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
-
2
derived packages
- Download package
-
Checkout Package
osc -A https://api.opensuse.org checkout openSUSE:Factory:zSystems/python-xarray && cd $_ - Create Badge
Refresh
Refresh
Source Files
| Filename | Size | Changed |
|---|---|---|
| local_dataset.patch | 0000000621 621 Bytes | |
| python-xarray.changes | 0000173810 170 KB | |
| python-xarray.spec | 0000004321 4.22 KB | |
| xarray-2023.5.0.tar.gz | 0003707468 3.54 MB |
Revision 42 (latest revision is 48)
Dominique Leuenberger (dimstar_suse)
accepted
request 1089954
from
Dirk Mueller (dirkmueller)
(revision 42)
- update to 2023.05.0:
* This release adds some new methods and operators, updates our
deprecation policy for python versions, fixes some bugs with
groupby, and introduces experimental support for alternative
chunked parallel array computation backends via a new plugin
system!
* Docstrings examples for string methods
* Fix groupby_bins when labels are specified
* Fix binning by unsorted array
* This release includes support for pandas v2, allows
refreshing of backend engines in a session, and removes
deprecated backends for ``rasterio`` and ``cfgrib``.
Comments 0