st_scale

Preview

This feature is in Public Preview.

Scales the input geometry in the X, Y, and Z (optional) directions using the given factors.

For the corresponding Databricks SQL function, see st_scale function.

Syntax

Python

from pyspark.databricks.sql import functions as dbf

dbf.st_scale(col1=<col1>, col2=<col2>, col3=<col3>, col4=<col4>)

Parameters

Parameter	Type	Description
col1	pyspark.sql.Column or str	A Geometry value.
col2	pyspark.sql.Column or float	A DOUBLE value representing the X scaling factor.
col3	pyspark.sql.Column or float	A DOUBLE value representing the Y scaling factor.
col4	pyspark.sql.Column or float, optional	A DOUBLE value representing the Z scaling factor (optional). Default is 1.

Examples

Python

from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('MULTIPOINT ZM (1 2 3 -4,5 6 7 -8,EMPTY)',)], ['wkt'])
df.select(dbf.st_asewkt(dbf.st_scale(dbf.st_geomfromtext('wkt', 4326), 10.0, 20.0)).alias('result')).collect()

Output

[Row(result='SRID=4326;MULTIPOINT ZM ((10 40 3 -4),(50 120 7 -8),EMPTY)')]

Python

from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('MULTIPOINT ZM (1 2 3 -4,5 6 7 -8,EMPTY)',)], ['wkt'])
df.select(dbf.st_asewkt(dbf.st_scale(dbf.st_geomfromtext('wkt', 4326), 10.0, 20.0, 3.0)).alias('result')).collect()

Output

[Row(result='SRID=4326;MULTIPOINT ZM ((10 40 9 -4),(50 120 21 -8),EMPTY)')]