Seaborn vs Matplotlib

Seaborn is built on top of Matplotlib, providing a high-level interface for statistical graphics. Let's understand when to use each and how they work together.

The Same Plot, Different Approaches

Key Differences

Seaborn Default Styles

Color Palettes

Working with DataFrames

When to Use Which

Combining Seaborn and Matplotlib

Practice: Compare Approaches

Key Takeaways

• Seaborn is built on Matplotlib, providing statistical visualization
• Seaborn offers better defaults and simpler syntax for statistical plots
• Use sns.set_style() for quick aesthetic improvements
• Use sns.color_palette() for harmonious color schemes
• Seaborn excels with Pandas DataFrames (x, y, hue parameters)
• Combine both: Seaborn for statistical plots, Matplotlib for customization
• Matplotlib when you need complete control or non-statistical charts

In the next lesson, we'll explore Seaborn's themes and styling options in more depth.