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Float32Matrix

Create a single-precision floating-point matrix (i.e., a two-dimensional ndarray).

Installation

npm install @stdlib/ndarray-matrix-float32

Alternatively,

• To load the package in a website via a script tag without installation and bundlers, use the ES Module available on the esm branch (see README).
• If you are using Deno, visit the deno branch (see README for usage intructions).
• For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the umd branch (see README).

The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.

To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.

Usage

var Float32Matrix = require( '@stdlib/ndarray-matrix-float32' );

Float32Matrix( [options] )

Returns a two-dimensional single-precision floating-point ndarray.

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

var arr = new Float32Matrix();
// returns <ndarray>

var len = getShape( arr );
// returns [ 0, 0 ]

The function accepts the following options:

• order: specifies whether an ndarray is 'row-major' (C-style) or 'column-major' (Fortran-style). Default: 'row-major'.
• mode: specifies how to handle indices which exceed array dimensions (see ndarray). Default: 'throw'.
• submode: a mode array which specifies for each dimension how to handle subscripts which exceed array dimensions (see ndarray). If provided fewer modes than dimensions, an ndarray) instance recycles modes using modulo arithmetic. Default: [ options.mode ].
• readonly: boolean indicating whether an array should be read-only. Default: false.

Float32Matrix( shape[, options] )

Returns a two-dimensional single-precision floating-point ndarray having a specified shape.

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

var arr = new Float32Matrix( [ 3, 3 ] );
// returns <ndarray>

var sh = getShape( arr );
// returns [ 3, 3 ]

The function accepts the following arguments:

• shape: array shape. Must contain exactly two elements.
• options: function options. See above.

Float32Matrix( M, N[, options] )

Returns a two-dimensional single-precision floating-point ndarray having a specified shape.

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

var arr = new Float32Matrix( 3, 3 );
// returns <ndarray>

var sh = getShape( arr );
// returns [ 3, 3 ]

The function accepts the following arguments:

• M: number of rows.
• N: number of columns.
• options: function options. See above.

Float32Matrix( obj[, options] )

Creates a two-dimensional single-precision floating-point ndarray from an array-like object or iterable.

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

var arr = new Float32Matrix( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] );
// returns <ndarray>

var sh = getShape( arr );
// returns [ 2, 2 ]

The function accepts the following arguments:

• obj: array-like object or iterable from which to generate an ndarray. If an array-like object, the value must be a nested array (i.e., an array-like object of array-like objects), where each nested array must have the same number of elements. If an iterable, the iterable must return array-like objects, each of which must have the same number of elements.
• options: function options. See above.

Float32Matrix( buffer[, byteOffset[, shape]][, options] )

Returns a two-dimensional single-precision floating-point ndarray view of an ArrayBuffer.

var ArrayBuffer = require( '@stdlib/array-buffer' );
var getShape = require( '@stdlib/ndarray-shape' );

var buf = new ArrayBuffer( 64 );

var arr1 = new Float32Matrix( buf );
// returns <ndarray>

var sh1 = getShape( arr1 );
// returns [ 1, 16 ]

var arr2 = new Float32Matrix( buf, 16 );
// returns <ndarray>

var sh2 = getShape( arr2 );
// returns [ 1, 12 ]

var arr3 = new Float32Matrix( buf, 16, [ 2, 1 ] );
// returns <ndarray>

var sh3 = getShape( arr3 );
// returns [ 2, 1 ]

The function accepts the following arguments:

• buffer: underlying ArrayBuffer.
• byteOffset: integer byte offset specifying the location of the first indexed element. Default: 0.
• shape: array shape. Must contain exactly two elements.
• options: function options. See above.

Float32Matrix( buffer[, byteOffset[, M, N]][, options] )

Returns a two-dimensional single-precision floating-point ndarray view of an ArrayBuffer.

var ArrayBuffer = require( '@stdlib/array-buffer' );
var getShape = require( '@stdlib/ndarray-shape' );

var buf = new ArrayBuffer( 64 );

var arr = new Float32Matrix( buf, 16, 2, 1 );
// returns <ndarray>

var sh = getShape( arr );
// returns [ 2, 1 ]

The function accepts the following arguments:

• buffer: underlying ArrayBuffer.
• byteOffset: integer byte offset specifying the location of the first indexed element. Default: 0.
• M: number of rows.
• N: number of columns.
• options: function options. See above.

Notes

• Nested arrays are flattened in lexicographic order, such that, for an input nested array obj, obj[i][j] corresponds to the element mat.get(i, j) in the returned two-dimensional ndarray. In other words, an input nested array is assumed to be comprised of rows. Similarly, if obj is an iterable, each array returned by the iterable is assumed to correspond to a matrix row.
• If provided an ArrayBuffer without corresponding shape arguments, the leading dimension of the returned ndarray always has a size of one.

Examples

var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var sum = require( '@stdlib/blas-ext-sum' );
var map = require( '@stdlib/ndarray-map' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var Float32Matrix = require( '@stdlib/ndarray-matrix-float32' );

// Create a matrix containing random values:
var x = new Float32Matrix([
    discreteUniform( 10, 0, 100 ),
    discreteUniform( 10, 0, 20 )
]);

// Compute the sum along the columns:
var v = sum( x, {
    'dims': [ -1 ]
});
console.log( ndarray2array( v ) );

// Define a function which applies a threshold to individual values:
function threshold( v ) {
    return ( v > 10 ) ? v : 0;
}

// Apply threshold:
var y = map( x, threshold );

// Recompute the sum along the columns:
v = sum( y, {
    'dims': [ -1 ]
});
console.log( ndarray2array( v ) );

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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

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License

See LICENSE.

Copyright

Copyright © 2016-2026. The Stdlib Authors.