def __init__(self, root): # Initialize the main application window

self.root = root

self.root.title("CSV Plotter GUI")

self.filename = None # Variable to store the selected CSV file name

self.data = None # Variable to store the loaded data

self.create_widgets() # Call the method to create widgets

def create_widgets(self):

# Create a frame for buttons and file name display

self.control_frame = tk.Frame(self.root, padx=10, pady=10)

self.control_frame.pack(pady=10)

# Button to load CSV file

self.load_button = tk.Button(self.control_frame, text="Load CSV", command=self.load_csv, bg='#4CAF50', fg='white', font=('Arial', 12))

self.load_button.pack(side=tk.LEFT, padx=5)

# Label to display the name of the selected CSV file

self.file_label = tk.Label(self.control_frame, text="No file selected", font=('Arial', 12))

self.file_label.pack(side=tk.LEFT, padx=5)

# Frame for dropdown menu

self.dropdown_frame = tk.Frame(self.root, padx=10, pady=10)

self.dropdown_frame.pack(pady=10)

self.dropdown_label = tk.Label(self.dropdown_frame, text="Select Channel to Plot:", font=('Arial', 12))

self.dropdown_label.pack(side=tk.LEFT)

# Dropdown menu for channel selection

self.channel_selection = tk.StringVar()

self.dropdown_menu = ttk.Combobox(self.dropdown_frame, textvariable=self.channel_selection, state="normal", font=('Arial', 12))

self.dropdown_menu.pack(side=tk.LEFT, padx=5, fill=tk.X, expand=True)

# Button to plot data

self.plot_button = tk.Button(self.root, text="Plot Data", command=self.plot_data, bg='#2196F3', fg='white', font=('Arial', 12))

self.plot_button.pack(pady=10)

def load_csv(self):

self.filename = filedialog.askopenfilename(filetypes=[("CSV files", "*.csv")]) # Open file dialog to select CSV file

if self.filename:

try:

with open(self.filename, "r", encoding="utf-8") as f: # Open the selected CSV file

lines = f.readlines() # Read all lines into a list for header detection

header_index = None # Initialize the variable to track where (Header)'Counter' appears

for i, line in enumerate(lines): # Iterate through lines to find the header line

if "Counter" in line:

header_index = i # Store the index of the line containing 'Counter'

break # If found, break the loop

if header_index is None: # If no header row with 'Counter' was found, show error and exit

messagebox.showerror("Error", "CSV file must contain a 'Counter' column.")

return

# Now read CSV again, skipping metadata lines before the header

self.data = pd.read_csv(self.filename, skiprows=header_index, header=0)

# Ensure 'Counter' column is present

if 'Counter' not in self.data.columns:

messagebox.showerror("Error", "CSV file must contain a 'Counter' column.")

return

# Setup dropdown based on available channels

self.setup_dropdown_menu()

self.file_label.config(text=f"File: {self.filename.split('/')[-1]}")

except Exception as e:

messagebox.showerror("Error", f"Could not load CSV file: {e}")

def setup_dropdown_menu(self):

# Get available channel columns

channel_columns = [col for col in self.data.columns if 'Channel' in col]

# Populate dropdown menu with available channels

self.dropdown_menu['values'] = channel_columns

if channel_columns:

self.channel_selection.set(channel_columns[0]) # Default selection to the first channel

def plot_data(self):

"""Creates an interactive plot of the selected data channel using Plotly."""

selected_channel = self.channel_selection.get() # Get the selected channel

if not selected_channel:

messagebox.showerror("Error", "No channel selected for plotting")

return

fig = go.Figure() # Plot the selected channel using Plotly

fig.add_trace(go.Scatter(x=self.data.index, y=self.data[selected_channel], mode='lines', name=selected_channel))

fig.update_layout(

title=f"Channel: {selected_channel}",

xaxis_title="Index",

yaxis_title="Value",

template="plotly_white"

)