CSV

Parse and serialize CSV data

While this is the csv driver, any format that CSV.jl can work with is supported (as this is merely a thin layer around CSV.jl)

Input/output

The csv driver expects data to be provided via IO.

By default this driver announces support for parsing to three data types:

  • DataFrame
  • Matrix
  • CSV.File

Other Tables compatible types are of course supported, and can be used directly (i.e. without having to use the CSV.File result) by specifying the type with the type transformer keyword.

When writing, any type compatible with CSV.write can be used directly, to any storage backend supporting IO.

Required packages

  • CSV

Parameters

  • args: keyword arguments to be provided to CSV.File, see https://csv.juliadata.org/stable/reading.html#CSV.File.

As a quick-reference, some arguments of particular interest are:

  • header: Either,

    • the row number to parse for column names
    • the list of column names

  • delim: the column delimiter

  • types: a single type, or vector of types to be used for the columns

Usage examples

[[iris.loader]]
driver = "csv"

    [iris.loader.args]
    key = value...