array_min #

pyspark.sql.functions.array_min(col) #

version: since 2.4.0

Collection function: returns the minimum value of the array.

array_min

Runnable Code:

from pyspark.sql import functions as F
# Set up dataframe
data = [{"a":1,"b":2,"c":2},{"a":3,"c":5}]
df = spark.createDataFrame(data)
df = df.select(F.array(F.col("a"),F.col("b"),F.col("c")).alias("a"))
# Use function
df = (df
     .withColumn("array_min",
       F.array_min(F.col("a")))
     )
df.show()

a	array_min
[1, 2, 2]	1
[3, null, 5]	3

Usage:

Simple array function.

returns: Column(sc.\_jvm.functions.array_min(\_to_java_column(col)))

PySpark manual

tags: smallest number in array, lowest in array, lowest in list