New save for Plots update

simrunner/simrunner.py

@@ -127,8 +127,8 @@ args = parse_arguments()
 
 # Setup all paths and folders
 simulation_path = args.sim
-data_path = os.path.join(args.data, "output1")
-protokoll_path = os.path.join(args.protokoll, "protokoll")
+data_path = os.path.join(args.data, "output")
+protokoll_path = os.path.join(args.protokoll, "test_data")
 stat_path = os.path.join(data_path, "statistics")
 os.makedirs(protokoll_path, mode=0o777, exist_ok=True)
 os.makedirs(stat_path, mode=0o777, exist_ok=True)

visualizer/visualizer/SeabornPlotter.py

@@ -42,7 +42,7 @@ class SeabornPlotter:
         folder = self._make_folder('Various_Events')
         x = df['size']
         y = df['duration']
-        title = "Procedure: {}".format(self.name)
+        title = "Various Procedure: {}".format(self.name)
         bins_x, bins_y = self._prepare_bins(df)
         f, ax = plt.subplots(figsize=(16, 9))
         sns.histplot(x=x, y=y, color="blue", bins=[bins_x, bins_y])
@@ -57,6 +57,7 @@ class SeabornPlotter:
         plt.savefig(os.path.join(folder, f"{title}.svg"))
 
         plt.close()
+        print(title + "Plot done!")
 
     def plot_histogram_long(self):
         df = self.dataframe
@@ -69,14 +70,16 @@ class SeabornPlotter:
         sns.histplot(x=x, y=y, color="blue")
         self._add_logo("desy_logo.png", logo_size=0.15, logo_x=1.065, logo_y=1.04)
 
-        ax.set_xlabel("Data size [Bytes]")
+        ax.set_xlabel("Seconds since start")
         ax.set_ylabel("Time/Event [s]")
+        ax.set_yscale('log')
         plt.title(title)
         plt.grid(True)
         plt.xticks(rotation=45)
-        plt.savefig(os.path.join(folder, f"{title}.svg"))
+        plt.savefig(os.path.join(folder, f'{title}.svg'))
 
         plt.close()
+        print(title + " Plot done!")
 
     def plot_statistics(self):
         dataframes = self.dataframe
@@ -84,6 +87,7 @@ class SeabornPlotter:
         for df_key, df in dataframes.items():
             operations = df['Group'].unique()
             num_plots = len(operations)
+            title = df_key.replace(".dat", "")
             rows = 2  # Number of rows in the grid
             cols = (num_plots + 1) // rows  # Number of columns in the grid
             fig, axes = plt.subplots(rows, cols, figsize=(15, 8), constrained_layout=True)
@@ -103,6 +107,7 @@ class SeabornPlotter:
                 ax.grid(True)
                 ax.set_ylim(bottom=global_min_speed, top=global_max_speed)   # Set the Y-axis limits
 
-            plt.savefig(os.path.join(folder, f"{df_key}.svg"))
+            plt.savefig(os.path.join(folder, f"{title}.svg"))
 
             plt.close()
+            print(title + " Plot done!")

visualizer/visualizer/main.py

@@ -24,7 +24,7 @@ def main():
     s_plotter = SeabornPlotter(s_dataframes, 'statistics', statistics_path)
     s_plotter.plot_statistics()
 
-    # Plot Data
+    # Plot Various
     for frame in v_dataframes.keys():
         if not v_dataframes[frame].empty:
             # Setup Plotter
@@ -33,6 +33,7 @@ def main():
             # Plotter run
             v_plotter.plot_histogram_various()
 
+    # Plot Long
     for frame in l_dataframes.keys():
         if not v_dataframes[frame].empty:
             # Setup Plotter