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SplatStats

PyPI - Python Version PyPI version License: GPL v3 Open Source? Yes!

UNDER DEVELOPMENT

This codebase works in tandem with the s3s package to refactor and analayze Splatoon 3's data. When finished, it will be able to load s3s package json files, re-shape them, and visualize the data from battles history.

Have a look at our documentation for more information on how to install and use this package!


Matches History Panel

This panel is constructed as a panel composed of two different figures. The top one is a detailed breakdown of the statistics of each battle. Each column on the x axis represents a single battle; where the left y axis shows the number of kills, deaths, assists and specials; and the right y axis the turf painted over the match (bars on the plot).

Kills VS Deaths Distributions

These paired histograms show the frequency distributions of the number of kills or kassists (top, blue), and the number of deaths (bottom, magenta) across matches.

Stage/Weapons Stats Treemaps

These plots are designed to show which stages are the ones in which the player performs best on any given stage with respect to a selected metric. Auxiliary provided functions generate the statistics dataframe required for these plots, which includes: kills, deaths, win ratio, paint, total matches; amongst many others. These statistics can be also generated for a specific match type (Rainmaker, Turf War, Tower Control, etc), or for a combination of them.

Moreover, these plots can be generated for any arbitrary key in the dataframe: main weapon, sub weapon, head gear, etc.

Author

I'll be writing a blogpost on my website with more information about the development, planned features, and some analyses on my own Splatoon matches data!

Héctor M. Sánchez C.

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0.3.5

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