Ch 03 | Bar Chart in Matplotlib | plt.bar() Complete Explanation | CBSE 2026-27 | Class 12 IP

Class 12 Informatics Practices (IP) – Chapter 03: Data Visualization In this video, we will learn how to create and customize a Bar Chart using Matplotlib in Python. This video is specially designed for Class 12 IP (065) CBSE 2026-27 students. In this practical session, we will understand: ✅ Importing Matplotlib ✅ import matplotlib.pyplot as plt ✅ Creating a Bar Chart using plt.bar() ✅ Creating X-axis values using Months ✅ Creating Y-axis values using Sales ✅ color parameter ✅ width parameter ✅ edgecolor parameter ✅ linewidth parameter ✅ Adding label to the chart ✅ plt.title() – Adding Chart Title ✅ plt.xlabel() – X-axis Label ✅ plt.ylabel() – Y-axis Label ✅ plt.grid() – Adding Grid Lines ✅ plt.ylim() – Setting Y-axis Limits ✅ plt.yticks() – Customizing Y-axis Values ✅ plt.legend() – Adding Legend ✅ plt.savefig() – Saving Chart as Image ✅ plt.show() – Displaying the Chart 📌 Chapter 03 – Data Visualization Python Matplotlib | Bar Chart This video will help you understand the concepts required for CBSE Class 12 Informatics Practices (065) and practical examination preparation. 📚 Course: Class 12 Informatics Practices 📖 Chapter: 03 – Data Visualization 🐍 Library: Matplotlib 📊 Topic: Bar Chart If you find this video useful, LIKE 👍, SHARE 📤 and SUBSCRIBE 🔔 to the channel. #Class12IP #Matplotlib #DataVisualization #Python #CBSE2026 #InformaticsPractices #s4suren #surensir