kantan.csv.ops

Provides syntax for decoding CSV cells as values.

Importing kantan.csv.ops._ will add the following methods to String:

• decodeCsv
• unsafeDecodeCsv

Provides syntax for encoding values as CSV cells.

Importing kantan.csv.ops._ will add asCsvCell to any type A such that there exists an implicit CellDecoder[A] in scope.

Provides syntax for decoding CSV rows as values.

Importing kantan.csv.ops._ will add the following methods to Seq[String]:

• decodeCsv
• unsafeDecodeCsv

Provides syntax for encoding values as CSV rows.

Importing kantan.csv.ops._ will add asCsvRow to any type A such that there exists an implicit RowEncoder[A] in scope.

Provides syntax for decoding a string as a CSV row.

Provides syntax for encoding single CSV rows as a string.

Writing a single row as a String is a surprisingly recurrent feature request. This is how to do it:

scala> import kantan.csv.rfc

scala> (1, 2, 3).writeCsvRow(rfc)
res0: String = 1,2,3

Provides syntax for turning collections into CSV strings.

Provides useful syntax for types that have implicit instances of CsvSink in scope.

The most common use case is to turn a value into a CsvWriter:

 val f: java.io.File = ???
 f.asCsvWriter[List[Int]](',', true)

A slightly less common use case is encode an entire collection to CSV:

 val f: java.io.File = ???
 f.writeCsv[List[Int]](List(List(1, 2, 3), List(4, 5, 6)), ',', true)

Provides useful syntax for types that have implicit instances of CsvSource in scope.

The most common use case is to turn a value into a CsvReader:

scala> import kantan.csv._

scala> "1,2,3\n4,5,6".asCsvReader[List[Int]](rfc).toList
res0: List[ReadResult[List[Int]]] = List(Right(List(1, 2, 3)), Right(List(4, 5, 6)))

A slightly less common use case is to load an entire CSV file in memory:

scala> "1,2,3\n4,5,6".readCsv[List, List[Int]](rfc)
res1: List[ReadResult[List[Int]]] = List(Right(List(1, 2, 3)), Right(List(4, 5, 6)))

Unsafe versions of these methods are also available, even if usually advised against.