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@@ -0,0 +1 @@ +/sci_analysis-2.2.1.tar.gz diff --git a/python-sci-analysis.spec b/python-sci-analysis.spec new file mode 100644 index 0000000..37667f1 --- /dev/null +++ b/python-sci-analysis.spec @@ -0,0 +1,197 @@ +%global _empty_manifest_terminate_build 0 +Name: python-sci-analysis +Version: 2.2.1 +Release: 1 +Summary: An easy to use and powerful python-based data exploration and analysis tool +License: MIT License +URL: https://github.com/cmmorrow/sci-analysis +Source0: https://mirrors.aliyun.com/pypi/web/packages/ec/4b/011af4741840b4c338d0278bbd0a436d18aa0467e2382160847226ac2366/sci_analysis-2.2.1.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-scipy +Requires: python3-pandas +Requires: python3-matplotlib +Requires: python3-six + +%description +# sci-analysis +An easy to use and powerful python-based data exploration and analysis tool + +## Current Version: +2.2 --- Released January 5, 2019 + +[](https://pypi.python.org/pypi/sci_analysis) +[](https://pypi.python.org/pypi/sci_analysis) +[](https://pypi.python.org/pypi/sci_analysis) +[](https://travis-ci.org/cmmorrow/sci-analysis) +[](https://coveralls.io/github/cmmorrow/sci-analysis?branch=master) + +### What is sci-analysis? +sci-analysis is a python package for quickly performing statistical data analysis. It provides a graphical representation of the supplied data as well as the statistical analysis. sci-analysis is smart enough to determine the correct analysis and tests to perform based on the shape of the data you provide, as well as how the data is distributed. + +The types of analysis that can be performed are histograms of numeric or categorical data, bi-variate analysis of two numeric data vectors, and one-way analysis of variance. + +### What's new in sci-analysis version 2.2? + +* Version 2.2 adds the ability to add data labels to scatter plots. +* The default behavior of the histogram and statistics was changed from assuming a sample, to assuming a population. +* Fixed a bug involving the Mann Whitney U test, where the minimum size was set incorrectly. +* Verified compatibility with python 3.7. + +### Getting started with sci-analysis +The documentation on how to install and use sci-analysis can be found here: + +[http://sci-analysis.readthedocs.io/en/latest/](http://sci-analysis.readthedocs.io/en/latest/) + + +### Requirements +* Packages: pandas, numpy, scipy, matplotlib, six +* Supports python 2.7, 3.5, 3.6, and 3.7 + +Bugs can be reported here: + +[https://github.com/cmmorrow/sci-analysis/issues](https://github.com/cmmorrow/sci-analysis/issues) + + + + + +%package -n python3-sci-analysis +Summary: An easy to use and powerful python-based data exploration and analysis tool +Provides: python-sci-analysis +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-sci-analysis +# sci-analysis +An easy to use and powerful python-based data exploration and analysis tool + +## Current Version: +2.2 --- Released January 5, 2019 + +[](https://pypi.python.org/pypi/sci_analysis) +[](https://pypi.python.org/pypi/sci_analysis) +[](https://pypi.python.org/pypi/sci_analysis) +[](https://travis-ci.org/cmmorrow/sci-analysis) +[](https://coveralls.io/github/cmmorrow/sci-analysis?branch=master) + +### What is sci-analysis? +sci-analysis is a python package for quickly performing statistical data analysis. It provides a graphical representation of the supplied data as well as the statistical analysis. sci-analysis is smart enough to determine the correct analysis and tests to perform based on the shape of the data you provide, as well as how the data is distributed. + +The types of analysis that can be performed are histograms of numeric or categorical data, bi-variate analysis of two numeric data vectors, and one-way analysis of variance. + +### What's new in sci-analysis version 2.2? + +* Version 2.2 adds the ability to add data labels to scatter plots. +* The default behavior of the histogram and statistics was changed from assuming a sample, to assuming a population. +* Fixed a bug involving the Mann Whitney U test, where the minimum size was set incorrectly. +* Verified compatibility with python 3.7. + +### Getting started with sci-analysis +The documentation on how to install and use sci-analysis can be found here: + +[http://sci-analysis.readthedocs.io/en/latest/](http://sci-analysis.readthedocs.io/en/latest/) + + +### Requirements +* Packages: pandas, numpy, scipy, matplotlib, six +* Supports python 2.7, 3.5, 3.6, and 3.7 + +Bugs can be reported here: + +[https://github.com/cmmorrow/sci-analysis/issues](https://github.com/cmmorrow/sci-analysis/issues) + + + + + +%package help +Summary: Development documents and examples for sci-analysis +Provides: python3-sci-analysis-doc +%description help +# sci-analysis +An easy to use and powerful python-based data exploration and analysis tool + +## Current Version: +2.2 --- Released January 5, 2019 + +[](https://pypi.python.org/pypi/sci_analysis) +[](https://pypi.python.org/pypi/sci_analysis) +[](https://pypi.python.org/pypi/sci_analysis) +[](https://travis-ci.org/cmmorrow/sci-analysis) +[](https://coveralls.io/github/cmmorrow/sci-analysis?branch=master) + +### What is sci-analysis? +sci-analysis is a python package for quickly performing statistical data analysis. It provides a graphical representation of the supplied data as well as the statistical analysis. sci-analysis is smart enough to determine the correct analysis and tests to perform based on the shape of the data you provide, as well as how the data is distributed. + +The types of analysis that can be performed are histograms of numeric or categorical data, bi-variate analysis of two numeric data vectors, and one-way analysis of variance. + +### What's new in sci-analysis version 2.2? + +* Version 2.2 adds the ability to add data labels to scatter plots. +* The default behavior of the histogram and statistics was changed from assuming a sample, to assuming a population. +* Fixed a bug involving the Mann Whitney U test, where the minimum size was set incorrectly. +* Verified compatibility with python 3.7. + +### Getting started with sci-analysis +The documentation on how to install and use sci-analysis can be found here: + +[http://sci-analysis.readthedocs.io/en/latest/](http://sci-analysis.readthedocs.io/en/latest/) + + +### Requirements +* Packages: pandas, numpy, scipy, matplotlib, six +* Supports python 2.7, 3.5, 3.6, and 3.7 + +Bugs can be reported here: + +[https://github.com/cmmorrow/sci-analysis/issues](https://github.com/cmmorrow/sci-analysis/issues) + + + + + +%prep +%autosetup -n sci_analysis-2.2.1 + +%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-sci-analysis -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 2.2.1-1 +- Package Spec generated @@ -0,0 +1 @@ +4536c6191217fb3a72b4c68e060b6e1f sci_analysis-2.2.1.tar.gz |