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