automatic import of python-datacommons-pandasopeneuler20.03

3 files changed, 220 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..5f143bb 100644
--- a/.gitignore
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+/datacommons_pandas-0.0.3.tar.gz
diff --git a/python-datacommons-pandas.spec b/python-datacommons-pandas.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-datacommons-pandas
+Version:	0.0.3
+Release:	1
+Summary:	A library to create pandas objects using the Data Commons Python API.
+License:	Apache 2.0
+URL:		https://github.com/datacommonsorg/api-python
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/18/68/d3fcacf9d2431b31a9bab007985a0f2f8dcf919f29878141a06a9b8b2061/datacommons_pandas-0.0.3.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-six
+Requires:	python3-pandas
+
+%description
+# Data Commons Pandas API
+
+This is a Python library for creating pandas objects with data in the
+Data Commons Graph.
+
+To get started, install this package from pip.
+
+    pip install datacommons_pandas
+
+Once the package is installed, import `datacommons_pandas`.
+
+    import datacommons_pandas as dcpd
+
+For more detail on getting started with the API, please visit our
+[API Overview](http://docs.datacommons.org/api/).
+
+When you are ready to use the API, you can refer to `datacommons_pandas/examples` for
+examples on how to use this package to perform various tasks. More tutorials and
+documentation can be found on our [tutorials page](https://datacommons.org/colab)!
+
+## About Data Commons
+
+[Data Commons](https://datacommons.org/) is an open knowledge repository that
+provides a unified view across multiple public data sets and statistics. You can
+view what [datasets](https://datacommons.org/datasets) are currently ingested
+and browse the graph using our [browser](https://browser.datacommons.org/).
+
+## License
+
+Apache 2.0
+
+## Development
+
+Please follow the [Development instructions](../README.md#development).
+
+## Release
+
+Please follow the [Release instructions](../README.md#release).
+
+## Support
+
+For general questions or issues about the API, please open an issue on our
+[issues](https://github.com/datacommonsorg/api-python/issues) page. For all other
+questions, please send an email to `support@datacommons.org`.
+
+**Note** - This is not an officially supported Google product.
+
+
+
+
+%package -n python3-datacommons-pandas
+Summary:	A library to create pandas objects using the Data Commons Python API.
+Provides:	python-datacommons-pandas
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-datacommons-pandas
+# Data Commons Pandas API
+
+This is a Python library for creating pandas objects with data in the
+Data Commons Graph.
+
+To get started, install this package from pip.
+
+    pip install datacommons_pandas
+
+Once the package is installed, import `datacommons_pandas`.
+
+    import datacommons_pandas as dcpd
+
+For more detail on getting started with the API, please visit our
+[API Overview](http://docs.datacommons.org/api/).
+
+When you are ready to use the API, you can refer to `datacommons_pandas/examples` for
+examples on how to use this package to perform various tasks. More tutorials and
+documentation can be found on our [tutorials page](https://datacommons.org/colab)!
+
+## About Data Commons
+
+[Data Commons](https://datacommons.org/) is an open knowledge repository that
+provides a unified view across multiple public data sets and statistics. You can
+view what [datasets](https://datacommons.org/datasets) are currently ingested
+and browse the graph using our [browser](https://browser.datacommons.org/).
+
+## License
+
+Apache 2.0
+
+## Development
+
+Please follow the [Development instructions](../README.md#development).
+
+## Release
+
+Please follow the [Release instructions](../README.md#release).
+
+## Support
+
+For general questions or issues about the API, please open an issue on our
+[issues](https://github.com/datacommonsorg/api-python/issues) page. For all other
+questions, please send an email to `support@datacommons.org`.
+
+**Note** - This is not an officially supported Google product.
+
+
+
+
+%package help
+Summary:	Development documents and examples for datacommons-pandas
+Provides:	python3-datacommons-pandas-doc
+%description help
+# Data Commons Pandas API
+
+This is a Python library for creating pandas objects with data in the
+Data Commons Graph.
+
+To get started, install this package from pip.
+
+    pip install datacommons_pandas
+
+Once the package is installed, import `datacommons_pandas`.
+
+    import datacommons_pandas as dcpd
+
+For more detail on getting started with the API, please visit our
+[API Overview](http://docs.datacommons.org/api/).
+
+When you are ready to use the API, you can refer to `datacommons_pandas/examples` for
+examples on how to use this package to perform various tasks. More tutorials and
+documentation can be found on our [tutorials page](https://datacommons.org/colab)!
+
+## About Data Commons
+
+[Data Commons](https://datacommons.org/) is an open knowledge repository that
+provides a unified view across multiple public data sets and statistics. You can
+view what [datasets](https://datacommons.org/datasets) are currently ingested
+and browse the graph using our [browser](https://browser.datacommons.org/).
+
+## License
+
+Apache 2.0
+
+## Development
+
+Please follow the [Development instructions](../README.md#development).
+
+## Release
+
+Please follow the [Release instructions](../README.md#release).
+
+## Support
+
+For general questions or issues about the API, please open an issue on our
+[issues](https://github.com/datacommonsorg/api-python/issues) page. For all other
+questions, please send an email to `support@datacommons.org`.
+
+**Note** - This is not an officially supported Google product.
+
+
+
+
+%prep
+%autosetup -n datacommons-pandas-0.0.3
+
+%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-datacommons-pandas -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.3-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..b889ee9
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+a9371fc1372d54ed9b66e7d2a6c6dc8f  datacommons_pandas-0.0.3.tar.gz