Experiencia

Calcula el valor exponencial del valor especificado. Soporta Spark Connect.

Para obtener la función SQL de Databricks correspondiente, consulte exp function.

Syntax

from pyspark.databricks.sql import functions as dbf

dbf.exp(col=<col>)

Parámetros

Parámetro	Tipo	Description
col	pyspark.sql.Column or column name	columna para la que se va a calcular exponencialmente.

Devoluciones

pyspark.sql.Column: exponencial del valor especificado.

Examples

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

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

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

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