ST_PointZ takes three numeric columns or double values and returns a point column.
The three numeric columns or values must contain the x,y,z coordinates of the point geometries. You can optionally
specify a spatial reference ID 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 m-values use ST_PointM, ST_PointZM, 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_z.
Examples
from geoanalytics_fabric.sql import functions as ST
df = spark.createDataFrame([(-178.0, -17.0, 10)], ["longitude", "latitude", "z"])
df.select(ST.point_z("longitude","latitude","z", sr=4326).alias("point_z")).show(truncate=False)+-------------------------+
|point_z |
+-------------------------+
|{"x":-178,"y":-17,"z":10}|
+-------------------------+Version table
| Release | Notes |
|---|---|
1.0.0-beta | Python, SQL, and Scala functions introduced |