SwiftCSV

swiftcsv

简单的CSV解析MacOS，iOS，TVOS和WatchOS。

用法

CSV内容可以使用CSV类加载：

import SwiftCSV

do {
    // As a string, guessing the delimiter
    let csv : CSV = try CSV < Named > ( string : " id,name,age n 1,Alice,18 " )

    // Specifying a custom delimiter
    let tsv : CSV = try CSV < Enumerated > ( string : " id t name t age n 1 t Alice t 18 " , 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
}

文件加载

CSV类带有适用于从URL加载文件的初始化器。

 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 )
}

定界符

分界符是强烈键入的。公认的CSVDelimiter病例是： .comma ， .semicolon和.tab 。

您可以使用便利性初始化器为您猜测定界符的识别列表。这些初始化器可用于从URL和字符串加载CSV。

加载CSV数据时，您也可以使用任何其他单字符定界符。诸如"x"之类的字符将产生CSV.Delimiter.character("x") ，因此您不必键入整个.character(_)案例名称。每个变体都有一个接受明确定界符设置的初始化器。

阅读数据

// Recognized the comma delimiter automatically:
let csv = CSV < Named > ( string : " id,name,age n 1,Alice,18 n 2,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"]]

这些行还可以解析并传递到飞行中的一个街区，从而减少了将整个批次存储在数组中所需的内存：

// 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 " ] )
}

跳过命名列访问大型数据集

使用CSV<Named> aka NamedCSV以列指定列的列基础访问CSV数据。认为这是一个横截面：

 let csv = NamedCSV ( string : " id,name,age n 1,Alice,18 n 2,Bob,19 " )
csv . rows [ 0 ] [ " name " ]  //=> "Alice"
csv . columns [ " name " ]  //=> ["Alice", "Bob"]

如果您只想访问数据行，而不是副柱子，则可以使用CSV<Enumerated>或EnumeratedCSV ：

 let csv = EnumeratedCSV ( string : " id,name,age n 1,Alice,18 n 2,Bob,19 " )
csv . rows [ 0 ] [ 1 ]          //=> "Alice"
csv . columns ? [ 0 ] . header  //=> "name"
csv . columns ? [ 0 ] . rows    //=> ["Alice", "Bob"]

为了加快速度，通过通过loadColumns: false 。这将防止柱状数据被填充。对于大型数据集，这节省了很多迭代（在二次运行时）。

 let csv = EnumeratedCSV ( string : " id,name,age n 1,Alice,18 n 2,Bob,19 " , loadColumns : false )
csv . rows [ 0 ] [ 1 ]  //=> "Alice"
csv . columns     //=> nil

安装

可可录

 pod "SwiftCSV"

迦太基

 github "swiftcsv/SwiftCSV"

SwiftPM

 .package(url: "https://github.com/swiftcsv/SwiftCSV.git", from: "0.8.0")

隐私清单

该包具有空隐私清单，因为它无法访问或跟踪任何敏感数据。