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authorCoprDistGit <infra@openeuler.org>2023-06-20 05:58:19 +0000
committerCoprDistGit <infra@openeuler.org>2023-06-20 05:58:19 +0000
commit87741b97d6b58d7615573efa421cae42437a5c8a (patch)
treeff820fca8c0c1090aeff94ae7606783a3acf4631
parentd7203e53cecb36e54365d05030de55aeb7c9c6fc (diff)
automatic import of python-sci-analysisopeneuler20.03
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-rw-r--r--python-sci-analysis.spec197
-rw-r--r--sources1
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+/sci_analysis-2.2.1.tar.gz
diff --git a/python-sci-analysis.spec b/python-sci-analysis.spec
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+++ b/python-sci-analysis.spec
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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
+
+[![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 <Python_Bot@openeuler.org> - 2.2.1-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..f986314
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+4536c6191217fb3a72b4c68e060b6e1f sci_analysis-2.2.1.tar.gz