如何将表达式iloc从pandas转换为Pyspark Dataframe？

from pyspark.sql import SparkSession

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

# 将pandas的Dataframe转换为Pyspark的Dataframe
pyspark_df = spark.createDataFrame(pandas_df)

# 选择单个列
selected_df = pyspark_df.select("column_name")

# 选择多个列
selected_df = pyspark_df.select("column_name1", "column_name2")

# 使用col函数选择列
from pyspark.sql.functions import col

selected_df = pyspark_df.select(col("column_name1"), col("column_name2"))

# 选择满足条件的行
filtered_df = pyspark_df.where(condition_expression)

# 使用pyspark.sql.functions模块中的函数构建条件表达式
from pyspark.sql.functions import col

filtered_df = pyspark_df.where(col("column_name") > 10)

# 将Pyspark Dataframe转换为pandas的Dataframe
pandas_df = filtered_df.toPandas()