Giter VIP home page Giter VIP logo

wcc_analysis's Introduction

wcc_analysis

Lichess page documentation: https://lichess.org/page/world-championships

Each WCC has a study, studies are fetched using: https://lichess.org/api#operation/studyAllChaptersPgn

Source PGNs are found in /analysed_pgns

Analysiscsv.py for extracting analysis and exporting as CSV - sample export is found in analysis.csv

Visualize.py takes in CSV and makes some charts, examples are shown below.

Output 1: Table of games by combined ACPL

Year Game No. White Player Black Player Combined ACPL
2021 3 Nepomniachtchi, Ian Carlsen, Magnus 6.62
1978 15 Kortschnoj, Viktor Karpov, Anatoly 6.67
1987 18 Kasparov, Gary Karpov, Anatoly 6.69
1972 16 Fischer, Robert James Spassky, Boris V 6.86
2014 9 Carlsen, Magnus Anand, Viswanathan 6.95
.... .... .... ... ...
1886 11 Zukertort, Johannes Hermann Steinitz, William 153.59
1957 9 Botvinnik, Mikhail Smyslov, Vassily 154.90
1892 19 Chigorin, Mikhail Steinitz, William 167.13
1889 15 Chigorin, Mikhail Steinitz, William 211.98
1892 15 Chigorin, Mikhail Steinitz, William 212.33

Output 2: Some graphs of average combined acpl vs. time

Barplot Boxenplot Boxplot Boxplot2 Boxplot_acpl Stripplot Violinplot Scatterplot Regplot Lmplot

Output 3: All games by ACPL vs. num moves

Note some games are off the table in both x and y axes. Gamelengthplot

wcc_analysis's People

Contributors

sebastien32 avatar benediktwerner avatar michael1241 avatar

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.