%global _empty_manifest_terminate_build 0
Name:		python-feather-format
Version:	0.4.1
Release:	1
Summary:	Simple wrapper library to the Apache Arrow-based Feather File Format
License:	Apache License, Version 2.0
URL:		http://github.com/wesm/feather
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/67/e8/ee99f142f19d35588501943510f8217f9dd77184574b0c933c53218e0f19/feather-format-0.4.1.tar.gz
BuildArch:	noarch


%description
## Python interface to the Apache Arrow-based Feather File Format

Feather efficiently stores pandas DataFrame objects on disk. It depends on the
Apache Arrow for Python

## Installing

```shell
pip install feather-format
```

pip users note: ``feather-format`` depends on ``pyarrow`` and may not be
available on your platform via pip. If that does not work try conda-forge.

From [conda-forge][1]:

```shell
conda install feather-format -c conda-forge
```

## Limitations

Some features of pandas are not supported in Feather:

* Non-string column names
* Row indexes
* Object-type columns with non-homogeneous data

[1]: https://conda-forge.github.io

%package -n python3-feather-format
Summary:	Simple wrapper library to the Apache Arrow-based Feather File Format
Provides:	python-feather-format
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-feather-format
## Python interface to the Apache Arrow-based Feather File Format

Feather efficiently stores pandas DataFrame objects on disk. It depends on the
Apache Arrow for Python

## Installing

```shell
pip install feather-format
```

pip users note: ``feather-format`` depends on ``pyarrow`` and may not be
available on your platform via pip. If that does not work try conda-forge.

From [conda-forge][1]:

```shell
conda install feather-format -c conda-forge
```

## Limitations

Some features of pandas are not supported in Feather:

* Non-string column names
* Row indexes
* Object-type columns with non-homogeneous data

[1]: https://conda-forge.github.io

%package help
Summary:	Development documents and examples for feather-format
Provides:	python3-feather-format-doc
%description help
## Python interface to the Apache Arrow-based Feather File Format

Feather efficiently stores pandas DataFrame objects on disk. It depends on the
Apache Arrow for Python

## Installing

```shell
pip install feather-format
```

pip users note: ``feather-format`` depends on ``pyarrow`` and may not be
available on your platform via pip. If that does not work try conda-forge.

From [conda-forge][1]:

```shell
conda install feather-format -c conda-forge
```

## Limitations

Some features of pandas are not supported in Feather:

* Non-string column names
* Row indexes
* Object-type columns with non-homogeneous data

[1]: https://conda-forge.github.io

%prep
%autosetup -n feather-format-0.4.1

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

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

%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.1-1
- Package Spec generated