/SelfAnalysisLOL

This project analyzes League of Legends Player data and generates a heatmap for visualization

Primary LanguageJupyter Notebook

SelfAnalysisLOL

backupMain.py contains the execution of the code to generate heatmap from existing .csv files

  • To query your own data, you must generate your own API Key and put it in RiotConsts.py under API_KEY

The RiotAPI class is responsible for making API Calls/Requests from RiotAPI Website: https://developer.riotgames.com/

The RiotParser class does the following:

Given the match data from get_match_by_matchid from RiotAPI Returns a panda Dataframe with the following column information (in this order):

  • Summoner name
  • Game Duration
  • Match Result
  • Champion
  • Creep Score
  • Gold Total
  • Champion Level
  • Vision Score

getSummoners.ipynb

  • Shows the code execution of this projects Data Retrieval Process
  • Retrieves Data from the Following Summoners:
    • Controleed Freak
    • Ender Dragon 3
    • cyrs7
    • Belox
    • TF Blade
    • Adrian Riven

graphSummonerData.ipynb

  • Shows the code execution/heat map of the data collected
  • Shows the Heat Map relationship for Winrate of the Summoners with respect to Game Duration

All Documentation can be found in the classes

To see the final product of this project, open graphSummonerData.ipynb