如果你想保持秩序，那么就用这个

let fruits = ["apple", "pear", "pear", "banana", "apple"] 
let orderedNoDuplicates = Array(NSOrderedSet(array: fruits).map({ $0 as! String }))

编辑/更新Swift 4或更高版本

我们还可以扩展RangeReplaceableCollection协议，以允许它也用于StringProtocol类型:

extension RangeReplaceableCollection where Element: Hashable {
    var orderedSet: Self {
        var set = Set<Element>()
        return filter { set.insert($0).inserted }
    }
    mutating func removeDuplicates() {
        var set = Set<Element>()
        removeAll { !set.insert($0).inserted }
    }
}

let integers = [1, 4, 2, 2, 6, 24, 15, 2, 60, 15, 6]
let integersOrderedSet = integers.orderedSet // [1, 4, 2, 6, 24, 15, 60]

"abcdefabcghi".orderedSet  // "abcdefghi"
"abcdefabcghi".dropFirst(3).orderedSet // "defabcghi"

变异的方法:

var string = "abcdefabcghi"
string.removeDuplicates() 
string  //  "abcdefghi"

var substring = "abcdefabcdefghi".dropFirst(3)  // "defabcdefghi"
substring.removeDuplicates()
substring   // "defabcghi"

对于Swift 3，请点击这里

从数组中删除重复项的简单方法

extension Array where Element: Equatable {
mutating func removeDuplicates() {
    var result = [Element]()
    for value in self {
        if !result.contains(value) {
            result.append(value)
        }
    }
    self = result
}}

使用Set或NSOrderedSet删除重复项，然后转换回数组:

let uniqueUnordered = Array(Set(array))
let uniqueOrdered = Array(NSOrderedSet(array: array))

您总是可以使用Dictionary，因为Dictionary只能保存惟一的值。例如:

var arrayOfDates: NSArray = ["15/04/01","15/04/01","15/04/02","15/04/02","15/04/03","15/04/03","15/04/03"]

var datesOnlyDict = NSMutableDictionary()
var x = Int()

for (x=0;x<(arrayOfDates.count);x++) {
    let date = arrayOfDates[x] as String
    datesOnlyDict.setValue("foo", forKey: date)
}

let uniqueDatesArray: NSArray = datesOnlyDict.allKeys // uniqueDatesArray = ["15/04/01", "15/04/03", "15/04/02"]

println(uniqueDatesArray.count)  // = 3

正如你所看到的，生成的数组并不总是按“顺序”排列。如果你想对数组排序，添加这个:

var sortedArray = sorted(datesOnlyArray) {
(obj1, obj2) in

    let p1 = obj1 as String
    let p2 = obj2 as String
    return p1 < p2
}

println(sortedArray) // = ["15/04/01", "15/04/02", "15/04/03"]

.

像函数式程序员一样思考:)

要根据元素是否已经出现来筛选列表，需要索引。可以使用enumeration获取索引，并使用map返回值列表。

let unique = myArray
    .enumerated()
    .filter{ myArray.firstIndex(of: $0.1) == $0.0 }
    .map{ $0.1 }

这保证了秩序。如果你不介意顺序，那么Array(Set(myArray))的现有答案更简单，可能更有效。

更新:一些关于效率和正确性的注意事项

一些人对效率进行了评论。我肯定是先写正确而简单的代码，然后再找出瓶颈，尽管我知道这是否比Array(Set(Array))更清楚是有争议的。

这个方法比Array(Set(Array))慢很多。正如评论中所指出的，它确实保持了顺序，并对非Hashable的元素起作用。

然而，@Alain T的方法也保持了秩序，也快得多。所以除非你的元素类型是不可哈希的，或者你只是需要一个快速的一行，那么我建议采用他们的解决方案。

以下是MacBook Pro(2014)在Xcode 11.3.1 (Swift 5.1)发布模式下的一些测试。

profiler函数和两个比较方法:

func printTimeElapsed(title:String, operation:()->()) {
    var totalTime = 0.0
    for _ in (0..<1000) {
        let startTime = CFAbsoluteTimeGetCurrent()
        operation()
        let timeElapsed = CFAbsoluteTimeGetCurrent() - startTime
        totalTime += timeElapsed
    }
    let meanTime = totalTime / 1000
    print("Mean time for \(title): \(meanTime) s")
}

func method1<T: Hashable>(_ array: Array<T>) -> Array<T> {
    return Array(Set(array))
}

func method2<T: Equatable>(_ array: Array<T>) -> Array<T>{
    return array
    .enumerated()
    .filter{ array.firstIndex(of: $0.1) == $0.0 }
    .map{ $0.1 }
}

// Alain T.'s answer (adapted)
func method3<T: Hashable>(_ array: Array<T>) -> Array<T> {
    var uniqueKeys = Set<T>()
    return array.filter{uniqueKeys.insert($0).inserted}
}

以及少量的测试输入:

func randomString(_ length: Int) -> String {
  let letters = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789"
  return String((0..<length).map{ _ in letters.randomElement()! })
}

let shortIntList = (0..<100).map{_ in Int.random(in: 0..<100) }
let longIntList = (0..<10000).map{_ in Int.random(in: 0..<10000) }
let longIntListManyRepetitions = (0..<10000).map{_ in Int.random(in: 0..<100) }
let longStringList = (0..<10000).map{_ in randomString(1000)}
let longMegaStringList = (0..<10000).map{_ in randomString(10000)}

给出输出:

Mean time for method1 on shortIntList: 2.7358531951904296e-06 s
Mean time for method2 on shortIntList: 4.910230636596679e-06 s
Mean time for method3 on shortIntList: 6.417632102966309e-06 s
Mean time for method1 on longIntList: 0.0002518167495727539 s
Mean time for method2 on longIntList: 0.021718120217323302 s
Mean time for method3 on longIntList: 0.0005312927961349487 s
Mean time for method1 on longIntListManyRepetitions: 0.00014377200603485108 s
Mean time for method2 on longIntListManyRepetitions: 0.0007293639183044434 s
Mean time for method3 on longIntListManyRepetitions: 0.0001843773126602173 s
Mean time for method1 on longStringList: 0.007168249964714051 s
Mean time for method2 on longStringList: 0.9114790915250778 s
Mean time for method3 on longStringList: 0.015888616919517515 s
Mean time for method1 on longMegaStringList: 0.0525397013425827 s
Mean time for method2 on longMegaStringList: 1.111266262292862 s
Mean time for method3 on longMegaStringList: 0.11214958941936493 s