[SCM] some parameters modification to create poster for the Doctoriales

experiment/meteo_france_SCM_study/crocus/crocus.py

@@ -17,7 +17,7 @@ class Crocus(AbstractStudy):
 
     @property
     def variable_name(self):
-        suffix = '' if self.altitude == 2400 else ' instantaneous data observed sampled every 24 hours'
+        suffix = '' if self.altitude == 2400 else ' sampled every 24 hours'
         return super().variable_name + suffix
 
     def annual_aggregation_function(self, *args, **kwargs):

experiment/meteo_france_SCM_study/visualization/study_visualization/main_study_visualizer.py

@@ -72,12 +72,12 @@ def normal_visualization(temporal_non_stationarity=False):
     save_to_file = False
     only_first_one = True
     # for study_class in SCM_STUDIES[:1]:
-    for study_class in [SafranSnowfall, SafranRainfall, SafranTemperature][:1]:
+    for study_class in [CrocusDepth, SafranSnowfall, SafranRainfall, SafranTemperature][:1]:
         for study in study_iterator(study_class, only_first_one=only_first_one):
             study_visualizer = StudyVisualizer(study, save_to_file=save_to_file, temporal_non_stationarity=temporal_non_stationarity)
             # study_visualizer.visualize_independent_margin_fits(threshold=[None, 20, 40, 60][0])
             # study_visualizer.visualize_annual_mean_values()
-            study_visualizer.visualize_linear_margin_fit(only_first_max_stable=True)
+            study_visualizer.visualize_linear_margin_fit(only_first_max_stable=None)
 
 
 def complete_analysis(only_first_one=False):
@@ -97,7 +97,7 @@ def complete_analysis(only_first_one=False):
 
 if __name__ == '__main__':
     # annual_mean_vizu_compare_durand_study(safran=True, take_mean_value=True, altitude=2400)
-    normal_visualization(temporal_non_stationarity=False)
+    # normal_visualization(temporal_non_stationarity=False)
     # max_stable_process_vizu_compare_gaume_study(altitude=1800, nb_days=1)
-    # extended_visualization()
+    extended_visualization()
     # complete_analysis()

experiment/meteo_france_SCM_study/visualization/study_visualization/study_visualizer.py

@@ -126,8 +126,8 @@ class StudyVisualizer(object):
 
     def visualize_all_experimental_law(self):
         self.visualize_massif_graphs(self.visualize_experimental_law)
-        self.plot_name = ' Empirical distribution '
-        self.plot_name += 'with all available data' if self.year_for_kde_plot is None else \
+        self.plot_name = ' Empirical distribution \n'
+        self.plot_name += 'with data from the 23 mountain chains of the French Alps ' if self.year_for_kde_plot is None else \
             'for the year {}'.format(self.year_for_kde_plot)
         self.show_or_save_to_file()
 
@@ -194,7 +194,7 @@ class StudyVisualizer(object):
         # extraticks = [float(float_to_str_with_only_some_significant_digits(x, nb_digits=2))
         #               for x in sorted_x_levels]
         # Display only some specific ticks
-        extraticks_names = ['mean', AbstractParams.QUANTILE_100]
+        extraticks_names = ['mean', AbstractParams.QUANTILE_10, AbstractParams.QUANTILE_100, 'maxima']
         if self.plot_block_maxima_quantiles:
             extraticks_names += [name for name in name_to_xlevel_and_color.keys() if BLOCK_MAXIMA_DISPLAY_NAME in name]
         extraticks = [name_to_xlevel_and_color[name][0] for name in extraticks_names]