Resolve "release v1.4.0"

Closes #317 (closed)

mlair/run_modules/post_processing.py

@@ -21,7 +21,6 @@ from mlair.model_modules.linear_model import OrdinaryLeastSquaredModel
 from mlair.model_modules import AbstractModelClass
 from mlair.plotting.postprocessing_plotting import PlotMonthlySummary, PlotClimatologicalSkillScore, \
     PlotCompetitiveSkillScore, PlotTimeSeries, PlotBootstrapSkillScore, PlotConditionalQuantiles, PlotSeparationOfScales
-from mlair.plotting.preprocessing_plotting import PlotStationMap, PlotAvailability, PlotAvailabilityHistogram
 from mlair.run_modules.run_environment import RunEnvironment
 
 
@@ -325,23 +324,6 @@ class PostProcessing(RunEnvironment):
         except Exception as e:
             logging.error(f"Could not create plot PlotConditionalQuantiles due to the following error: {e}")
 
-        try:
-            if "PlotStationMap" in plot_list:
-                if self.data_store.get("hostname")[:2] in self.data_store.get("hpc_hosts") or self.data_store.get(
-                        "hostname")[:6] in self.data_store.get("hpc_hosts"):
-                    logging.warning(
-                        f"Skip 'PlotStationMap` because running on a hpc node: {self.data_store.get('hostname')}")
-                else:
-                    gens = [(self.train_data, {"marker": 5, "ms": 9}),
-                            (self.val_data, {"marker": 6, "ms": 9}),
-                            (self.test_data, {"marker": 4, "ms": 9})]
-                    PlotStationMap(generators=gens, plot_folder=self.plot_path)
-                    gens = [(self.train_val_data, {"marker": 8, "ms": 9}),
-                            (self.test_data, {"marker": 9, "ms": 9})]
-                    PlotStationMap(generators=gens, plot_folder=self.plot_path, plot_name="station_map_var")
-        except Exception as e:
-            logging.error(f"Could not create plot PlotStationMap due to the following error: {e}")
-
         try:
             if "PlotMonthlySummary" in plot_list:
                 PlotMonthlySummary(self.test_data.keys(), path, r"forecasts_%s_test.nc", self.target_var,
@@ -372,22 +354,6 @@ class PostProcessing(RunEnvironment):
         except Exception as e:
             logging.error(f"Could not create plot PlotTimeSeries due to the following error: {e}")
 
-        try:
-            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_dim,
-                                 window_dimension=window_dim)
-        except Exception as e:
-            logging.error(f"Could not create plot PlotAvailability due to the following error: {e}")
-
-        try:
-            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, station_dim=iter_dim,
-                                          history_dim=window_dim)
-        except Exception as e:
-            logging.error(f"Could not create plot PlotAvailabilityHistogram due to the following error: {e}")
-
     def calculate_test_score(self):
         """Evaluate test score of model and save locally."""