处理计算中的负值(Databricks-Spark SQL)

-- 识别负值
SELECT * FROM table_name WHERE column_name < 0;

-- 将负值替换为零
SELECT CASE WHEN column_name < 0 THEN 0 ELSE column_name END AS new_column_name FROM table_name;

-- 将负值转换为绝对值
SELECT ABS(column_name) AS new_column_name FROM table_name;

-- 计算总和时忽略负值
SELECT SUM(CASE WHEN column_name > 0 THEN column_name ELSE 0 END) AS positive_sum FROM table_name;

-- 计算平均值时考虑负值
SELECT AVG(column_name) AS average_value FROM table_name;

from pyspark.sql.functions import when

# 假设df是导入的数据框
df = df.withColumn("column_name", when(df["column_name"] < 0, 0).otherwise(df["column_name"]))