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scalar2ndarray
Convert a scalar value to a zero-dimensional ndarray.
Installation
npm install @stdlib/ndarray-from-scalar
Usage
var scalar2ndarray = require( '@stdlib/ndarray-from-scalar' );
scalar2ndarray( value[, options] )
Returns a zero-dimensional ndarray
containing a provided scalar value
.
var x = scalar2ndarray( 1.0 );
// returns <ndarray>
var sh = x.shape;
// returns []
var dt = x.dtype;
// returns 'float64'
var v = x.get();
// returns 1.0
The function accepts the following options
:
- dtype: output array data type.
-
order: array order (i.e., memory layout), which is either
row-major
(C-style) orcolumn-major
(Fortran-style). Default:'row-major'
. -
readonly:
boolean
indicating whether an array should be read-only. Default:false
.
If a dtype
option is not provided and value
- is a
number
, the default data type is the default real-valued floating-point data type. - is a complex number object of a known data type, the data type is the same as the provided value.
- is a complex number object of an unknown data type, the default data type is the default complex-valued floating-point data type.
- is any other value type, the default data type is
'generic'
.
To explicitly specify the data type of the returned ndarray
, provide a dtype
option.
var x = scalar2ndarray( 1.0, {
'dtype': 'float32'
});
// returns <ndarray>
var sh = x.shape;
// returns []
var dt = x.dtype;
// returns 'float32'
var v = x.get();
// returns 1.0
Notes
Examples
var dtypes = require( '@stdlib/ndarray-dtypes' );
var scalar2ndarray = require( '@stdlib/ndarray-from-scalar' );
// Get a list of data types:
var dt = dtypes();
// Generate zero-dimensional arrays...
var x;
var i;
for ( i = 0; i < dt.length; i++ ) {
x = scalar2ndarray( i, {
'dtype': dt[ i ]
});
console.log( x.get() );
}
See Also
-
@stdlib/ndarray-array
: multidimensional arrays. -
@stdlib/ndarray-ctor
: multidimensional array constructor.
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.
Copyright
Copyright © 2016-2024. The Stdlib Authors.