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|
%global _empty_manifest_terminate_build 0
Name: python-pyarrow
Version: 11.0.0
Release: 1
Summary: Python library for Apache Arrow
License: Apache License, Version 2.0
URL: https://arrow.apache.org/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/2c/e7/49cc11436f92a6a9001e4002fb8e5cd6733fc15a89a354cbc22b206a8171/pyarrow-11.0.0.tar.gz
Requires: python3-numpy
%description
<!---
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied. See the License for the
specific language governing permissions and limitations
under the License.
-->
## Python library for Apache Arrow
[](https://pypi.org/project/pyarrow/) [](https://anaconda.org/conda-forge/pyarrow)
This library provides a Python API for functionality provided by the Arrow C++
libraries, along with tools for Arrow integration and interoperability with
pandas, NumPy, and other software in the Python ecosystem.
## Installing
Across platforms, you can install a recent version of pyarrow with the conda
package manager:
```shell
conda install pyarrow -c conda-forge
```
On Linux, macOS, and Windows, you can also install binary wheels from PyPI with
pip:
```shell
pip install pyarrow
```
If you encounter any issues importing the pip wheels on Windows, you may need
to install the [Visual C++ Redistributable for Visual Studio 2015][6].
## Development
See [Python Development][2] in the documentation subproject.
### Building the documentation
See [documentation build instructions][1] in the documentation subproject.
[1]: https://github.com/apache/arrow/blob/master/docs/source/developers/documentation.rst
[2]: https://github.com/apache/arrow/blob/master/docs/source/developers/python.rst
[3]: https://github.com/pandas-dev/pandas
[5]: https://arrow.apache.org/docs/latest/python/benchmarks.html
[6]: https://www.microsoft.com/en-us/download/details.aspx?id=48145
%package -n python3-pyarrow
Summary: Python library for Apache Arrow
Provides: python-pyarrow
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-pyarrow
<!---
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied. See the License for the
specific language governing permissions and limitations
under the License.
-->
## Python library for Apache Arrow
[](https://pypi.org/project/pyarrow/) [](https://anaconda.org/conda-forge/pyarrow)
This library provides a Python API for functionality provided by the Arrow C++
libraries, along with tools for Arrow integration and interoperability with
pandas, NumPy, and other software in the Python ecosystem.
## Installing
Across platforms, you can install a recent version of pyarrow with the conda
package manager:
```shell
conda install pyarrow -c conda-forge
```
On Linux, macOS, and Windows, you can also install binary wheels from PyPI with
pip:
```shell
pip install pyarrow
```
If you encounter any issues importing the pip wheels on Windows, you may need
to install the [Visual C++ Redistributable for Visual Studio 2015][6].
## Development
See [Python Development][2] in the documentation subproject.
### Building the documentation
See [documentation build instructions][1] in the documentation subproject.
[1]: https://github.com/apache/arrow/blob/master/docs/source/developers/documentation.rst
[2]: https://github.com/apache/arrow/blob/master/docs/source/developers/python.rst
[3]: https://github.com/pandas-dev/pandas
[5]: https://arrow.apache.org/docs/latest/python/benchmarks.html
[6]: https://www.microsoft.com/en-us/download/details.aspx?id=48145
%package help
Summary: Development documents and examples for pyarrow
Provides: python3-pyarrow-doc
%description help
<!---
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied. See the License for the
specific language governing permissions and limitations
under the License.
-->
## Python library for Apache Arrow
[](https://pypi.org/project/pyarrow/) [](https://anaconda.org/conda-forge/pyarrow)
This library provides a Python API for functionality provided by the Arrow C++
libraries, along with tools for Arrow integration and interoperability with
pandas, NumPy, and other software in the Python ecosystem.
## Installing
Across platforms, you can install a recent version of pyarrow with the conda
package manager:
```shell
conda install pyarrow -c conda-forge
```
On Linux, macOS, and Windows, you can also install binary wheels from PyPI with
pip:
```shell
pip install pyarrow
```
If you encounter any issues importing the pip wheels on Windows, you may need
to install the [Visual C++ Redistributable for Visual Studio 2015][6].
## Development
See [Python Development][2] in the documentation subproject.
### Building the documentation
See [documentation build instructions][1] in the documentation subproject.
[1]: https://github.com/apache/arrow/blob/master/docs/source/developers/documentation.rst
[2]: https://github.com/apache/arrow/blob/master/docs/source/developers/python.rst
[3]: https://github.com/pandas-dev/pandas
[5]: https://arrow.apache.org/docs/latest/python/benchmarks.html
[6]: https://www.microsoft.com/en-us/download/details.aspx?id=48145
%prep
%autosetup -n pyarrow-11.0.0
%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-pyarrow -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 11.0.0-1
- Package Spec generated
|
