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

interpo

v1.0.1

Published

piecewise cubic hermite interpolating polynomials (pchip) for node

Downloads

28

Readme

interpo

Piecewise cubic hermite spline interpolating polynomials (pchips) for Node.js.

Usage

var interpo = require("interpo");

var pchip = new interpo.Pchip(
  [1, 2,  3,  4,  5],
  [1, 7, 11, 14, 28]);

pchip.evaluate(3);   // 11
pchip.evaluate(4.2); // 15.464470588

Details

Interpolates known data points with a monotonic cubic spline.

See scipy's PchipInterpolator for mathematical details. Note that interpo does not use scipy's algorithm—you may observe slight differences between scipy's interpolants and ours. We instead link against the SLATEC PCHIP library.

API

new interpo.Pchip(x, f)

Creates a new PchipInterpolator approximating some function f(x) defined by the given data points.

  • x numeric array
    an array of strictly increasing x values for the known data points

  • f numeric array
    an array of f(x) values for the known data points

PchipInterpolator#evaluate(x)
  • x numeric
    an x value at which to evaluate the interpolant

Installation

npm install interpo

interpo links against an ancient Fortran mathematical library, SLATEC. You'll need GNU Fortran installed to compile this module.

Other Fortran compilers are not supported at this time. PRs welcome!

GNU Fortran

Debian/Ubuntu

Just install the gfortran package and you're good to go:

sudo apt-get install gfortran

OS X

You'll need to get a version of gfortran that matches the version of your gcc. The easiest way to do this is to use Homebrew to replace your entire GCC stack:

brew install gcc
brew link --force gcc

Changelog

v1.0.1

July 1, 2017. Support for Node v0.12, v4, v5, v6, v7, and v8.

v1.0.0

June 24, 2017. First release.