asinh

Computes inverse hyperbolic sine of the input column. Supports Spark Connect.

For the corresponding Databricks SQL function, see asinh function.

Syntax

Python

from pyspark.databricks.sql import functions as dbf

dbf.asinh(col=<col>)

Parameters

Parameter	Type	Description
col	pyspark.sql.Column or column name	target column to compute on.

Returns

pyspark.sql.Column: the column for computed results.

Examples

Python

from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([(-0.5,), (0.0,), (0.5,)], ["value"])
df.select("*", dbf.asinh(df.value)).show()

Output

+-----+--------------------+
|value|        ASINH(value)|
+-----+--------------------+
| -0.5|-0.48121182505960...|
|  0.0|                 0.0|
|  0.5| 0.48121182505960...|
+-----+--------------------+

Python

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

Output

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