%global _empty_manifest_terminate_build 0
Name:		python-pointpats
Version:	2.3.0
Release:	1
Summary:	Methods and Functions for planar point pattern analysis
License:	3-Clause BSD
URL:		https://github.com/pysal/pointpats
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/07/a8/1e1e47eeece4e9d7b2536f2d9b66af172a0400a104231a98fd6c959e767a/pointpats-2.3.0.tar.gz
BuildArch:	noarch

Requires:	python3-scipy
Requires:	python3-numpy
Requires:	python3-pandas
Requires:	python3-matplotlib
Requires:	python3-libpysal
Requires:	python3-sphinx
Requires:	python3-sphinxcontrib-bibtex
Requires:	python3-sphinx-bootstrap-theme
Requires:	python3-scikit-learn
Requires:	python3-pytest
Requires:	python3-codecov
Requires:	python3-pytest-cov

%description
# pointpats: Point Pattern Analysis in PySAL

[![Continuous Integration](https://github.com/pysal/pointpats/actions/workflows/tests.yaml/badge.svg)](https://github.com/pysal/pointpats/actions/workflows/tests.yaml)
[![codecov](https://codecov.io/gh/pysal/pointpats/branch/master/graph/badge.svg)](https://codecov.io/gh/pysal/pointpats)
[![Documentation Status](https://readthedocs.org/projects/pointpats/badge/?version=latest)](https://pointpats.readthedocs.io/en/latest/?badge=latest)
[![PyPI version](https://badge.fury.io/py/pointpats.svg)](https://badge.fury.io/py/pointpats)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3265637.svg)](https://doi.org/10.5281/zenodo.3265637)

Statistical analysis of planar point patterns.

This package is part of [PySAL](https://pysal.org): The Python Spatial Analysis Library.

## Introduction

This [pointpats](https://github.com/pysal/pointpats) package is intended
to support the statistical analysis of planar point patterns.

It currently works on cartesian coordinates. Users with data in
geographic coordinates need to project their data prior to using this
module.

## Documentation

Online documentation is available
[here](https://pointpats.readthedocs.io).

## Examples

- [Basic point pattern
    structure](https://github.com/pysal/pointpats/tree/main/notebooks/pointpattern.ipynb)
- [Centrography and
    visualization](https://github.com/pysal/pointpats/tree/main/notebooks/centrography.ipynb)
- [Marks](https://github.com/pysal/pointpats/tree/main/notebooks/marks.ipynb)
- [Simulation of point
    processes](https://github.com/pysal/pointpats/tree/main/notebooks/process.ipynb)
- [Distance based
    statistics](https://github.com/pysal/pointpats/tree/main/notebooks/distance_statistics-numpy-oriented.ipynb)

##  Installation

Install pointpats by running:

    $ pip install pointpats

## Development

pointpats development is hosted on
[github](https://github.com/pysal/pointpats).

As part of the PySAL project, pointpats development follows these
[guidelines](http://pysal.org/getting_started).

##  Bug reports

To search for or report bugs, please see pointpats'
[issues](https://github.com/pysal/pointpats/issues).

##  BibTeX Citation

```
@misc{sergio_rey_2019_3265637,
  author       = {Sergio Rey and
                  Wei Kang and
                  Hu Shao and
                  Levi John Wolf and
                  Mridul Seth and
                  James Gaboardi and
                  Dani Arribas-Bel},
  title        = {pysal/pointpats: pointpats 2.1.0},
  month        = jul,
  year         = 2019,
  doi          = {10.5281/zenodo.3265637},
  url          = {https://doi.org/10.5281/zenodo.3265637}
}
```


%package -n python3-pointpats
Summary:	Methods and Functions for planar point pattern analysis
Provides:	python-pointpats
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-pointpats
# pointpats: Point Pattern Analysis in PySAL

[![Continuous Integration](https://github.com/pysal/pointpats/actions/workflows/tests.yaml/badge.svg)](https://github.com/pysal/pointpats/actions/workflows/tests.yaml)
[![codecov](https://codecov.io/gh/pysal/pointpats/branch/master/graph/badge.svg)](https://codecov.io/gh/pysal/pointpats)
[![Documentation Status](https://readthedocs.org/projects/pointpats/badge/?version=latest)](https://pointpats.readthedocs.io/en/latest/?badge=latest)
[![PyPI version](https://badge.fury.io/py/pointpats.svg)](https://badge.fury.io/py/pointpats)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3265637.svg)](https://doi.org/10.5281/zenodo.3265637)

Statistical analysis of planar point patterns.

This package is part of [PySAL](https://pysal.org): The Python Spatial Analysis Library.

## Introduction

This [pointpats](https://github.com/pysal/pointpats) package is intended
to support the statistical analysis of planar point patterns.

It currently works on cartesian coordinates. Users with data in
geographic coordinates need to project their data prior to using this
module.

## Documentation

Online documentation is available
[here](https://pointpats.readthedocs.io).

## Examples

- [Basic point pattern
    structure](https://github.com/pysal/pointpats/tree/main/notebooks/pointpattern.ipynb)
- [Centrography and
    visualization](https://github.com/pysal/pointpats/tree/main/notebooks/centrography.ipynb)
- [Marks](https://github.com/pysal/pointpats/tree/main/notebooks/marks.ipynb)
- [Simulation of point
    processes](https://github.com/pysal/pointpats/tree/main/notebooks/process.ipynb)
- [Distance based
    statistics](https://github.com/pysal/pointpats/tree/main/notebooks/distance_statistics-numpy-oriented.ipynb)

##  Installation

Install pointpats by running:

    $ pip install pointpats

## Development

pointpats development is hosted on
[github](https://github.com/pysal/pointpats).

As part of the PySAL project, pointpats development follows these
[guidelines](http://pysal.org/getting_started).

##  Bug reports

To search for or report bugs, please see pointpats'
[issues](https://github.com/pysal/pointpats/issues).

##  BibTeX Citation

```
@misc{sergio_rey_2019_3265637,
  author       = {Sergio Rey and
                  Wei Kang and
                  Hu Shao and
                  Levi John Wolf and
                  Mridul Seth and
                  James Gaboardi and
                  Dani Arribas-Bel},
  title        = {pysal/pointpats: pointpats 2.1.0},
  month        = jul,
  year         = 2019,
  doi          = {10.5281/zenodo.3265637},
  url          = {https://doi.org/10.5281/zenodo.3265637}
}
```


%package help
Summary:	Development documents and examples for pointpats
Provides:	python3-pointpats-doc
%description help
# pointpats: Point Pattern Analysis in PySAL

[![Continuous Integration](https://github.com/pysal/pointpats/actions/workflows/tests.yaml/badge.svg)](https://github.com/pysal/pointpats/actions/workflows/tests.yaml)
[![codecov](https://codecov.io/gh/pysal/pointpats/branch/master/graph/badge.svg)](https://codecov.io/gh/pysal/pointpats)
[![Documentation Status](https://readthedocs.org/projects/pointpats/badge/?version=latest)](https://pointpats.readthedocs.io/en/latest/?badge=latest)
[![PyPI version](https://badge.fury.io/py/pointpats.svg)](https://badge.fury.io/py/pointpats)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3265637.svg)](https://doi.org/10.5281/zenodo.3265637)

Statistical analysis of planar point patterns.

This package is part of [PySAL](https://pysal.org): The Python Spatial Analysis Library.

## Introduction

This [pointpats](https://github.com/pysal/pointpats) package is intended
to support the statistical analysis of planar point patterns.

It currently works on cartesian coordinates. Users with data in
geographic coordinates need to project their data prior to using this
module.

## Documentation

Online documentation is available
[here](https://pointpats.readthedocs.io).

## Examples

- [Basic point pattern
    structure](https://github.com/pysal/pointpats/tree/main/notebooks/pointpattern.ipynb)
- [Centrography and
    visualization](https://github.com/pysal/pointpats/tree/main/notebooks/centrography.ipynb)
- [Marks](https://github.com/pysal/pointpats/tree/main/notebooks/marks.ipynb)
- [Simulation of point
    processes](https://github.com/pysal/pointpats/tree/main/notebooks/process.ipynb)
- [Distance based
    statistics](https://github.com/pysal/pointpats/tree/main/notebooks/distance_statistics-numpy-oriented.ipynb)

##  Installation

Install pointpats by running:

    $ pip install pointpats

## Development

pointpats development is hosted on
[github](https://github.com/pysal/pointpats).

As part of the PySAL project, pointpats development follows these
[guidelines](http://pysal.org/getting_started).

##  Bug reports

To search for or report bugs, please see pointpats'
[issues](https://github.com/pysal/pointpats/issues).

##  BibTeX Citation

```
@misc{sergio_rey_2019_3265637,
  author       = {Sergio Rey and
                  Wei Kang and
                  Hu Shao and
                  Levi John Wolf and
                  Mridul Seth and
                  James Gaboardi and
                  Dani Arribas-Bel},
  title        = {pysal/pointpats: pointpats 2.1.0},
  month        = jul,
  year         = 2019,
  doi          = {10.5281/zenodo.3265637},
  url          = {https://doi.org/10.5281/zenodo.3265637}
}
```


%prep
%autosetup -n pointpats-2.3.0

%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-pointpats -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 2.3.0-1
- Package Spec generated