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|
%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
|
