Iterator and Iterable have most of the most useful methods when dealing with collections. Fold, Map, Filter are probably the most common. But other very useful methods include grouped/groupBy, sliding, find, forall, foreach, and many more. I want to cover Iterable's groupBy method in this topic.
This is a Scala 2.8 and later method. It is similar to partition in that it allows the collection to be divided (or partitioned). Partition takes a method with returns a boolean and partitions the collection into two depending on a result. GroupBy takes a function that returns an object and returns a Map with the key being the return value. This allows an arbitrary number of partitions to be made from the collection.
Here is the method signature:
def groupBy[K](f : (A) => K) : Map[K, This]
AI 代码解读
A bit of context is require to understand the three Type parameters A, K and This. This method is defined in a super class of collections called TraversableLike (I will briefly discuss this in the next topic.) TraversableLike takes two type parameters: the type of the collection and the type contained in the collection. Therefore in this method definition, 'This' refers to the collection type (List for example) and A refers to contained type (perhaps Int). Finally K refers to the type returned by the function and are the keys of the groups formed by the method.
scala> val groups = (1 to 20).toList groupBy {
case i if(i<5) => "g1"
case i if(i<10) => "g2"
case i if(i<15) => "g3"
case _ => "g4"
}
res4: scala.collection.Map[java.lang.String,List[Int]] = Map(g1 -> List(1, 2, 3, 4),
g2 -> List(5, 6, 7, 8, 9), g3 -> List(10, 11, 12, 13, 14), g4 -> List(15, 16, 17, 18, 19, 20))
scala> val mods = (1 to 20).toList groupBy ( _ % 4 )
mods: scala.collection.Map[Int,List[Int]] = Map(1 -> List(1, 5, 9, 13, 17), 2 -> List(2, 6, 10, 14, 18),
3 -> List(3, 7,11, 15, 19), 0 -> List(4, 8, 12, 16, 20))
AI 代码解读
