We're proud to announce the release of yt version 1.7, an analysis and visualization toolkit for Adaptive Mesh Refinement data. (Just in time for the Enzo Workshop!) This release fixes a number of bugs, as well as numerous improvements to the code base and the documentation.
Most prominently, it features "two-point functions" such as structure and correlation functions, a re-engineered volume rendering interface, multivariate volume rendering, off-axis projections, and a mechanism for complex postscript plot layout. Additionally, a major aspect of the drive to 1.7 has been re-engineering the API documentation to be better suited to interactive help (the "help(...)" call in python) as well as the documentation website ( http://yt.enzotools.org/doc/ ).
Some of the changes since yt-1.6 (Released on January 22, 2010) include:
(The full changelog: http://yt.enzotools.org/doc/changelog.html )
yt features native support for Enzo (http://lca.ucsd.edu/projects/enzo) data, providing a natural and intuitive way to address physical regions in space as well as processed data.
Installation instructions can be found here: http://yt.enzotools.org/doc/installation.html . If you are running an older version of yt, re-obtaining and re-running the installation script should happily upgrade your installation. yt is a Free and Open Source project, and we invite you to get involved. For more information, join the yt-dev mailing list, or see the hacking guidelines on the Wiki: http://yt.enzotools.org/wiki/HackingGuidelines . We anticipate a few more releases in the 1.7 series as documentation and docstring coverage progress.
The yt development team:
Matthew Turk Stephen Skory Britton Smith John Wise Jeff Oishi Sam Skillman Devin Silvia David Collins
As an addendum to the yt-1.7 release announcement, if you plan on using any of the functions that use the Fortran kD-tree:
you will need to manually rebuild the fKDpy.so object after upgrading. The instructions are the same as before:
If you don't wish to use the tools above, you need not worry about the kD-tree - yt will function just fine without it for you!
We hope to someday make the Fortran kD-tree build automatically with the rest of yt, but for now this is what has to be done.
Let me know if you run into problems.
firstname.lastname@example.org o__ Stephen Skory http://physics.ucsd.edu/~sskory/ _.>/ _Graduate Student ________________________________(_)_\(_)_______________