import matplotlib.pyplot as plt import numpy as np from tools.statistics import extract, ressource def analyse(datas: list[dict]) -> plt.Figure: durations: dict[str] = dict.fromkeys(ressource.mission.choices, 0) # TODO : marqué en rouge la durée d'abandon ? # TODO : couleur par mission for data in datas: for survey in data["surveys"].keys(): # only scan survey mission if not survey.startswith("mission-"): continue durations[survey] += extract.mission_duration.extract(data, survey) x = list(durations.keys()) y = np.array(list(durations.values())) / len(datas) # prepare plotting figure: plt.Figure = plt.figure() axes = figure.add_subplot(1, 1, 1) axes.set_title("Temps total passé par mission") # bar chart axes.bar(x, y, color=ressource.mission.colors, edgecolor='black') axes.set_xlabel("Mission") axes.set_ylabel("Durée") axes.set_xticks(x) axes.set_xticklabels(ressource.mission.labels, rotation=45, ha="right") figure.tight_layout() return figure