Simple CSV parsing for macOS, iOS, tvOS, and watchOS.
CSV content can be loaded using the CSV class:
import SwiftCSV
do {
// As a string, guessing the delimiter
let csv: CSV = try CSV<Named>(string: "id,name,age\n1,Alice,18")
// Specifying a custom delimiter
let tsv: CSV = try CSV<Enumerated>(string: "id\tname\tage\n1\tAlice\t18", delimiter: .tab)
// From a file (propagating error during file loading)
let csvFile: CSV = try CSV<Named>(url: URL(fileURLWithPath: "path/to/users.csv"))
// From a file inside the app bundle, with a custom delimiter, errors, and custom encoding.
// Note the result is an optional.
let resource: CSV? = try CSV<Named>(
name: "users",
extension: "tsv",
bundle: .main,
delimiter: .character("🐠"), // Any character works!
encoding: .utf8)
} catch parseError as CSVParseError {
// Catch errors from parsing invalid CSV
} catch {
// Catch errors from trying to load files
}The CSV class comes with initializers that are suited for loading files from URLs.
extension CSV {
/// Load a CSV file from `url`.
///
/// - Parameters:
/// - url: URL of the file (will be passed to `String(contentsOfURL:encoding:)` to load)
/// - delimiter: Character used to separate separate cells from one another in rows.
/// - encoding: Character encoding to read file (default is `.utf8`)
/// - loadColumns: Whether to populate the columns dictionary (default is `true`)
/// - Throws: `CSVParseError` when parsing the contents of `url` fails, or file loading errors.
public convenience init(url: URL,
delimiter: CSVDelimiter,
encoding: String.Encoding = .utf8,
loadColumns: Bool = true) throws
/// Load a CSV file from `url` and guess its delimiter from `CSV.recognizedDelimiters`, falling back to `.comma`.
///
/// - Parameters:
/// - url: URL of the file (will be passed to `String(contentsOfURL:encoding:)` to load)
/// - encoding: Character encoding to read file (default is `.utf8`)
/// - loadColumns: Whether to populate the columns dictionary (default is `true`)
/// - Throws: `CSVParseError` when parsing the contents of `url` fails, or file loading errors.
public convenience init(url: URL,
encoding: String.Encoding = .utf8,
loadColumns: Bool = true)
}Delimiters are strongly typed. The recognized CSVDelimiter cases are: .comma, .semicolon, and .tab.
You can use convenience initializers that guess the delimiter from the recognized list for you. These initializers are available for loading CSV from URLs and strings.
You can also use any other single-character delimiter when loading CSV data. A character literal like "x" will produce CSV.Delimiter.character("x"), so you don't have to type the whole .character(_) case name. There are initializers for each variant that accept explicit delimiter settings.
// Recognized the comma delimiter automatically:
let csv = CSV<Named>(string: "id,name,age\n1,Alice,18\n2,Bob,19")
csv.header //=> ["id", "name", "age"]
csv.rows //=> [["id": "1", "name": "Alice", "age": "18"], ["id": "2", "name": "Bob", "age": "19"]]
csv.columns //=> ["id": ["1", "2"], "name": ["Alice", "Bob"], "age": ["18", "19"]]The rows can also parsed and passed to a block on the fly, reducing the memory needed to store the whole lot in an array:
// Access each row as an array (inner array not guaranteed to always be equal length to the header)
csv.enumerateAsArray { array in
print(array.first)
}
// Access them as a dictionary
csv.enumerateAsDict { dict in
print(dict["name"])
}Use CSV<Named> aka NamedCSV to access the CSV data on a column-by-column basis with named columns. Think of this like a cross section:
let csv = NamedCSV(string: "id,name,age\n1,Alice,18\n2,Bob,19")
csv.rows[0]["name"] //=> "Alice"
csv.columns["name"] //=> ["Alice", "Bob"]If you only want to access your data row-by-row, and not by-column, then you can use CSV<Enumerated> or EnumeratedCSV:
let csv = EnumeratedCSV(string: "id,name,age\n1,Alice,18\n2,Bob,19")
csv.rows[0][1] //=> "Alice"
csv.columns?[0].header //=> "name"
csv.columns?[0].rows //=> ["Alice", "Bob"]To speed things up, skip populating by-column access completely by passing loadColumns: false. This will prevent the columnar data from being populated. For large data sets, this saves a lot of iterations (at quadratic runtime).
let csv = EnumeratedCSV(string: "id,name,age\n1,Alice,18\n2,Bob,19", loadColumns: false)
csv.rows[0][1] //=> "Alice"
csv.columns //=> nilpod "SwiftCSV"github "swiftcsv/SwiftCSV"
.package(url: "https://github.com/swiftcsv/SwiftCSV.git", from: "0.8.0")
The package ships with an empty Privacy Manifest because it doesn't access or track any sensitive data.