Piecewise cubic hermite spline interpolating polynomials (pchips) for Node.js.
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
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.
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 numericnpm 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!
Just install the gfortran package and you're good to go:
sudo apt-get install gfortran
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
July 1, 2017. Support for Node v0.12, v4, v5, v6, v7, and v8.
June 24, 2017. First release.
FAQs
piecewise cubic hermite interpolating polynomials (pchip) for node
The npm package interpo receives a total of 2 weekly downloads. As such, interpo popularity was classified as not popular.
We found that interpo demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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