st_numinteriorrings
Preview
Support for GEOGRAPHY values is in Public Preview. Support for GEOMETRY values is generally available.
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)]