Parsing a JSON-escaped (/) string in PySpark vs. Scala

Question

I need to convert this Scala code to PySpark (below is the scala code)? How can this be accomplished in PySpark?

val sc: SparkContext = ...
val sqlContext = new SQLContext(sc)

val escapedJsons: RDD[String] = sc.parallelize(Seq("""{"id":1,"name":"some name","problem_field":"{\"height\":180,\"weight\":80}"}"""))
val unescapedJsons: RDD[String] = escapedJsons.map(_.replace("\"{", "{").replace("\"}", "}").replace("\\\"", "\""))
val dfJsons: DataFrame = sqlContext.read.json(unescapedJsons)

dfJsons.printSchema()

Output

root
|-- id: long (nullable = true)
|-- name: string (nullable = true)
|-- problem_field: struct (nullable = true)
|    |-- height: long (nullable = true)
|    |-- weight: long (nullable = true)

Big Thank you :)