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|
%global _empty_manifest_terminate_build 0
Name: python-pyrasterframes
Version: 0.11.1
Release: 1
Summary: Access and process geospatial raster data in PySpark DataFrames
License: Apache-2.0
URL: https://rasterframes.io
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/63/d3/30fd9f89ed3bb0e9e149da6a681b03d2ff98bc1b4ba786664d80117b7105/pyrasterframes-0.11.1.tar.gz
BuildArch: noarch
Requires: python3-shapely
Requires: python3-pyproj
Requires: python3-deprecation
Requires: python3-matplotlib
Requires: python3-pandas
Requires: python3-py4j
Requires: python3-pyspark
Requires: python3-numpy
%description
# PyRasterFrames
PyRasterFrames enables access and processing of geospatial raster data in PySpark DataFrames.
## Getting started
The quickest way to get started is to [`pip`](https://pip.pypa.io/en/stable/installing/) install the pyrasterframes package.
```bash
pip install pyrasterframes
```
You can then access a [`pyspark SparkSession`](https://spark.apache.org/docs/latest/api/python/pyspark.sql.html#pyspark.sql.SparkSession) using the [`local[*]` master](https://spark.apache.org/docs/latest/submitting-applications.html#master-urls) in your python interpreter as follows.
```python
from pyrasterframes.utils import create_rf_spark_session
spark = create_rf_spark_session()
```
Then you can read a raster and do some work with it.
```python
from pyrasterframes.rasterfunctions import *
from pyspark.sql.functions import lit
# Read a MODIS surface reflectance granule
df = spark.read.raster('https://modis-pds.s3.amazonaws.com/MCD43A4.006/11/08/2019059/MCD43A4.A2019059.h11v08.006.2019072203257_B02.TIF')
# Add 3 element-wise, show some rows of the dataframe
df.select(rf_local_add(df.tile, lit(3))).show(5, False)
```
## Support
Reach out to us on [gitter][gitter]!
Issue tracking is through [github](https://github.com/locationtech/rasterframes/issues).
## Contributing
Community contributions are always welcome. To get started, please review our [contribution guidelines](https://github.com/locationtech/rasterframes/blob/develop/CONTRIBUTING.md), [code of conduct](https://github.com/locationtech/rasterframes/blob/develop/CODE_OF_CONDUCT.md), and [developer's guide](../../../README.md). Reach out to us on [gitter][gitter] so the community can help you get started!
## Development environment setup
For best results, we suggest using `conda` and the `conda-forge` channel to install the compiled dependencies before installing the packages in `setup.py`. Assuming you're in the same directory as this file:
conda create -n rasterframes python==3.7
conda install --file ./requirements-condaforge.txt
Then you can install the source dependencies:
pip install -e .
[gitter]: https://gitter.im/locationtech/rasterframes
%package -n python3-pyrasterframes
Summary: Access and process geospatial raster data in PySpark DataFrames
Provides: python-pyrasterframes
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-pyrasterframes
# PyRasterFrames
PyRasterFrames enables access and processing of geospatial raster data in PySpark DataFrames.
## Getting started
The quickest way to get started is to [`pip`](https://pip.pypa.io/en/stable/installing/) install the pyrasterframes package.
```bash
pip install pyrasterframes
```
You can then access a [`pyspark SparkSession`](https://spark.apache.org/docs/latest/api/python/pyspark.sql.html#pyspark.sql.SparkSession) using the [`local[*]` master](https://spark.apache.org/docs/latest/submitting-applications.html#master-urls) in your python interpreter as follows.
```python
from pyrasterframes.utils import create_rf_spark_session
spark = create_rf_spark_session()
```
Then you can read a raster and do some work with it.
```python
from pyrasterframes.rasterfunctions import *
from pyspark.sql.functions import lit
# Read a MODIS surface reflectance granule
df = spark.read.raster('https://modis-pds.s3.amazonaws.com/MCD43A4.006/11/08/2019059/MCD43A4.A2019059.h11v08.006.2019072203257_B02.TIF')
# Add 3 element-wise, show some rows of the dataframe
df.select(rf_local_add(df.tile, lit(3))).show(5, False)
```
## Support
Reach out to us on [gitter][gitter]!
Issue tracking is through [github](https://github.com/locationtech/rasterframes/issues).
## Contributing
Community contributions are always welcome. To get started, please review our [contribution guidelines](https://github.com/locationtech/rasterframes/blob/develop/CONTRIBUTING.md), [code of conduct](https://github.com/locationtech/rasterframes/blob/develop/CODE_OF_CONDUCT.md), and [developer's guide](../../../README.md). Reach out to us on [gitter][gitter] so the community can help you get started!
## Development environment setup
For best results, we suggest using `conda` and the `conda-forge` channel to install the compiled dependencies before installing the packages in `setup.py`. Assuming you're in the same directory as this file:
conda create -n rasterframes python==3.7
conda install --file ./requirements-condaforge.txt
Then you can install the source dependencies:
pip install -e .
[gitter]: https://gitter.im/locationtech/rasterframes
%package help
Summary: Development documents and examples for pyrasterframes
Provides: python3-pyrasterframes-doc
%description help
# PyRasterFrames
PyRasterFrames enables access and processing of geospatial raster data in PySpark DataFrames.
## Getting started
The quickest way to get started is to [`pip`](https://pip.pypa.io/en/stable/installing/) install the pyrasterframes package.
```bash
pip install pyrasterframes
```
You can then access a [`pyspark SparkSession`](https://spark.apache.org/docs/latest/api/python/pyspark.sql.html#pyspark.sql.SparkSession) using the [`local[*]` master](https://spark.apache.org/docs/latest/submitting-applications.html#master-urls) in your python interpreter as follows.
```python
from pyrasterframes.utils import create_rf_spark_session
spark = create_rf_spark_session()
```
Then you can read a raster and do some work with it.
```python
from pyrasterframes.rasterfunctions import *
from pyspark.sql.functions import lit
# Read a MODIS surface reflectance granule
df = spark.read.raster('https://modis-pds.s3.amazonaws.com/MCD43A4.006/11/08/2019059/MCD43A4.A2019059.h11v08.006.2019072203257_B02.TIF')
# Add 3 element-wise, show some rows of the dataframe
df.select(rf_local_add(df.tile, lit(3))).show(5, False)
```
## Support
Reach out to us on [gitter][gitter]!
Issue tracking is through [github](https://github.com/locationtech/rasterframes/issues).
## Contributing
Community contributions are always welcome. To get started, please review our [contribution guidelines](https://github.com/locationtech/rasterframes/blob/develop/CONTRIBUTING.md), [code of conduct](https://github.com/locationtech/rasterframes/blob/develop/CODE_OF_CONDUCT.md), and [developer's guide](../../../README.md). Reach out to us on [gitter][gitter] so the community can help you get started!
## Development environment setup
For best results, we suggest using `conda` and the `conda-forge` channel to install the compiled dependencies before installing the packages in `setup.py`. Assuming you're in the same directory as this file:
conda create -n rasterframes python==3.7
conda install --file ./requirements-condaforge.txt
Then you can install the source dependencies:
pip install -e .
[gitter]: https://gitter.im/locationtech/rasterframes
%prep
%autosetup -n pyrasterframes-0.11.1
%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-pyrasterframes -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.11.1-1
- Package Spec generated
|
