Load and save ARFF files
Author cjdoris
0 Stars
Updated Last
1 Year Ago
Started In
August 2020


Load and save ARFF (Attribute Relation File Format) files.

Integrated into Tables.jl (for easily converting to your favourite table type) and FileIO.jl (for generic file loading).


] add ARFFFiles

Quick start

To load an ARFF file as a DataFrame:

using ARFFFiles, DataFrames
df = ARFFFiles.load(DataFrame, "mytable.arff")

Replace DataFrame with your favourite table type, or leave it out to get a vector of named tuples.

To save any Tables.jl-compatible table:

using ARFFFiles"mytable.arff", df)


  • load(file) loads the table in the given file as a vector of named tuples.
  • load(io, [own=false]) loads the table from the given io stream.
  • load(f, ...) is equivalent to f(loadstreaming(...)) but ensures the file is closed afterwards.
  • loadstreaming(io, [own=false]) returns a ARFFReader object r:
    • r.header contains the header parsed from io.
    • read(r) reads the whole table as a vector of named tuples.
    • read(r, n) reads up to n rows.
    • read!(r, x) reads into the pre-allocated vector x and returns the number of rows read.
    • close(r) closes the underlying io stream, unless own=false.
    • r satisfies the Tables.jl interface, so can be materialized as a table.

Types. Numbers load as Float64, strings as String, dates as DateTime and nominals as CategoricalValue{String} (from CategoricalArrays).

Keyword options.

  • missingcols=true: By default we assume all columns can contain missing data (?). This option controls this behaviour. It can be true, false, a vector or set of symbols, or a function taking a symbol and returning true if that column can contain missings.
  • missingnan=false: Convert missing values in numeric columns to NaN. This is equivalent to excluding these columns in missingcols.
  • categorical=true: When false, nominal columns are converted to String instead of CategoricalValue{String}.


  • save(file, table) saves the Tables.jl-compatible table to file (a filename or IO stream).

Types. Real is saved as numeric, AbstractString as string, DateTime and Date as date, and CategoricalValue{<:AbstractString} as nominal.

Keyword options.

  • relation="data": The relation name.
  • comment: A comment to print at the top of the file.

Used By Packages

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