An analysis and visualization toolkit for Astrophysical simulations, focusing on Adaptive Mesh Refinement data from Enzo, Orion, FLASH, and others.
Project description
Hi there! You’ve just downloaded yt, an analysis tool for astrophysical simulation datasets, generated by simulation platforms like Enzo, Orion, FLASH, Nyx, MAESTRO, ART and Ramses. It’s written in python and heavily leverages both NumPy and Matplotlib for fast arrays and visualization, respectively.
Full documentation and a user community can be found at:
http://yt-project.org/ http://yt-project.org/doc/
If you have used Python before, and are comfortable with installing packages, you should find the setup.py script fairly straightforward: simply execute “python setup.py install”.
If you would rather a more automated installation, you can use the script doc/install_script.sh . You will have to set the destination directory, and there are options available, but it should be straightforward.
In case of any problems, please email the yt-users mailing list, and if you’re interested in helping out, see the developer documentation:
http://yt-project.org/doc/advanced/developing.html
Enjoy!
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file yt-2.5.3.tar.gz.
File metadata
- Download URL: yt-2.5.3.tar.gz
- Upload date:
- Size: 2.6 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | aa64815bbfa40b06f026d5597b0383ea582fed73f2fbff9011e050132002543a |
|
| MD5 | 21f5ba35f4aee659c5be901a16b916bd |
|
| BLAKE2b-256 | 6151d7812d63acfdad3cbb671ebde9a61816fe49c84952b7b47e559afd02d774 |
