Embed Dynamic Matplotlib Charts in Tkinter – Python GUI Visualization

 

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📊 Bonus Part 8: Embedding Charts and Visual Feedback in Tkinter – Use Matplotlib

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📘 Overview

Graphs and charts help users understand data visually. In this part, you’ll learn how to:

• Embed Matplotlib charts inside Tkinter windows

• Update charts dynamically

• Use pie, bar, and line charts for rich visual feedback

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🔧 What You’ll Need

pip install matplotlib

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✅ Example: Embedding a Simple Line Chart

import tkinter as tk
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure

root = tk.Tk()
root.title("Tkinter with Matplotlib")

fig = Figure(figsize=(5,4), dpi=100)
plot = fig.add_subplot(111)
plot.plot([1, 2, 3, 4, 5], [2, 3, 5, 7, 11])

canvas = FigureCanvasTkAgg(fig, master=root)
canvas.draw()
canvas.get_tk_widget().pack()

root.mainloop()

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✅ Example: Dynamic Chart Update

import random

def update_chart():
    y_data = [random.randint(0, 10) for _ in range(5)]
    plot.clear()
    plot.plot([1, 2, 3, 4, 5], y_data)
    canvas.draw()

btn = tk.Button(root, text="Update Chart", command=update_chart)
btn.pack()

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✅ Example: Pie Chart for Categorical Data

fig2 = Figure(figsize=(4,4))
ax2 = fig2.add_subplot(111)
ax2.pie([30, 50, 20], labels=["Apples", "Bananas", "Cherries"], autopct='%1.1f%%')

canvas2 = FigureCanvasTkAgg(fig2, master=root)
canvas2.draw()
canvas2.get_tk_widget().pack()

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💡 Recap

• You can integrate Matplotlib seamlessly in Tkinter

• Dynamically update charts for real-time data

• Use different chart types for engaging UX

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