GithubHelp home page GithubHelp logo

Comments (4)

frozenblit avatar frozenblit commented on August 17, 2024

Have you tried using spikes.groupby('cl')? Then you can loop over the tuples (cluster_number, spikes within that cluster) and use all the pandas machinery to efficiently calculate the grouped means and amplitudes. In my experience that was much faster than iterating over the cluster labels.

from hs2.

mhhennig avatar mhhennig commented on August 17, 2024

Indeed, wow, thank you Fernando! This is now much faster, and as a side effect, DBSCAN now works flawlessly.

from hs2.

frozenblit avatar frozenblit commented on August 17, 2024

Pandas is magical ;)

from hs2.

martinosorb avatar martinosorb commented on August 17, 2024

Ah, this is my fault, I don't understand Pandas very well. Thanks Fernando!

from hs2.

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.