@stdlib/ndarray-zeros NPM

zeros

Create a zero-filled ndarray having a specified shape and data type.

Installation

npm install @stdlib/ndarray-zeros

Usage

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

zeros( shape[, options] )

Creates a zero-filled ndarray having a specified shape and data type.

var arr = zeros( [ 2, 2 ] );
// returns <ndarray>

var sh = arr.shape;
// returns [ 2, 2 ]

var dt = arr.dtype;
// returns 'float64'

The specified output ndarray shape may be either an array-like object or an integer value.

var arr = zeros( 2 );
// returns <ndarray>

var sh = arr.shape;
// returns [ 2 ]

var dt = arr.dtype;
// returns 'float64'

The function accepts the following options:

dtype: underlying data type. Default: 'float64'.
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, the constructor recycles modes using modulo arithmetic. Default: [ options.mode ].
readonly: boolean indicating whether an array should be read-only. Default: false.

By default, the function returns an ndarray having a float64 data type. To specify an alternative data type, provide a dtype option.

var arr = zeros( [ 2, 2 ], {
    'dtype': 'float32'
});
// returns <ndarray>

var sh = arr.shape;
// returns [ 2, 2 ]

var dt = arr.dtype;
// returns 'float32'

Examples

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

// Get a list of data types:
var dt = dtypes();

// Generate zero-filled arrays...
var arr;
var i;
for ( i = 0; i < dt.length; i++ ) {
    arr = zeros( [ 2, 2 ], {
        'dtype': dt[ i ]
    });
    console.log( arr.data );
}

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

License

See LICENSE.

@stdlib/ndarray-zeros v0.2.1