PySpark minimum of a list -

how find minimum of list stored in cell? can udf, feels overkill. min function pyspark.sql.functions works on groups (that result of groupby).

min_ = udf(lambda inarr: min(inarr), integertype()) mydataframewithmin = mydataframe.withcolumn('min_value', min_(f.col('position_list'))) 

if imported pyspark.sql.functions , python's min covered, can still access __builtins__ prefix, example:

min_ = udf(lambda inarr: __builtins__.min(inarr), integertype())