to_geometry

Parses the input BINARY or string value and returns the corresponding Geometry value. An error is thrown for invalid input.

For the corresponding Databricks SQL function, see to_geometry function.

Syntax

from pyspark.sql import functions as dbf

dbf.to_geometry(col=<col>)

Parameters

Parameter	Type	Description
col	pyspark.sql.Column or str	A string value in WKT or GeoJSON format, or a BINARY value in WKB or EWKB format representing a Geometry value.

Examples

from pyspark.sql import functions as dbf
df = spark.createDataFrame([('POINT Z (3 4 5)',)], ['wkt'])
df.select(dbf.st_asewkt(dbf.to_geometry('wkt')).alias('result')).collect()

[Row(result='POINT Z (3 4 5)')]

from pyspark.sql import functions as dbf
df = spark.createDataFrame([('{"type":"MultiPoint","coordinates":[[3,4,5]]}',)], ['geojson'])
df.select(dbf.st_asewkt(dbf.to_geometry('geojson')).alias('result')).collect()

[Row(result='SRID=4326;MULTIPOINT Z ((3 4 5))')]

from pyspark.sql import functions as dbf
df = spark.createDataFrame([(bytes.fromhex('01ef0300000100000001e9030000000000000000084000000000000010400000000000001440'),)], ['wkb'])
df.select(dbf.st_asewkt(dbf.to_geometry('wkb')).alias('result')).collect()

[Row(result='GEOMETRYCOLLECTION Z (POINT Z (3 4 5))')]

from pyspark.sql import functions as dbf
df = spark.createDataFrame([(bytes.fromhex('01020000a0110f000002000000000000000000084000000000000010400000000000001440000000000000084000000000000010400000000000001440'),)], ['ewkb'])
df.select(dbf.st_asewkt(dbf.to_geometry('ewkb')).alias('result')).collect()

[Row(result='SRID=3857;LINESTRING Z (3 4 5,3 4 5)')]