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
- Sources inherited from project openSUSE:Factory
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Source Files
| Filename | Size | Changed |
|---|---|---|
| _multibuild | 0000000053 53 Bytes | |
| local_dataset.patch | 0000000767 767 Bytes | |
| python-xarray.changes | 0000221463 216 KB | |
| python-xarray.spec | 0000007236 7.07 KB | |
| xarray-2024.07.0-gh.tar.gz | 0003756547 3.58 MB | |
| xarray-pr9321-dasktests.patch | 0000004689 4.58 KB | |
| xarray-pr9356-dasktests.patch | 0000003702 3.62 KB | |
| xarray-pr9403-np2.1-scalar.patch | 0000001812 1.77 KB |
Latest Revision
Ana Guerrero (anag+factory)
accepted
request 1199626
from
Dirk Mueller (dirkmueller)
(revision 50)
- Update to 2024.7.0
* Add test for rechunking to a size string by @dcherian in #9117
* Update docstring in api.py for open_mfdataset(), clarifying
"chunks" argument by @arthur-e in #9121
* Grouper refactor by @dcherian in #9122
* adjust repr tests to account for different platforms (#9127) by
@mgorny in #9128
* Support duplicate dimensions in .chunk by @mraspaud in #9099
* Update zendoo badge link by @max-sixty in #9133
* Split out distributed writes in zarr docs by @max-sixty in
#9132
* Improve to_zarr docs by @max-sixty in #9139
* groupby: remove some internal use of IndexVariable by @dcherian
in #9123
* Improve zarr chunks docs by @max-sixty in #9140
* Include numbagg in type checks by @max-sixty in #9159
* Remove mypy exclusions for a couple more libraries by
@max-sixty in #9160
* Add test for #9155 by @max-sixty in #9161
* switch to datetime unit "D" by @keewis in #9170
* Slightly improve DataTree repr by @shoyer in #9064
* Fix example code formatting for CachingFileManager by @djhoese
in #9178
* Change np.core.defchararray to np.char (#9165) by @pont-us in
#9166
* temporarily remove pydap from CI by @keewis in #9183
* also pin numpy in the all-but-dask CI by @keewis in #9184
* promote floating-point numeric datetimes to 64-bit before
decoding by @keewis in #9182
* "source" encoding for datasets opened from fsspec objects by
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