Raccoon

Raccoon is a data manipulation and analysis library written in Swift. The goal of this library is to be a simplified, strongly typed version of Pandas.

Requirements

• iOS 11.0+
• Xcode 9.0

Installation

Raccoon is available through CocoaPods. To install it, simply add the following line to your Podfile:

pod "Raccoon"

Usage

Series

A Series is a one dimensional labeled array much like an ordered dictionary. Currently Series can contain Int, Float or String as values. Label's can be any Hashable, Equatable type.

let series = try! Series([1, 2, 3], labels: ["first", "second", "third"])
series["first"] //1
series["third"] //3

Series supports slicing.

var series = try! Series([1, 2, 3, 4, 5])
series[1..<3] = try! SeriesSlice([20, 30])
series[1] //20
series[2] //30 

let series = try! Series([1, 2, 3, 4, 5], labels: ["a", "b", "c", "d", "e"])
let slice = series["b"..<"d"]!
slice["b"] //2
slice["c"] //3

Series supports vector operations

let series1 = try! Series([1, 2, 3])
let series2 = try! Series([4, 5, 6])
let sum = series1 + series2 //Series([5, 7, 9])

DataFrame

A DataFrame is a two dimensional labeled data structure with columns of potentially different types. DataFrame supports indexing.

let series = try! Series([1, 2, 3], name: 0)
let df = try! DataFrame(series: series)
let result: Series<Int, Int, Int>? = df[0] //Series([1, 2, 3])

DataFrame supports vector arithmetic on columns.

let series1 = try! Series([1, 2, 3], name: 0)
let series2 = try! Series([4, 5, 6], name: 1)
let columns = [series1, series2].map (DataFrame.Column.init)
let df = try! DataFrame(columns: columns)
let result: Series<Int, Int, Int> = df[0]! + df[1]! //Series([5, 7, 9])

Author

Tyler Casselman, tyler@13bit.io

License

Raccoon is available under the MIT license. See the LICENSE file for more info.