Build a Data Analyzer App with Tkinter, Pandas & NumPy (Python GUI Project)

Introduction

Want to mix GUI and data power? Here's how to create a desktop app in Python that loads CSV files, analyzes them with NumPy & Pandas, and shows results in a Tkinter window — no terminal needed!

What You’ll Learn:

• Build GUI with Tkinter
• Use Pandas to load and preview data
• Use NumPy to analyze it
• Combine all into a single app

Install Requirements:

pip install pandas numpy 

GUI Code (short version)

import tkinter as tk from tkinter import filedialog import pandas as pd import numpy as np def load_file(): path = filedialog.askopenfilename() df = pd.read_csv(path) stats = df.describe() output.delete("1.0", tk.END) output.insert(tk.END, f"Stats:\n{stats}") root = tk.Tk() root.title("Data Analyzer") btn = tk.Button(root, text="Load CSV", command=load_file) btn.pack() output = tk.Text(root, height=20, width=80) output.pack() root.mainloop() 

Add More Power:

• Add head(), tail()
• Add filtering by column
• Add Matplotlib charts
• Add export as report (.txt or .csv)

End Note:

Want me to expand this post with graphs, filters, or export buttons? Drop a comment and let me know.