N-D labeled arrays and datasets in Python
http://github.com/pydata/xarray
xarray (formerly xray) is a python-pandas-like and pandas-compatible
toolkit for analytics on multi-dimensional arrays. It provides
N-dimensional variants of the python-pandas labeled data structures,
rather than the tabular data that pandas uses.
The Common Data Model for self-describing scientific data is used.
The dataset is an in-memory representation of a netCDF file.
- Developed at devel:languages:python:numeric
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2
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osc -A https://api.opensuse.org checkout openSUSE:Factory/python-xarray && cd $_
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Source Files
Filename | Size | Changed |
---|---|---|
_multibuild | 0000000053 53 Bytes | |
local_dataset.patch | 0000000665 665 Bytes | |
python-xarray.changes | 0000236168 231 KB | |
python-xarray.spec | 0000007225 7.06 KB | |
xarray-2024.11.0-gh.tar.gz | 0003236300 3.09 MB |
Comments 8
This comment has been deleted
The cause is: https://build.opensuse.org/package/show/openSUSE:Factory/python-numcodecs fails to build because of a failing test case.
I am on it, but simply updateing numcodecs to 0.14 will break zarr: https://github.com/zarr-developers/numcodecs/issues/653
Thank you for investigating this!
This comment has been deleted
a result of https://build.opensuse.org/request/show/1225144
upstream issue report at numba: https://github.com/numba/numba/issues/9760
You could try re-enabling it, as we ship a python313 patch for numba now: sr#1225801