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h3_pyspark_latlng_to_hexagonal_cell_id_conversion.py

python

This quickstart demonstrates how to initialize h3-pyspark and use its UDFs to

15d ago21 linesuber/h3-pyspark
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h3_pyspark_latlng_to_hexagonal_cell_id_conversion.py
1import h3_pyspark
2from pyspark.sql import SparkSession
3from pyspark.sql import functions as F
4
5# Initialize Spark Session
6spark = SparkSession.builder \
7    .appName("h3-pyspark-quickstart") \
8    .getOrCreate()
9
10# Create a sample DataFrame with coordinates
11df = spark.createDataFrame([
12    (37.7749, -122.4194),
13    (40.7128, -74.0060),
14], ["lat", "lng"])
15
16# Apply H3 geo_to_h3 function to create a column with H3 indexes at resolution 9
17resolution = 9
18df = df.withColumn("h3_index", h3_pyspark.geo_to_h3(F.col("lat"), F.col("lng"), F.lit(resolution)))
19
20# Show the results
21df.show()