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%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
* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.1-1
- Package Spec generated
|
