pyspark.sql.functions.asin#

pyspark.sql.functions.asin(col)[source]#

Computes inverse sine of the input column.

Added in version 1.4.0.

Changed in version 3.4.0: Supports Spark Connect.

Parameters:

colColumn or column name: target column to compute on. A column that evaluates to a double.

Returns:

Column: inverse sine of col, as if computed by java.lang.Math.asin() Returns a column that evaluates to a double.

See also

pyspark.sql.functions.sin()

Examples

Example 1: Compute the inverse sine

>>> from pyspark.sql import functions as sf
>>> df = spark.createDataFrame([(-0.5,), (0.0,), (0.5,)], ["value"])
>>> df.select("*", sf.asin(df.value)).show()
+-----+-------------------+
|value|        ASIN(value)|
+-----+-------------------+
| -0.5|-0.5235987755982...|
|  0.0|                0.0|
|  0.5| 0.5235987755982...|
+-----+-------------------+

Example 2: Compute the inverse sine of invalid values

>>> from pyspark.sql import functions as sf
>>> spark.sql(
...     "SELECT * FROM VALUES (-2), (2), (NULL) AS TAB(value)"
... ).select("*", sf.asin("value")).show()
+-----+-----------+
|value|ASIN(value)|
+-----+-----------+
|   -2|        NaN|
|    2|        NaN|
| NULL|       NULL|
+-----+-----------+