16, 17 ] ], [ [ 18, 19, 20 ], [ 21, 22, 23 ], [ 24, 25, 26 ] ] ]@stdlib/ndarray-array: multidimensional arrays.@stdlib/ndarray-ctor: multidimensional array constructor.@stdlib/ndarray-slice: return a read-only view of an input ndarray.@stdlib/ndarray-slice-dimension: return a read-only view of an input ndarray when sliced along a specified dimension.@stdlib/ndarray-slice-dimension-to: return a read-only truncated view of an input ndarray along a specific dimension.@stdlib/ndarray-slice-from: return a read-only shifted view of an input 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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