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Important
This feature is in Public Preview.
Returns True if the two geometries are disjoint.
For the corresponding Databricks SQL function, see st_disjoint function.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.st_disjoint(col1=<col1>, col2=<col2>)
Parameters
| Parameter | Type | Description |
|---|---|---|
col1 |
pyspark.sql.Column or str |
The first Geometry value. |
col2 |
pyspark.sql.Column or str |
The second Geometry value. |
Notes
The two geometries are expected to have the same SRID value, otherwise an error is returned.
Examples
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('POINT(1 1)','POLYGON((0 0,10 0,0 10,0 0))',)], ['wkt1', 'wkt2'])
df.select(dbf.st_disjoint(dbf.st_geomfromtext('wkt1'), dbf.st_geomfromtext('wkt2')).alias('result')).collect()
[Row(result=False)]
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('POINT(5 6)','POLYGON((0 0,10 0,0 10,0 0))',)], ['wkt1', 'wkt2'])
df.select(dbf.st_disjoint(dbf.st_geomfromtext('wkt1'), dbf.st_geomfromtext('wkt2')).alias('result')).collect()
[Row(result=True)]