将 pyspark 数据帧转换为 python 字典列表

Question

您好，我是 pyspark 的新手，我正在尝试将 pyspark.sql.dataframe 转换为字典列表。

下面是我的数据框，类型是 <class 'pyspark.sql.dataframe.DataFrame'>：

+------------------+----------+------------------------+
|             title|imdb_score|Worldwide_Gross(dollars)|
+------------------+----------+------------------------+
| The Eight Hundred|       7.2|               460699653|
| Bad Boys for Life|       6.6|               426505244|
|             Tenet|       7.8|               334000000|
|Sonic the Hedgehog|       6.5|               308439401|
|          Dolittle|       5.6|               245229088|
+------------------+----------+------------------------+

我想将其转换为：

[{"title":"The Eight Hundred", "imdb_score":7.2, "Worldwide_Gross(dollars)":460699653},
 {"title":"Bad Boys for Life", "imdb_score":6.6, "Worldwide_Gross(dollars)":426505244},
 {"title":"Tenet", "imdb_score":7.8, "Worldwide_Gross(dollars)":334000000},
 {"title":"Sonic the Hedgehog", "imdb_score":6.5, "Worldwide_Gross(dollars)":308439401},
 {"title":"Dolittle", "imdb_score":5.6, "Worldwide_Gross(dollars)":245229088}]

我该怎么做？提前致谢！

Answer 1

您可以将每一行映射到字典中并收集结果：

df.rdd.map(lambda row: row.asDict()).collect()