ST_PointZM

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.

FunctionSyntax
Pythonpoint_zm(x,y,z,m,sr=None)
SQLST_PointZM(x,y,z,m,sr)
ScalapointZM(x,y,z,m,sr)

For more details, go to the GeoAnalytics for Microsoft Fabric API reference for point_zm.

Examples

PythonPythonSQLScala
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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)
Result
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+---------------------------------+
|point_zm                         |
+---------------------------------+
|{"x":-178,"y":-17,"z":10,"m":100}|
+---------------------------------+

Version table

ReleaseNotes

1.0.0-beta

Python, SQL, and Scala functions introduced

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