您可以先为整列计算 avg ，然后使用 lit()进行添加作为 DataFrame 的变量，不需要窗口函数:

You can compute the avg first for the whole column, then use lit() to add it as a variable to your DataFrame, there is no need for window functions:

from pyspark.sql.functions import lit

mean = df.groupBy().avg("dis_price_released").take(1)[0][0]
df.withColumn("test", lit(mean)).show()
 +------------------+----+
|dis_price_released|test|
+------------------+----+
|               0.0| 2.5|
|               4.0| 2.5|
|               4.0| 2.5|
|               4.0| 2.5|
|               1.0| 2.5|
|               4.0| 2.5|
|               4.0| 2.5|
|               0.0| 2.5|
|               4.0| 2.5|
|               0.0| 2.5|
+------------------+----+