Gathering detailed insights and metrics for @stdlib/array-nans-like
Gathering detailed insights and metrics for @stdlib/array-nans-like
Create an array filled with NaNs and having the same length and data type as a provided array.
Installations
npm install @stdlib/array-nans-likeDeveloper Guide
BETA
Typescript
Yes
Module System
CommonJS
Min. Node Version
>=0.10.0
Node Version
16.20.2
NPM Version
8.19.4
Score
66.3
Supply Chain
78.6
Quality
80.4
Maintenance
100
Vulnerability
99.6
License
Releases
Unable to fetch releases
Languages
1
JavaScript
JavaScript (100%)
Developer
Download Statistics
Total Downloads
661
Last Day
1
Last Week
5
Last Month
17
Last Year
148
GitHub Statistics
Apache-2.0 License
1 Stars
25 Commits
3 Watchers
5 Branches
14 Contributors
Updated on Jun 25, 2025
Bundle Size
73.59 kB
Minified
10.74 kB
Minified + Gzipped
Sponsor this package
Maintainers
4
Package Meta Information
Latest Version
0.2.1
Package Id
@stdlib/array-nans-like@0.2.1
Unpacked Size
39.38 kB
Size
9.37 kB
File Count
11
NPM Version
8.19.4
Node Version
16.20.2
Published on
Feb 25, 2024
Total Downloads
Cumulative downloads
Total Downloads
661
Last Day
0%
1
Compared to previous day
Last Week
25%
5
Compared to previous week
Last Month
-19%
17
Compared to previous month
Last Year
-66%
148
Compared to previous year
Weekly Downloads
Monthly Downloads
Yearly Downloads
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nansLike
Create an array filled with NaNs and having the same length and data type as a provided array.
Installation
1npm install @stdlib/array-nans-like
Usage
1var nansLike = require( '@stdlib/array-nans-like' );
nansLike( x[, dtype] )
Creates an array filled with NaNs and having the same length and data type as a provided array x.
1var x = [ 1, 2, 3, 4, 5 ]; 2 3var arr = nansLike( x ); 4// returns [ NaN, NaN, NaN, NaN, NaN ]
The function supports the following data types:
float64: double-precision floating-point numbers (IEEE 754)float32: single-precision floating-point numbers (IEEE 754)complex128: double-precision complex floating-point numberscomplex64: single-precision complex floating-point numbersgeneric: generic JavaScript values
By default, the output array data type is inferred from the provided array x. To return an array having a different data type, provide a dtype argument.
1var x = [ 0, 0 ]; 2 3var arr = nansLike( x, 'float32' ); 4// returns <Float32Array>[ NaN, NaN ]
Notes
- If the output array has a complex number data type, each element of the returned array has a real component equal to
NaNand an imaginary component equal toNaN.
Examples
1var dtypes = require( '@stdlib/array-typed-float-dtypes' ); 2var zeros = require( '@stdlib/array-zeros' ); 3var nansLike = require( '@stdlib/array-nans-like' ); 4 5// Create a zero-filled array: 6var x = zeros( 4, 'complex128' ); 7 8// Get a list of array data types: 9var dt = dtypes(); 10 11// Generate filled arrays... 12var y; 13var i; 14for ( i = 0; i < dt.length; i++ ) { 15 y = nansLike( x, dt[ i ] ); 16 console.log( y ); 17}
See Also
@stdlib/array-full-like: create a filled array having the same length and data type as a provided array.@stdlib/array-nans: create an array filled with NaNs and having a specified length.@stdlib/array-ones-like: create an array filled with ones and having the same length and data type as a provided array.@stdlib/array-zeros-like: create a zero-filled array having the same length and data type as a provided array.
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.
No vulnerabilities found.
No security vulnerabilities found.