import matplotlib.pyplot as plt import numpy as np from tools.statistics import extract, ressource def analyse(datas: list[dict]) -> plt.Figure: experience_completion: dict[str, int] = dict.fromkeys(ressource.experience.choices, 0) experience_count: dict[str, int] = dict.fromkeys(ressource.experience.choices, 0) for data in datas: experience = extract.experience.extract(data) experience_count[experience] += 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): experience_completion[experience] += 1 x = list(experience_completion.keys()) y = ( np.array(list(experience_completion.values())) / np.array(list(experience_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 opinion") # bar chart axes.bar(x, y, color=ressource.experience.colors, edgecolor='black') axes.set_xticks(x) axes.set_xticklabels(ressource.experience.labels) axes.set_xlabel("Expérience") axes.set_ylabel("Complétion") return figure