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Important
This feature is in Public Preview.
Parses the WKT description and returns the corresponding Geography value.
For the corresponding Databricks SQL function, see st_geogfromwkt function.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.st_geogfromwkt(col=<col>)
Parameters
| Parameter | Type | Description |
|---|---|---|
col |
pyspark.sql.Column or str |
A string in WKT format, representing a geography value. |
Examples
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('POLYGON((0 0,5 6,7 -8,0 0))',)], ['wkt'])
df.select(dbf.st_astext(dbf.st_geogfromwkt('wkt')).alias('result')).collect()
[Row(result='POLYGON((0 0,5 6,7 -8,0 0))')]