yt Overview

yt is a toolkit designed to analyze, manage and plot adaptive mesh refinement data from the Enzo code.

If you use yt in a paper, I highly encourage you to read about our policy on free repository space for analysis code!

Below you’ll find the table of contents. There’s a super-quick-start guide to interactive data analysis, a tour of the objects and methodology of yt, a short cookbook, a guide extending, and – perhaps most important of all – a guide to the classes and functions available!

Contents:

• Introduction
  • History
  • What yt is and is not
  • What functionality does yt offer?
  • How do I cite yt?

• Getting the Code
  • Maintained Installations
  • Binary Packages
  • Installing From Source

• The Quick Guide to yt
  • Starting IPython
  • Opening Your Data File
  • Making Plots
  • Saving Plots
  • A Few More Plots

• A Tour of yt
  • Code Objects
  • Physical Objects
  • Reduced Objects
  • Plots

• Cookbook
  • Making Simple Plots
  • Basic Analysis Tasks
  • Making Profiles
  • Plotting Profiles
  • Making Movies
  • Making Timeseries Plots
  • Extracting Data

• Extending yt
  • Writing Scripts
  • Using the Interpreter
  • The Plugin File
  • Creating 3D Datatypes
  • Creating Derived Quantities
  • Creating Derived Fields

• Contributing Code
  • Bug Fixes
  • Licensing
  • Fields and Extensions
  • Analysis Code and Examples

• FAQ
  • Why Python?
  • Where can I learn more about Python?
  • Who works on yt?
  • What’s up with the names?
  • Are there any restrictions on my use of yt?
  • How do I know what the units returned are?
  • What are all these .yt files?
  • How can I help?
  • Something has gone wrong. What do I do?
  • How do I specify an axis?
  • Where can I go for support?

• API Documentation
  • yt.lagos - Data Handling and Analysis
  • yt.raven - Data Plotting and Display
  • yt.reason - wxPython GUI

Indices and tables

• Index
• Module Index
• Search Page