exp
Calcule a exponencial do valor dado. Compatível com Spark Connect.
Para a função Databricks SQL correspondente, consulte a funçãoexp.
Sintaxe
Python
from pyspark.databricks.sql import functions as dbf
dbf.exp(col=<col>)
Parâmetros
Parâmetro | Tipo | Descrição |
|---|---|---|
|
| coluna para calcular a exponencial. |
Devoluções
pyspark.sql.Column: exponencial do valor dado.
Exemplos
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|
+-----+----------+