npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

extract-numbers

v1.0.10

Published

Extract numbers from text

Downloads

13,074

Readme

extract-numbers Build Status

Get numbers from a string

Install

$ npm install extract-numbers

Usage

let str = '3030 results found';
extractNumbers(str);
//=> ['3030']

//multiple
str = '50 out of 100'
extractNumbers(str);
//=> ['50', '100']

//with commas
str = '100,000 people shortlisted out of 220,000,000 population'
extractNumbers(str);
//=> ['100,000', 220,000,000]

//decimals
str = 'Your rating is 8.7'
extractNumbers(str);
//=> ['8.7']

//decimals with commas
str = 'Your balance: $100,000.77, previous month: $90,899.89'
extractNumbers(str);
//=> ['100,000.77', '90,899.89']

//negatives and negative decimals
str = 'Temperature: -15°C, yesterday: -22°C, day before yesterday: -20.5°C;'
extractNumbers(str);
//=> ['-15', '-22', '-20.5']

//negatives with commas
str = '-170,000, -222,987 and -222,987,899.70 respectively.'
extractNumbers(str); 
//=> ['-170,000', '-222,987', '-222,987,899.70']

API

extractNumbers(str, options)

Returns an array of numbers.

__

options

Type: Object

string

Type: Boolean Default: true

If set to false, remove any commas and convert the whole array to numbers

let str = `The numbers are: 3030, 100,000, 100,000,000, 7.7, 90,899,232.89, 
-22, -15.7, -222,987,899 and -222,987,899.90 `;

extractNumbers(str, {string: false})
//=> [3030, 100000, 100000000, 7.7, 90899232.89, -22, -15.7, -222987899, -222987899.90]

Related

  • case-study - a library to find, count or verify uppercase and lowercase words in a string.

License

MIT © Talha Awan