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Uncompacts the input set of H3 cell IDs to the specified resolution. Supports Spark Connect.
For the corresponding Databricks SQL function, see h3_uncompact function.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.h3_uncompact(col1=<col1>, col2=<col2>)
Parameters
| Parameter | Type | Description |
|---|---|---|
col1 |
pyspark.sql.Column or str |
An array of H3 cell IDs (represented as a integers or strings) to uncompact. |
col2 |
pyspark.sql.Column, str, or int |
The resolution of the uncompated H3 cell IDs. |
Examples
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([([599686030622195711, 599686015589810175, 599686014516068351,599686034917163007, 599686029548453887, 599686032769679359, 599686198125920255,599686023106002943, 599686027400970239, 599686013442326527, 599686012368584703,599686018811035647, 595182446027210751], 5,)], ['h3l_array', 'res'])
df.select(dbf.h3_uncompact('h3l_array', 'res').alias('result')).collect()
[Row(result=[599686030622195711, 599686015589810175, 599686014516068351, 599686034917163007, 599686029548453887, 599686032769679359, 599686198125920255, 599686023106002943, 599686027400970239, 599686013442326527, 599686012368584703, 599686018811035647, 599686038138388479, 599686039212130303, 599686040285872127, 599686041359613951, 599686042433355775, 599686043507097599, 599686044580839423])]
df.select(dbf.h3_uncompact('h3l_array', 5).alias('result')).collect()
[Row(result=[599686030622195711, 599686015589810175, 599686014516068351, 599686034917163007, 599686029548453887, 599686032769679359, 599686198125920255, 599686023106002943, 599686027400970239, 599686013442326527, 599686012368584703, 599686018811035647, 599686038138388479, 599686039212130303, 599686040285872127, 599686041359613951, 599686042433355775, 599686043507097599, 599686044580839423])]