36 lines
1 KiB
Python
36 lines
1 KiB
Python
import matplotlib.pyplot as plt
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import numpy as np
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from tools.statistics import extract, ressource
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def analyse(datas: list[dict]) -> plt.Figure:
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usage_completion: dict[str, int] = dict.fromkeys(ressource.usage.choices, 0)
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usage_count: dict[str, int] = dict.fromkeys(ressource.usage.choices, 0)
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for data in datas:
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usage = extract.usage.extract(data)
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usage_count[usage] += 1
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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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usage_completion[usage] += extract.mission_duration.extract(data, survey)
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x = list(usage_completion.keys())
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y = (
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np.array(list(usage_completion.values()))
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/ np.array(list(usage_count.values()))
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)
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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 niveau")
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# bar chart
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axes.bar(x, y, edgecolor='black')
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return figure
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