from collections import OrderedDict import matplotlib as mpl mpl.use('Agg') mpl.rcParams['text.usetex'] = True mpl.rcParams['text.latex.preamble'] = [r'\usepackage{amsmath}'] import matplotlib.pyplot as plt from projects.projected_snowfall.evaluation.comparison_plot import individual_plot from extreme_data.meteo_france_data.adamont_data.adamont.adamont_snowfall import AdamontSnowfall from extreme_data.meteo_france_data.adamont_data.adamont_scenario import AdamontScenario, get_gcm_rcm_couples, \ scenario_to_real_scenarios, rcp_scenarios, rcm_scenarios_extended from extreme_data.meteo_france_data.adamont_data.adamont_studies import AdamontStudies from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall1Day from extreme_data.meteo_france_data.scm_models_data.utils import Season def main(): scm_study_class = SafranSnowfall1Day adamont_study_class = AdamontSnowfall year_min = 2006 year_max = 2100 massif_names = ['Vanoise'] season = Season.annual scenarios = rcm_scenarios_extended scenarios = rcp_scenarios altitudes = [600, 2100, 3600] for altitude, adamont_scenario in list(zip(altitudes, scenarios))[:]: plt.figure(figsize=(10, 5)) # Loading part scm_study = scm_study_class(altitude=altitude) real_adamont_scenario = scenario_to_real_scenarios(adamont_scenario=adamont_scenario)[-1] gcm_rcm_couples = get_gcm_rcm_couples(adamont_scenario=real_adamont_scenario) adamont_studies = AdamontStudies(study_class=adamont_study_class, gcm_rcm_couples=gcm_rcm_couples, altitude=altitude, year_min_studies=year_min, year_max_studies=year_max, season=season, scenario=adamont_scenario) print(altitude, adamont_scenario) adamont_studies.plot_maxima_time_series_adamont(massif_names=massif_names, scm_study=scm_study, legend_and_labels=True) if __name__ == '__main__': main()