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Overview
Quickstart
How formulas work
Coding categorical data
Stateful transforms
Spline regression
Model specification for experts and computers
Using Patsy in your library
Differences between R and Patsy formulas
Python 2 versus Python 3
patsy
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patsy.builtins
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patsy - Describing statistical models in Python
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patsy - Describing statistical models in Python
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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
Python 2 versus Python 3
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
Changes
v0.5.1
v0.5.0
v0.4.1
v0.4.0
v0.3.0
v0.2.1
v0.2.0
v0.1.0
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Index
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