diff --git a/projects/altitude_spatial_model/altitudes_fit/main_altitudes_studies.py b/projects/altitude_spatial_model/altitudes_fit/main_altitudes_studies.py
index 60832aca40910268b742703d377e7a055c0a2d06..90277398940779d74f28c9e21fd385716631bc3a 100644
--- a/projects/altitude_spatial_model/altitudes_fit/main_altitudes_studies.py
+++ b/projects/altitude_spatial_model/altitudes_fit/main_altitudes_studies.py
@@ -11,7 +11,10 @@ from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.altitudes_s
def plot_altitudinal_fit(studies):
visualizer = AltitudesStudiesVisualizerForNonStationaryModels(studies=studies,
model_classes=ALTITUDINAL_MODELS,
- massif_names=['Belledonne'])
+ massif_names=['Belledonne'],
+ show=True)
+ visualizer.plot_mean()
+ visualizer.plot_relative_change()
def plot_time_series(studies):
diff --git a/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/altitudes_studies_visualizer_for_non_stationary_models.py b/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/altitudes_studies_visualizer_for_non_stationary_models.py
index 9feb94a21b2512ca01c97769e1ec4b7e13044e70..0ea2b5e9bb366e6f74ffc26841e918b170f95d86 100644
--- a/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/altitudes_studies_visualizer_for_non_stationary_models.py
+++ b/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/altitudes_studies_visualizer_for_non_stationary_models.py
@@ -1,6 +1,12 @@
from typing import List
+import matplotlib.pyplot as plt
+
+import numpy as np
from extreme_data.meteo_france_data.scm_models_data.abstract_study import AbstractStudy
+from extreme_data.meteo_france_data.scm_models_data.visualization.main_study_visualizer import \
+ SCM_STUDY_CLASS_TO_ABBREVIATION
+from extreme_data.meteo_france_data.scm_models_data.visualization.plot_utils import plot_against_altitude
from extreme_data.meteo_france_data.scm_models_data.visualization.study_visualizer import StudyVisualizer
from extreme_fit.model.margin_model.polynomial_margin_model.spatio_temporal_polynomial_model import \
AbstractSpatioTemporalPolynomialModel
@@ -24,4 +30,31 @@ class AltitudesStudiesVisualizerForNonStationaryModels(StudyVisualizer):
for massif_name in self.massif_names:
dataset = studies.spatio_temporal_dataset(massif_name=massif_name)
old_fold_fit = OneFoldFit(dataset, model_classes)
- self.massif_name_to_one_fold_fit[massif_name] = old_fold_fit
\ No newline at end of file
+ self.massif_name_to_one_fold_fit[massif_name] = old_fold_fit
+
+ def plot_mean(self):
+ self.plot_general('mean')
+
+ def plot_relative_change(self):
+ self.plot_general('relative_changes_in_the_mean')
+
+ def plot_general(self, method_name):
+ ax = plt.gca()
+ min_altitude, *_, max_altitude = self.studies.altitudes
+ altitudes = np.linspace(min_altitude, max_altitude, num=50)
+ for massif_id, massif_name in enumerate(self.massif_names):
+ old_fold_fit = self.massif_name_to_one_fold_fit[massif_name]
+ values = old_fold_fit.__getattribute__(method_name)(altitudes)
+ plot_against_altitude(altitudes, ax, massif_id, massif_name, values)
+ # Plot settings
+ ax.legend(prop={'size': 7}, ncol=3)
+ moment = ' '.join(method_name.split('_'))
+ plot_name = '{} annual maxima of {}'.format(moment, SCM_STUDY_CLASS_TO_ABBREVIATION[self.studies.study_class])
+ ax.set_ylabel('{} ({})'.format(plot_name, self.study.variable_unit), fontsize=15)
+ ax.set_xlabel('altitudes', fontsize=15)
+ # lim_down, lim_up = ax.get_ylim()
+ # lim_up += (lim_up - lim_down) / 3
+ # ax.set_ylim([lim_down, lim_up])
+ ax.tick_params(axis='both', which='major', labelsize=13)
+ self.studies.show_or_save_to_file(plot_name=plot_name, show=self.show)
+ ax.clear()
diff --git a/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/one_fold_fit.py b/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/one_fold_fit.py
index f1486e1037f4290cb077e2ac5f5871f59256c428..312caafb98d14da434a8beeeb3c2cbe5436276b3 100644
--- a/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/one_fold_fit.py
+++ b/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/one_fold_fit.py
@@ -1,3 +1,6 @@
+import numpy as np
+from cached_property import cached_property
+
from extreme_fit.estimator.margin_estimator.utils import fitted_linear_margin_estimator_short
from extreme_fit.model.margin_model.utils import MarginFitMethod
@@ -18,3 +21,35 @@ class OneFoldFit(object):
# Some display
for estimator in self.model_class_to_estimator.values():
print(estimator.result_from_model_fit.aic)
+
+ @cached_property
+ def best_estimator(self):
+ sorted_estimators = sorted([estimator for estimator in self.model_class_to_estimator.values()],
+ key=lambda e: e.result_from_model_fit.aic)
+ estimator_that_minimizes_aic = sorted_estimators[0]
+ return estimator_that_minimizes_aic
+
+ @property
+ def best_function_from_fit(self):
+ return self.best_estimator.function_from_fit
+
+ def mean(self, altitudes, year=2019):
+ return [self.get_mean(altitude, year) for altitude in altitudes]
+
+ def get_mean(self, altitude, year):
+ coordinate = np.array([altitude, year])
+ gev_params = self.best_function_from_fit.get_params(coordinate, is_transformed=False)
+ return gev_params.mean
+
+ def relative_changes_in_the_mean(self, altitudes, year=2019, nb_years=50):
+ relative_changes = []
+ for altitude in altitudes:
+ mean_after = self.get_mean(altitude, year)
+ mean_before = self.get_mean(altitude, year - nb_years)
+ relative_change = 100 * (mean_after - mean_before) / mean_before
+ relative_changes.append(relative_change)
+ return relative_changes
+
+
+
+