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@stdlib/ndarray-flatten

v0.1.1

Published

Return a flattened copy of an input ndarray.

Readme

flatten

NPM version Build Status Coverage Status

Return a flattened copy of an input ndarray.

Installation

npm install @stdlib/ndarray-flatten

Usage

var flatten = require( '@stdlib/ndarray-flatten' );

flatten( x[, options] )

Returns a flattened copy of an input ndarray.

var array = require( '@stdlib/ndarray-array' );

var x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );
// returns <ndarray>

var y = flatten( x );
// returns <ndarray>[ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ]

The function accepts the following arguments:

  • x: input ndarray.
  • options: function options (optional).

The function accepts the following options:

  • order: order in which input ndarray elements should be flattened. Must be one of the following:

    • 'row-major': flatten elements in lexicographic order. For example, given a two-dimensional input ndarray (i.e., a matrix), flattening in lexicographic order means flattening the input ndarray row-by-row.
    • 'column-major': flatten elements in colexicographic order. For example, given a two-dimensional input ndarray (i.e., a matrix), flattening in colexicographic order means flattening the input ndarray column-by-column.
    • 'any': flatten according to the physical layout of the input ndarray data in memory, regardless of the stated order of the input ndarray.
    • 'same': flatten according to the stated order of the input ndarray.

    Default: 'row-major'.

  • depth: maximum number of input ndarray dimensions to flatten.

  • dtype: output ndarray data type. By default, the function returns an ndarray having the same data type as a provided input ndarray.

By default, the function flattens all dimensions of the input ndarray. To flatten to a desired depth, specify the depth option.

var array = require( '@stdlib/ndarray-array' );

var x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );
// returns <ndarray>

var y = flatten( x, {
    'depth': 1
});
// returns <ndarray>[ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]

By default, the input ndarray is flattened in lexicographic order. To flatten elements in a different order, specify the order option.

var array = require( '@stdlib/ndarray-array' );

var x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );
// returns <ndarray>

var y = flatten( x, {
    'order': 'column-major'
});
// returns <ndarray>[ 1.0, 3.0, 5.0, 2.0, 4.0, 6.0 ]

By default, the output ndarray data type is inferred from the input ndarray. To return an ndarray with a different data type, specify the dtype option.

var array = require( '@stdlib/ndarray-array' );
var dtype = require( '@stdlib/ndarray-dtype' );

var x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );
// returns <ndarray>

var y = flatten( x, {
    'dtype': 'float32'
});
// returns <ndarray>[ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ]

var dt = String( dtype( y ) );
// returns 'float32'

Notes

  • The function always returns a copy of input ndarray data, even when an input ndarray already has the desired number of dimensions.

Examples

var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var array = require( '@stdlib/ndarray-array' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var flatten = require( '@stdlib/ndarray-flatten' );

var xbuf = discreteUniform( 12, -100, 100, {
    'dtype': 'generic'
});

var x = array( xbuf, {
    'shape': [ 2, 2, 3 ],
    'dtype': 'generic'
});
console.log( ndarray2array( x ) );

var y = flatten( x );
console.log( ndarray2array( y ) );

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 © 2016-2026. The Stdlib Authors.