# TimeSeries.jl [![Latest Documentation](https://img.shields.io/badge/docs-dev-blue.svg)](https://JuliaStats.github.io/TimeSeries.jl/dev) [![Stable Documentation](https://img.shields.io/badge/docs-stable-blue.svg)](https://JuliaStats.github.io/TimeSeries.jl/stable) [![Build Status](https://github.com/JuliaStats/TimeSeries.jl/workflows/CI/badge.svg)](https://github.com/JuliaStats/TimeSeries.jl/actions?query=workflow%3ACI) [![Coverage Status](https://codecov.io/gh/JuliaStats/TimeSeries.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/JuliaStats/TimeSeries.jl) [![Code Style: Blue](https://img.shields.io/badge/code%20style-blue-4495d1.svg)](https://github.com/JuliaDiff/BlueStyle) TimeSeries aims to provide a lightweight framework for working with time series data in Julia. Documentation is provided [here](http://juliastats.github.io/TimeSeries.jl/latest/). ## Installation Assuming that you already have Julia correctly installed, it suffices to import TimeSeries.jl in the standard way: ```julia using Pkg Pkg.add("TimeSeries") ``` ## Examples ```julia using TimeSeries using Dates dates = Date(2018, 1, 1):Day(1):Date(2018, 12, 31) ta = TimeArray(dates, rand(length(dates))) timestamps = DateTime(2018, 1, 1):Hour(1):DateTime(2018, 12, 31) ta = TimeArray(timestamps, rand(length(timestamps))) ```