@stdlib/ndarray-base-ctor

Base multidimensional array.

https://github.com/stdlib-js/ndarray-base-ctor

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Keywords

array constructor constructors ctor ctors data dimensions dims javascript multidimensional ndarray node node-js nodejs stdlib structure typed typed-array types

Last synced: 4 months ago · JSON representation ·

Repository

Base multidimensional array.

Basic Info

Host: GitHub
Owner: stdlib-js
License: apache-2.0
Language: JavaScript
Default Branch: main
Homepage: https://github.com/stdlib-js/stdlib
Size: 3.19 MB

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Topics

array constructor constructors ctor ctors data dimensions dims javascript multidimensional ndarray node node-js nodejs stdlib structure typed typed-array types

Created over 4 years ago · Last pushed 4 months ago

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Readme Changelog Contributing License Code of conduct Citation Security Notice

We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.

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When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.

To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!

ndarray

Create a multidimensional array.

## Installation ```bash npm install @stdlib/ndarray-base-ctor ``` Alternatively, - To load the package in a website via a `script` tag without installation and bundlers, use the [ES Module][es-module] available on the [`esm`][esm-url] branch (see [README][esm-readme]). - If you are using Deno, visit the [`deno`][deno-url] branch (see [README][deno-readme] for usage intructions). - For use in Observable, or in browser/node environments, use the [Universal Module Definition (UMD)][umd] build available on the [`umd`][umd-url] branch (see [README][umd-readme]). The [branches.md][branches-url] 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 ```javascript var ndarray = require( '@stdlib/ndarray-base-ctor' ); ``` #### ndarray( dtype, buffer, shape, strides, offset, order ) Returns an `ndarray` instance. ```javascript // Specify the array configuration: var buffer = [ 1, 2, 3, 4 ]; var shape = [ 2, 2 ]; var order = 'row-major'; var strides = [ 2, 1 ]; var offset = 0; // Create a new ndarray: var arr = ndarray( 'generic', buffer, shape, strides, offset, order ); // returns ``` The constructor has the following parameters: - **dtype**: underlying [data type][@stdlib/ndarray/dtypes]. - **buffer**: data buffer. - **shape**: array shape (dimensions). - **strides**: array strides which are index offsets specifying how to access along corresponding dimensions. - **offset**: index offset specifying the location of the first indexed element in the data buffer. - **order**: array order, which is either `row-major` (C-style) or `column-major` (Fortran-style). To create a zero-dimensional array, provide an empty `shape` and a single `strides` element equal to `0`. The `order` can be either `row-major` or `column-major` and has no effect on data storage or access. ```javascript var buffer = [ 1 ]; var shape = []; var order = 'row-major'; var strides = [ 0 ]; var offset = 0; // Create a new zero-dimensional array: var arr = ndarray( 'generic', buffer, shape, strides, offset, order ); // returns ``` * * * ### Properties #### ndarray.name String value of the ndarray constructor name. ```javascript var str = ndarray.name; // returns 'ndarray' ``` #### ndarray.prototype.byteLength Size (in bytes) of the array (if known). ```javascript var Float64Array = require( '@stdlib/array-float64' ); // Specify the array configuration: var buffer = new Float64Array( [ 1, 2, 3, 4 ] ); var shape = [ 2, 2 ]; var order = 'row-major'; var strides = [ 2, 1 ]; var offset = 0; // Create a new ndarray: var arr = ndarray( 'float64', buffer, shape, strides, offset, order ); // Get the byte length: var nbytes = arr.byteLength; // returns 32 ``` If unable to determine the size of the array, the property value is `null`. ```javascript // Specify the array configuration: var buffer = [ 1, 2, 3, 4 ]; var shape = [ 2, 2 ]; var order = 'row-major'; var strides = [ 2, 1 ]; var offset = 0; // Create a new ndarray: var arr = ndarray( 'generic', buffer, shape, strides, offset, order ); // Get the byte length: var nbytes = arr.byteLength; // returns null ``` #### ndarray.prototype.BYTES_PER_ELEMENT Size (in bytes) of each array element (if known). ```javascript var Float32Array = require( '@stdlib/array-float32' ); // Specify the array configuration: var buffer = new Float32Array( [ 1, 2, 3, 4 ] ); var shape = [ 2, 2 ]; var order = 'row-major'; var strides = [ 2, 1 ]; var offset = 0; // Create a new ndarray: var arr = ndarray( 'float32', buffer, shape, strides, offset, order ); // Get the number of bytes per element: var nbytes = arr.BYTES_PER_ELEMENT; // returns 4 ``` If size of each array element is unknown, the property value is `null`. ```javascript // Specify the array configuration: var buffer = [ 1, 2, 3, 4 ]; var shape = [ 2, 2 ]; var order = 'row-major'; var strides = [ 2, 1 ]; var offset = 0; // Create a new ndarray: var arr = ndarray( 'generic', buffer, shape, strides, offset, order ); // Get the number of bytes per element: var nbytes = arr.BYTES_PER_ELEMENT; // returns null ``` #### ndarray.prototype.data A reference to the underlying data buffer. ```javascript var Int8Array = require( '@stdlib/array-int8' ); // Specify the array configuration: var buffer = new Int8Array( [ 1, 2, 3, 4 ] ); var shape = [ 2, 2 ]; var order = 'row-major'; var strides = [ 2, 1 ]; var offset = 0; // Create a new ndarray: var arr = ndarray( 'int8', buffer, shape, strides, offset, order ); // Get the buffer reference: var d = arr.data; // returns [ 1, 2, 3, 4 ] var bool = ( d === buffer ); // returns true ``` #### ndarray.prototype.dtype Underlying [data type][@stdlib/ndarray/dtypes]. ```javascript var Uint8Array = require( '@stdlib/array-uint8' ); // Specify the array configuration: var buffer = new Uint8Array( [ 1, 2, 3, 4 ] ); var shape = [ 2, 2 ]; var order = 'row-major'; var strides = [ -2, 1 ]; var offset = 2; // Create a new ndarray: var arr = ndarray( 'uint8', buffer, shape, strides, offset, order ); // Get the underlying data type: var dtype = arr.dtype; // returns 'uint8' ``` #### ndarray.prototype.flags Meta information, such as information concerning the memory layout of the array. The returned `object` has the following properties: - **ROW_MAJOR_CONTIGUOUS**: `boolean` indicating if an array is row-major contiguous. - **COLUMN_MAJOR_CONTIGUOUS**: `boolean` indicating if an array is column-major contiguous. - **READONLY**: `boolean` indicating if an array is **read-only**. An array is contiguous if (1) an array is compatible with being stored in a single memory segment and (2) each array element is adjacent to the next array element. Note that an array can be both row-major contiguous and column-major contiguous at the same time (e.g., if an array is a 1-dimensional ndarray with `strides = [1]`). ```javascript var Int32Array = require( '@stdlib/array-int32' ); // Specify the array configuration: var buffer = new Int32Array( [ 1, 2, 3, 4 ] ); var shape = [ 2, 2 ]; var order = 'column-major'; var strides = [ 1, 2 ]; var offset = 0; // Create a new ndarray: var arr = ndarray( 'int32', buffer, shape, strides, offset, order ); // Get the array flags: var flg = arr.flags; // returns {...} ``` #### ndarray.prototype.length Number of array elements. ```javascript var Uint16Array = require( '@stdlib/array-uint16' ); // Specify the array configuration: var buffer = new Uint16Array( [ 1, 2, 3, 4 ] ); var shape = [ 2, 2 ]; var order = 'column-major'; var strides = [ -1, -2 ]; var offset = 3; // Create a new ndarray: var arr = ndarray( 'uint16', buffer, shape, strides, offset, order ); // Get the array length: var len = arr.length; // returns 4 ``` #### ndarray.prototype.ndims Number of dimensions. ```javascript var Uint8ClampedArray = require( '@stdlib/array-uint8c' ); // Specify the array configuration: var buffer = new Uint8ClampedArray( [ 1, 2, 3, 4 ] ); var shape = [ 2, 2 ]; var order = 'row-major'; var strides = [ -2, -1 ]; var offset = 3; // Create a new ndarray: var arr = ndarray( 'uint8c', buffer, shape, strides, offset, order ); // Get the number of dimensions: var ndims = arr.ndims; // returns 2 ``` #### ndarray.prototype.offset Index offset which specifies the `buffer` index at which to start iterating over array elements. ```javascript var Int16Array = require( '@stdlib/array-int16' ); // Specify the array configuration: var buffer = new Int16Array( [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] ); var shape = [ 2, 2 ]; var order = 'row-major'; var strides = [ -2, -1 ]; var offset = 10; // Create a new ndarray: var arr = ndarray( 'int16', buffer, shape, strides, offset, order ); // Get the index offset: var o = arr.offset; // returns 10 ``` #### ndarray.prototype.order Array order. The array order is either row-major (C-style) or column-major (Fortran-style). ```javascript var Uint32Array = require( '@stdlib/array-uint32' ); // Specify the array configuration: var buffer = new Uint32Array( [ 1, 2, 3, 4 ] ); var shape = [ 2, 2 ]; var order = 'row-major'; var strides = [ 2, 1 ]; var offset = 0; // Create a new ndarray: var arr = ndarray( 'uint32', buffer, shape, strides, offset, order ); // Get the array order: var ord = arr.order; // returns 'row-major' ``` #### ndarray.prototype.shape Returns a copy of the array shape. ```javascript // Specify the array configuration: var buffer = [ 1, 2, 3, 4, 5, 6 ]; var shape = [ 2, 2 ]; var order = 'row-major'; var strides = [ 2, 1 ]; var offset = 2; // Create a new ndarray: var arr = ndarray( 'generic', buffer, shape, strides, offset, order ); // Get the array shape: var dims = arr.shape; // returns [ 2, 2 ] ``` #### ndarray.prototype.strides Returns a copy of the array strides which specify how to access data along corresponding array dimensions. ```javascript // Specify the array configuration: var buffer = [ 1, 2, 3, 4 ]; var shape = [ 2, 2 ]; var order = 'column-major'; var strides = [ -1, 2 ]; var offset = 1; // Create a new ndarray: var arr = ndarray( 'generic', buffer, shape, strides, offset, order ); // Get the array strides: var s = arr.strides; // returns [ -1, 2 ] ``` * * * ### Methods #### ndarray.prototype.get( i, j, k, ... ) Returns an array element specified according to provided subscripts. The number of provided subscripts should **equal** the number of dimensions. ```javascript // Specify the array configuration: var buffer = [ 1, 2, 3, 4, 5, 6, 7, 8 ]; var shape = [ 2, 2 ]; var order = 'row-major'; var strides = [ 2, 1 ]; var offset = 2; // Create a new ndarray: var arr = ndarray( 'generic', buffer, shape, strides, offset, order ); // Get the element located at (1,1): var v = arr.get( 1, 1 ); // returns 6 ``` #### ndarray.prototype.iget( idx ) Returns an array element located at a specified linear index. ```javascript // Specify the array configuration: var buffer = [ 1, 2, 3, 4, 5, 6, 7, 8 ]; var shape = [ 2, 2 ]; var order = 'row-major'; var strides = [ 2, 1 ]; var offset = 2; // Create a new ndarray: var arr = ndarray( 'generic', buffer, shape, strides, offset, order ); // Get the element located at index 3: var v = arr.iget( 3 ); // returns 6 ``` For zero-dimensional arrays, the input argument is ignored and, for clarity, should **not** be provided. #### ndarray.prototype.set( i, j, k, ..., v ) Sets an array element specified according to provided subscripts. The number of provided subscripts should **equal** the number of dimensions. ```javascript // Specify the array configuration: var buffer = [ 1, 2, 3, 4 ]; var shape = [ 2, 2 ]; var order = 'row-major'; var strides = [ 2, 1 ]; var offset = 0; // Create a new ndarray: var arr = ndarray( 'generic', buffer, shape, strides, offset, order ); // Set the element located at (1,1): arr.set( 1, 1, 40 ); var v = arr.get( 1, 1 ); // returns 40 // Get the underlying buffer: var d = arr.data; // returns [ 1, 2, 3, 40 ] ``` The method returns the `ndarray` instance. #### ndarray.prototype.iset( idx, v ) Sets an array element located at a specified linear index. ```javascript // Specify the array configuration: var buffer = [ 1, 2, 3, 4 ]; var shape = [ 2, 2 ]; var order = 'row-major'; var strides = [ 2, 1 ]; var offset = 0; // Create a new ndarray: var arr = ndarray( 'generic', buffer, shape, strides, offset, order ); // Set the element located at index 3: arr.iset( 3, 40 ); var v = arr.iget( 3 ); // returns 40 // Get the underlying buffer: var d = arr.data; // returns [ 1, 2, 3, 40 ] ``` For zero-dimensional arrays, the first, and **only**, argument should be the value `v` to set. The method returns the `ndarray` instance. #### ndarray.prototype.toString() Serializes an `ndarray` as a `string`. ```javascript // Specify the array configuration: var buffer = [ 1, 2, 3, 4, 5, 6, 7, 8 ]; var shape = [ 3, 2 ]; var order = 'row-major'; var strides = [ 2, 1 ]; var offset = 2; // Create a new ndarray: var arr = ndarray( 'generic', buffer, shape, strides, offset, order ); // Serialize to a string: var str = arr.toString(); // returns "ndarray( 'generic', [ 3, 4, 5, 6, 7, 8 ], [ 3, 2 ], [ 2, 1 ], 0, 'row-major' )" ``` The method does **not** serialize data outside of the buffer region defined by the array configuration. #### ndarray.prototype.toJSON() Serializes an `ndarray` as a [JSON][json] `object`. `JSON.stringify()` implicitly calls this method when stringifying an `ndarray` instance. ```javascript // Specify the array configuration: var buffer = [ 1, 2, 3, 4, 5, 6, 7, 8 ]; var shape = [ 3, 2 ]; var order = 'row-major'; var strides = [ 2, 1 ]; var offset = 2; // Create a new ndarray: var arr = ndarray( 'generic', buffer, shape, strides, offset, order ); // Serialize to JSON: var o = arr.toJSON(); // returns { 'type': 'ndarray', 'dtype': 'generic', 'flags': {...}, 'offset': 0, 'order': 'row-major', 'shape': [ 3, 2 ], 'strides': [ 2, 1 ], 'data': [ 3, 4, 5, 6, 7, 8 ] } ``` The method does **not** serialize data outside of the buffer region defined by the array configuration.

## Notes - A data buffer must be an array-like object (i.e., have a `length` property). For data buffers which are not indexed collections (i.e., collections which cannot support direct index access, such as `buffer[ index ]`; e.g., [`Complex64Array`][@stdlib/array/complex64], [`Complex128Array`][@stdlib/array/complex128], etc), a data buffer should provide `#.get( idx )` and `#.set( v[, idx] )` methods. Note that, for `set` methods, the value to set should be the first argument, followed by the linear index, similar to the native typed array `set` method.

* * * ## Examples ```javascript var Float32Array = require( '@stdlib/array-float32' ); var ndarray = require( '@stdlib/ndarray-base-ctor' ); // Create a data buffer: var buffer = new Float32Array( (3*3*3*3) + 100 ); // Specify the array shape: var shape = [ 3, 3, 3, 3 ]; // Specify the array strides: var strides = [ 27, 9, 3, 1 ]; // Specify the index offset: var offset = 4; // Specify the order: var order = 'row-major'; // C-style // Create a new ndarray: var arr = ndarray( 'float32', buffer, shape, strides, offset, order ); // Retrieve an array value: var v = arr.get( 1, 2, 1, 2 ); // returns 0.0 // Set an array value: arr.set( 1, 2, 1, 2, 10.0 ); // Retrieve the array value: v = arr.get( 1, 2, 1, 2 ); // returns 10.0 // Serialize the array as a string: var str = arr.toString(); // returns "ndarray( 'float32', new Float32Array( [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ] ), [ 3, 3, 3, 3 ], [ 27, 9, 3, 1 ], 0, 'row-major' )" // Serialize the array as JSON: str = JSON.stringify( arr.toJSON() ); // e.g., returns '{"type":"ndarray","dtype":"float32","flags":{"READONLY":false},"order":"row-major","shape":[3,3,3,3],"strides":[27,9,3,1],"data":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]}' ```

* * * ## Notice This package is part of [stdlib][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][stdlib], see the main project [repository][stdlib]. #### Community [![Chat][chat-image]][chat-url] --- ## License See [LICENSE][stdlib-license]. ## Copyright Copyright © 2016-2025. The Stdlib [Authors][stdlib-authors].

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Standard library for JavaScript.

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  Standard library for JavaScript and Node.js.

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license: Apache-2.0 AND BSL-1.0

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npmjs.org: @stdlib/ndarray-base-ctor

Base multidimensional array.

Homepage: https://stdlib.io
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published over 1 year ago

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