Note
Access to this page requires authorization. You can try signing in or changing directories.
Access to this page requires authorization. You can try changing directories.
Important
This feature is in Public Preview. You can confirm preview enrollment on the Previews page. See Manage Azure Databricks previews.
Returns the input Geography or Geometry value in GeoJSON format.
For the corresponding Databricks SQL function, see st_asgeojson function.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.st_asgeojson(col=<col>)
Parameters
| Parameter | Type | Description |
|---|---|---|
col |
pyspark.sql.Column or str |
A geospatial value, either a Geography or Geometry. |
Examples
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('POINT Z (2.718281 3.141592 100)',)], ['wkt'])
df.select(dbf.st_asgeojson(dbf.st_geogfromtext('wkt')).alias('result')).collect()
[Row(result='{"type":"Point","coordinates":[2.718281,3.141592,100]}')]