在pyspark中列出到DataFrame(List to DataFrame in pyspark)

 有人可以告诉我如何将包含字符串的列表转换为pyspark中的Dataframe。 我使用python 3.6与spark 2.2.1。 我刚刚开始学习spark环境，我的数据如下所示 
 
my_data =[['apple','ball','ballon'],['cat','camel','james'],['none','focus','cake']]
 
 现在，我想创建一个Dataframe，如下所示 
 
---------------------------------
|ID | words                     |
---------------------------------
 1  | ['apple','ball','ballon'] |
 2  | ['cat','camel','james']   |
 
 我甚至想添加数据中没有关联的ID列 

Can someone tell me how to convert a list containing strings to a Dataframe in pyspark. I am using python 3.6 with spark 2.2.1. I am just started learning spark environment and my data looks like below
 
my_data =[['apple','ball','ballon'],['cat','camel','james'],['none','focus','cake']]
 
Now, i want to create a Dataframe as follows
 
---------------------------------
|ID | words                     |
---------------------------------
 1  | ['apple','ball','ballon'] |
 2  | ['cat','camel','james']   |
 
I even want to add ID column which is not associated in the data

原文：https://stackoverflow.com/questions/48290759