Note
Access to this page requires authorization. You can try signing in or changing directories.
Access to this page requires authorization. You can try changing directories.
Important
This feature is in Public Preview.
Simplifies the input geometry using the Douglas-Peucker algorithm.
For the corresponding Databricks SQL function, see st_simplify function.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.st_simplify(col1=<col1>, col2=<col2>)
Parameters
| Parameter | Type | Description |
|---|---|---|
col1 |
pyspark.sql.Column or str |
A Geometry value. |
col2 |
pyspark.sql.Column or float |
A DOUBLE value that is the distance value used for the simplification. The distance units are those of the CRS of the input geometry. |
Examples
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('LINESTRING(0 0,5.1 0,10 0,10 3,10 8,16 9)',)], ['wkt'])
df.select(dbf.st_asewkt(dbf.st_simplify(dbf.st_geomfromtext('wkt', 4326), 0.2)).alias('result')).collect()
[Row(result='SRID=4326;LINESTRING(0 0,10 0,10 8,16 9)')]