TabularData

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Import, organize, and prepare a table of data to train a machine learning model.

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TabularData framework lets you import, organize, and export a table of data. It’s great when you’re training a machine learning model but it’s a handy tool in many other scenarios as well. General: DevForums tag: TabularData TabularData framework documentation Explore and manipulate data in Swift with TabularData tech talk For a ‘hello world’ style example, see this DevForums post Share and Enjoy — Quinn “The Eskimo!” @ Developer Technical Support @ Apple let myEmail = "eskimo" + "1" + "@" + "apple.com"
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Mar ’23
Help Loading an External CSV File on iOS in Swift
Hi everyone! I’m fairly new to Swift and currently working on a small iOS app in SwiftUI. The app is able to load a CSV file embedded in the Xcode project (using Bundle.main.path(forResource:)), and everything works well with that. Now, I want to take it a step further by allowing the app to load an external CSV file located in the iPhone’s directories (like “Documents” or “Downloads”). However, I’m struggling to make it work. I tried using a DocumentPicker to select the CSV file, and I believe I’m passing the file URL correctly, but the app keeps reading only the embedded file instead of the one selected by the user. Could anyone offer guidance on how to properly set up loading an external CSV file? I’m still learning, so any suggestions or examples would be really appreciated! Thanks a lot in advance for the help! Here’s the code that isn’t working as expected: import Foundation struct Product: Identifiable { let id = UUID() var codice: String var descrizione: String var prezzo: Double var installazione: Double var trasporto: Double } class ProductViewModel: ObservableObject { @Published var products: [Product] = [] @Published var filteredProducts: [Product] = [] func loadCSV(from url: URL) { products = [] do { let data = try String(contentsOf: url) let lines = data.components(separatedBy: "\n") // Legge e processa ogni riga del CSV (saltando la prima riga se è l'intestazione) for line in lines.dropFirst() { let values = line.components(separatedBy: ";") // Assicurati che ci siano abbastanza colonne e gestisci i valori mancanti if values.count >= 5 { let codice = values[0].trimmingCharacters(in: .whitespaces) let descrizione = values[1].trimmingCharacters(in: .whitespaces) let prezzo = parseEuropeanDouble(values[2]) ?? 0.0 let installazione = parseEuropeanDouble(values[3].isEmpty ? "0,00" : values[3]) ?? 0.0 let trasporto = parseEuropeanDouble(values[4].isEmpty ? "0,00" : values[4]) ?? 0.0 let product = Product( codice: codice, descrizione: descrizione, prezzo: prezzo, installazione: installazione, trasporto: trasporto ) products.append(product) } } filteredProducts = products } catch { print("Errore nel caricamento del CSV: \(error)") } } private func parseEuropeanDouble(_ value: String) -> Double? { let formatter = NumberFormatter() formatter.locale = Locale(identifier: "it_IT") formatter.numberStyle = .decimal return formatter.number(from: value)?.doubleValue } } struct ContentView: View { @StateObject var viewModel = ProductViewModel() @State private var showFilePicker = false var body: some View { VStack { Button("Carica file CSV") { showFilePicker = true } .fileImporter(isPresented: $showFilePicker, allowedContentTypes: [.commaSeparatedText]) { result in switch result { case .success(let url): viewModel.loadCSV(from: url) case .failure(let error): print("Errore nel caricamento del file: \(error.localizedDescription)") } } List(viewModel.filteredProducts) { product in VStack(alignment: .leading) { Text("Codice: \(product.codice)") Text("Descrizione: \(product.descrizione)") Text("Prezzo Lordo: €\(String(format: "%.2f", product.prezzo))") Text("Installazione: €\(String(format: "%.2f", product.installazione))") Text("Trasporto: €\(String(format: "%.2f", product.trasporto))") } } } .padding() } }
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CSV File Load Into Swift
Hi, I am fairly new Xcode/Swift and am trying to load a CSV File for use in my development. I have placed the CSV file in my Assets folder but when I try to create my Data Model and load the CSV file. I run into the error: No exact matches in call to initializer. Below is the code. I have attached CSV File. Any help fixing this error would be greatly appreciated. Thanks in advance for your help. Brian Hospital_Demographic_Data_Sample.csv import Foundation import CSV struct HospitalData: Codable { let providerNumber: String let hospital: String let address: String let city: String let state: String let zip: String let wageIndex: Double let caseMix: Double let averageCharge: Double let discharges: Int let totalCharges: Double let adjTotalCharges: Double // Add other fields as needed based on the columns in your CSV file } func loadHospitalData() -> [HospitalData]? { guard let filePath = Bundle.main.path(forResource: "Hospital_Demographic_Data", ofType: "csv") else { print("File not found") return nil } do { let csv = try CSV(url: URL(fileURLWithPath: filePath)) var hospitalDataList = [HospitalData]() // Initialize as an empty array for row in csv.namedRows { if let providerNumber = String(row["Provider CCN"] ?? ""), // Replace "Provider CCN" with actual column name let hospital = String(row["Hospital Name"] ?? ""), // Replace with actual column name let address = String(row["Street Address"] ?? ""), let city = String(row["City"] ?? ""), // Replace with actual column name let state = String(row["State Code"] ?? ""), // Replace with actual column name let zip = String(row["Zip Code"] ?? ""), // Replace with actual column name let wageIndex = Double(row["Wage Index"] ?? ""), let caseMix = Double(row["Case Max"] ?? ""), let averageCharge = Double(row["Base Charge"] ?? ""), // Replace with actual column name let discharges = Int(row["Medicare Discharges"] ?? ""), let totalCharges = Double(row["Total Charges"] ?? ""), let adjTotalCharges = Double(row["Total Wage Normalized Charges"] ?? "") { // Replace with actual column name let hospitalData = HospitalData( providerNumber: providerNumber, hospital: hospital, address: address, city: city, state: state, zip: zip, wageIndex: wageIndex, caseMix: caseMix, averageCharge: averageCharge, discharges: discharges, totalCharges: totalCharges, adjTotalCharges: adjTotalCharges ) hospitalDataList.append(hospitalData) } } return hospitalDataList } catch { print("Failed to load CSV file: \(error)") return nil } } // Usage Example func main() { if let hospitalData = loadHospitalData() { for data in hospitalData { print("Hospital: (data.hospital), City: (data.city), Average Charge: (data.averageCharge)") } } }
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Aug ’24
FB13516799: Training Tabular Regression ML Models on large datasets in Xcode 15 continuously "Processing"
Hi, In Xcode 14 I was able to train linear regression models with Create ML using large CSV files (I tested on about 30000 items and 5 features): However, in Xcode 15 (I tested on 15.0.1 and 15.1), the training continuously stays in the "Processing" state: When using a dataset with 900 items, everything works fine. I filed a feedback for this issue: FB13516799. Does anybody else have this issue / can reproduce it?
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1k
Jan ’24
Is there a way to apply for formatting option to a Dataframe column outside of the explicit description(options:) method?
I'm building up a data frame for the sole purpose of using that lovely textual grid output. I'm getting output without any issue, but I'm trying to sort out how I might apply a formatter to a specific column so that print(dataframeInstance) "just works" nicely. In my use case, I'm running a function, collecting its output - appending that into a frame, and then using TabularData to get a nice output in a unit test, so I can see the patterns within the output. I found https://developer.apple.com/documentation/tabulardata/column/description(options:), but wasn't able to find any way to "pre-bind" that to a dataframe Column when I was creating it. (I have some double values that get a bit "excessive" in length due to the joys of floating point rounding) Is there a way of setting a formatter on a column at creation time, or after (using a property) that could basically use the same pattern as that description method above?
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Nov ’23