%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 [![PyPI](https://img.shields.io/pypi/v/sci_analysis.svg)](https://pypi.python.org/pypi/sci_analysis) [![PyPI](https://img.shields.io/pypi/format/sci_analysis.svg)](https://pypi.python.org/pypi/sci_analysis) [![PyPI](https://img.shields.io/pypi/pyversions/sci_analysis.svg)](https://pypi.python.org/pypi/sci_analysis) [![Build Status](https://travis-ci.org/cmmorrow/sci-analysis.svg?branch=master)](https://travis-ci.org/cmmorrow/sci-analysis) [![Coverage Status](https://coveralls.io/repos/github/cmmorrow/sci-analysis/badge.svg?branch=master)](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 [![PyPI](https://img.shields.io/pypi/v/sci_analysis.svg)](https://pypi.python.org/pypi/sci_analysis) [![PyPI](https://img.shields.io/pypi/format/sci_analysis.svg)](https://pypi.python.org/pypi/sci_analysis) [![PyPI](https://img.shields.io/pypi/pyversions/sci_analysis.svg)](https://pypi.python.org/pypi/sci_analysis) [![Build Status](https://travis-ci.org/cmmorrow/sci-analysis.svg?branch=master)](https://travis-ci.org/cmmorrow/sci-analysis) [![Coverage Status](https://coveralls.io/repos/github/cmmorrow/sci-analysis/badge.svg?branch=master)](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 [![PyPI](https://img.shields.io/pypi/v/sci_analysis.svg)](https://pypi.python.org/pypi/sci_analysis) [![PyPI](https://img.shields.io/pypi/format/sci_analysis.svg)](https://pypi.python.org/pypi/sci_analysis) [![PyPI](https://img.shields.io/pypi/pyversions/sci_analysis.svg)](https://pypi.python.org/pypi/sci_analysis) [![Build Status](https://travis-ci.org/cmmorrow/sci-analysis.svg?branch=master)](https://travis-ci.org/cmmorrow/sci-analysis) [![Coverage Status](https://coveralls.io/repos/github/cmmorrow/sci-analysis/badge.svg?branch=master)](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 - 2.2.1-1 - Package Spec generated