Converting a Scala map into Python for Spark

Question

As par of Random Forest example:

Here is some context

val forest = RandomForest.trainClassifier(
  trainData, 7, Map(10 -> 4, 11 -> 40), 20,
  "auto", "entropy", 30, 300)

1. I am not sure what does Map(10 -> 4, 11 -> 40) mean ?
2. Whats the python or pyspark equivalent for this ?

Answer 1

This is essentially the equivalent of a Python dictionary

So

Map(10 -> 4, 11 -> 40)

Becomes

categoricalFeaturesInfo={10: 4, 11: 40}