Bar Plot for Multiple Variables in Python | Python B10 | Grouped & Stacked Bars
Welcome to Python Batch 10 of our data visualization series!
In this tutorial, you'll learn how to create bar plots for multiple variables in Python, using Matplotlib and Seaborn. Bar plots are essential for comparing categories across different groups or conditions.
📊 What You’ll Learn:
How to reshape data for grouped bar plots
Creating side-by-side bar plots for comparison
Creating stacked bar plots using Pandas or Matplotlib
Customizing colors, labels, and legends
Annotating bars and saving high-resolution images
🧰 Python Libraries Used:
pandas
matplotlib.pyplot
seaborn
🎓 Ideal for:
Data analysts, researchers, and students working on business analytics, biological data, survey analysis, or any categorical comparison
💡 Tip: Use melt() or pivot() to reshape your DataFrame for plotting multiple variables easily!
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