st_point

Preview

This feature is in Public Preview.

Returns a 2D point Geometry with the given x and y coordinates and SRID value. If no SRID value is provided, or if the provided SRID value is negative, the SRID value of the point geometry will be set to 0.

For the corresponding Databricks SQL function, see st_point function.

Syntax

Python

from pyspark.databricks.sql import functions as dbf

dbf.st_point(col1=<col1>, col2=<col2>, col3=<col3>)

Parameters

Parameter	Type	Description
col1	pyspark.sql.Column or float	The X coordinate of the point geometry.
col2	pyspark.sql.Column or float	The Y coordinate of the point geometry.
col3	pyspark.sql.Column or int, optional	The SRID value of the point geometry.

Examples

Python

from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([(1.0, 2.0, 4326,)], ['x', 'y', 'srid'])
df.select(dbf.st_asewkt(dbf.st_point('x', 'y', 'srid')).alias('result')).collect()

Output

[Row(result='SRID=4326;POINT(1 2)')]

Python

from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([(1.0, 2.0,)], ['x', 'y'])
df.select(dbf.st_asewkt(dbf.st_point('x', 'y', 0)).alias('result')).collect()

Output

[Row(result='POINT(1 2)')]

Python

from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([(1.0, 2.0, 0,)], ['x', 'y', 'srid'])
df.select(dbf.st_asewkt(dbf.st_point('x', 'y', 'srid')).alias('result')).collect()

Output

[Row(result='POINT(1 2)')]

Python

from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([(1.0, 2.0,)], ['x', 'y'])
df.select(dbf.st_asewkt(dbf.st_point('x', 'y')).alias('result')).collect()

Output

[Row(result='POINT(1 2)')]