- Swift Tutorial
- Swift - Home
- Swift - Overview
- Swift - Environment
- Swift - Basic Syntax
- Swift - Variables
- Swift - Constants
- Swift - Literals
- Swift - Comments
- Swift Operators
- Swift - Operators
- Swift - Arithmetic Operators
- Swift - Comparison Operators
- Swift - Logical Operators
- Swift - Assignment Operators
- Swift - Bitwise Operators
- Swift - Misc Operators
- Swift Advanced Operators
- Swift - Operator Overloading
- Swift - Arithmetic Overflow Operators
- Swift - Identity Operators
- Swift - Range Operators
- Swift Data Types
- Swift - Data Types
- Swift - Integers
- Swift - Floating-Point Numbers
- Swift - Double
- Swift - Boolean
- Swift - Strings
- Swift - Characters
- Swift - Type Aliases
- Swift - Optionals
- Swift - Tuples
- Swift - Assertions and Precondition
- Swift Control Flow
- Swift - Decision Making
- Swift - if statement
- Swift - if...else if...else Statement
- Swift - if-else Statement
- Swift - nested if statements
- Swift - switch statement
- Swift - Loops
- Swift - for in loop
- Swift - While loop
- Swift - repeat...while loop
- Swift - continue statement
- Swift - break statement
- Swift - fall through statement
- Swift Collections
- Swift - Arrays
- Swift - Sets
- Swift - Dictionaries
- Swift Functions
- Swift - Functions
- Swift - Nested Functions
- Swift - Function Overloading
- Swift - Recursion
- Swift - Higher-Order Functions
- Swift Closures
- Swift - Closures
- Swift-Escaping and Non-escaping closure
- Swift - Auto Closures
- Swift OOps
- Swift - Enumerations
- Swift - Structures
- Swift - Classes
- Swift - Properties
- Swift - Methods
- Swift - Subscripts
- Swift - Inheritance
- Swift-Overriding
- Swift - Initialization
- Swift - Deinitialization
- Swift Advanced
- Swift - ARC Overview
- Swift - Optional Chaining
- Swift - Error handling
- Swift - Concurrency
- Swift - Type Casting
- Swift - Nested Types
- Swift - Extensions
- Swift - Protocols
- Swift - Generics
- Swift - Access Control
- Swift - Function vs Method
- Swift - SwiftyJSON
- Swift - Singleton class
- Swift Random Numbers
- Swift Opaque and Boxed Type
- Swift Useful Resources
- Swift - Compile Online
- Swift - Quick Guide
- Swift - Useful Resources
- Swift - Discussion
Swift - Higher-Order Functions
A higher-order function is a special type of function; it takes one or more functions as arguments or can return a function as its result. They can easily manipulate and transform the data of the given collections without creating any extra user-defined function. Below are the higher-order functions provided by the Swift language −
- forEach()
- map()
- compactMap()
- flatMap()
- filter()
- reduce()
- sort()
- sorted()
All the higher-order functions are based on closure but don't worry you don't need to be a master of closure. They are easy to use and also reduce the size of the code in the project and can be reusable.
The forEach() Function
The ForEach() function is quite similar to the for-in loop. It will iterate through all the elements in a collection (eg array) and not return anything. Remember that you cannot use continue and break inside the forEach() function to exit the currently executing statement.
Syntax
Following is the syntax of the forEach() function −
func forEach(_x: (Self.Element)throws-> Void) rethrows
Parameter
x represents a closure that takes an item of the given sequence as a parameter.
Example
Swift program to display all the elements of the array using the forEach() function.
import Foundation let numbersInWord = ["One", "Two", "Three", "Four", "Five", "Six"] numbersInWord.forEach { element in print(element) }
Output
It will produce the following output −
One Two Three Four Five Six
The map() Function
The map function works by performing an operation on all the elements of a collection and returning a new collection with the results of that operation. This function is designed to transform an object from one type to another type (as well as the same type).
Syntax
Following is the syntax of the map() function −
func map<T>(_ mTransform: (Self.Element) throws -> T) rethrows -> [T]
Parameter
The mTransform is a mapping closure. It accepts elements from the given sequence and returns a transformed value of the same or different type.
Return Value
It will return a transformed array.
Example
Swift program to convert int to a string using the map() function.
import Foundation let numbers = [1, 2, 3, 4, 5, 6, 7] let numbersInString = numbers.map { number in String(number) } print("numbersInString: \(numbersInString)")
Output
It will produce the following output −
numbersInString: ["1", "2", "3", "4", "5", "6", "7"]
The compactMap() Function
Iterating through the elements in an array, compactMap() returns an updated array only containing elements that satisfy the condition stated within its body. The array will be updated without any elements that result in a nil value. Or we can say that the compactMap() loops through all the elements in the array and returns non-nil values.
Syntax
Following is the syntax of the compactMap() function −
Func compactMap<ElementOfResult>(_ mTransform: (Self.Element) throws -> ElementOfResult?) rethrows -> [ElementOfResult]
Parameter
The mTransform is a closure. It accepts elements from the given sequence and returns an optional value.
Return Value
It will return a transformed array of non-nil values.
Example
Swift program to convert string array to an integer array using the comapctMap() function.
import Foundation let numbersInString = ["1", "x2", "3", "4", nil, "five5"] let validNumbers = numbersInString.compactMap { stringValue in Int(stringValue ?? "") } print("validNumbers: \(validNumbers)")
Output
It will produce the following output −
validNumbers: [1, 3, 4]
The flatMap() Function
The flatMap() function allows us to transform a set of arrays into a single set that contains all of the elements. It concatenates the elements of specified collections into a resultant collection.
Syntax
Following is the syntax of the flatMap() function −
func map<SegmentOfResult>(_ mTransform: (Self.Element) throws -> SegmentOfResult) rethrows -> [SegmentOfResult.Element] where SegmentOfResult : Sequence
Parameter
The mTransform is a closure. It accepts elements from the given sequence and returns a sequence.
Return Value
It will return a flattened array.
Example
Swift program to convert a multi-dimensional array into a one-dimensional array using the flatMap() function.
import Foundation let marks = [[3, 4, 5], [2, 5, 3], [1, 2, 2], [5, 5, 4], [3, 5, 3]] let allMarks = marks.flatMap { marksArray -> [Int] in marksArray } print("allMarks: \(allMarks)")
Output
It will produce the following output −
allMarks: [3, 4, 5, 2, 5, 3, 1, 2, 2, 5, 5, 4, 3, 5, 3]
The filter() Function
The filter() will iterate through all elements in an array and will return an updated array only with the elements that satisfy the condition written inside the body of the filter. It is an essential function. While you write code, many times you need to filter out collections to produce a filtered collection based on a condition.
The return type of the closure is a Bool value; items in the resulting array are those that satisfy the condition inside the body;
Syntax
Following is the syntax of the filter() function −
func filter(_ resultantCollection: (Self.Element) throws -> Bool) rethrows -> Self
Parameter
The resultantCollection is a closure. It accepts elements from the given sequence and returns a boolean value which indicates whether the element should included in the resultant collection or not.
Return Value
It will return a collection that contains only those items that satisfy the condition inside the body.
Example
Swift program to display only positive numbers from the given array using the filter() function.
import Foundation let numbers = [-12, 23, -1, 56, 9, -2, 0, 14, 8] let positives = numbers.filter { number in number > 0 } print("positives: \(positives)")
Output
It will produce the following output −
positives: [23, 56, 9, 14, 8]
The reduce() Function
The reduce() function will iterate through all elements in an array and return an object with the combined value of all elements.
Syntax
Following is the syntax of the reduce() function −
func reduce<Result>(_initialRes: Result, _nestRes: (Result, Self.Element) throws -> T) rethrows -> Result) rethrows->Result
Parameter
This function takes two parameters −
The parameter initialRes is used to store initial accumulating value which is further passed to the nextRes at the first time the closure is executed.
The nextRes is a closure that is used to combine accumulating value and an element of the sequence into a new accumulating value, which is further used in the next call of the nextRes closure.
Return Value
It will return the final value. Or if the sequence contains no items then it will return initialRes.
Example
Swift program to find the sum of the array elements using the reduce() function.
import Foundation let numbers = [1, 5, 2, 10, 6] let sum = numbers.reduce(0) { (result, number) -> Int in result + number } print("sum:", sum)
Output
It will produce the following output −
sum: 24
The sort() Function
The sort() function will sort all elements of the given collection in ascending order. It can also sort elements in descending order.
Syntax
Following is the syntax of the sort() function −
func sort()
Parameter
It does not take any parameters.
Return Value
It will return a sorted collection.
Example
Swift program to sort the elements of the array using the sort() function.
import Foundation var numbers = [1, 5, 2, 10, 6] numbers.sort() print("Sorted numbers: \(numbers)")
Output
It will produce the following output −
Sorted numbers: [1, 2, 5, 6, 10]
The sorted() Function
The sorted() function will sort all elements according to the condition written inside the body of the closure and return a new sorted array. It can sort elements in ascending and descending order.
Syntax
Following is the syntax of the sorted() function −
func sorted()
Parameter
It does not take any parameters.
Return Value
It will return a sorted collection.
Example
Swift program to sort the elements of the array using the sorted() function.
import Foundation var numbers = [1, 5, 2, 10, 6] let sorted_values = numbers.sorted() print("Sorted numbers: \(sorted_values)")
Output
It will produce the following output −
Sorted numbers: [1, 2, 5, 6, 10]