exp

Computes the exponential of the given value. Supports Spark Connect.

For the corresponding Databricks SQL function, see exp function.

Syntax

Python

from pyspark.databricks.sql import functions as dbf

dbf.exp(col=<col>)

Parameters

Parameter	Type	Description
col	pyspark.sql.Column or column name	column to calculate exponential for.

Returns

pyspark.sql.Column: exponential of the given value.

Examples

Python

from pyspark.databricks.sql import functions as dbf
df = spark.sql("SELECT id AS value FROM RANGE(5)")
df.select("*", dbf.exp(df.value)).show() # doctest: +SKIP

Output

+-----+------------------+
|value|        EXP(value)|
+-----+------------------+
|    0|               1.0|
|    1|2.7182818284590...|
|    2|  7.38905609893...|
|    3|20.085536923187...|
|    4|54.598150033144...|
+-----+------------------+

Python

from pyspark.databricks.sql import functions as dbf
spark.sql(
    "SELECT * FROM VALUES (FLOAT('NAN')), (NULL) AS TAB(value)"
).select("*", dbf.exp("value")).show()

Output

+-----+----------+
|value|EXP(value)|
+-----+----------+
|  NaN|       NaN|
| NULL|      NULL|
+-----+----------+