Welcome to ggpubpy’s documentation!

ggpubpy is a Python library for creating publication-ready plots with built-in statistical tests and automatic p-value annotations.

Plot Types:

• Boxplot with Statistical Annotations
  • Features
  • Basic Usage
  • Function Parameters
  • Examples
  • Statistical Tests
  • Tips
  • Integration
• Violin Plot with Statistical Annotations
  • Features
  • Basic Usage
  • Function Parameters
  • Examples
  • When to Use Violin Plots
  • Statistical Tests
  • Violin vs Box Plot
  • Tips
  • Integration
• Shift Plot
  • Features
  • Basic Usage
  • Function Parameters
  • Examples
  • When to Use Shift Plots
  • Interpretation
  • Tips
  • Integration
  • Advanced Usage
• Correlation Matrix Plot
  • Features
  • Basic Usage
  • Function Parameters
  • Examples
  • Correlation Methods
  • Significance Levels
  • Interpretation Guide
  • When to Use Correlation Matrices
  • Tips
  • Integration
  • Advanced Usage
• Alluvial Plots in ggpubpy
  • Features
  • Basic Usage
  • Functions
  • Examples
  • Complete Examples
  • Data Requirements
  • Tips
  • Integration
• Plots Manipulation Guide (Labels, Titles, Colors)
  • Boxplot
  • Violin Plot
  • Shift Plot (two-panel control)
  • Correlation Matrix
  • Alluvial Plot
• QQ Plot
  • Features
  • Basic Usage (Iris)
  • Second Example (Iris)
  • Function Parameters
  • Tips
  • Integration
• Bland–Altman Plot
  • Features
  • Basic Usage (Iris)
  • Second Example (Iris)
  • Function Parameters
  • Tips

API Reference:

• API Reference
  • Plotting Functions

Indices and tables

• Index

• Module Index

• Search Page