cosh
Computes hyperbolic cosine of the input column. Supports Spark Connect.
For the corresponding Databricks SQL function, see cosh function.
Syntax
Python
from pyspark.sql import functions as dbf
dbf.cosh(col=<col>)
Parameters
Parameter | Type | Description |
|---|---|---|
|
| hyperbolic angle |
Returns
pyspark.sql.Column: hyperbolic cosine of the angle, as if computed by java.lang.Math.cosh()
Examples
Python
from pyspark.sql import functions as dbf
df = spark.createDataFrame([(-1,), (0,), (1,)], ["value"])
df.select("*", dbf.cosh(df.value)).show()
Output
+-----+-----------------+
|value| COSH(value)|
+-----+-----------------+
| -1|1.543080634815...|
| 0| 1.0|
| 1|1.543080634815...|
+-----+-----------------+
Python
from pyspark.sql import functions as dbf
spark.sql("SELECT * FROM VALUES (FLOAT('NAN')), (NULL) AS TAB(value)").select("*", dbf.cosh("value")).show()
Output
+-----+-----------+
|value|COSH(value)|
+-----+-----------+
| NaN| NaN|
| NULL| NULL|
+-----+-----------+