如何在现有DataFrame中创建新行？在PySpark或Scala中

from pyspark.sql import SparkSession
from pyspark.sql.functions import lit

spark = SparkSession.builder.getOrCreate()

data = [("Alice", 25), ("Bob", 30), ("Charlie", 35)]
df = spark.createDataFrame(data, ["Name", "Age"])
df.show()

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

new_row = ("Dave", 40)
df_new = df.withColumn("Name", lit(new_row[0])).withColumn("Age", lit(new_row[1]))
df_new.show()

+-------+---+
|   Name|Age|
+-------+---+
|   Dave| 40|
|   Dave| 40|
|   Dave| 40|
+-------+---+

import org.apache.spark.sql.SparkSession

val spark = SparkSession.builder.getOrCreate()

val data = Seq(("Alice", 25), ("Bob", 30), ("Charlie", 35))
val df = spark.createDataFrame(data).toDF("Name", "Age")
df.show()

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

val new_row = ("Dave", 40)
val df_new = df.withColumn("Name", lit(new_row._1)).withColumn("Age", lit(new_row._2))
df_new.show()

+-------+---+
|   Name|Age|
+-------+---+
|   Dave| 40|
|   Dave| 40|
|   Dave| 40|
+-------+---+