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|
%global _empty_manifest_terminate_build 0
Name: python-cfgrib
Version: 0.9.10.3
Release: 1
Summary: Python interface to map GRIB files to the NetCDF Common Data Model following the CF Convention using ecCodes.
License: Apache License Version 2.0
URL: https://github.com/ecmwf/cfgrib
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/cf/98/e08b227307aab082b4c8185afa233517bd0857273120960c3bc5c2083be8/cfgrib-0.9.10.3.tar.gz
BuildArch: noarch
%description
Python interface to map GRIB files to the
`Unidata's Common Data Model v4 <https://docs.unidata.ucar.edu/netcdf-java/current/userguide/common_data_model_overview.html>`_
following the `CF Conventions <http://cfconventions.org/>`_.
The high level API is designed to support a GRIB engine for `xarray <http://xarray.pydata.org/>`_
and it is inspired by `netCDF4-python <http://unidata.github.io/netcdf4-python/>`_
and `h5netcdf <https://github.com/shoyer/h5netcdf>`_.
Low level access and decoding is performed via the
`ECMWF ecCodes library <https://confluence.ecmwf.int/display/ECC/>`_ and
the `eccodes python package <https://pypi.org/project/eccodes>`_.
Features with development status **Beta**:
- enables the ``engine='cfgrib'`` option to read GRIB files with *xarray*,
- reads most GRIB 1 and 2 files including heterogeneous ones with ``cfgrib.open_datasets``,
- supports all modern versions of Python 3.9, 3.8, 3.7 and PyPy3,
- the 0.9.6.x series with support for Python 2 will stay active and receive critical bugfixes,
- works wherever *eccodes-python* does: *Linux*, *MacOS* and *Windows*
- conda-forge package on all supported platforms,
- reads the data lazily and efficiently in terms of both memory usage and disk access,
- allows larger-than-memory and distributed processing via *xarray* and *dask*,
- supports translating coordinates to different data models and naming conventions,
- supports writing the index of a GRIB file to disk, to save a full-file scan on open,
- accepts objects implementing a generic *Fieldset* interface as described in `ADVANCED_USAGE.rst`.
Work in progress:
- **Beta** install a ``cfgrib`` utility that can convert a GRIB file ``to_netcdf``
with a optional conversion to a specific coordinates data model,
see `#40 <https://github.com/ecmwf/cfgrib/issues/40>`_.
- **Alpha/Broken** support writing carefully-crafted ``xarray.Dataset``'s to a GRIB1 or GRIB2 file,
see the *Advanced write usage* section below, `#18 <https://github.com/ecmwf/cfgrib/issues/18>`_
and `#156 <https://github.com/ecmwf/cfgrib/issues/156>`_.
Limitations:
- relies on *ecCodes* for the CF attributes of the data variables,
- relies on *ecCodes* for anything related to coordinate systems / ``gridType``,
see `#28 <https://github.com/ecmwf/cfgrib/issues/28>`_.
%package -n python3-cfgrib
Summary: Python interface to map GRIB files to the NetCDF Common Data Model following the CF Convention using ecCodes.
Provides: python-cfgrib
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-cfgrib
Python interface to map GRIB files to the
`Unidata's Common Data Model v4 <https://docs.unidata.ucar.edu/netcdf-java/current/userguide/common_data_model_overview.html>`_
following the `CF Conventions <http://cfconventions.org/>`_.
The high level API is designed to support a GRIB engine for `xarray <http://xarray.pydata.org/>`_
and it is inspired by `netCDF4-python <http://unidata.github.io/netcdf4-python/>`_
and `h5netcdf <https://github.com/shoyer/h5netcdf>`_.
Low level access and decoding is performed via the
`ECMWF ecCodes library <https://confluence.ecmwf.int/display/ECC/>`_ and
the `eccodes python package <https://pypi.org/project/eccodes>`_.
Features with development status **Beta**:
- enables the ``engine='cfgrib'`` option to read GRIB files with *xarray*,
- reads most GRIB 1 and 2 files including heterogeneous ones with ``cfgrib.open_datasets``,
- supports all modern versions of Python 3.9, 3.8, 3.7 and PyPy3,
- the 0.9.6.x series with support for Python 2 will stay active and receive critical bugfixes,
- works wherever *eccodes-python* does: *Linux*, *MacOS* and *Windows*
- conda-forge package on all supported platforms,
- reads the data lazily and efficiently in terms of both memory usage and disk access,
- allows larger-than-memory and distributed processing via *xarray* and *dask*,
- supports translating coordinates to different data models and naming conventions,
- supports writing the index of a GRIB file to disk, to save a full-file scan on open,
- accepts objects implementing a generic *Fieldset* interface as described in `ADVANCED_USAGE.rst`.
Work in progress:
- **Beta** install a ``cfgrib`` utility that can convert a GRIB file ``to_netcdf``
with a optional conversion to a specific coordinates data model,
see `#40 <https://github.com/ecmwf/cfgrib/issues/40>`_.
- **Alpha/Broken** support writing carefully-crafted ``xarray.Dataset``'s to a GRIB1 or GRIB2 file,
see the *Advanced write usage* section below, `#18 <https://github.com/ecmwf/cfgrib/issues/18>`_
and `#156 <https://github.com/ecmwf/cfgrib/issues/156>`_.
Limitations:
- relies on *ecCodes* for the CF attributes of the data variables,
- relies on *ecCodes* for anything related to coordinate systems / ``gridType``,
see `#28 <https://github.com/ecmwf/cfgrib/issues/28>`_.
%package help
Summary: Development documents and examples for cfgrib
Provides: python3-cfgrib-doc
%description help
Python interface to map GRIB files to the
`Unidata's Common Data Model v4 <https://docs.unidata.ucar.edu/netcdf-java/current/userguide/common_data_model_overview.html>`_
following the `CF Conventions <http://cfconventions.org/>`_.
The high level API is designed to support a GRIB engine for `xarray <http://xarray.pydata.org/>`_
and it is inspired by `netCDF4-python <http://unidata.github.io/netcdf4-python/>`_
and `h5netcdf <https://github.com/shoyer/h5netcdf>`_.
Low level access and decoding is performed via the
`ECMWF ecCodes library <https://confluence.ecmwf.int/display/ECC/>`_ and
the `eccodes python package <https://pypi.org/project/eccodes>`_.
Features with development status **Beta**:
- enables the ``engine='cfgrib'`` option to read GRIB files with *xarray*,
- reads most GRIB 1 and 2 files including heterogeneous ones with ``cfgrib.open_datasets``,
- supports all modern versions of Python 3.9, 3.8, 3.7 and PyPy3,
- the 0.9.6.x series with support for Python 2 will stay active and receive critical bugfixes,
- works wherever *eccodes-python* does: *Linux*, *MacOS* and *Windows*
- conda-forge package on all supported platforms,
- reads the data lazily and efficiently in terms of both memory usage and disk access,
- allows larger-than-memory and distributed processing via *xarray* and *dask*,
- supports translating coordinates to different data models and naming conventions,
- supports writing the index of a GRIB file to disk, to save a full-file scan on open,
- accepts objects implementing a generic *Fieldset* interface as described in `ADVANCED_USAGE.rst`.
Work in progress:
- **Beta** install a ``cfgrib`` utility that can convert a GRIB file ``to_netcdf``
with a optional conversion to a specific coordinates data model,
see `#40 <https://github.com/ecmwf/cfgrib/issues/40>`_.
- **Alpha/Broken** support writing carefully-crafted ``xarray.Dataset``'s to a GRIB1 or GRIB2 file,
see the *Advanced write usage* section below, `#18 <https://github.com/ecmwf/cfgrib/issues/18>`_
and `#156 <https://github.com/ecmwf/cfgrib/issues/156>`_.
Limitations:
- relies on *ecCodes* for the CF attributes of the data variables,
- relies on *ecCodes* for anything related to coordinate systems / ``gridType``,
see `#28 <https://github.com/ecmwf/cfgrib/issues/28>`_.
%prep
%autosetup -n cfgrib-0.9.10.3
%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-cfgrib -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.9.10.3-1
- Package Spec generated
|
