acosh

Computes the inverse hyperbolic cosine (also known as arcosh) of the given column or expression. Supports Spark Connect.

For the corresponding Databricks SQL function, see acosh function.

Syntax

Python

from pyspark.databricks.sql import functions as dbf

dbf.acosh(col=<col>)

Parameters

Parameter	Type	Description
col	pyspark.sql.Column or column name	The target column or expression to compute the inverse hyperbolic cosine on.

Returns

pyspark.sql.Column: A new column object representing the inverse hyperbolic cosine of the input.

Examples

Python

from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([(1,), (2,)], ["value"])
df.select("*", dbf.acosh(df.value)).show()

Output

+-----+------------------+
|value|      ACOSH(value)|
+-----+------------------+
|    1|               0.0|
|    2|1.3169578969248...|
+-----+------------------+

Python

from pyspark.databricks.sql import functions as dbf
spark.sql(
    "SELECT * FROM VALUES (-0.5), (0.5), (NULL) AS TAB(value)"
).select("*", dbf.acosh("value")).show()

Output

+-----+------------+
|value|ACOSH(value)|
+-----+------------+
| -0.5|         NaN|
|  0.5|         NaN|
| NULL|        NULL|
+-----+------------+