yt_experiments
The yt_experiments package is a home for rapid prototyping of ideas that don't quite fit into the existing yt-Project ecosystem or would benefit from some community testing before being merged to yt.
Current experimental features:
OctTree conversion tools
OctTree, imported with
from yt_experiments.octree.converter import OctTree
can be used to create an Octree of cells then convert it into a format yt can ingest.
Tiled Arbitrary Grids and Image Pyramids
The YTTiledArbitraryGrid, YTArbitraryGridOctPyramid and YTArbitraryGridPyramid data objects allow creation of larger-than-memory fixed resolution arrays for fields from yt datasets by tiling together YTArbitraryGrid objects.
Import with
from yt_experiments.tiled_grid import (
YTArbitraryGridOctPyramid,
YTArbitraryGridPyramid,
YTTiledArbitraryGrid,
)
and see the example notebook here for usage demonstrating how to convert yt field data to on-disk zarr arrays, including generation of a zarr image pyramid.
Contributing
Contributions are welcome and generally follow the same principles as main yt, including the Community Code of Conduct.
We'll try to review contributions quickly and cut new releases as new features are merged to make them accesible to the community as soon as possible.
Not sure your idea fits here or in one of the other yt Project packages? Reach out on slack (instructions for joining are here) or open an issue.
1 maintainer
Metadata
1 maintainer
Release files for yt-experiments 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| yt_experiments-0.4.0.tar.gz | 13.5 kB | Details |
Built distributions (wheels)
Total release size: 10.6 MB
Release files / yt_experiments-0.4.0.tar.gz
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Transparency logRelease files / yt_experiments-0.4.0-cp310-cp310-macosx_10_9_x86_64.whl
| Download URL | yt_experiments-0.4.0-cp310-cp310-macosx_10_9_x86_64.whl |
|---|---|
| Size | 112.0 kB |
| Tags | CPython 3.10 macOS 10.9+ x86-64 |
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twine/6.1.0 CPython/3.13.7
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