[Python] I am struggling splitting the classifiers category and displaying in 2 rows. I am...

This my code:

import tkinter as tk
from tkinter import ttk, filedialog

class ClassifierSelectionApp:
def __init__(self, root):
self.root = root
style = ttk.Style()
style.configure("TButton", font=("Arial", 11), padding=5)
style.configure("TLabel", font=("Arial", 11))

# Main frame
main_frame = ttk.Frame(root, padding="10 10 10 10")
main_frame.grid(row=0, column=0, sticky=(tk.W, tk.E, tk.N, tk.S))

# Configure grid
for i in range(8): # Number of columns
main_frame.columnconfigure(i, weight=1)
for i in range(8): # Increased number of rows
main_frame.rowconfigure(i, weight=1)

# Training Data
self.label_train = ttk.Label(main_frame, text="Select Training Data:", style="TLabel")
self.label_train.grid(row=0, column=0, sticky='w', padx=5, pady=5)
self.button_train = ttk.Button(main_frame, text="Browse", command=self.browse_train, style="TButton")
self.button_train.grid(row=1, column=0, padx=5, pady=5)

# Testing Data
self.label_test = ttk.Label(main_frame, text="Select Testing Data:", style="TLabel")
self.label_test.grid(row=0, column=1, sticky='w', padx=5, pady=5)
self.button_test = ttk.Button(main_frame, text="Browse", command=self.browse_test, style="TButton")
self.button_test.grid(row=1, column=1, padx=5, pady=5)

# Category Labels
categories = ["Convolution based", "Deep learning", "Dictionary based",
"Distance based", "Feature based", "Interval based",
"Shapelet based", "Hybrid"]
for i, category in enumerate(categories):
label = ttk.Label(main_frame, text=category, font=("Arial", 11, "bold"))
label.grid(row=2, column=i, padx=5, pady=5, sticky='w') # Align to the left

# Row Labels and Checkbuttons
self.check_vars = []
rows_top = [
["Rocket Classifier", "CNN ", "MUSE", "K-NN", "Catch22", "Canonical Interval Forest", "Random Forest", "HIVECOTEV2"],
["Arsenal", "", "WEASEL", "Elastic Ensemble", "Fresh PRINCE", "DrCIF", "", ""],
["", "", "BOSS Ensemble", "", "", "RandomIntervalSpectralEnsemble", "", ""]
]
rows_bottom = [
["", "", "Contractable BOSS", "", "", "SupervisedTimeSeriesForest", "", ""],
["", "", "Individual BOSS", "", "", "TimeSeriesForestClassifier", "", ""],
["", "", "Temporal Dictionary Ensemble", "", "", "", "", ""]
]

# Determine the maximum width for each column
max_widths = [max(len(row) for row in rows_top + rows_bottom if i < len(row) and row) for i in range(len(categories))]

# Place the top half of the rows in the grid
for r, row in enumerate(rows_top):
row_vars = []
for c, item in enumerate(row):
if item:
var = tk.BooleanVar()
checkbutton = ttk.Checkbutton(main_frame, text=item, variable=var, width=max_widths[c])
checkbutton.grid(row=r+3, column=c, padx=5, pady=5, sticky='w') # Align to the left
row_vars.append(var)
else:
row_vars.append(None)
self.check_vars.append(row_vars)

# Place the bottom half of the rows in the grid, offset by the number of rows in rows_top
for r, row in enumerate(rows_bottom):
row_vars = []
for c, item in enumerate(row):
if item:
var = tk.BooleanVar()
checkbutton = ttk.Checkbutton(main_frame, text=item, variable=var, width=max_widths[c])
checkbutton.grid(row=r+3+len(rows_top), column=c, padx=5, pady=5, sticky='w') # Align to the left
row_vars.append(var)
else:
row_vars.append(None)
self.check_vars.append(row_vars)

def browse_train(self):
file_path = filedialog.askopenfilename()
print(f"Training data selected: {file_path}")

def browse_test(self):
file_path = filedialog.askopenfilename()
print(f"Testing data selected: {file_path}")

if __name__ == "__main__":
root = tk.Tk()
app = ClassifierSelectionApp(root)
root.mainloop()


Here is an image of what my GUI look like right now, I want to make it look more presentable. I don't want it to be so wide but I want also keep all of the option. Tried using chatgpt but it was useless.

Image of my GUI

I want to build an application that can classify time sereis data. To do this I have a libary called AEON toolkit and I have important all of the classifers I wanted.

All the classifiers I am going to be using are neatly categorized in their categories, but the application looks too wide. And I don't want that.

Instead I want 4 classifiers category displayed in one row and the other 4 displayed in the row right after. I tried multiple thing but could not find a way to do this.

Any help would be greatly appreciated.

Please note, if there is a better way of displaying this in tkinter I am open to suggestions.

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