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.