Analysiscsv.py for extracting analysis and exporting as CSV

Last update: Apr 25, 2022

Related tags

Data Analysis wcc_analysis

Overview

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

Output 3: All games by ACPL vs. num moves

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

Owner

GitHub Repository

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