pyspark.sql.functions.stddev_pop#

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

Aggregate function: returns population standard deviation of the expression in a group.

Added in version 1.6.0.

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 numeric.

Returns:

Column: standard deviation of given column. Returns a column that evaluates to a double.

See also

pyspark.sql.functions.std()
pyspark.sql.functions.stddev()
pyspark.sql.functions.stddev_samp()
pyspark.sql.functions.var_pop()

Examples

>>> import pyspark.sql.functions as sf
>>> spark.range(6).select(sf.stddev_pop("id")).show()
+-----------------+
|   stddev_pop(id)|
+-----------------+
|1.707825127659...|
+-----------------+