http://blog.csdn.net/pipisorry/article/details/52913548java
python參考[python函數式編程：apply, map, lambda和偏函數 ]
python
Scala 中下劃線的用法
一、存在性類型：Existential types
def foo(l: List[Option[_]]) = ...
二、高階類型參數：Higher kinded type parameters
case class A[K[_],T](a: K[T])
三、臨時變量：Ignored variables
val _ = 5
四、臨時參數：Ignored parameters
List(1, 2, 3) foreach { _ => println("Hi") }
五、通配模式：Wildcard patterns
Some(5) match { case Some(_) => println("Yes") }
match {
case List(1,_,_) => " a list with three element and the first element is 1"
case List(_*) => " a list with zero or more elements "
case Map[_,_] => " matches a map with any key type and any value type "
case _ =>
}
val (a, _) = (1, 2)
for (_ <- 1 to 10)
六、通配導入：Wildcard imports
import java.util._
七、隱藏導入：Hiding imports
// Imports all the members of the object Fun but renames Foo to Bar
import com.test.Fun.{ Foo => Bar , _ }
// Imports all the members except Foo. To exclude a member rename it to _
import com.test.Fun.{ Foo => _ , _ }
八、鏈接字母和標點符號：Joining letters to punctuation
def bang_!(x: Int) = 5
九、佔位符語法：Placeholder syntax
List(1, 2, 3) map (_ + 2)
_ + _
( (_: Int) + (_: Int) )(2,3)
val nums = List(1,2,3,4,5,6,7,8,9,10)
nums map (_ + 2)
nums sortWith(_>_)
nums filter (_ % 2 == 0)
nums reduceLeft(_+_)
nums reduce (_ + _)
nums reduceLeft(_ max _)
nums.exists(_ > 5)
nums.takeWhile(_ < 8)
十、偏應用函數：Partially applied functions
def fun = {
// Some code
}
val funLike = fun _
List(1, 2, 3) foreach println _
1 to 5 map (10 * _)
//List("foo", "bar", "baz").map(_.toUpperCase())
List("foo", "bar", "baz").map(n => n.toUpperCase())
十一、初始化默認值：default value
var i: Int = _
編程
十二、做爲參數名：api
//訪問map
var m3 = Map((1,100), (2,200))
for(e<-m3) println(e._1 + ": " + e._2)
m3 filter (e=>e._1>1)
m3 filterKeys (_>1)
m3.map(e=>(e._1*10, e._2))
m3 map (e=>e._2)
指代一個集合中的每一個元素數組
例如咱們要在一個Array a中篩出偶數，並乘以2：a.filter(_%2==0).map(2*_)。
又如要對緩衝數組ArrayBuffer b排序，能夠這樣：val bSorted = b.sorted(_)
在元組中，能夠用方法_1, _2, _3訪問組員。如(1,2)._2。其中句點能夠用空格替代。app
Note: 改爲python語法的話就要使用lambda表達式了，或者直接使用列表解析。函數式編程
1三、參數序列：parameters Sequence
_*做爲一個總體，告訴編譯器你但願將某個參數看成參數序列處理。例如val s = sum(1 to 5:_*)就是將1 to 5看成參數序列處理。
//Range轉換爲List
List(1 to 5:_*)
//Range轉換爲Vector
Vector(1 to 5: _*)
//可變參數中
def capitalizeAll(args: String*) = {
args.map { arg =>
arg.capitalize
}
}
val arr = Array("what's", "up", "doc?")
capitalizeAll(arr: _*)
這裏須要注意的是，如下兩種寫法實現的是徹底不同的功能：
foo _ // Eta expansion of method into method value
foo(_) // Partial function application
Example showing why foo(_) and foo _ are different:
trait PlaceholderExample {
def process[A](f: A => Unit)
val set: Set[_ => Unit]
set.foreach(process _) // Error
set.foreach(process(_)) // No Error
}
In the first case, process _ represents a method; Scala takes the polymorphic method and attempts to make it monomorphic by filling in the type parameter, but realizes that there is no type that can be filled in for A that will give the type (_ => Unit) => ? (Existential _ is not a type).
In the second case, process(_) is a lambda; when writing a lambda with no explicit argument type, Scala infers the type from the argument that foreach expects, and _ => Unit is a type (whereas just plain _ isn't), so it can be substituted and inferred.
This may well be the trickiest gotcha in Scala I have ever encountered.
函數
[淺談 Scala 中下劃線的用途]
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from: http://blog.csdn.net/pipisorry/article/details/52913548
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