import matplotlib.pyplot as plt from tools.statistics import extract, ressource def analyse(datas: list[dict]) -> plt.Figure: missions = dict.fromkeys(ressource.mission.choices, 0) for data in datas: missions[extract.hardest_mission.extract(data)] += 1 x = list(missions.keys()) y = list(missions.values()) # prepare plotting figure: plt.Figure = plt.figure() axes = figure.add_subplot(1, 1, 1) axes.set_title("Mission la plus difficile des personnes sondées") # bar chart axes.bar(x, y, color=ressource.mission.colors, edgecolor='black') axes.set_xlabel("Mission") axes.set_ylabel("Quantité") axes.set_xticks(x) axes.set_xticklabels(ressource.mission.labels, rotation=45, ha="right") figure.tight_layout() return figure