Talks - Michael Chow, Richard Iannone: Making Beautiful, Publication Quality Tables in Python...

GreatTables is a Python library focused on creating publication-quality tables with comprehensive formatting and styling options

Three key ingredients for effective table design:

• Structure (titles, headers, column spanners)
• Formatting (numbers, percentages, currencies)
• Styling (colors, backgrounds, text formatting)

Advanced visualization features include:

• Heat maps for numerical comparisons
• Nano plots/sparklines for compact data visualization
• Interactive elements on hover
• Custom formatting for currencies, percentages, and large numbers (K/M notation)

Output formats supported:

• HTML
• PDF
• PNG
• TIFF
• Email-safe formats

Benefits compared to manual formatting:

• Reproducible workflow
• Code-based approach maintains data pipeline
• Consistent styling across reports
• No need to export to Excel

Key formatting capabilities:

• Currency formatting with proper symbols
• Percentage formatting with decimal control
• Number grouping and scientific notation
• Custom column selection using Polars or Pandas

Works with both Polars and Pandas dataframes as input sources

Features for improved readability:

• Row grouping
• Column spanners for hierarchical organization
• Footnotes support
• Custom background colors for data grouping

Focus on meeting business requirements while maintaining professional presentation

• Configurable to match specific industry standards
• Flexible formatting options for different use cases

Accessibility considerations built into HTML output