%global _empty_manifest_terminate_build 0 Name: python-arviz Version: 0.15.1 Release: 1 Summary: Exploratory analysis of Bayesian models License: Apache-2.0 URL: http://github.com/arviz-devs/arviz Source0: https://mirrors.nju.edu.cn/pypi/web/packages/19/de/923ea4785a2bfd02c80bdd2beb6357b347e25d52fd045aa437a521584c73/arviz-0.15.1.tar.gz BuildArch: noarch Requires: python3-setuptools Requires: python3-matplotlib Requires: python3-numpy Requires: python3-scipy Requires: python3-packaging Requires: python3-pandas Requires: python3-xarray Requires: python3-h5netcdf Requires: python3-typing-extensions Requires: python3-xarray-einstats Requires: python3-numba Requires: python3-netcdf4 Requires: python3-bokeh Requires: python3-contourpy Requires: python3-ujson Requires: python3-dask[distributed] Requires: python3-zarr %description ## [Gallery](https://python.arviz.org/en/latest/examples/index.html)

Ridge plot Forest Plot Violin Plot
Posterior predictive plot Joint plot Posterior plot
Density plot Pair plot Hexbin Pair plot
Trace plot Energy Plot Rank Plot
## Dependencies ArviZ is tested on Python 3.7, 3.8 and 3.9, and depends on NumPy, SciPy, xarray, and Matplotlib. ## Citation If you use ArviZ and want to cite it please use [![DOI](http://joss.theoj.org/papers/10.21105/joss.01143/status.svg)](https://doi.org/10.21105/joss.01143) Here is the citation in BibTeX format ``` @article{arviz_2019, doi = {10.21105/joss.01143}, url = {https://doi.org/10.21105/joss.01143}, year = {2019}, publisher = {The Open Journal}, volume = {4}, number = {33}, pages = {1143}, author = {Ravin Kumar and Colin Carroll and Ari Hartikainen and Osvaldo Martin}, title = {ArviZ a unified library for exploratory analysis of Bayesian models in Python}, journal = {Journal of Open Source Software} } ``` ## Contributions ArviZ is a community project and welcomes contributions. Additional information can be found in the [Contributing Readme](https://github.com/arviz-devs/arviz/blob/main/CONTRIBUTING.md) ## Code of Conduct ArviZ wishes to maintain a positive community. Additional details can be found in the [Code of Conduct](https://github.com/arviz-devs/arviz/blob/main/CODE_OF_CONDUCT.md) ## Donations ArviZ is a non-profit project under NumFOCUS umbrella. If you want to support ArviZ financially, you can donate [here](https://numfocus.org/donate-to-arviz). ## Sponsors [![NumFOCUS](https://www.numfocus.org/wp-content/uploads/2017/07/NumFocus_LRG.png)](https://numfocus.org) %package -n python3-arviz Summary: Exploratory analysis of Bayesian models Provides: python-arviz BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-arviz ## [Gallery](https://python.arviz.org/en/latest/examples/index.html)

Ridge plot Forest Plot Violin Plot
Posterior predictive plot Joint plot Posterior plot
Density plot Pair plot Hexbin Pair plot
Trace plot Energy Plot Rank Plot
## Dependencies ArviZ is tested on Python 3.7, 3.8 and 3.9, and depends on NumPy, SciPy, xarray, and Matplotlib. ## Citation If you use ArviZ and want to cite it please use [![DOI](http://joss.theoj.org/papers/10.21105/joss.01143/status.svg)](https://doi.org/10.21105/joss.01143) Here is the citation in BibTeX format ``` @article{arviz_2019, doi = {10.21105/joss.01143}, url = {https://doi.org/10.21105/joss.01143}, year = {2019}, publisher = {The Open Journal}, volume = {4}, number = {33}, pages = {1143}, author = {Ravin Kumar and Colin Carroll and Ari Hartikainen and Osvaldo Martin}, title = {ArviZ a unified library for exploratory analysis of Bayesian models in Python}, journal = {Journal of Open Source Software} } ``` ## Contributions ArviZ is a community project and welcomes contributions. Additional information can be found in the [Contributing Readme](https://github.com/arviz-devs/arviz/blob/main/CONTRIBUTING.md) ## Code of Conduct ArviZ wishes to maintain a positive community. Additional details can be found in the [Code of Conduct](https://github.com/arviz-devs/arviz/blob/main/CODE_OF_CONDUCT.md) ## Donations ArviZ is a non-profit project under NumFOCUS umbrella. If you want to support ArviZ financially, you can donate [here](https://numfocus.org/donate-to-arviz). ## Sponsors [![NumFOCUS](https://www.numfocus.org/wp-content/uploads/2017/07/NumFocus_LRG.png)](https://numfocus.org) %package help Summary: Development documents and examples for arviz Provides: python3-arviz-doc %description help ## [Gallery](https://python.arviz.org/en/latest/examples/index.html)

Ridge plot Forest Plot Violin Plot
Posterior predictive plot Joint plot Posterior plot
Density plot Pair plot Hexbin Pair plot
Trace plot Energy Plot Rank Plot
## Dependencies ArviZ is tested on Python 3.7, 3.8 and 3.9, and depends on NumPy, SciPy, xarray, and Matplotlib. ## Citation If you use ArviZ and want to cite it please use [![DOI](http://joss.theoj.org/papers/10.21105/joss.01143/status.svg)](https://doi.org/10.21105/joss.01143) Here is the citation in BibTeX format ``` @article{arviz_2019, doi = {10.21105/joss.01143}, url = {https://doi.org/10.21105/joss.01143}, year = {2019}, publisher = {The Open Journal}, volume = {4}, number = {33}, pages = {1143}, author = {Ravin Kumar and Colin Carroll and Ari Hartikainen and Osvaldo Martin}, title = {ArviZ a unified library for exploratory analysis of Bayesian models in Python}, journal = {Journal of Open Source Software} } ``` ## Contributions ArviZ is a community project and welcomes contributions. Additional information can be found in the [Contributing Readme](https://github.com/arviz-devs/arviz/blob/main/CONTRIBUTING.md) ## Code of Conduct ArviZ wishes to maintain a positive community. Additional details can be found in the [Code of Conduct](https://github.com/arviz-devs/arviz/blob/main/CODE_OF_CONDUCT.md) ## Donations ArviZ is a non-profit project under NumFOCUS umbrella. If you want to support ArviZ financially, you can donate [here](https://numfocus.org/donate-to-arviz). ## Sponsors [![NumFOCUS](https://www.numfocus.org/wp-content/uploads/2017/07/NumFocus_LRG.png)](https://numfocus.org) %prep %autosetup -n arviz-0.15.1 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-arviz -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri Apr 21 2023 Python_Bot - 0.15.1-1 - Package Spec generated