(Swift) XLSX Convert Sheet to CSV

Open an Excel spreadsheet (.xlsx) and loads a sheet into a CSV object.

Note: This example requires Chilkat v11.3.0 or greater.

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func chilkatTest() {
    var success: Bool = false

    // This example assumes the Chilkat API to have been previously unlocked.
    // See Global Unlock Sample for sample code.

    // .xlsx files are Zip archives
    let zip = CkoZip()!
    success = zip.open("qa_data/excel/fakeCompanies.xlsx")
    if success == false {
        print("\(zip.lastErrorText!)")
        return
    }

    let csv = CkoCsv()!
    let sheetNames = CkoStringTable()!
    success = csv.xlsxGetSheets(zip, sheetNames: sheetNames)
    if success == false {
        print("\(csv.lastErrorText!)")
        return
    }

    if sheetNames.count.intValue == 0 {
        print("There are no sheets in the .xlsx")
        return
    }

    // Get the name of the 1st sheet.
    var sheetName: String? = sheetNames.string(at: 0)

    // Load the 1st sheet into the CSV.
    // We could've also loaded the 1st sheet by passing an empty string for the sheet name.
    success = csv.xlsxLoadSheet(zip, sheetName: sheetName)
    if success == false {
        print("\(zip.lastErrorText!)")
        return
    }

    // The Chilkat CSV API can now be used to read, modify, or insert cells.
    // ...
    // ...

    var csvStr: String? = csv.saveToString()
    print("\(csvStr!)")

    // Sample output:
    // CompanyName,Address,City,State,Zip,Phone
    // Acme Innovations LLC,7428 Westbrook Blvd,Oak Bend,IL,60514,630-555-2398
    // BlueHorizon Data Systems,1850 Crestline Park Suite 210,Rivergate,CA,92814,714-555-8821
    // Pinnacle Manufacturing Corp,3912 Industrial Loop,Maple Ridge,TX,77301,281-555-4477
    // Evergreen Analytics Inc,1250 Highland Terrace,Stonefield,WA,98290,425-555-9914
    // NovaTech Solutions Group,578 Marketview Drive,Clearwater,FL,33760,727-555-6032

    // Save to a .csv file.
    success = csv.saveFile2("c:/temp/qa_output/fakeCompanies.csv", charset: "utf-8")
    if success == false {
        print("\(csv.lastErrorText!)")
        return
    }


}