You could use the higher order functions filter() or reduce(). @ShawnFrank already gave an answer using filter(). (voted.)
For a small number of items, there isn't a big difference between filter() and reduce(). For large datasets, though, filter creates a second array containing all the items that match the filter criteria. Arrays are value types, so they hold copies of the entries they contain. This would increase the memory footprint needed to do the counting. (You'd have the original array and a copy containing all the matching elements in memory).
The higher order function reduce() works differently. it takes a starting value (a total starting at 0 in our case) for the result, and a closure. The closure takes the current result, and an element from the array you are parsing. At runtime, the reduce() function calls your closure over and over, passing in each element from the array you are reducing. In the first call to the closure, it sends the closure the initial value for result (a zero total, in our case.) In each subsequent call to the closure, it passes the result of the previous call. (The running total, for our implementation.) The reduce() function returns the result returned by the last call to your closure.
You can use reduce to count the number of items that match a given test without having to build a temporary array. Below is a sample implementation using reduce(). Note that I tweaked your PlayerStock type to add default values for all the properties other than productName since I don't care about those.
// Define the PlayerStock type, but use default values for everything but `productName`
struct PlayerStock: Codable, Identifiable {
var id: String? = nil
var productName: String
var qty: Int = Int.random(in: 1...10)
var saleUID: String = ""
var totalPrice: Int = Int.random(in: 10...200)
var uid: String = ""
var unitPrice: Int = Int.random(in: 10...200)
}
// Create an array of test data
let players = [
PlayerStock(productName: "smartphone"),
PlayerStock(productName: "CD Player"),
PlayerStock(productName: "laptop"),
PlayerStock(productName: "CD Player"),
PlayerStock(productName: "smartphone"),
PlayerStock(productName: "laptop"),
PlayerStock(productName: "smartphone"),
PlayerStock(productName: "boom box"),
PlayerStock(productName: "laptop"),
PlayerStock(productName: "smartphone"),
]
/// This is a function that counts and returns the number of PlayerStock items who's productName property matches a the string nameToFind.
/// If you pass in printResult = true, it logs its result for debugging.
/// - Parameter nameToFind: The `productName` to search for
/// - Parameter inArray: The array of `PlayerStock` items to search
/// - Parameter printResult: a debugging flag. If true, the function prints the count if items to the console. Defaults to `false`
/// - Returns: The number of `PlayerStock` items that have a `productName` == `nameToFind`
@discardableResult func countPlayers(nameToFind: String, inArray array: [PlayerStock], printResult: Bool = false) -> Int {
let count = array.reduce(0, { count, item in
item.productName == nameToFind ? count+1 : count
})
if printResult {
print("Found \(count) players with productName == \(nameToFind)")
}
return count
}
let smartphoneCount = countPlayers(nameToFind: "smartphone", inArray: players, printResult: true)
let laptopCount = countPlayers(nameToFind: "laptop", inArray: players, printResult: true)
let cdPlayerCount = countPlayers(nameToFind: "CD Player", inArray: players, printResult: true)
This sample code produces the following output:
Found 4 players with productName == smartphone
Found 3 players with productName == laptop
Found 2 players with productName == CD Player
filterto filter the array by the product you wish and then count the elements in the array. Orreduceis another option.var laptopTotal = playerStock.filter { $0.productName == "laptop" }.count- something like this