CSVVisualizer.py aktualisiert

Open the CSV

Find the first line where the first cell starts with "Cycle"

Use that entire line as the plot title
(Chat)

CSVVisualizer.py

@@ -68,11 +68,13 @@ class CSVVisualizer:
         if not filepath:
             return
 
+        self.graph_title = "Battery Test Analysis"  # Default title
         with open(filepath, 'r') as f:
             reader = csv.reader(f)
-            headers = next(reader)  # Zeile 0
-            second_line = next(reader, [])  # Zeile 1 (Titel)
-            self.graph_title = second_line[0] if second_line else "Battery Test Analysis"
+            for row in reader:
+                if row and row[0].startswith("Cycle"):
+                    self.graph_title = ", ".join(row).strip()
+                    break
     
         try:
             # First detect problematic lines
@@ -103,7 +105,7 @@ class CSVVisualizer:
                 return
 
             # Now read only valid lines
-            self.status_var.set("Verarbeite gültige Zeilen…")
+            self.status_var.set("Verarbeite gültige Zeile...")
             self.root.update_idletasks()
             self.df = pd.read_csv(
                 filepath,
@@ -123,7 +125,7 @@ class CSVVisualizer:
             )
             
             self.file_label.config(text=os.path.basename(filepath))
-            self.status_var.set(f"Loaded: {len(self.df)} valid measurements")
+            self.status_var.set(f"Working with: {len(self.df)} valid measurements...")
             self.root.update_idletasks()
             self.update_plot()
             
@@ -148,7 +150,7 @@ class CSVVisualizer:
         # Spannung plotten
         self.ax.plot(df_clean["Relative_Time(s)"], df_clean["Voltage(V)"], 
                     label="Voltage (V)", color="black", linewidth=1.5)
-        self.ax.margins(x=0)
+        #self.ax.margins(x=0)
         
         # Phasen als farbige Hintergründe
         start_idx = 0