patsy - Describing statistical models in Python

Contents:

• Overview
  • Download
  • Requirements
  • Installation
  • Contact
  • License
  • Users
• Quickstart
• How formulas work
  • The formula language
  • From terms to matrices
  • Technical details
  • Footnotes
• Coding categorical data
• Stateful transforms
  • Builtin stateful transforms
  • Defining a stateful transform
• Spline regression
  • General B-splines
  • Natural and cyclic cubic regression splines
  • Tensor product smooths
• Model specification for experts and computers
  • The factor protocol
  • Alternative formula implementations
• Using Patsy in your library
  • Using the high-level interface
  • Extending the formula syntax
• Differences between R and Patsy formulas
• patsy API reference
  • Basic API
  • Convenience utilities
  • Design metadata
  • Stateful transforms
  • Handling categorical data
  • Spline regression
  • Working with formulas programmatically
  • Working with the Python execution environment
  • Building design matrices
  • Missing values
  • Linear constraints
  • Origin tracking
• patsy.builtins API reference
  • C()
  • ContrastMatrix
  • Diff
  • Helmert
  • I()
  • Poly
  • Q()
  • Sum
  • Treatment
  • bs()
  • cc()
  • center()
  • cr()
  • scale()
  • standardize()
  • te()
• Changes
  • v1.0.1
  • v1.0.0
  • v0.5.6
  • v0.5.5
  • v0.5.4
  • v0.5.3
  • v0.5.2
  • v0.5.1
  • v0.5.0
  • v0.4.1
  • v0.4.0
  • v0.3.0
  • v0.2.1
  • v0.2.0
  • v0.1.0

Indices and tables

• Index

• Search Page