Self-directed Tutorial

Self-directed Tutorial provides an introduction to the ParaView software and its history, and exercises on how to use ParaView that cover basic usage, batch python scripting and visualizing large models. This tutorial was created by Kenneth Moreland at Sandia National Laboratories, has written guidance and background and can be followed independently.

Thanks to Amy Squillacote, David DeMarle, and W. Alan Scott for contributing material to this tutorial. And, of course, thanks to everyone at Kitware, Sandia National Laboratories, Los Alamos National Laboratory, and all other contributing organizations for their hard work in making ParaView what it is today.

This work was supported by the Director, Office of Advanced Scientific Computing Research, Office of Science, of the U.S. Department of Energy under Contract No. 12-015215, through the Scientific Discovery through Advanced Computing (SciDAC) Institute of Scalable Data Management, Analysis and Visualization.

This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.

Sandia National Laboratories is a multi-mission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA-0003525.

• 1. Introduction
  • 1.1. Development and Funding
  • 1.2. Basics of Visualization
  • 1.3. More Information
• 2. Basic Usage
  • 2.1. User Interface
  • 2.2. Sources
  • 2.3. Basic 3D Interaction
  • 2.4. Modifying Visualization Parameters
  • 2.5. Loading Data
  • 2.6. Filters
  • 2.7. Multiview
  • 2.8. Vector Visualization
  • 2.9. Plotting
  • 2.10. Volume Rendering
  • 2.11. Time
  • 2.12. Text Annotation
  • 2.13. Save Screenshot and Save Animation
  • 2.14. Selection
  • 2.15. Animations
• 3. Batch Python Scripting
  • 3.1. Starting the Python Interpreter
  • 3.2. Tracing ParaView State
  • 3.3. Macros
  • 3.4. Creating a Pipeline
  • 3.5. Active Objects
  • 3.6. Online Help
  • 3.7. Reading from Files
  • 3.8. Querying Field Attributes
  • 3.9. Representations
  • 3.10. Views
  • 3.11. Saving Results
• 4. Visualizing Large Models
  • 4.1. Parallel Visualization Algorithms
  • 4.2. Basic Parallel Rendering
  • 4.3. ParaView Architecture
  • 4.4. Accessing a Parallel ParaView Server
  • 4.5. Batch Processing
  • 4.6. Interactive Parallel Processing
  • 4.7. Parallel Data Processing Practicalities
  • 4.8. Advice
  • 4.9. Parallel Rendering Details
  • 4.10. Catalyst
• 5. Further Reading