pmod

Returns the positive value of dividend mod divisor. Supports Spark Connect.

For the corresponding Databricks SQL function, see pmod function.

Syntax

Python

from pyspark.sql import functions as dbf

dbf.pmod(dividend=<dividend>, divisor=<divisor>)

Parameters

Parameter	Type	Description
dividend	pyspark.sql.Column, column name or float	the column that contains dividend, or the specified dividend value
divisor	pyspark.sql.Column, column name or float	the column that contains divisor, or the specified divisor value

Parameter	Type	Description
dividend	pyspark.sql.Column, column name or float	the column that contains dividend, or the specified dividend value
divisor	pyspark.sql.Column, column name or float	the column that contains divisor, or the specified divisor value

Returns

pyspark.sql.Column: positive value of dividend mod divisor.

Examples

Python

from pyspark.sql import functions as dbf
df = spark.createDataFrame([
    (1.0, float('nan')), (float('nan'), 2.0), (10.0, 3.0),
    (float('nan'), float('nan')), (-3.0, 4.0), (-10.0, 3.0),
    (-5.0, -6.0), (7.0, -8.0), (1.0, 2.0)],
    ("a", "b"))
df.select("*", dbf.pmod("a", "b")).show()

Output

+-----+----+----------+
|    a|   b|pmod(a, b)|
+-----+----+----------+
|  1.0| NaN|       NaN|
|  NaN| 2.0|       NaN|
| 10.0| 3.0|       1.0|
|  NaN| NaN|       NaN|
| -3.0| 4.0|       1.0|
|-10.0| 3.0|       2.0|
| -5.0|-6.0|      -5.0|
|  7.0|-8.0|       7.0|
|  1.0| 2.0|       1.0|
+-----+----+----------+