Git Product home page Git Product logo

Comments (1)

enekomartinmartinez avatar enekomartinmartinez commented on August 22, 2024

I think about two possible approaches.

The first one would be to use a numerical integration, this may be the easiest one to implement. It may be straightforward with scipy.integrate.quad for floats. But in the case of having dimensions, we need to check if there is something supporting xarray.DataArray inputs.

The other option would be to compute an analytical integration. This is, the LOOKUP AREA function integration should retrieve the x, y pairs from the Lookup object and using the slopes compute the exact area in each section of the lookup.

I currently don't have time to work on this but could help with support.

from pysd.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.