45 lines
1.2 KiB
Python
45 lines
1.2 KiB
Python
import matplotlib.pyplot as plt
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import numpy as np
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from tools.statistics import extract
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def analyse(datas: list[dict]):
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durations: dict[str] = {
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"mission-language": 0,
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"mission-price": 0,
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"mission-community-hub": 0,
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"mission-game-page": 0,
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"mission-game-dlc": 0,
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"mission-actuality-new": 0,
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"mission-profile": 0,
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"mission-game-discussion": 0,
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"mission-gift-card": 0,
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"mission-workshop": 0,
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}
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# NOTE : séparé avant / après grosse mise à jour pour carte cadeau ?
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# NOTE : marqué en rouge la durée d'abandon ?
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for data in datas:
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for survey in data["surveys"].keys():
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# only scan survey mission
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if not survey.startswith("mission-"):
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continue
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durations[survey] += extract.mission_duration.extract(data, survey)
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x = list(durations.keys())
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y = np.array(list(durations.values())) / len(datas)
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# prepare plotting
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figure: plt.Figure = plt.figure()
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axes = figure.add_subplot(1, 1, 1)
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axes.set_title("Temps moyen passé par test")
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# bar chart
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axes.bar(x, y)
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axes.set_xticks(x)
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axes.set_xticklabels(x, rotation=45)
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plt.show(block=True)
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