User Guide

Some tips about dtoolkit.

• Installation
  • Dependencies
  • Install with Mamba
  • Install from PyPI
  • Install from Source
• Transformer and Pipeline Quickstart
  • Applicable Scene
  • Sample Data
  • Feature Types and Dealing Steps
  • The Pandas Way
  • The Pipeline Way
  • The dtoolkit.transformer Way
  • Other Ways to Handle This
  • What’s Next - Learn or Build Transformers
• How to Build Transformer
  • Generate Transformer from Method
  • Build DataFrame Transformer
• Transformer and Pipeline Brief Description
  • What is Transformer?
  • What is Pipeline?
  • What transformer does?
  • What’s Next - Future Features
• Tips About Accessing Element Attributes of Series
  • Use apply Method
  • Use Pandas Object Accessor
  • Use getattr
  • Summary
• Register a Method as the Original Attribute of Pandas Object
  • Pandas Accessor Register
  • DToolKit Method Register
  • Extend to Pandas-like Object
• Automated Pipeline: AutoML
  • What Could AutoML Do Now?
  • What Would AutoML Do via Pipeline?
• Data Visual Modeling: Workflow
  • What is the Workflow?
  • Question & Answer
  • A Example of Workflow
• What is the Geographic Buffer?
  • What is the Buffer?
  • Latitude, Longitude and Earth
  • Non Geographic Buffer
  • Geographic Buffer