%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 - 0.11.1-1 - Package Spec generated