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Create a zero-filled ndarray having a specified shape and data type.
import zeros from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-zeros@esm/index.mjs';
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. Must be a numeric data type or "generic". 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'
<!DOCTYPE html>
<html lang="en">
<body>
<script type="module">
import dtypes from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-dtypes@esm/index.mjs';
import zeros from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-zeros@esm/index.mjs';
// Get a list of data types:
var dt = dtypes( 'numeric' );
// 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 );
}
</script>
</body>
</html>
@stdlib/ndarray-empty
: create an uninitialized ndarray having a specified shape and data type.@stdlib/ndarray-zeros-like
: create a zero-filled ndarray having the same shape and data type as a provided ndarray.
This package is part of stdlib, a standard library 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.
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