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Create an uninitialized ndarray having a specified shape and data type.
To use in Observable,
empty = require( 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-empty@umd/browser.js' )To vendor stdlib functionality and avoid installing dependency trees for Node.js, you can use the UMD server build:
var empty = require( 'path/to/vendor/umd/ndarray-empty/index.js' )To include the bundle in a webpage,
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-empty@umd/browser.js"></script>If no recognized module system is present, access bundle contents via the global scope:
<script type="text/javascript">
(function () {
window.empty;
})();
</script>Creates an uninitialized ndarray having a specified shape and data type.
var arr = empty( [ 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 = empty( 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 ].
By default, the function returns an ndarray having a float64 data type. To specify an alternative data type, provide a dtype option.
var arr = empty( [ 2, 2 ], {
'dtype': 'float32'
});
// returns <ndarray>
var sh = arr.shape;
// returns [ 2, 2 ]
var dt = arr.dtype;
// returns 'float32'- If the
dtypeoption is'generic', the function always returns a zero-filled ndarray. - For returned ndarrays whose underlying memory is not initialized, memory contents are unknown and may contain sensitive data.
<!DOCTYPE html>
<html lang="en">
<body>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-dtypes@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-empty@umd/browser.js"></script>
<script type="text/javascript">
(function () {
// Get a list of data types:
var dt = dtypes();
// Generate uninitialized arrays...
var arr;
var i;
for ( i = 0; i < dt.length; i++ ) {
arr = empty( [ 2, 2 ], {
'dtype': dt[ i ]
});
console.log( arr.data );
}
})();
</script>
</body>
</html>@stdlib/ndarray-empty-like: create an uninitialized ndarray having the same shape and data type as a provided ndarray.@stdlib/ndarray-zeros: create a zero-filled ndarray having a specified shape and data type.
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.
See LICENSE.
Copyright © 2016-2025. The Stdlib Authors.
