diff --git a/experiment/meteo_france_SCM_study/main_visualize.py b/experiment/meteo_france_SCM_study/main_visualize.py
index 2d87709b9e28a0c8bcfd2631b92a9f65bff9c2a0..0df66c6d006c4956e7a90c7a9cce7ee2db2f9553 100644
--- a/experiment/meteo_france_SCM_study/main_visualize.py
+++ b/experiment/meteo_france_SCM_study/main_visualize.py
@@ -33,11 +33,11 @@ def study_iterator(study_class, only_first_one=False, both_altitude=False, verbo
 
 
 def extended_visualization():
-    save_to_file = True
+    save_to_file = False
     only_first_one = True
-    for study_class in SCM_EXTENDED_STUDIES[:]:
+    for study_class in SCM_EXTENDED_STUDIES[-1:]:
         for study in study_iterator(study_class, only_first_one=only_first_one):
-            study_visualizer = StudyVisualizer(study, save_to_file=save_to_file, only_one_graph=True, plot_block_maxima_quantiles=True)
+            study_visualizer = StudyVisualizer(study, save_to_file=save_to_file, only_one_graph=True, plot_block_maxima_quantiles=False)
             # study_visualizer.visualize_all_mean_and_max_graphs()
             study_visualizer.visualize_all_experimental_law()
     # for study_class in SCM_EXTENDED_STUDIES[:]:
@@ -73,6 +73,6 @@ def complete_analysis(only_first_one=False):
 
 
 if __name__ == '__main__':
-    normal_visualization()
-    # extended_visualization()
+    # normal_visualization()
+    extended_visualization()
     # complete_analysis()
diff --git a/experiment/meteo_france_SCM_study/safran/safran_visualizer.py b/experiment/meteo_france_SCM_study/safran/safran_visualizer.py
index bfbb7cdde6f544b76ab5f9a89afb1a8f5a4a72f9..0f5ed77e93b30c9f8b402aa007f684ddec547a8d 100644
--- a/experiment/meteo_france_SCM_study/safran/safran_visualizer.py
+++ b/experiment/meteo_france_SCM_study/safran/safran_visualizer.py
@@ -109,7 +109,9 @@ class StudyVisualizer(object):
         ax2 = ax.twiny() if self.vertical_kde_plot else ax.twinx()
         color_hist = 'k'
         orientation = "horizontal" if self.vertical_kde_plot else 'vertical'
-        ax2.hist(all_massif_data, bins=50, density=True, histtype='step', color=color_hist, orientation=orientation)
+        weights = np.ones_like(all_massif_data) / float(len(all_massif_data))
+        ax2.hist(all_massif_data, weights=weights, bins=50,
+                 histtype='step', color=color_hist, orientation=orientation)
         label_function = ax2.set_xlabel if self.vertical_kde_plot else ax2.set_ylabel
         # Do not display this label in the vertical plot
         if not self.vertical_kde_plot: