automatic import of python-ggplot

3 files changed, 203 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..7904bc3 100644
--- a/.gitignore
+++ b/.gitignore
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+/ggplot-0.11.5.tar.gz
diff --git a/python-ggplot.spec b/python-ggplot.spec
new file mode 100644
index 0000000..3cd9cb5
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+++ b/python-ggplot.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-ggplot
+Version:	0.11.5
+Release:	1
+Summary:	ggplot for python
+License:	BSD
+URL:		https://github.com/yhat/ggplot/
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/3f/a1/090033eb6be0f62350a2fa209e4813a194431997de6f5486366f5b55b992/ggplot-0.11.5.tar.gz
+BuildArch:	noarch
+
+
+%description
+What is it?
+~~~~~~~~~~~
+``ggplot`` is a Python implementation of the grammar of graphics. It is
+not intended to be a feature-for-feature port of
+```ggplot2 for R`` <https://github.com/hadley/ggplot2>`__--though there
+is much greatness in ``ggplot2``, the Python world could stand to
+benefit from it. So there **will be feature overlap**, but not
+neccessarily mimicry (after all, R is a little weird).
+You can do cool things like this:
+    ggplot(diamonds, aes(x='price', color='clarity')) + \
+        geom_density() + \
+        scale_color_brewer(type='div', palette=7) + \
+        facet_wrap('cut')
+Installation
+~~~~~~~~~~~~
+    $ pip install -U ggplot
+    # or 
+    $ conda install -c conda-forge ggplot
+    # or
+    pip install git+https://github.com/yhat/ggplot.git
+Examples
+~~~~~~~~
+Examples are the best way to learn. There is a Jupyter Notebook full of
+them. There are also notebooks that show how to do particular things
+with ggplot (i.e. `make a scatter
+plot <./docs/how-to/Making%20a%20Scatter%20Plot.ipynb>`__ or `make a
+histogram <./docs/how-to/Making%20a%20Scatter%20Plot.ipynb>`__).
+-  `docs <./docs>`__
+-  `gallery <./docs/Gallery.ipynb>`__
+-  `various examples <./examples.md>`__
+What happened to the old version that didn't work?
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+It's gone--the windows, the doors,
+`everything <https://www.youtube.com/watch?v=YuxCKv_0GZc>`__. Just
+kidding, `you can find it
+here <https://github.com/yhat/ggplot/tree/v0.6.6>`__, though I'm not
+sure why you'd want to look at it. The data grouping and manipulation
+bits were re-written (so they actually worked) with things like facets
+in mind.
+Contributing
+~~~~~~~~~~~~
+Thanks to all of the ggplot
+`contributors <./contributors.md#contributors>`__! See
+*`contributing.md <./contributing.md>`__*.
+
+%package -n python3-ggplot
+Summary:	ggplot for python
+Provides:	python-ggplot
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-ggplot
+What is it?
+~~~~~~~~~~~
+``ggplot`` is a Python implementation of the grammar of graphics. It is
+not intended to be a feature-for-feature port of
+```ggplot2 for R`` <https://github.com/hadley/ggplot2>`__--though there
+is much greatness in ``ggplot2``, the Python world could stand to
+benefit from it. So there **will be feature overlap**, but not
+neccessarily mimicry (after all, R is a little weird).
+You can do cool things like this:
+    ggplot(diamonds, aes(x='price', color='clarity')) + \
+        geom_density() + \
+        scale_color_brewer(type='div', palette=7) + \
+        facet_wrap('cut')
+Installation
+~~~~~~~~~~~~
+    $ pip install -U ggplot
+    # or 
+    $ conda install -c conda-forge ggplot
+    # or
+    pip install git+https://github.com/yhat/ggplot.git
+Examples
+~~~~~~~~
+Examples are the best way to learn. There is a Jupyter Notebook full of
+them. There are also notebooks that show how to do particular things
+with ggplot (i.e. `make a scatter
+plot <./docs/how-to/Making%20a%20Scatter%20Plot.ipynb>`__ or `make a
+histogram <./docs/how-to/Making%20a%20Scatter%20Plot.ipynb>`__).
+-  `docs <./docs>`__
+-  `gallery <./docs/Gallery.ipynb>`__
+-  `various examples <./examples.md>`__
+What happened to the old version that didn't work?
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+It's gone--the windows, the doors,
+`everything <https://www.youtube.com/watch?v=YuxCKv_0GZc>`__. Just
+kidding, `you can find it
+here <https://github.com/yhat/ggplot/tree/v0.6.6>`__, though I'm not
+sure why you'd want to look at it. The data grouping and manipulation
+bits were re-written (so they actually worked) with things like facets
+in mind.
+Contributing
+~~~~~~~~~~~~
+Thanks to all of the ggplot
+`contributors <./contributors.md#contributors>`__! See
+*`contributing.md <./contributing.md>`__*.
+
+%package help
+Summary:	Development documents and examples for ggplot
+Provides:	python3-ggplot-doc
+%description help
+What is it?
+~~~~~~~~~~~
+``ggplot`` is a Python implementation of the grammar of graphics. It is
+not intended to be a feature-for-feature port of
+```ggplot2 for R`` <https://github.com/hadley/ggplot2>`__--though there
+is much greatness in ``ggplot2``, the Python world could stand to
+benefit from it. So there **will be feature overlap**, but not
+neccessarily mimicry (after all, R is a little weird).
+You can do cool things like this:
+    ggplot(diamonds, aes(x='price', color='clarity')) + \
+        geom_density() + \
+        scale_color_brewer(type='div', palette=7) + \
+        facet_wrap('cut')
+Installation
+~~~~~~~~~~~~
+    $ pip install -U ggplot
+    # or 
+    $ conda install -c conda-forge ggplot
+    # or
+    pip install git+https://github.com/yhat/ggplot.git
+Examples
+~~~~~~~~
+Examples are the best way to learn. There is a Jupyter Notebook full of
+them. There are also notebooks that show how to do particular things
+with ggplot (i.e. `make a scatter
+plot <./docs/how-to/Making%20a%20Scatter%20Plot.ipynb>`__ or `make a
+histogram <./docs/how-to/Making%20a%20Scatter%20Plot.ipynb>`__).
+-  `docs <./docs>`__
+-  `gallery <./docs/Gallery.ipynb>`__
+-  `various examples <./examples.md>`__
+What happened to the old version that didn't work?
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+It's gone--the windows, the doors,
+`everything <https://www.youtube.com/watch?v=YuxCKv_0GZc>`__. Just
+kidding, `you can find it
+here <https://github.com/yhat/ggplot/tree/v0.6.6>`__, though I'm not
+sure why you'd want to look at it. The data grouping and manipulation
+bits were re-written (so they actually worked) with things like facets
+in mind.
+Contributing
+~~~~~~~~~~~~
+Thanks to all of the ggplot
+`contributors <./contributors.md#contributors>`__! See
+*`contributing.md <./contributing.md>`__*.
+
+%prep
+%autosetup -n ggplot-0.11.5
+
+%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-ggplot -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.11.5-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..fa0bae0
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+91a4925ec05f8452a79c1792b16038dc  ggplot-0.11.5.tar.gz