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author | CoprDistGit <infra@openeuler.org> | 2023-05-05 05:30:43 +0000 |
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committer | CoprDistGit <infra@openeuler.org> | 2023-05-05 05:30:43 +0000 |
commit | 7d95f0807ecf87446f147324ff5e7ecb6c273795 (patch) | |
tree | a3d59162abf926d689cd78628ac10bdbd1e708d5 | |
parent | 02425619e2b485882d24656a2a676e261e403c6c (diff) |
automatic import of python-mpl-scatter-densityopeneuler20.03
-rw-r--r-- | .gitignore | 1 | ||||
-rw-r--r-- | python-mpl-scatter-density.spec | 123 | ||||
-rw-r--r-- | sources | 1 |
3 files changed, 125 insertions, 0 deletions
@@ -0,0 +1 @@ +/mpl-scatter-density-0.7.tar.gz diff --git a/python-mpl-scatter-density.spec b/python-mpl-scatter-density.spec new file mode 100644 index 0000000..b663102 --- /dev/null +++ b/python-mpl-scatter-density.spec @@ -0,0 +1,123 @@ +%global _empty_manifest_terminate_build 0 +Name: python-mpl-scatter-density +Version: 0.7 +Release: 1 +Summary: Matplotlib helpers to make density scatter plots +License: BSD +URL: https://github.com/astrofrog/mpl-scatter-density +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/97/e0/98dd3223d6306a35d3fbd67ebf9473be6341d6e733a57768825205786021/mpl-scatter-density-0.7.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-matplotlib +Requires: python3-fast-histogram +Requires: python3-pytest +Requires: python3-pytest-cov +Requires: python3-pytest-mpl + +%description +Plotting millions of points can be slow. Real slow... :sleeping: +So why not use density maps? :zap: +The **mpl-scatter-density** mini-package provides functionality to make it easy +to make your own scatter density maps, both for interactive and non-interactive +use. Fast. The following animation shows real-time interactive use with 10 +million points, but interactive performance is still good even with 100 million +points (and more if you have enough RAM). +When panning, the density map is shown at a lower resolution to keep things +responsive (though this is customizable). +To install, simply do:: + pip install mpl-scatter-density +This package requires `Numpy <http://www.numpy.org>`_, `Matplotlib +<http://www.matplotlib.org>`_, and `fast-histogram +<https://github.com/astrofrog/fast-histogram>`_ - these will be installed +by pip if they are missing. Both Python 2.7 and Python 3.x are supported, +and the package should work correctly on Linux, MacOS X, and Windows. + +%package -n python3-mpl-scatter-density +Summary: Matplotlib helpers to make density scatter plots +Provides: python-mpl-scatter-density +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-mpl-scatter-density +Plotting millions of points can be slow. Real slow... :sleeping: +So why not use density maps? :zap: +The **mpl-scatter-density** mini-package provides functionality to make it easy +to make your own scatter density maps, both for interactive and non-interactive +use. Fast. The following animation shows real-time interactive use with 10 +million points, but interactive performance is still good even with 100 million +points (and more if you have enough RAM). +When panning, the density map is shown at a lower resolution to keep things +responsive (though this is customizable). +To install, simply do:: + pip install mpl-scatter-density +This package requires `Numpy <http://www.numpy.org>`_, `Matplotlib +<http://www.matplotlib.org>`_, and `fast-histogram +<https://github.com/astrofrog/fast-histogram>`_ - these will be installed +by pip if they are missing. Both Python 2.7 and Python 3.x are supported, +and the package should work correctly on Linux, MacOS X, and Windows. + +%package help +Summary: Development documents and examples for mpl-scatter-density +Provides: python3-mpl-scatter-density-doc +%description help +Plotting millions of points can be slow. Real slow... :sleeping: +So why not use density maps? :zap: +The **mpl-scatter-density** mini-package provides functionality to make it easy +to make your own scatter density maps, both for interactive and non-interactive +use. Fast. The following animation shows real-time interactive use with 10 +million points, but interactive performance is still good even with 100 million +points (and more if you have enough RAM). +When panning, the density map is shown at a lower resolution to keep things +responsive (though this is customizable). +To install, simply do:: + pip install mpl-scatter-density +This package requires `Numpy <http://www.numpy.org>`_, `Matplotlib +<http://www.matplotlib.org>`_, and `fast-histogram +<https://github.com/astrofrog/fast-histogram>`_ - these will be installed +by pip if they are missing. Both Python 2.7 and Python 3.x are supported, +and the package should work correctly on Linux, MacOS X, and Windows. + +%prep +%autosetup -n mpl-scatter-density-0.7 + +%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-mpl-scatter-density -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.7-1 +- Package Spec generated @@ -0,0 +1 @@ +c8b44fb4f5788dd6a717381d86c939ed mpl-scatter-density-0.7.tar.gz |