Pastaba.
Prieigai prie šio puslapio reikalingas įgaliojimas. Galite bandyti prisijungti arba pakeisti katalogus.
Prieigai prie šio puslapio reikalingas įgaliojimas. Galite bandyti pakeisti katalogus.
Computes tangent of the input column. Supports Spark Connect.
For the corresponding Databricks SQL function, see tan function.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.tan(col=<col>)
Parameters
| Parameter | Type | Description |
|---|---|---|
col |
pyspark.sql.Column or column name |
angle in radians |
Returns
pyspark.sql.Column: tangent of the given value, as if computed by java.lang.Math.tan()
Examples
from pyspark.databricks.sql import functions as dbf
spark.sql(
"SELECT * FROM VALUES (0.0), (PI() / 4), (PI() / 6) AS TAB(value)"
).select("*", dbf.tan("value")).show()
+------------------+------------------+
| value| TAN(value)|
+------------------+------------------+
| 0.0| 0.0|
|0.7853981633974...|0.9999999999999...|
|0.5235987755982...|0.5773502691896...|
+------------------+------------------+
from pyspark.databricks.sql import functions as dbf
spark.sql(
"SELECT * FROM VALUES (FLOAT('NAN')), (NULL) AS TAB(value)"
).select("*", dbf.tan("value")).show()
+-----+----------+
|value|TAN(value)|
+-----+----------+
| NaN| NaN|
| NULL| NULL|
+-----+----------+