yt Overview

yt is a community-developed analysis and visualization toolkit for volumetric data. yt has been applied mostly to astrophysical simulation data, but it can be applied to many different types of data including seismology, radio telescope data, weather simulations, and nuclear engineering simulations. yt is developed in Python under the open-source model.

yt supports many different code formats, and we provide sample data for each format with instructions on how to load and examine each data type.

Table of Contents

Introduction to yt

What does yt offer? How can I use it? How to think in yt?

yt 3.0

How yt-3.0 differs from past versions


Getting, installing, and updating yt

yt Quickstart

Demonstrations of what yt can do

Loading and Examining Data

How to load all dataset types in yt and examine raw data

The Cookbook

Example recipes for how to accomplish a variety of tasks

Visualizing Data

Make plots, projections, volume renderings, movies, and more

General Data Analysis

The nuts and bolts of manipulating yt datasets

Topic-Specific Analysis Modules

Track halos, make synthetic observations, find clumps, and more

Developer Guide

Catering yt to work for your exact use case

Reference Materials

Lists of fields, quantities, classes, functions, and more

Frequently Asked Questions

Solutions for common questions and problems

Getting help

What to do if you run into problems

About yt

What is yt?