st_numinteriorrings
Preview
This feature is in Public Preview.
Returns the number of interior rings of the input polygon.
For the corresponding Databricks SQL function, see st_numinteriorrings function.
Syntax
Python
from pyspark.databricks.sql import functions as dbf
dbf.st_numinteriorrings(col=<col>)
Parameters
Parameter | Type | Description |
|---|---|---|
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Notes
The function returns None if the input is None.
The input value is expected to represent a polygon, otherwise an error is returned.
Examples
Python
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('POLYGON EMPTY',)], ['wkt'])
df.select(dbf.st_numinteriorrings(dbf.st_geomfromtext('wkt', 4326)).alias('result')).collect()
Output
[Row(result=0)]
Python
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('POLYGON Z ((0 0 6,1 0 6,1 1 8,0 1 6,0 0 6))',)], ['wkt'])
df.select(dbf.st_numinteriorrings(dbf.st_geogfromtext('wkt')).alias('result')).collect()
Output
[Row(result=0)]
Python
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('POLYGON ZM ((0 0 111 -11,10 0 222 -22,0 10 333 -33,0 0 444 -44),(1 1 555 -55,4 1 666 -66,1 4 777 -77,1 1 888 -88))',)], ['wkt'])
df.select(dbf.st_numinteriorrings(dbf.st_geomfromtext('wkt', 4326)).alias('result')).collect()
Output
[Row(result=1)]
Python
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('POLYGON M ((0 0 1,10 0 2,0 10 3,0 0 1),(1 1 2,2 1 3,1 2 4,1 1 2),(3 3 3,3 2 4,2 3 5,3 3 3))',)], ['wkt'])
df.select(dbf.st_numinteriorrings(dbf.st_geogfromtext('wkt')).alias('result')).collect()
Output
[Row(result=2)]