1Orange3-Timeseries 2================== 3 4[![Discord Chat](https://img.shields.io/discord/633376992607076354)](https://discord.gg/FWrfeXV) 5[![Build Status](https://travis-ci.org/biolab/orange3-timeseries.svg?branch=master)](https://travis-ci.org/biolab/orange3-timeseries) 6[![codecov](https://codecov.io/gh/biolab/orange3-timeseries/branch/master/graph/badge.svg)](https://codecov.io/gh/biolab/orange3-timeseries) 7[![Documentation Status](https://readthedocs.org/projects/orange3-timeseries/badge/?version=latest)](http://orange3-timeseries.readthedocs.org/en/latest/?badge=latest) 8 9Orange add-on for analyzing, visualizing, manipulating, and forecasting time 10series data. 11 12**License: CC-BY-NC-3.0** 13 14In order to use this package commercially, please obtain a [Highcharts] license. 15 16[Highcharts]: http://www.highcharts.com/ 17 18Package documentation: http://orange3-timeseries.readthedocs.io/ 19 20Installing 21---------- 22 23### Via Add-on Dialogue 24 25Go to Options - Add-ons in Orange, select Timeseries from the list of add-on and install. Restart Orange for the add-on to appear. 26 27### With Anaconda 28 29The easiest way to install Orange3-Timeseries on a non-GNU/Linux system is 30with [Anaconda] distribution for your OS (Python version 3.5). 31In your Anaconda Prompt, first add conda-forge to your channels: 32 33 conda config --add channels conda-forge 34 35Then install Orange3: 36 37 conda install orange3 38 39This will install the latest release of Orange. Then install Orange3-Timeseries: 40 41 conda install Orange3-Timeseries 42 43Run: 44 45 orange-canvas 46 47to open Orange and check if everything is installed properly. 48 49 50[Anaconda]: https://www.continuum.io/downloads 51 52### From source 53 54To install the add-on from source 55 56 # Clone the repository and move into it 57 git clone https://github.com/biolab/orange3-timeseries.git 58 cd orange3-timeseries 59 60 # Install corresponding wheels for your OS: 61 pip install some-wheel.whl 62 63 # Install Orange3-Timeseries in editable/development mode. 64 pip install -e . 65 66 - [numpy+mkl](http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy) 67 - [scipy](http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy) 68 - [statsmodels](http://www.lfd.uci.edu/~gohlke/pythonlibs/#statsmodels) 69 70To register this add-on with Orange, run 71 72 python setup.py install 73