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|
%global _empty_manifest_terminate_build 0
Name: python-cmip6-preprocessing
Version: 0.6.0
Release: 1
Summary: Analysis ready CMIP6 data the easy way
License: MIT
URL: https://github.com/jbusecke/cmip6_preprocessing
Source0: https://mirrors.aliyun.com/pypi/web/packages/69/af/57fcdc5c98a988ab362c6d0e67c3040ca86a82db4ac35943e7d6b30b7cfc/cmip6_preprocessing-0.6.0.tar.gz
BuildArch: noarch
Requires: python3-numpy
Requires: python3-pandas
Requires: python3-xarray
Requires: python3-xgcm
Requires: python3-cftime
Requires: python3-xarrayutils
Requires: python3-pint
Requires: python3-cf-xarray
Requires: python3-pint-xarray
%description
[](https://cmip6-preprocessing.readthedocs.io/en/latest/?badge=latest)
[](https://anaconda.org/conda-forge/cmip6_preprocessing)
[](https://anaconda.org/conda-forge/cmip6_preprocessing)
[](https://pypi.org/project/cmip6_preprocessing)
[](https://github.com/jbusecke/cmip6_preprocessing/actions)
[](https://github.com/jbusecke/cmip6_preprocessing/actions/workflows/full_archive_ci.yaml)
[](https://codecov.io/gh/jbusecke/cmip6_preprocessing)
[](https://opensource.org/licenses/MIT)
[](https://zenodo.org/badge/latestdoi/215606850)
Science is not immune to racism. Academia is an elitist system with numerous gatekeepers that has mostly allowed a very limited spectrum of people to pursue a career. I believe we need to change that.
Open source development and reproducible science are a great way to democratize the means for scientific analysis. **But you can't git clone software if you are being murdered by the police for being Black!**
Free access to software and hollow diversity statements are hardly enough to crush the systemic and institutionalized racism in our society and academia.
If you are using this package, I ask you to go beyond just speaking out and donate [here](https://secure.actblue.com/donate/cmip6_preprocessing) to [Data for Black Lives](http://d4bl.org/) and [Black Lives Matter Action](https://blacklivesmatter.com/global-actions/).
I explicitly welcome suggestions regarding the wording of this statement and for additional organizations to support. Please raise an [issue](https://github.com/jbusecke/cmip6_preprocessing/issues) for suggestions.
# cmip6_preprocessing
Are you interested in CMIP6 data, but find that is is not quite `analysis ready`? Do you just want to run a simple (or complicated) analysis on various models and end up having to write logic for each seperate case, because various datasets still require fixes to names, coordinates, etc.? Then this package is for you.
Developed during the [cmip6-hackathon](https://cmip6hack.github.io/#/) this package provides utility functions that play nicely with [intake-esm](https://github.com/NCAR/intake-esm).
We currently support the following functions
1. Preprocessing CMIP6 data (Please check out the [tutorial](docs/tutorial.ipynb) for some examples using the [pangeo cloud](ocean.pangeo.io)). The preprocessig includes:
a. Fix inconsistent naming of dimensions and coordinates
b. Fix inconsistent values,shape and dataset location of coordinates
c. Homogenize longitude conventions
d. Fix inconsistent units
2. [Creating large scale ocean basin masks for arbitrary model output](docs/regionmask.ipynb)
The following issues are under development:
1. Reconstruct/find grid metrics
2. Arrange different variables on their respective staggered grid, so they can work seamlessly with [xgcm](https://xgcm.readthedocs.io/en/latest/)
Check out this recent Earthcube [notebook](https://github.com/earthcube2020/ec20_busecke_etal) (cite via doi: [10.1002/essoar.10504241.1](https://www.essoar.org/doi/10.1002/essoar.10504241.1)) for a high level demo of `cmip6_preprocessing` and [xgcm](https://github.com/xgcm/xgcm).
## Installation
Install `cmip6_preprocessing` via pip:
`pip install cmip6_preprocessing`
or conda:
`conda install -c conda-forge cmip6_preprocessing`
To install the newest master from github you can use pip aswell:
`pip install git+pip install git+https://github.com/jbusecke/cmip6_preprocessing.git`
%package -n python3-cmip6-preprocessing
Summary: Analysis ready CMIP6 data the easy way
Provides: python-cmip6-preprocessing
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-cmip6-preprocessing
[](https://cmip6-preprocessing.readthedocs.io/en/latest/?badge=latest)
[](https://anaconda.org/conda-forge/cmip6_preprocessing)
[](https://anaconda.org/conda-forge/cmip6_preprocessing)
[](https://pypi.org/project/cmip6_preprocessing)
[](https://github.com/jbusecke/cmip6_preprocessing/actions)
[](https://github.com/jbusecke/cmip6_preprocessing/actions/workflows/full_archive_ci.yaml)
[](https://codecov.io/gh/jbusecke/cmip6_preprocessing)
[](https://opensource.org/licenses/MIT)
[](https://zenodo.org/badge/latestdoi/215606850)
Science is not immune to racism. Academia is an elitist system with numerous gatekeepers that has mostly allowed a very limited spectrum of people to pursue a career. I believe we need to change that.
Open source development and reproducible science are a great way to democratize the means for scientific analysis. **But you can't git clone software if you are being murdered by the police for being Black!**
Free access to software and hollow diversity statements are hardly enough to crush the systemic and institutionalized racism in our society and academia.
If you are using this package, I ask you to go beyond just speaking out and donate [here](https://secure.actblue.com/donate/cmip6_preprocessing) to [Data for Black Lives](http://d4bl.org/) and [Black Lives Matter Action](https://blacklivesmatter.com/global-actions/).
I explicitly welcome suggestions regarding the wording of this statement and for additional organizations to support. Please raise an [issue](https://github.com/jbusecke/cmip6_preprocessing/issues) for suggestions.
# cmip6_preprocessing
Are you interested in CMIP6 data, but find that is is not quite `analysis ready`? Do you just want to run a simple (or complicated) analysis on various models and end up having to write logic for each seperate case, because various datasets still require fixes to names, coordinates, etc.? Then this package is for you.
Developed during the [cmip6-hackathon](https://cmip6hack.github.io/#/) this package provides utility functions that play nicely with [intake-esm](https://github.com/NCAR/intake-esm).
We currently support the following functions
1. Preprocessing CMIP6 data (Please check out the [tutorial](docs/tutorial.ipynb) for some examples using the [pangeo cloud](ocean.pangeo.io)). The preprocessig includes:
a. Fix inconsistent naming of dimensions and coordinates
b. Fix inconsistent values,shape and dataset location of coordinates
c. Homogenize longitude conventions
d. Fix inconsistent units
2. [Creating large scale ocean basin masks for arbitrary model output](docs/regionmask.ipynb)
The following issues are under development:
1. Reconstruct/find grid metrics
2. Arrange different variables on their respective staggered grid, so they can work seamlessly with [xgcm](https://xgcm.readthedocs.io/en/latest/)
Check out this recent Earthcube [notebook](https://github.com/earthcube2020/ec20_busecke_etal) (cite via doi: [10.1002/essoar.10504241.1](https://www.essoar.org/doi/10.1002/essoar.10504241.1)) for a high level demo of `cmip6_preprocessing` and [xgcm](https://github.com/xgcm/xgcm).
## Installation
Install `cmip6_preprocessing` via pip:
`pip install cmip6_preprocessing`
or conda:
`conda install -c conda-forge cmip6_preprocessing`
To install the newest master from github you can use pip aswell:
`pip install git+pip install git+https://github.com/jbusecke/cmip6_preprocessing.git`
%package help
Summary: Development documents and examples for cmip6-preprocessing
Provides: python3-cmip6-preprocessing-doc
%description help
[](https://cmip6-preprocessing.readthedocs.io/en/latest/?badge=latest)
[](https://anaconda.org/conda-forge/cmip6_preprocessing)
[](https://anaconda.org/conda-forge/cmip6_preprocessing)
[](https://pypi.org/project/cmip6_preprocessing)
[](https://github.com/jbusecke/cmip6_preprocessing/actions)
[](https://github.com/jbusecke/cmip6_preprocessing/actions/workflows/full_archive_ci.yaml)
[](https://codecov.io/gh/jbusecke/cmip6_preprocessing)
[](https://opensource.org/licenses/MIT)
[](https://zenodo.org/badge/latestdoi/215606850)
Science is not immune to racism. Academia is an elitist system with numerous gatekeepers that has mostly allowed a very limited spectrum of people to pursue a career. I believe we need to change that.
Open source development and reproducible science are a great way to democratize the means for scientific analysis. **But you can't git clone software if you are being murdered by the police for being Black!**
Free access to software and hollow diversity statements are hardly enough to crush the systemic and institutionalized racism in our society and academia.
If you are using this package, I ask you to go beyond just speaking out and donate [here](https://secure.actblue.com/donate/cmip6_preprocessing) to [Data for Black Lives](http://d4bl.org/) and [Black Lives Matter Action](https://blacklivesmatter.com/global-actions/).
I explicitly welcome suggestions regarding the wording of this statement and for additional organizations to support. Please raise an [issue](https://github.com/jbusecke/cmip6_preprocessing/issues) for suggestions.
# cmip6_preprocessing
Are you interested in CMIP6 data, but find that is is not quite `analysis ready`? Do you just want to run a simple (or complicated) analysis on various models and end up having to write logic for each seperate case, because various datasets still require fixes to names, coordinates, etc.? Then this package is for you.
Developed during the [cmip6-hackathon](https://cmip6hack.github.io/#/) this package provides utility functions that play nicely with [intake-esm](https://github.com/NCAR/intake-esm).
We currently support the following functions
1. Preprocessing CMIP6 data (Please check out the [tutorial](docs/tutorial.ipynb) for some examples using the [pangeo cloud](ocean.pangeo.io)). The preprocessig includes:
a. Fix inconsistent naming of dimensions and coordinates
b. Fix inconsistent values,shape and dataset location of coordinates
c. Homogenize longitude conventions
d. Fix inconsistent units
2. [Creating large scale ocean basin masks for arbitrary model output](docs/regionmask.ipynb)
The following issues are under development:
1. Reconstruct/find grid metrics
2. Arrange different variables on their respective staggered grid, so they can work seamlessly with [xgcm](https://xgcm.readthedocs.io/en/latest/)
Check out this recent Earthcube [notebook](https://github.com/earthcube2020/ec20_busecke_etal) (cite via doi: [10.1002/essoar.10504241.1](https://www.essoar.org/doi/10.1002/essoar.10504241.1)) for a high level demo of `cmip6_preprocessing` and [xgcm](https://github.com/xgcm/xgcm).
## Installation
Install `cmip6_preprocessing` via pip:
`pip install cmip6_preprocessing`
or conda:
`conda install -c conda-forge cmip6_preprocessing`
To install the newest master from github you can use pip aswell:
`pip install git+pip install git+https://github.com/jbusecke/cmip6_preprocessing.git`
%prep
%autosetup -n cmip6_preprocessing-0.6.0
%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-cmip6-preprocessing -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.6.0-1
- Package Spec generated
|
