import matplotlib.pyplot as plt import numpy as np from tools.statistics import extract, ressource def analyse(datas: list[dict]) -> plt.Figure: languages_completion: dict[str, int] = dict.fromkeys(ressource.language.choices, 0) languages_count: dict[str, int] = dict.fromkeys(ressource.language.choices, 0) for data in datas: language = extract.language.extract(data) languages_count[language] += 1 for survey, survey_data in data["surveys"].items(): # only scan survey mission if not survey.startswith("mission-"): continue if extract.mission_completed.extract(data, survey): languages_completion[language] += 1 x = list(languages_completion.keys()) y = ( np.array(list(languages_completion.values())) / np.array(list(languages_count.values())) ) # prepare plotting figure: plt.Figure = plt.figure() axes = figure.add_subplot(1, 1, 1) axes.set_title("Nombre moyen de mission complété par langue") # bar chart axes.bar(x, y, color=ressource.language.colors, edgecolor='black') axes.set_xticks(x) axes.set_xticklabels(ressource.language.labels) axes.set_xlabel("Langue") axes.set_ylabel("Complétion") return figure