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Computes inverse hyperbolic sine of the input column. Supports Spark Connect.
For the corresponding Databricks SQL function, see asinh function.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.asinh(col=<col>)
Parameters
| Parameter | Type | Description |
|---|---|---|
col |
pyspark.sql.Column or column name |
target column to compute on. |
Returns
pyspark.sql.Column: the column for computed results.
Examples
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([(-0.5,), (0.0,), (0.5,)], ["value"])
df.select("*", dbf.asinh(df.value)).show()
+-----+--------------------+
|value| ASINH(value)|
+-----+--------------------+
| -0.5|-0.48121182505960...|
| 0.0| 0.0|
| 0.5| 0.48121182505960...|
+-----+--------------------+
from pyspark.databricks.sql import functions as dbf
spark.sql(
"SELECT * FROM VALUES (FLOAT('NAN')), (NULL) AS TAB(value)"
).select("*", dbf.asinh("value")).show()
+-----+------------+
|value|ASINH(value)|
+-----+------------+
| NaN| NaN|
| NULL| NULL|
+-----+------------+