# 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 import pyrasterframes spark = pyrasterframes.get_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!
Release files for pyrasterframes 0.8.0
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| pyrasterframes-0.8.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details for pyrasterframes-0.8.0-py2.py3-none-any.whl |
Release files / pyrasterframes-0.8.0-py2.py3-none-any.whl
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| Size | 62.8 MB |
| Tags | Python 2 Python 3 |
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