有没有一种方法可以在pyspark中根据索引对数据帧进行切片？

# 假设df是你的DataFrame
sliced_df = df.skip(9).limit(11)

from pyspark.sql import Window
from pyspark.sql.functions import row_number

# 创建一个窗口规范
windowSpec = Window.orderBy("some_column")

# 添加一个行号列
df_with_row_num = df.withColumn("row_num", row_number().over(windowSpec))

# 过滤出第10到20行
sliced_df = df_with_row_num.filter((df_with_row_num.row_num >= 10) & (df_with_row_num.row_num <= 20))

from pyspark.sql.functions import posexplode

# 假设你有一个包含索引的列
sliced_df = df.selectExpr("posexplode(array(10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)) as (index, value)").join(df, df.some_column == "value")