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

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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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New package for the exploratory analysis of Bayesian models

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