如何从连接相同的pyspark dataframe中删除“重复”行？

from pyspark.sql import SparkSession

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

# 创建DataFrame
data = [("John", 25), ("Alice", 30), ("John", 25), ("Bob", 35)]
df = spark.createDataFrame(data, ["Name", "Age"])

# 删除重复行
df = df.dropDuplicates()

# 显示结果
df.show()

+-----+---+
| Name|Age|
+-----+---+
|  Bob| 35|
|John | 25|
|Alice| 30|
+-----+---+