Nota
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Capaian ke halaman ini memerlukan kebenaran. Anda boleh cuba menukar direktori.
Computes hyperbolic sine of the input column. Supports Spark Connect.
For the corresponding Databricks SQL function, see sinh function.
Syntax
from pyspark.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.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.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|
+-----+-----------+