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

下面是SequenceType上的一个类别，它保留了数组的原始顺序，但使用Set来进行contains查找，以避免数组的contains(_:)方法上的O(n)代价。

public extension Sequence where Element: Hashable {

    /// Return the sequence with all duplicates removed.
    ///
    /// i.e. `[ 1, 2, 3, 1, 2 ].uniqued() == [ 1, 2, 3 ]`
    ///
    /// - note: Taken from stackoverflow.com/a/46354989/3141234, as 
    ///         per @Alexander's comment.
    func uniqued() -> [Element] {
        var seen = Set<Element>()
        return self.filter { seen.insert($0).inserted }
    }
}

如果你不是Hashable或Equatable，你可以传入一个谓词来进行相等性检查:

extension Sequence {

    /// Return the sequence with all duplicates removed.
    ///
    /// Duplicate, in this case, is defined as returning `true` from `comparator`.
    ///
    /// - note: Taken from stackoverflow.com/a/46354989/3141234
    func uniqued(comparator: @escaping (Element, Element) throws -> Bool) rethrows -> [Element] {
        var buffer: [Element] = []

        for element in self {
            // If element is already in buffer, skip to the next element
            if try buffer.contains(where: { try comparator(element, $0) }) {
                continue
            }

            buffer.append(element)
        }

        return buffer
    }
}

现在，如果你没有Hashable，但是是Equatable，你可以使用这个方法:

extension Sequence where Element: Equatable {

    /// Return the sequence with all duplicates removed.
    ///
    /// i.e. `[ 1, 2, 3, 1, 2 ].uniqued() == [ 1, 2, 3 ]`
    ///
    /// - note: Taken from stackoverflow.com/a/46354989/3141234
    func uniqued() -> [Element] {
        return self.uniqued(comparator: ==)
    }
}

最后，你可以添加一个unique的关键路径版本，如下所示:

extension Sequence {

    /// Returns the sequence with duplicate elements removed, performing the comparison using the property at
    /// the supplied keypath.
    ///
    /// i.e.
    ///
    /// ```
    /// [
    ///   MyStruct(value: "Hello"),
    ///   MyStruct(value: "Hello"),
    ///   MyStruct(value: "World")
    ///  ].uniqued(\.value)
    /// ```
    /// would result in
    ///
    /// ```
    /// [
    ///   MyStruct(value: "Hello"),
    ///   MyStruct(value: "World")
    /// ]
    /// ```
    ///
    /// - note: Taken from stackoverflow.com/a/46354989/3141234
    ///
    func uniqued<T: Equatable>(_ keyPath: KeyPath<Element, T>) -> [Element] {
        self.uniqued { $0[keyPath: keyPath] == $1[keyPath: keyPath] }
    }
}

你可以把这两个都放在你的应用程序中，Swift会根据你的序列的迭代器选择正确的一个。元素类型。

对于El Capitan，您可以扩展此方法以包括多个键盘，如下所示:

    /// Returns the sequence with duplicate elements removed, performing the comparison using the property at
    /// the supplied keypaths.
    ///
    /// i.e.
    ///
    /// ```
    /// [
    ///   MyStruct(value1: "Hello", value2: "Paula"),
    ///   MyStruct(value1: "Hello", value2: "Paula"),
    ///   MyStruct(value1: "Hello", value2: "Bean"),
    ///   MyStruct(value1: "World", value2: "Sigh")
    ///  ].uniqued(\.value1, \.value2)
    /// ```
    /// would result in
    ///
    /// ```
    /// [
    ///   MyStruct(value1: "Hello", value2: "Paula"),
    ///   MyStruct(value1: "Hello", value2: "Bean"),
    ///   MyStruct(value1: "World", value2: "Sigh")
    /// ]
    /// ```
    ///
    /// - note: Taken from stackoverflow.com/a/46354989/3141234
    ///
    func uniqued<T: Equatable, U: Equatable>(_ keyPath1: KeyPath<Element, T>, _ keyPath2: KeyPath<Element, U>) -> [Element] {
        self.uniqued {
            $0[keyPath: keyPath1] == $1[keyPath: keyPath1] && $0[keyPath: keyPath2] == $1[keyPath: keyPath2]
        }
    }

但是(恕我直言)你最好把你自己的block传递给self.unique。

从数组中删除重复项的另一个Swift 3.0解决方案。该解决方案改进了许多已经提出的其他解决方案:

保留输入数组中元素的顺序 线性复杂度O(n):单通滤波器O(n) +集插入O(1)

给定整数数组:

let numberArray = [10, 1, 2, 3, 2, 1, 15, 4, 5, 6, 7, 3, 2, 12, 2, 5, 5, 6, 10, 7, 8, 3, 3, 45, 5, 15, 6, 7, 8, 7]

功能代码:

func orderedSet<T: Hashable>(array: Array<T>) -> Array<T> {
    var unique = Set<T>()
    return array.filter { element in
        return unique.insert(element).inserted
    }
}

orderedSet(array: numberArray)  // [10, 1, 2, 3, 15, 4, 5, 6, 7, 12, 8, 45]

数组扩展代码:

extension Array where Element:Hashable {
    var orderedSet: Array {
        var unique = Set<Element>()
        return filter { element in
            return unique.insert(element).inserted
        }
    }
}

numberArray.orderedSet // [10, 1, 2, 3, 15, 4, 5, 6, 7, 12, 8, 45]

这段代码利用了Set上的插入操作返回的结果，该操作在O(1)上执行，并返回一个元组，指示该项是否被插入，或者该项是否已经存在于Set中。

如果项目在集合中，过滤器将从最终结果中排除它。

斯威夫特2

用uniq函数回答:

func uniq<S: SequenceType, E: Hashable where E==S.Generator.Element>(source: S) -> [E] {
    var seen: [E:Bool] = [:]
    return source.filter({ (v) -> Bool in
        return seen.updateValue(true, forKey: v) == nil
    })
}

use:

var test = [1,2,3,4,5,6,7,8,9,9,9,9,9,9]
print(uniq(test)) //1,2,3,4,5,6,7,8,9

这只是一个非常简单和方便的实现。具有相等元素的数组扩展中的计算属性。

extension Array where Element: Equatable {
    /// Array containing only _unique_ elements.
    var unique: [Element] {
        var result: [Element] = []
        for element in self {
            if !result.contains(element) {
                result.append(element)
            }
        }

        return result
    }
}

这里我对对象做了O(n)解。不是少行解决方案，而是……

struct DistinctWrapper <T>: Hashable {
    var underlyingObject: T
    var distinctAttribute: String
    var hashValue: Int {
        return distinctAttribute.hashValue
    }
}
func distinct<S : SequenceType, T where S.Generator.Element == T>(source: S,
                                                                distinctAttribute: (T) -> String,
                                                                resolution: (T, T) -> T) -> [T] {
    let wrappers: [DistinctWrapper<T>] = source.map({
        return DistinctWrapper(underlyingObject: $0, distinctAttribute: distinctAttribute($0))
    })
    var added = Set<DistinctWrapper<T>>()
    for wrapper in wrappers {
        if let indexOfExisting = added.indexOf(wrapper) {
            let old = added[indexOfExisting]
            let winner = resolution(old.underlyingObject, wrapper.underlyingObject)
            added.insert(DistinctWrapper(underlyingObject: winner, distinctAttribute: distinctAttribute(winner)))
        } else {
            added.insert(wrapper)
        }
    }
    return Array(added).map( { return $0.underlyingObject } )
}
func == <T>(lhs: DistinctWrapper<T>, rhs: DistinctWrapper<T>) -> Bool {
    return lhs.hashValue == rhs.hashValue
}

// tests
// case : perhaps we want to get distinct addressbook list which may contain duplicated contacts like Irma and Irma Burgess with same phone numbers
// solution : definitely we want to exclude Irma and keep Irma Burgess
class Person {
    var name: String
    var phoneNumber: String
    init(_ name: String, _ phoneNumber: String) {
        self.name = name
        self.phoneNumber = phoneNumber
    }
}

let persons: [Person] = [Person("Irma Burgess", "11-22-33"), Person("Lester Davidson", "44-66-22"), Person("Irma", "11-22-33")]
let distinctPersons = distinct(persons,
    distinctAttribute: { (person: Person) -> String in
        return person.phoneNumber
    },
    resolution:
    { (p1, p2) -> Person in
        return p1.name.characters.count > p2.name.characters.count ? p1 : p2
    }
)
// distinctPersons contains ("Irma Burgess", "11-22-33") and ("Lester Davidson", "44-66-22")