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Return an array containing a truncated view of an input ndarray and a view of the last element(s) along a specified dimension.
npm install @stdlib/ndarray-base-pop
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var pop = require( '@stdlib/ndarray-base-pop' );
Returns an array containing a truncated view of an input ndarray and a view of the last element(s) 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 arr = ndarray2array( x ); // returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ] var y = pop( x, 0, false ); // returns [ <ndarray>, <ndarray> ] arr = ndarray2array( y[ 0 ] ); // returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] arr = ndarray2array( y[ 1 ] ); // returns [ [ 5.0, 6.0 ] ]
The function accepts the following arguments:
- x: input ndarray.
- dim: dimension along which to perform the operation. 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. - writable: boolean indicating whether a returned ndarray should be writable.
- The
writableparameter only applies to ndarray constructors supporting read-only instances.
var array = require( '@stdlib/ndarray-array' ); var ndarray2array = require( '@stdlib/ndarray-to-array' ); var zeroTo = require( '@stdlib/array-base-zero-to' ); var pop = require( '@stdlib/ndarray-base-pop' ); // Create a linear data buffer: var buf = zeroTo( 27 ); // Create an ndarray: var x = array( buf, { 'shape': [ 3, 3, 3 ] }); console.log( ndarray2array( x ) ); // Remove the last row from each matrix: var y = pop( x, 1, false ); console.log( ndarray2array( y[ 0 ] ) ); console.log( ndarray2array( y[ 1 ] ) );
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.
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