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| Name: python314-arviz | Distribution: openSUSE Tumbleweed |
| Version: 1.1.0 | Vendor: openSUSE |
| Release: 1.1 | Build date: Tue May 19 10:07:23 2026 |
| Group: Unspecified | Build host: reproducible |
| Size: 102263 | Source RPM: python-arviz-1.1.0-1.1.src.rpm |
| Packager: https://bugs.opensuse.org | |
| Url: http://github.com/arviz-devs/arviz | |
| Summary: Exploratory analysis of Bayesian models | |
ArviZ is a Python package for exploratory analysis of Bayesian models. Includes functions for posterior analysis, data storage, model checking, comparison and diagnostics.
Apache-2.0
* Tue May 19 2026 Daniel Garcia <daniel.garcia@suse.com>
- Update to 1.1.0:
ArviZ 1.1 builds on the 1.0 release with incremental improvements
and no major breaking changes.
The 1.0 ArviZ introduced many breaking changes: See the migration
guide for an overview of improvements and guidance on things that
will break and how to update them.
The whole library has been refactored for extra flexibility and
modularity as well as reducing the cost of maintaining and adding
new features to the library. arviz is now a metapackage that exposes
all the common functions that are implemented in independent
packages of the ArviZverse. For a detailed list of changes you can
check the changelog of each of these packages.
Take a look at the online book on Exploratory Analysis of Bayesian
Models to see it in action and at the docs of the 3 ArviZ packages:
arviz-base, arviz-stats and arviz-plots (note all the objects at the
top level namespace of these 3 libraries are also exposed as
arviz.xyz)
[#]# Changes in the metapackage.
- Add Apache license headers by @ellatso in #2534
- Schema updates by @OriolAbril in #2544
- Replace gitter mentions with GitHub discussions by @cheelaakhil in
[#2561]
- Check legacy imports by @symeneses in #2567
- Emit prominent MigrationWarning instead of breaking InferenceData
import by @michaelosthege in #2575
* Tue Mar 03 2026 Steve Kowalik <steven.kowalik@suse.com>
- Update to 1.0.0:
* Refactored for extra flexibility and modularity as well as reducing the
cost of maintaining and adding new features to the library.
+ Now {Build,}Requires arviz-{base,plots,stats}.
* Thu Jan 22 2026 Dirk Müller <dmueller@suse.com>
- update to 0.23.1:
* Patch release to handle the recent 1.8 h5netcdf release.
h5netcdf now has two potential backends, and one must be
chosen explicitly to get an install capable of
reading/writing netcdf files.
* Mon Dec 22 2025 Ben Greiner <code@bnavigator.de>
- Update to 0.23.0
* Note from the authors: We expect this to be the last 0.x ArviZ
release. See the migration guide to read about what this will
mean.
https://python.arviz.org/en/latest/user_guide/migration_guide.html
* fixes in netcdf serialization for InferenceData and fixes to
DataTree<->InferenceData conversions.
- Release 0.22.0
* The highlights of these release are interoperability of
InferenceData and the new xarray.DataTree object and automatic
inferring of dimension names from plates in the numpyro
converter.
* We have also done more testing of the arviz.preview module.
Take a look at the migration guide if you want an early peek to
the changes and improvements to come. You can treat
arviz.preview as a beta release of ArviZ 1.0 so use carefully
and keep an eye on the development. We hope to have a release
candidate available for wider user testing in a few months.
- Release 0.21.0
* handle python -OO by @JohannesBuchner in #2393
* Align autogenerated dimension names when dims and default_dims
are provided by @lucianopaz in #2395
* Allow custom groups without warnings by @OriolAbril in #2401
* Robustify preview module by @OriolAbril in #2398
* add ecdf comparison plot by @OriolAbril in #2178
* Add a parameter to enable/disable smoothing on discrete
variables in BLV (Issue #2325) by @Patchouli-Kenntnis in #2344
* Update mcse_sd calculation to not use normality assumption. by
@ahartikainen in #2167
* Split up Bayes Factor stat and plotting functions by @mpmbq2 in
[#2406]
* plot_hdi raise exception when x is string (#2412) by
@milesalanmoore in #2413
* Sun Oct 06 2024 Ben Greiner <code@bnavigator.de>
- Update to 0.20.0
[#]#New features
* Add optimized simultaneous ECDF confidence bands (2368)
* Add support for setting groups with idata[group] (2374)
[#]# Maintenance and fixes
* Make dm-tree and optional dependency (2379)
* Fix bug in psislw modifying input inplace (2377)
* Fix behaviour of two dimensional KDE plot with recent
matplotlib releases (2383)
* Make defaults in plot_compare more intuitive (2388)
[#]# Documentation
* Added extensions of virtual environments in .gitignore (2371)
* Fixed the issue in the Contribution References Documentation
(2369)
* Improve docstrings for loo and waic (2366)
- Release 0.19.0
[#]# New Features
* Use revised Pareto k threshold (2349)
* Added arguments ci_prob, eval_points, rvs, and random_state to
plot_ecdf (2316)
* Deprecated rcParam stats.hdi_prob and replaced with
stats.ci_prob (2316)
* Expose features from arviz-base, arviz-stats and arviz-plots as
arviz.preview submodule (2361)
[#]# Maintenance and fixes
* Ensure support with numpy 2.0 (2321)
* Update testing strategy to include an environment without
optional dependencies and an environment with scientific python
nightlies (2321)
* Address bokeh related deprecations (2362)
* Fix legend overwriting issue in plot_trace (2334)
[#]# Deprecation
* Support for arrays and DataArrays in plot_khat has been
deprecated. Only ELPDdata will be supported in the future
(2349)
* Removed arguments values2, fpr, pointwise, and pit in plot_ecdf
(2316)
- Update test setup
* Disable numba test due to missing compatibility with numpy 2.1
* Remove old bokeh test skips
* Add netCDF4 to tests
* Run in parallel with pytest-xdist
* Thu Jul 11 2024 Steve Kowalik <steven.kowalik@suse.com>
- Update to 0.18.0:
* New features
+ Add new example data rugby_field and update rugby example data
+ Support for pytrees and robust to nested dictionaries.
+ Add .close method to InferenceData
* Maintenance and fixes
+ Fix deprecation warnings in multiple dependencies
* Deprecation
+ Removed arguments values2, fpr, pointwise, npoints, and pit in
plot_ecdf
- Restrict numpy to < 2.
* Mon Mar 18 2024 Dirk Müller <dmueller@suse.com>
- update to 0.17.1:
* Fix deprecations introduced in latest pandas and xarray
versions, and prepare for numpy 2.0 ones (2315))
* Refactor ECDF code
* Fix `plot_forest` when Numba is installed
* Sat Mar 02 2024 Ben Greiner <code@bnavigator.de>
- Skip python39: no xarray anymore
- Build PEP517 wheel
- Skip a failing bokeh test
* Sat Jan 20 2024 Dirk Müller <dmueller@suse.com>
- update to 0.17.0:
* Add prior sensitivity diagnostic `psens`
* Add filter_vars functionality to
`InfereceData.to_dataframe`method
* Update requirements: matplotlib>=3.5, pandas>=1.4.0,
numpy>=1.22.0
* Fix behaviour of `plot_ppc` when dimension order isn't
`chain, draw, ...`
* Avoid repeating the variable name in `plot_ppc`,
`plot_bpv`, `plot_loo_pit`... when repeated.
* Add support for the latest CmdStanPy.
* Fix import error on windows due to missing encoding
argument
* Add ``__delitem__`` method to InferenceData
* Improve the docstring of `psislw`
* Rerun the quickstart and working with InferenceData notebooks
* Several fixes in `plot_ppc` docstring
* Wed Jul 26 2023 Dirk Müller <dmueller@suse.com>
- update to 0.16.1:
* Fix Numba deprecation errors and incorrect nopython usage
* Rerun Numba notebook
* Sun Jul 16 2023 Dirk Müller <dmueller@suse.com>
- update to 0.16.0:
* Add InferenceData<->DataTree conversion functions (2253)
* Bayes Factor plot: Use arviz's kde instead of the one from
scipy (2237)
* InferenceData objects can now be appended to existing netCDF4
files and to specific groups within them (2227)
* Added facade functions `az.to_zarr` and `az.from_zarr` (2236)
* Replace deprecated np.product with np.prod (2249)
* Fix numba deprecation warning (2246)
* Fixes for creating numpy object array (2233 and 2239)
* Adapt histograms generated by plot_dist to input dtype (2247)
* Fri Jun 02 2023 Steve Kowalik <steven.kowalik@suse.com>
- No longer skip Python 3.8 and 3.11.
- Add missing BuildRequires on dask-array.
* Wed Mar 22 2023 Daniel Garcia <daniel.garcia@suse.com>
- skip python 3.11 and python 3.8 because some dependencies doesn't
support that python versions
- Update to 0.15.1
- Fix memory usage and improve efficiency in `from_emcee`
([2215](https://github.com/arviz-devs/arviz/pull/2215))
- Lower pandas version needed
([2217](https://github.com/arviz-devs/arviz/pull/2217))
- 0.15.0
- Adds Savage-Dickey density ratio plot for Bayes factor
approximation.
([2037](https://github.com/arviz-devs/arviz/pull/2037),
[2152](https://github.com/arviz-devs/arviz/pull/2152))
- Add `CmdStanPySamplingWrapper` and `PyMCSamplingWrapper` classes
([2158](https://github.com/arviz-devs/arviz/pull/2158))
- Changed dependency on netcdf4-python to h5netcdf
([2122](https://github.com/arviz-devs/arviz/pull/2122))
- Fix `reloo` outdated usage of `ELPDData`
([2158](https://github.com/arviz-devs/arviz/pull/2158))
- plot_bpv smooth discrete data only when computing u_values
([2179](https://github.com/arviz-devs/arviz/pull/2179))
- Fix bug when beanmachine objects lack some fields
([2154](https://github.com/arviz-devs/arviz/pull/2154))
- Fix gap for `plot_trace` with option `kind="rank_bars"`
([2180](https://github.com/arviz-devs/arviz/pull/2180))
- Fix `plot_lm` unsupported usage of `np.tile`
([2186](https://github.com/arviz-devs/arviz/pull/2186))
- Update `_z_scale` to work with SciPy 1.10
([2186](https://github.com/arviz-devs/arviz/pull/2186))
- Fix bug in BaseLabeller when combining with with NoVarLabeller
([2200](https://github.com/arviz-devs/arviz/pull/2200))
/usr/lib/python3.14/site-packages/arviz /usr/lib/python3.14/site-packages/arviz-1.1.0.dist-info /usr/lib/python3.14/site-packages/arviz-1.1.0.dist-info/INSTALLER /usr/lib/python3.14/site-packages/arviz-1.1.0.dist-info/METADATA /usr/lib/python3.14/site-packages/arviz-1.1.0.dist-info/RECORD /usr/lib/python3.14/site-packages/arviz-1.1.0.dist-info/REQUESTED /usr/lib/python3.14/site-packages/arviz-1.1.0.dist-info/WHEEL /usr/lib/python3.14/site-packages/arviz-1.1.0.dist-info/licenses /usr/lib/python3.14/site-packages/arviz-1.1.0.dist-info/licenses/LICENSE /usr/lib/python3.14/site-packages/arviz/__init__.py /usr/lib/python3.14/site-packages/arviz/__pycache__ /usr/lib/python3.14/site-packages/arviz/__pycache__/__init__.cpython-314.opt-1.pyc /usr/lib/python3.14/site-packages/arviz/__pycache__/__init__.cpython-314.pyc /usr/share/doc/packages/python314-arviz /usr/share/doc/packages/python314-arviz/CHANGELOG.md /usr/share/doc/packages/python314-arviz/README.md /usr/share/licenses/python314-arviz /usr/share/licenses/python314-arviz/LICENSE
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