h3-pyspark 1.0.0

PySpark bindings for H3, a hierarchical hexagonal geospatial indexing system

h3-pyspark: Uber's H3 Hexagonal Hierarchical Geospatial Indexing System in PySpark

PySpark bindings for the H3 core library.

For available functions, please see the vanilla Python binding documentation at:

• uber.github.io/h3-py

Installation

From PyPI:

pip install h3-pyspark

From conda

conda config --add channels conda-forge
conda install h3-pyspark

Usage

>>> from pyspark.sql import SparkSession, functions as F
>>> import h3_pyspark
>>>
>>> spark = SparkSession.builder.getOrCreate()
>>> df = spark.createDataFrame([{"lat": 37.769377, "lng": -122.388903, 'resolution': 9}])
>>>
>>> df = df.withColumn('h3_9', h3_pyspark.geo_to_h3('lat', 'lng', 'resolution'))
>>> df.show()

+---------+-----------+----------+---------------+
|      lat|        lng|resolution|           h3_9|
+---------+-----------+----------+---------------+
|37.769377|-122.388903|         9|89283082e73ffff|
+---------+-----------+----------+---------------+

Publishing

1. Bump version in setup.cfg
2. Publish:

python3 -m build
python3 -m twine upload --repository pypi dist/*