[PAPER 1] add label to trend plot

experiment/paper_past_snow_loads/result_trends_and_return_levels/main_result_trends_and_return_levels.py

 import matplotlib as mpl
 import matplotlib.pyplot as plt
 
+from experiment.meteo_france_data.scm_models_data.visualization.study_visualization.main_study_visualizer import \
+    ALL_ALTITUDES_WITHOUT_NAN
 from experiment.paper_past_snow_loads.paper_utils import paper_study_classes, paper_altitudes, \
     load_altitude_to_visualizer
 from experiment.paper_past_snow_loads.result_trends_and_return_levels.eurocode_visualizer import \
@@ -17,9 +19,10 @@ mpl.rcParams['text.latex.preamble'] = [r'\usepackage{amsmath}']
 
 def minor_result(altitude):
     """Plot trends for a single altitude to be fast"""
-    visualizer = StudyVisualizerForNonStationaryTrends(CrocusSnowLoadTotal(altitude=altitude), multiprocessing=True)
+    visualizer = StudyVisualizerForNonStationaryTrends(CrocusSnowLoadTotal(altitude=altitude), multiprocessing=True,
+                                                       )
     visualizer.plot_trends()
-    plt.show()
+    # plt.show()
 
 
 def intermediate_result(altitudes, massif_names=None,
@@ -59,8 +62,9 @@ def major_result():
 
 if __name__ == '__main__':
     # major_result()
-    # intermediate_result(paper_altitudes)
-    minor_result(altitude=600)
+    # intermediate_result(ALL_ALTITUDES_WITHOUT_NAN)
+    intermediate_result(paper_altitudes)
+    # minor_result(altitude=600)
     # intermediate_result(altitudes=[1500, 1800], massif_names=['Chartreuse'],
     #                     uncertainty_methods=[ConfidenceIntervalMethodFromExtremes.ci_mle,
     #                                          ConfidenceIntervalMethodFromExtremes.ci_bayes],

experiment/paper_past_snow_loads/study_visualizer_for_non_stationary_trends.py

@@ -116,17 +116,22 @@ class StudyVisualizerForNonStationaryTrends(StudyVisualizer):
     def plot_trends(self, max_abs_tdrl=None):
         if max_abs_tdrl is not None:
             self.global_max_abs_tdrl = max_abs_tdrl
-        self.study.visualize_study(massif_name_to_value=self.massif_name_to_tdrl_value,
-                                   replace_blue_by_white=False, axis_off=False, show_label=False,
+        ax = self.study.visualize_study(massif_name_to_value=self.massif_name_to_tdrl_value,
+                                   replace_blue_by_white=False,
+                                    axis_off=False, show_label=False,
                                    add_colorbar=True,
                                    massif_name_to_marker_style=self.massif_name_to_marker_style,
                                    massif_name_to_color=self.massif_name_to_tdrl_color,
                                    cmap=self.cmap,
-                                   show=self.show,
+                                   show=False,
                                    ticks_values_and_labels=self.ticks_values_and_labels,
                                    label=self.label_tdrl_bar + ' for {}'.format(EUROCODE_RETURN_LEVEL_STR))
+        ax.get_xaxis().set_visible(True)
+        ax.set_xticks([])
+        ax.set_xlabel('Altitude = {}m'.format(self.study.altitude), fontsize=12)
+
         self.plot_name = 'tdlr_trends'
-        self.show_or_save_to_file(add_classic_title=False, tight_layout=False, no_title=True)
+        self.show_or_save_to_file(add_classic_title=False, tight_layout=True, no_title=True)
         plt.close()
 
     @property