User Guide

This guide covers all features of Pavise in detail.

• Basic Usage
  • Design Philosophy
  • Type Checking vs Runtime Validation
  • Covariance and Structural Subtyping
  • Backend Selection
  • Handling Optional Columns
  • Supported Types
  • Creating Empty DataFrames
• pandas Backend
  • Installation
  • Basic Usage
  • Type Mapping
  • pandas ExtensionDtype
  • Index Validation
  • Nullable Types
  • Method Chaining
  • Performance Considerations
• polars Backend
  • Installation
  • Basic Usage
  • Type Mapping
  • polars DataType
  • Nullable Types
  • Performance Considerations
  • LazyFrame Support
  • Differences from pandas Backend
  • Method Chaining
• Validators
  • Available Validators
  • Combining Multiple Validators
  • Performance Considerations
• Strict Mode
  • Enabling Strict Mode
  • Error Message
  • Use Cases
  • When Not to Use Strict Mode
  • Combining with Validators
• Error Messages
  • Type Errors
  • Missing Columns
  • Validator Errors
  • Strict Mode Errors
  • Performance Notes