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%global _empty_manifest_terminate_build 0
Name: python-scikit-posthocs
Version: 0.7.0
Release: 1
Summary: Statistical post-hoc analysis and outlier detection algorithms
License: MIT
URL: https://github.com/maximtrp/scikit-posthocs
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/71/51/51be38d554b5ab4822074563adc3befb455c6113e82f9ad6d33afa5ffdb0/scikit-posthocs-0.7.0.tar.gz
BuildArch: noarch
Requires: python3-numpy
Requires: python3-scipy
Requires: python3-statsmodels
Requires: python3-pandas
Requires: python3-seaborn
Requires: python3-matplotlib
%description
**scikit-posthocs** is a Python package that provides post hoc tests for
pairwise multiple comparisons that are usually performed in statistical
data analysis to assess the differences between group levels if a statistically
significant result of ANOVA test has been obtained.
**scikit-posthocs** is tightly integrated with Pandas DataFrames and NumPy
arrays to ensure fast computations and convenient data import and storage.
This package will be useful for statisticians, data analysts, and
researchers who use Python in their work.
%package -n python3-scikit-posthocs
Summary: Statistical post-hoc analysis and outlier detection algorithms
Provides: python-scikit-posthocs
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-scikit-posthocs
**scikit-posthocs** is a Python package that provides post hoc tests for
pairwise multiple comparisons that are usually performed in statistical
data analysis to assess the differences between group levels if a statistically
significant result of ANOVA test has been obtained.
**scikit-posthocs** is tightly integrated with Pandas DataFrames and NumPy
arrays to ensure fast computations and convenient data import and storage.
This package will be useful for statisticians, data analysts, and
researchers who use Python in their work.
%package help
Summary: Development documents and examples for scikit-posthocs
Provides: python3-scikit-posthocs-doc
%description help
**scikit-posthocs** is a Python package that provides post hoc tests for
pairwise multiple comparisons that are usually performed in statistical
data analysis to assess the differences between group levels if a statistically
significant result of ANOVA test has been obtained.
**scikit-posthocs** is tightly integrated with Pandas DataFrames and NumPy
arrays to ensure fast computations and convenient data import and storage.
This package will be useful for statisticians, data analysts, and
researchers who use Python in their work.
%prep
%autosetup -n scikit-posthocs-0.7.0
%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-scikit-posthocs -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 0.7.0-1
- Package Spec generated
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