Nóta
Aðgangur að þessari síðu krefst heimildar. Þú getur prófað aðskrá þig inn eða breyta skráasöfnum.
Aðgangur að þessari síðu krefst heimildar. Þú getur prófað að breyta skráasöfnum.
Computes inverse hyperbolic tangent of the input column. Supports Spark Connect.
For the corresponding Databricks SQL function, see atanh function.
Syntax
from pyspark.sql import functions as dbf
dbf.atanh(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.sql import functions as dbf
df = spark.createDataFrame([(-0.5,), (0.0,), (0.5,)], ["value"])
df.select("*", dbf.atanh(df.value)).show()
+-----+-------------------+
|value| ATANH(value)|
+-----+-------------------+
| -0.5|-0.5493061443340...|
| 0.0| 0.0|
| 0.5| 0.5493061443340...|
+-----+-------------------+
from pyspark.sql import functions as dbf
spark.sql("SELECT * FROM VALUES (-2), (2), (FLOAT('NAN')), (NULL) AS TAB(value)").select("*", dbf.atanh("value")).show()
+-----+------------+
|value|ATANH(value)|
+-----+------------+
| -2.0| NaN|
| 2.0| NaN|
| NaN| NaN|
| NULL| NULL|
+-----+------------+