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Computes hyperbolic sine of the input column. Supports Spark Connect.
For the corresponding Databricks SQL function, see sinh function.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.sinh(col=<col>)
Parameters
| Parameter | Type | Description |
|---|---|---|
col |
pyspark.sql.Column or column name |
hyperbolic angle. |
Returns
pyspark.sql.Column: hyperbolic sine of the given value, as if computed by java.lang.Math.sinh()
Examples
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([(-1,), (0,), (1,)], ["value"])
df.select("*", dbf.sinh(df.value)).show()
+-----+-------------------+
|value| SINH(value)|
+-----+-------------------+
| -1|-1.1752011936438...|
| 0| 0.0|
| 1| 1.1752011936438...|
+-----+-------------------+
from pyspark.databricks.sql import functions as dbf
spark.sql(
"SELECT * FROM VALUES (FLOAT('NAN')), (NULL) AS TAB(value)"
).select("*", dbf.sinh("value")).show()
+-----+-----------+
|value|SINH(value)|
+-----+-----------+
| NaN| NaN|
| NULL| NULL|
+-----+-----------+