如何在整型列在pyspark中具有不正确的值时返回null

from pyspark.sql import SparkSession
from pyspark.sql.functions import when

spark = SparkSession.builder.getOrCreate()

data = [(1, 10), (2, 20), (3, -1), (4, 30), (5, -2)]
df = spark.createDataFrame(data, ["id", "value"])

df = df.withColumn("value", when(df.value < 0, None).otherwise(df.value))

df.show()

+---+-----+
| id|value|
+---+-----+
|  1|   10|
|  2|   20|
|  3| null|
|  4|   30|
|  5| null|
+---+-----+