cosh

Computes hyperbolic cosine of the input column. Supports Spark Connect.

For the corresponding Databricks SQL function, see cosh function.

Syntax

from pyspark.databricks.sql import functions as dbf

dbf.cosh(col=<col>)

Parameters

Parameter	Type	Description
col	pyspark.sql.Column or column name	hyperbolic angle

Returns

pyspark.sql.Column: hyperbolic cosine of the angle, as if computed by java.lang.Math.cosh()

Examples

from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([(-1,), (0,), (1,)], ["value"])
df.select("*", dbf.cosh(df.value)).show()

+-----+-----------------+
|value|      COSH(value)|
+-----+-----------------+
|   -1|1.543080634815...|
|    0|              1.0|
|    1|1.543080634815...|
+-----+-----------------+

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

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