@stdlib/ndarray-dtypes NPM

Data Types

List of ndarray data types.

Installation

npm install @stdlib/ndarray-dtypes

Usage

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

dtypes( [kind] )

Returns a list of ndarray data types.

var out = dtypes();
// e.g., returns [ 'binary', 'complex64', 'complex128', ... ]

When not provided a data type "kind", the function returns an array containing the following data types:

binary: binary.
complex64: single-precision complex floating-point numbers.
complex128: double-precision complex floating-point numbers.
float32: single-precision floating-point numbers.
float64: double-precision floating-point numbers.
generic: values of any type.
int16: signed 16-bit integers.
int32: signed 32-bit integers.
int8: signed 8-bit integers.
uint16: unsigned 16-bit integers.
uint32: unsigned 32-bit integers.
uint8: unsigned 8-bit integers.
uint8c: unsigned clamped 8-bit integers.

To return the subset of data types belonging to a specified data type kind, provide a kind argument.

var out = dtypes( 'floating_point' );
// returns [...]

The function supports the following data type kinds:

floating_point: floating-point data types.
real_floating_point: real-valued floating-point data types.
complex_floating_point: complex-valued floating-point data types.
integer: integer data types.
signed_integer: signed integer data types.
unsigned_integer: unsigned integer data types.
real: real-valued data types.
numeric: numeric data types.
typed: typed data types.
all: all data types.

Examples

var indexOf = require( '@stdlib/utils-index-of' );
var dtypes = require( '@stdlib/ndarray-dtypes' );

var DTYPES = dtypes();

function isdtype( str ) {
    if ( indexOf( DTYPES, str ) === -1 ) {
        return false;
    }
    return true;
}

var bool = isdtype( 'float64' );
// returns true

bool = isdtype( 'int16' );
// returns true

bool = isdtype( 'uint8' );
// returns true

bool = isdtype( 'beep' );
// returns false

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.