add PlotAvailabilityHistogram to postprocessing call

mlair/run_modules/post_processing.py

@@ -19,8 +19,8 @@ from mlair.helpers import TimeTracking, statistics, extract_value
 from mlair.model_modules.linear_model import OrdinaryLeastSquaredModel
 from mlair.model_modules.model_class import AbstractModelClass
 from mlair.plotting.postprocessing_plotting import PlotMonthlySummary, PlotStationMap, PlotClimatologicalSkillScore, \
-    PlotCompetitiveSkillScore, PlotTimeSeries, PlotBootstrapSkillScore, PlotAvailability, PlotConditionalQuantiles, \
-    PlotSeparationOfScales
+    PlotCompetitiveSkillScore, PlotTimeSeries, PlotBootstrapSkillScore, PlotAvailability, PlotAvailabilityHistogram,  \
+    PlotConditionalQuantiles, PlotSeparationOfScales
 from mlair.run_modules.run_environment import RunEnvironment
 
 
@@ -293,6 +293,10 @@ class PostProcessing(RunEnvironment):
         if "PlotAvailability" in plot_list:
             avail_data = {"train": self.train_data, "val": self.val_data, "test": self.test_data}
             PlotAvailability(avail_data, plot_folder=self.plot_path, time_dimension=time_dimension)
+        if "PlotAvailabilityHistogram" in plot_list:
+            avail_data = {"train": self.train_data, "val": self.val_data, "test": self.test_data}
+            PlotAvailabilityHistogram(avail_data, plot_folder=self.plot_path, )# time_dimension=time_dimension)
+
 
     def calculate_test_score(self):
         """Evaluate test score of model and save locally."""