clean up of #112, related to #113

src/run_modules/experiment_setup.py

@@ -21,7 +21,7 @@ DEFAULT_VAR_ALL_DICT = {'o3': 'dma8eu', 'relhum': 'average_values', 'temp': 'max
                         'pblheight': 'maximum'}
 DEFAULT_TRANSFORMATION = {"scope": "data", "method": "standardise", "mean": "estimate"}
 DEFAULT_PLOT_LIST = ["PlotMonthlySummary", "PlotStationMap", "PlotClimatologicalSkillScore", "PlotTimeSeries",
-                     "PlotCompetitiveSkillScore", "PlotBootstrapSkillScore", "plot_conditional_quantiles",
+                     "PlotCompetitiveSkillScore", "PlotBootstrapSkillScore", "PlotConditionalQuantiles",
                      "PlotAvailability"]
 
 

src/run_modules/post_processing.py

@@ -195,7 +195,7 @@ class PostProcessing(RunEnvironment):
 
         if self.bootstrap_skill_scores is not None and "PlotBootstrapSkillScore" in plot_list:
             PlotBootstrapSkillScore(self.bootstrap_skill_scores, plot_folder=self.plot_path, model_setup="CNN")
-        if "plot_conditional_quantiles" in plot_list:
+        if "PlotConditionalQuantiles" in plot_list:
             PlotConditionalQuantiles(self.test_data.stations, data_pred_path=path, plot_folder=self.plot_path)
         if "PlotStationMap" in plot_list:
             PlotStationMap(generators={'b': self.test_data}, plot_folder=self.plot_path)