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| Name: python313-arviz | Distribution: openSUSE Tumbleweed |
| Version: 1.0.0 | Vendor: openSUSE |
| Release: 1.1 | Build date: Tue Mar 3 05:46:54 2026 |
| Group: Unspecified | Build host: reproducible |
| Size: 99584 | Source RPM: python-arviz-1.0.0-1.1.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 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/python3.13/site-packages/arviz /usr/lib/python3.13/site-packages/arviz-1.0.0.dist-info /usr/lib/python3.13/site-packages/arviz-1.0.0.dist-info/INSTALLER /usr/lib/python3.13/site-packages/arviz-1.0.0.dist-info/METADATA /usr/lib/python3.13/site-packages/arviz-1.0.0.dist-info/RECORD /usr/lib/python3.13/site-packages/arviz-1.0.0.dist-info/REQUESTED /usr/lib/python3.13/site-packages/arviz-1.0.0.dist-info/WHEEL /usr/lib/python3.13/site-packages/arviz-1.0.0.dist-info/licenses /usr/lib/python3.13/site-packages/arviz-1.0.0.dist-info/licenses/LICENSE /usr/lib/python3.13/site-packages/arviz/__init__.py /usr/lib/python3.13/site-packages/arviz/__pycache__ /usr/lib/python3.13/site-packages/arviz/__pycache__/__init__.cpython-313.opt-1.pyc /usr/lib/python3.13/site-packages/arviz/__pycache__/__init__.cpython-313.pyc /usr/share/doc/packages/python313-arviz /usr/share/doc/packages/python313-arviz/CHANGELOG.md /usr/share/doc/packages/python313-arviz/README.md /usr/share/licenses/python313-arviz /usr/share/licenses/python313-arviz/LICENSE
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