code qualy

FZJ-IEK3-VSA · Nov 18, 2024 · c3e55c3 · c3e55c3
1 parent 2ecf807
commit c3e55c3
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Showing 2 changed files with 11 additions and 7 deletions.
diff --git a/hisim/postprocessing/scenario_evaluation/result_data_collection.py b/hisim/postprocessing/scenario_evaluation/result_data_collection.py
@@ -213,8 +213,10 @@ def filter_results_that_failed_to_heat_or_cool_building_sufficiently(
                         except Exception as exc:
                             content = data_info_file.read()
                             if content.strip() == "":
-                                raise ValueError("The json file is empty. Maybe run the simulation again. "
-                                      f"The concerned folder is {folder}") from exc
+                                raise ValueError(
+                                    "The json file is empty. Maybe run the simulation again. "
+                                    f"The concerned folder is {folder}"
+                                ) from exc
                         component_entries = kpi_data["componentEntries"]
                         for component in component_entries:
                             if "Building" in component["componentName"]:
@@ -568,7 +570,9 @@ def store_scenario_data_with_the_right_name_and_in_the_right_path(
         if os.path.exists(path_for_file) is False:
             os.makedirs(path_for_file)
 
-        filename = os.path.join(path_for_file, f"result_df_{kind_of_data_set}_{scenario_analysis_config_name}.{data_format_type}",)
+        filename = os.path.join(
+            path_for_file, f"result_df_{kind_of_data_set}_{scenario_analysis_config_name}.{data_format_type}",
+        )
         return filename
 
     def get_default_config(self, path_to_default_config: Optional[str]) -> Any:

diff --git a/hisim/postprocessing/scenario_evaluation/result_data_plotting.py b/hisim/postprocessing/scenario_evaluation/result_data_plotting.py
@@ -387,10 +387,10 @@ def make_bar_plot(self, x_and_y_plot_data: pd.DataFrame, unit: str, y_axis_label
         )
         # if no scenarios chosen, make artificial x ticks
         # if self.data_processing_mode == ResultDataProcessingModeEnum.PROCESS_ALL_DATA.name:
-            # x_data = np.arange(0, len(y_data) * 2, step=2)
-            # rotate_x_ticks = False
-            # x_axis_label = ""
-            # show_x_ticks = False
+        # x_data = np.arange(0, len(y_data) * 2, step=2)
+        # rotate_x_ticks = False
+        # x_axis_label = ""
+        # show_x_ticks = False
         # # otherwise choose scenarios as x-ticks
         # else:
         x_data = bar_labels_sorted