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Important
This feature is in Public Preview. You can confirm preview enrollment on the Previews page. See Manage Azure Databricks previews.
Translates the input geometry in the X, Y, and Z (optional) directions using the provided offsets.
For the corresponding Databricks SQL function, see st_translate function.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.st_translate(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 offset in the X direction. |
col3 |
pyspark.sql.Column or float |
A DOUBLE value representing the offset in the Y direction. |
col4 |
pyspark.sql.Column or float, optional |
A DOUBLE value representing the offset in the Z direction (optional). Default is 0. |
Examples
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_translate(dbf.st_geomfromtext('wkt', 4326), 10.0, 20.0)).alias('result')).collect()
[Row(result='SRID=4326;MULTIPOINT ZM ((11 22 3 -4),(15 26 7 -8),EMPTY)')]
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_translate(dbf.st_geomfromtext('wkt', 4326), 10.0, 20.0, 30.0)).alias('result')).collect()
[Row(result='SRID=4326;MULTIPOINT ZM ((11 22 33 -4),(15 26 37 -8),EMPTY)')]