abs
Computes the absolute value of the given column or expression. Supports Spark Connect.
For the corresponding Databricks SQL function, see abs function.
Syntax
Python
from pyspark.databricks.sql import functions as dbf
dbf.abs(col=<col>)
Parameters
Parameter | Type | Description |
|---|---|---|
|
| The target column or expression to compute the absolute value on. |
Returns
pyspark.sql.Column: A new column object representing the absolute value of the input.
Examples
Python
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([(-1,), (-2,), (-3,), (None,)], ["value"])
df.select("*", dbf.abs(df.value)).show()
Output
+-----+----------+
|value|abs(value)|
+-----+----------+
| -1| 1|
| -2| 2|
| -3| 3|
| NULL| NULL|
+-----+----------+
Python
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([(-1.5,), (-2.5,), (None,), (float("nan"),)], ["value"])
df.select("*", dbf.abs(df.value)).show()
Output
+-----+----------+
|value|abs(value)|
+-----+----------+
| -1.5| 1.5|
| -2.5| 2.5|
| NULL| NULL|
| NaN| NaN|
+-----+----------+