# -*- coding: utf-8 -*- import os import csv import pandas as pd import matplotlib.pyplot as plt import matplotlib.patches as mpatches from tkinter import Tk, filedialog, messagebox from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg import tkinter as tk from tkinter import ttk class CSVVisualizer: def __init__(self, root): self.root = root self.root.protocol("WM_DELETE_WINDOW", self.cleanup) self.root.title("CSV to Graph Converter") self.root.geometry("1000x700") # Farben für die Phasen self.phase_colors = { "Charge": "#4E79A7", # Blau "Discharge": "#E15759", # Rot "Resting (Post-Charge)": "#59A14F", # Grün "Resting (Post-Discharge)": "#EDC948", # Gelb "Resting Between Cycles": "#B07AA1", # Lila "Initial Discharge": "#FF9DA7" # Rosa } self.setup_ui() def setup_ui(self): """Erstellt die Benutzeroberfläche""" main_frame = ttk.Frame(self.root) main_frame.pack(fill=tk.BOTH, expand=True, padx=10, pady=10) # Steuerleiste oben control_frame = ttk.Frame(main_frame) control_frame.pack(fill=tk.X, pady=(0, 10)) ttk.Button(control_frame, text="CSV auswählen", command=self.load_csv).pack(side=tk.LEFT, padx=5) ttk.Button(control_frame, text="Grafik speichern", command=self.save_plot).pack(side=tk.LEFT, padx=5) # Anzeige des aktuellen Dateipfads self.file_label = ttk.Label(control_frame, text="Keine Datei ausgewählt") self.file_label.pack(side=tk.LEFT, padx=10, expand=True) # Plot-Bereich self.plot_frame = ttk.Frame(main_frame) self.plot_frame.pack(fill=tk.BOTH, expand=True) # Platzhalter für den Plot self.fig, self.ax = plt.subplots(figsize=(10, 5)) self.canvas = FigureCanvasTkAgg(self.fig, master=self.plot_frame) self.canvas.get_tk_widget().pack(fill=tk.BOTH, expand=True) # Statusleiste self.status_var = tk.StringVar() self.status_var.set("Bereit") ttk.Label(main_frame, textvariable=self.status_var, relief=tk.SUNKEN).pack(fill=tk.X, pady=(5, 0)) def load_csv(self): """Load CSV file with robust error handling for Raspberry Pi""" filepath = filedialog.askopenfilename( title="Select CSV File", filetypes=[("CSV Files", "*.csv"), ("All Files", "*.*")] ) if not filepath: return try: # First detect problematic lines good_lines = [] with open(filepath, 'r') as f: reader = csv.reader(f) headers = next(reader) # Keep header for i, row in enumerate(reader): # Skip summary lines and malformed rows if not row or len(row) < 4 or row[0].startswith('Cycle'): continue # Validate numeric columns try: float(row[0]) # Time(s) float(row[1]) # Voltage(V) float(row[2]) # Current(A) good_lines.append(i+1) # +1 to account for header except ValueError: continue if not good_lines: messagebox.showwarning("Warnung", "Keine gültigen Datenzeilen gefunden.") self.status_var.set("Keine gültigen Daten") return # Now read only valid lines self.df = pd.read_csv( filepath, skiprows=lambda x: x not in good_lines and x != 0, # keep header dtype={ 'Time(s)': 'float32', 'Voltage(V)': 'float32', 'Current(A)': 'float32', 'Phase': 'category', 'Discharge_Capacity(Ah)': 'float32', 'Charge_Capacity(Ah)': 'float32', 'Coulomb_Eff(%)': 'float32', 'Cycle': 'int32' }, engine='c', memory_map=True ) self.file_label.config(text=os.path.basename(filepath)) self.status_var.set(f"Loaded: {len(self.df)} valid measurements") self.update_plot() except Exception as e: messagebox.showerror("Error", f"Failed to load file:\n{str(e)}") self.status_var.set("Error loading file") def update_plot(self): """Aktualisiert den Plot mit den aktuellen Daten""" if not hasattr(self, 'df'): return df_clean = self.df.copy() # Zeit relativ zum Start berechnen start_time = df_clean["Time(s)"].min() df_clean["Relative_Time(s)"] = df_clean["Time(s)"] - start_time # Plot zurücksetzen self.ax.clear() # Spannung plotten self.ax.plot(df_clean["Relative_Time(s)"], df_clean["Voltage(V)"], label="Voltage (V)", color="black", linewidth=1.5) # Phasen als farbige Hintergründe start_idx = 0 for i in range(1, len(df_clean)): if df_clean.iloc[i]["Phase"] != df_clean.iloc[i-1]["Phase"] or i == len(df_clean) - 1: end_idx = i start_time_rel = df_clean.iloc[start_idx]["Relative_Time(s)"] end_time_rel = df_clean.iloc[end_idx]["Relative_Time(s)"] phase = df_clean.iloc[start_idx]["Phase"] # Verwende Standardfarbe falls Phase nicht definiert ist color = self.phase_colors.get(phase, "#CCCCCC") self.ax.axvspan(start_time_rel, end_time_rel, facecolor=color, alpha=0.3) start_idx = i # Legende erstellen patches = [mpatches.Patch(color=self.phase_colors[phase], label=phase) for phase in self.phase_colors if phase in df_clean["Phase"].unique()] # Füge Spannungs-Linie zur Legende hinzu patches.append(plt.Line2D([0], [0], color='black', label='Voltage (V)')) self.ax.legend(handles=patches, loc="upper right") self.ax.set_xlabel("Time (s) since start") self.ax.set_ylabel("Voltage (V)") self.ax.set_title("Battery Test Analysis") self.ax.grid(True) # Aktualisiere den Canvas self.canvas.draw() self.status_var.set("Grafik aktualisiert") def save_plot(self): """Speichert den aktuellen Plot als Bilddatei""" if not hasattr(self, 'df'): messagebox.showwarning("Warnung", "Keine Daten zum Speichern vorhanden") return filetypes = [ ('PNG Image', '*.png'), ('JPEG Image', '*.jpg'), ('PDF Document', '*.pdf'), ('SVG Vector', '*.svg') ] default_filename = "battery_test_plot.png" if hasattr(self, 'file_label'): base = os.path.splitext(self.file_label.cget("text"))[0] if base: default_filename = f"{base}_plot.png" filepath = filedialog.asksaveasfilename( title="Grafik speichern", initialfile=default_filename, filetypes=filetypes, defaultextension=".png" ) if filepath: try: self.fig.savefig(filepath, dpi=300, bbox_inches='tight') self.status_var.set(f"Grafik gespeichert als: {os.path.basename(filepath)}") messagebox.showinfo("Erfolg", "Grafik wurde erfolgreich gespeichert") except Exception as e: messagebox.showerror("Fehler", f"Konnte Grafik nicht speichern:\n{str(e)}") self.status_var.set("Fehler beim Speichern") def cleanup(self): """Perform cleanup before closing""" if hasattr(self, 'fig'): plt.close(self.fig) self.root.destroy() if __name__ == "__main__": root = Tk() app = CSVVisualizer(root) root.mainloop()