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%global _empty_manifest_terminate_build 0
Name: python-pyresample
Version: 1.26.1
Release: 1
Summary: Geospatial image resampling in Python
License: GNU Lesser General Public License v3 or later (LGPLv3+)
URL: https://github.com/pytroll/pyresample
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/74/2b/f070dbd2f00404de80e5e085a5c8eb6d441db0cf7a54d8b34b621dd70294/pyresample-1.26.1.tar.gz
Requires: python3-setuptools
Requires: python3-pyproj
Requires: python3-configobj
Requires: python3-pykdtree
Requires: python3-pyyaml
Requires: python3-numpy
Requires: python3-shapely
Requires: python3-xarray
Requires: python3-dask
Requires: python3-shapely
Requires: python3-numexpr
Requires: python3-matplotlib
Requires: python3-cartopy
Requires: python3-pillow
Requires: python3-rasterio
Requires: python3-rasterio
Requires: python3-dask
Requires: python3-xarray
Requires: python3-cartopy
Requires: python3-pillow
Requires: python3-matplotlib
Requires: python3-scipy
Requires: python3-zarr
Requires: python3-pytest-lazy-fixtures
Requires: python3-shapely
Requires: python3-xarray
Requires: python3-dask
Requires: python3-zarr
%description
Pyresample is a python package for resampling geospatial image data. It is the
primary method for resampling in the [Satpy](https://github.com/pytroll/satpy)
library, but can also be used as a standalone library. Resampling or
reprojection is the process of mapping input geolocated data points to a
new target geographic projection and area.
Pyresample can operate on both fixed grids of data and geolocated swath data.
To describe these data Pyresample uses various "geometry" objects including
the `AreaDefinition` and `SwathDefinition` classes.
Pyresample offers multiple resampling algorithms including:
- Nearest Neighbor
- Elliptical Weighted Average (EWA)
- Bilinear
For nearest neighbor and bilinear interpolation pyresample uses a kd-tree
approach by using the fast KDTree implementation provided by the
[pykdtree](https://github.com/storpipfugl/pykdtree) library.
Pyresample works with numpy arrays and numpy masked arrays. Interfaces to
XArray objects (including dask array support) are provided in separate
Resampler class interfaces and are in active development.
Utility functions are available to easily plot data using Cartopy.
Pyresample is tested with Python 2.7 and 3.6, but should additionally work
on Python 3.4+. Pyresample will drop Python 2.7 at the end of 2019.
[Documentation](https://pyresample.readthedocs.org/en/latest/)
See [pytroll.github.io](http://pytroll.github.io/) for more information on the
PyTroll group and related packages.
%package -n python3-pyresample
Summary: Geospatial image resampling in Python
Provides: python-pyresample
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-pyresample
Pyresample is a python package for resampling geospatial image data. It is the
primary method for resampling in the [Satpy](https://github.com/pytroll/satpy)
library, but can also be used as a standalone library. Resampling or
reprojection is the process of mapping input geolocated data points to a
new target geographic projection and area.
Pyresample can operate on both fixed grids of data and geolocated swath data.
To describe these data Pyresample uses various "geometry" objects including
the `AreaDefinition` and `SwathDefinition` classes.
Pyresample offers multiple resampling algorithms including:
- Nearest Neighbor
- Elliptical Weighted Average (EWA)
- Bilinear
For nearest neighbor and bilinear interpolation pyresample uses a kd-tree
approach by using the fast KDTree implementation provided by the
[pykdtree](https://github.com/storpipfugl/pykdtree) library.
Pyresample works with numpy arrays and numpy masked arrays. Interfaces to
XArray objects (including dask array support) are provided in separate
Resampler class interfaces and are in active development.
Utility functions are available to easily plot data using Cartopy.
Pyresample is tested with Python 2.7 and 3.6, but should additionally work
on Python 3.4+. Pyresample will drop Python 2.7 at the end of 2019.
[Documentation](https://pyresample.readthedocs.org/en/latest/)
See [pytroll.github.io](http://pytroll.github.io/) for more information on the
PyTroll group and related packages.
%package help
Summary: Development documents and examples for pyresample
Provides: python3-pyresample-doc
%description help
Pyresample is a python package for resampling geospatial image data. It is the
primary method for resampling in the [Satpy](https://github.com/pytroll/satpy)
library, but can also be used as a standalone library. Resampling or
reprojection is the process of mapping input geolocated data points to a
new target geographic projection and area.
Pyresample can operate on both fixed grids of data and geolocated swath data.
To describe these data Pyresample uses various "geometry" objects including
the `AreaDefinition` and `SwathDefinition` classes.
Pyresample offers multiple resampling algorithms including:
- Nearest Neighbor
- Elliptical Weighted Average (EWA)
- Bilinear
For nearest neighbor and bilinear interpolation pyresample uses a kd-tree
approach by using the fast KDTree implementation provided by the
[pykdtree](https://github.com/storpipfugl/pykdtree) library.
Pyresample works with numpy arrays and numpy masked arrays. Interfaces to
XArray objects (including dask array support) are provided in separate
Resampler class interfaces and are in active development.
Utility functions are available to easily plot data using Cartopy.
Pyresample is tested with Python 2.7 and 3.6, but should additionally work
on Python 3.4+. Pyresample will drop Python 2.7 at the end of 2019.
[Documentation](https://pyresample.readthedocs.org/en/latest/)
See [pytroll.github.io](http://pytroll.github.io/) for more information on the
PyTroll group and related packages.
%prep
%autosetup -n pyresample-1.26.1
%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-pyresample -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 1.26.1-1
- Package Spec generated
|
