ST_MPointFromGeoJSON

ST_MPointFromGeoJSON takes a string column and returns a multipoint column. The input string column must contain the GeoJSON representation of multipoint geometries. You can optionally specify a spatial reference for the result multipoint column. The sr parameter value must be a valid SRID or WKT string. If a multipoint cannot be created from the input string the function will return null.

FunctionSyntax
Pythonmpoint_from_geojson(json_str,sr=None)
SQLST_MPointFromGeoJson(json_str,sr)
ScalamPointFromGeoJson(json,sr)

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

Examples

PythonPythonSQLScala
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from geoanalytics_fabric.sql import functions as ST

mpoint_geojson = '{"type":"MultiPoint","coordinates":[[-3159938.72,8190159.75],[-3046133.91,8190159.75],[-3188072.29,8103229.92]],"crs":null}'

df = spark.createDataFrame([(mpoint_geojson, )], ["geojson"])

df.select(ST.mpoint_from_geojson("geojson", sr=54008).alias("mpoint_from_geojson")).show(truncate=False)
Result
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+---------------------------------------------------------------------------------------+
|mpoint_from_geojson                                                                    |
+---------------------------------------------------------------------------------------+
|{"points":[[-3159938.72,8190159.75],[-3046133.91,8190159.75],[-3188072.29,8103229.92]]}|
+---------------------------------------------------------------------------------------+

Version table

ReleaseNotes

1.0.0-beta

Python, SQL, and Scala functions introduced

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