70 lines
3 KiB
Python
70 lines
3 KiB
Python
from pathlib import Path
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from matplotlib import pyplot as plt
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from tools.statistics.analyse import (age, usage, completion_per_mission, duration_per_mission, completion_per_age,
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completion_per_usage, duration_per_age, duration_per_usage,
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completion_per_experience, duration_per_experience, experience, hardest_mission,
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language, duration_per_language, completion_per_language)
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plt.rcParams['text.usetex'] = True
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if __name__ == "__main__":
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from source.utils import compress
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import matplotlib
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matplotlib.use("pgf")
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matplotlib.rcParams.update({
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"pgf.texsystem": "pdflatex",
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'font.family': 'serif',
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'font.size': 11,
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'text.usetex': True,
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'pgf.rcfonts': False,
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})
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sondage_path = Path(r"./sondage/")
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graph_path = Path(r"./graph/")
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graph_path.mkdir(parents=True, exist_ok=True)
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# read every peoples survey data
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datas_all = [
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compress.uncompress_data(file.read_bytes()) # decompress the data
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for file in sondage_path.rglob("*.rsl")
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]
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# keep only the datas before the steam new year update
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datas_steam_version_1 = list(filter(lambda data: data["time"] < 1704409200, datas_all))
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# keep only the datas after the steam new year update
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datas_steam_version_2 = list(filter(lambda data: data["time"] >= 1704409200, datas_all))
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# regroup all the datas
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datasets = {
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"all": datas_all,
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"version_1": datas_steam_version_1,
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"version_2": datas_steam_version_2,
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}
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for datas_name, datas in datasets.items():
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directory = graph_path / datas_name
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directory.mkdir(parents=True, exist_ok=True)
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age.analyse(datas).savefig(directory / "age.svg")
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usage.analyse(datas).savefig(directory / "usage.svg")
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experience.analyse(datas).savefig(directory / "experience.svg")
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hardest_mission.analyse(datas).savefig(directory / "hardest_mission.svg")
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language.analyse(datas).savefig(directory / "language.svg")
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completion_per_mission.analyse(datas).savefig(directory / "completion_per_mission.svg")
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completion_per_age.analyse(datas).savefig(directory / "completion_per_age.svg")
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completion_per_usage.analyse(datas).savefig(directory / "completion_per_usage.svg")
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completion_per_experience.analyse(datas).savefig(directory / "completion_per_experience.svg")
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completion_per_language.analyse(datas).savefig(directory / "completion_per_language.svg")
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duration_per_mission.analyse(datas).savefig(directory / "duration_per_mission.svg")
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duration_per_age.analyse(datas).savefig(directory / "duration_per_age.svg")
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duration_per_usage.analyse(datas).savefig(directory / "duration_per_usage.svg")
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duration_per_experience.analyse(datas).savefig(directory / "duration_per_experience.svg")
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duration_per_language.analyse(datas).savefig(directory / "duration_per_language.svg")
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