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- 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

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baserev update by copy to link target

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- Skip python39: no xarray anymore
- Build PEP517 wheel
- Skip a failing bokeh test

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baserev update by copy to link target

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- 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
- No longer skip Python 3.8 and 3.11.

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baserev update by copy to link target

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- update to 0.16.1:
  * Fix Numba deprecation errors and incorrect nopython usage
  * Rerun Numba notebook

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- 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)

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baserev update by copy to link target

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- No longer skip Python 3.8 and 3.11. 
- Add missing BuildRequires on dask-array.

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baserev update by copy to link target

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- 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))

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This update requires the new package python-xarray-einstats in this request sr#1037709

- Update to 0.14.0
  * Add weight_predictions function to allow generation of weighted predictions
    from two or more InfereceData with posterior_predictive groups and a set of
    weights (2147)
  * Add Savage-Dickey density ratio plot for Bayes factor approximation. (2037,
    [2152](#2152)
  * Adds rug plot for observed variables to plot_ppc. (2161)
  * Fix dimension ordering for plot_trace with divergences (2151)
- v0.13.0 (2022 Oct 22)
  * Add side argument to plot_violin to allow single-sided violin plots (1996)
  * Added support for Bean Machine via the function from_beanmachine. (2107
  * Add support for warmup samples in from_pystan for PyStan 3. (2132
  * Add exception in az.plot_hdi for x of type np.datetime64 and smooth=True
    (2016)
  * Change ax.plot usage to ax.scatter in plot_pair (1990)
  * Example data has been moved to the arviz_example_data repository and is now
    included using git subtree. (2096 and 2105)
  * Bokeh kde contour plots started to use contourpy package (2104)
  * Update default Bokeh markers for rcparams (2104)
  * Correctly (re)order dimensions for bfmi and plot_energy (2126)
  * Fix bug with the dimension order dependency (2103)
  * Add testing module for labeller classes (2095)
  * Skip compression for object dtype while creating a netcdf file (2129)
  * Fix issue in dim generation when default dims are present in user inputed
    dims (2138)
  * Save InferenceData level attrs to netcdf and zarr (2131)
  * Update tests and docs for updated example data (2137)
  * Copy coords before modifying in ppcplot (2160)
  * Removed fill_last, contour and plot_kwargs arguments from plot_pair
    function (2085)
  * Add translation overview to contributing guide (2041)
  * Improve how to release page (2144)
- v0.12.1 (2022 May 12)
  * Add stat_focus argument to arviz.summary (1998)
  * psislw now smooths log-weights even when shape is lower than 1/3(2011)
  * Fixes from_cmdstanpy, handles parameter vectors of length 1 (2023)
  * Fix typo in BaseLabeller that broke NoVarLabeller (2018)
  * Adding plotting guides (2025)
  * Update links to use new domain (2013)
- v0.12.0 (2022 Mar 23)
  * Add new convenience function arviz.extract_dataset (1725)
  * Add combine_dims argument to several functions (1676)
  * [experimental] Enable dask chunking information to be passed to
    InferenceData.from_netcdf with regex support (1749)
  * Allow kwargs to customize appearance of the mean in plot_lm
  * Add dict option to from_cmdstan log_likelihood parameter (as in
    from_pystan)
  * Unify model comparison API. Both plot_compare, plot_elpd can now take dicts
    of InferenceData or ELPDData (1690)
  * Change default for rcParam stats.ic_pointwise to True (1690)
  * Add new plot type: plot_ecdf (1753)
  * Drop Python 3.6 support (1430)
  * Bokeh 3 compatibility. (1919)
  * Remove manual setting of 2d KDE limits (1939)
  * Pin to bokeh<3 version (1954)
  * Fix legend labels in plot_ppc to reflect prior or posterior. (1967)
  * Change DataFrame.append to pandas.concat (1973)
  * Fix axis sharing behaviour in plot_pair. (1985)
  * Fix parameter duplication problem with PyStan (1962)
  * Temporarily disable pyjags tests (1963)
  * Fix tuple bug in coords (1695)
  * Fix extend 'right' join bug (1718)
  * Update attribute handling for InferenceData (1357)
  * Fix R2 implementation (1666)
  * Added warning message in plot_dist_comparison() in case subplots go over
    the limit (1688)
  * Fix coord value ignoring for default dims (2001)
  * Fixed plot_posterior with boolean data (1707)
  * Fix min_ess usage in plot_ess (2002)
  * Fixed typo in Forestplot documentation
  * Restructured contributing section and added several new pages to help
    contributing to docs (1903)

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initialized devel package after accepting 959944

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A python module for the exploratory analysis of Bayesian models

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