如何在pyspark中获取绝对值？

from pyspark.sql.functions import abs

# 创建示例数据集
data = [(1, -5), (2, 10), (3, -3)]
df = spark.createDataFrame(data, ["id", "value"])

# 使用abs()函数获取绝对值
result = df.select("id", abs("value").alias("absolute_value"))

# 显示结果
result.show()

+---+--------------+
| id|absolute_value|
+---+--------------+
|  1|             5|
|  2|            10|
|  3|             3|
+---+--------------+