pyspark.sql.functions.cosh#
- pyspark.sql.functions.cosh(col)[source]#
- Computes hyperbolic cosine of the input column. - New in version 1.4.0. - Changed in version 3.4.0: Supports Spark Connect. - Parameters
- colColumnor column name
- hyperbolic angle 
 
- col
- Returns
- Column
- hyperbolic cosine of the angle, as if computed by java.lang.Math.cosh() 
 
 - Examples - Example 1: Compute the cosine - >>> from pyspark.sql import functions as sf >>> df = spark.createDataFrame([(-1,), (0,), (1,)], ["value"]) >>> df.select("*", sf.cosh(df.value)).show() +-----+-----------------+ |value| COSH(value)| +-----+-----------------+ | -1|1.543080634815...| | 0| 1.0| | 1|1.543080634815...| +-----+-----------------+ - Example 2: Compute the cosine of invalid values - >>> from pyspark.sql import functions as sf >>> spark.sql( ... "SELECT * FROM VALUES (FLOAT('NAN')), (NULL) AS TAB(value)" ... ).select("*", sf.cosh("value")).show() +-----+-----------+ |value|COSH(value)| +-----+-----------+ | NaN| NaN| | NULL| NULL| +-----+-----------+