ST_PointZM takes four numeric columns or double values and returns a point column.
The four numeric columns or values must contain the x,y,z coordinates and m-values of the point geometries.
You can optionally specify a spatial reference for the result point column.
The sr
parameter value must be a valid SRID or WKT string.
To create point geometries without m-values or z-coordinates use ST_Point. To create point geometries with only m-values or only z-coordinates use ST_PointM, ST_PointZ, or ST_MakePoint.
Function | Syntax |
---|---|
Python | point |
SQL | ST |
Scala | point |
For more details, go to the GeoAnalytics for Microsoft Fabric API reference for point_zm.
Examples
from geoanalytics_fabric.sql import functions as ST
df = spark.createDataFrame([(-178.0, -17.0, 10, 100)], ["longitude", "latitude", "z", "m"])
df.select(ST.point_zm("longitude", "latitude", "z", "m", sr=4326).alias("point_zm")).show(truncate=False)
+---------------------------------+
|point_zm |
+---------------------------------+
|{"x":-178,"y":-17,"z":10,"m":100}|
+---------------------------------+
Version table
Release | Notes |
---|---|
1.0.0-beta | Python, SQL, and Scala functions introduced |