我只需要附加那些在pyspark dataframe中具有非空值的值

# 导入必要的库
from pyspark.sql import SparkSession

# 创建SparkSession
spark = SparkSession.builder.getOrCreate()

# 创建示例DataFrame
data = [("Alice", 25, None),
        ("Bob", None, 80),
        ("Charlie", 30, 90)]

df = spark.createDataFrame(data, ["Name", "Age", "Score"])

# 删除具有空值的行
df_without_null = df.na.drop()

# 显示结果
df_without_null.show()

+-------+---+-----+
|   Name|Age|Score|
+-------+---+-----+
|  Alice| 25| null|
|Charlie| 30|   90|
+-------+---+-----+

# 删除Age列中具有空值的行
df_without_null_age = df.na.drop(subset=["Age"])

# 显示结果
df_without_null_age.show()

+-------+---+-----+
|   Name|Age|Score|
+-------+---+-----+
|  Alice| 25| null|
|Charlie| 30|   90|
+-------+---+-----+