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Practice

Plot Customization and Themes in Seaborn

Seaborn includes built-in themes and context settings that make your visualizations look polished without extensive manual styling.


Why Customize Plots?​

  • Improves readability
  • Matches branding or presentation styles
  • Highlights specific data points or trends
  • Creates visual consistency across multiple charts

Built-in Themes​

Seaborn offers themes like:

  • "darkgrid" (default)
  • "whitegrid"
  • "dark"
  • "white"
  • "ticks"

Themes control the background, gridlines, and overall look of the plot.


Context Settings​

The set_context() function adjusts plot scaling for:

  • "paper" — small-scale visuals for reports
  • "notebook" — default for interactive work
  • "talk" — larger text and elements for presentations
  • "poster" — maximum size for conference posters

Example Workflow for Styling​

  1. Choose a theme that matches your needs
  2. Adjust the context for your audience
  3. Apply custom colors or palettes if required

In the next step, explore how these themes and contexts look in practice using the Jupyter notebook on the right side of the screen.

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