Orange3-Timeseries 0.3.1

Orange3 add-on for exploring time series and sequential data.

Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.

License: CC-BY-NC-3.0

In order to use this package commercially, please obtain a [Highcharts] license.

[Highcharts]: http://www.highcharts.com/

Package documentation: http://orange3-timeseries.readthedocs.io/

Installing

### With Anaconda

The easiest way to install Orange3-Timeseries on a non-GNU/Linux system is with [Anaconda] distribution for your OS (Python version 3.5). In your Anaconda Prompt, first add conda-forge to your channels:

conda config –add channels conda-forge

Then install Orange3:

conda install orange3

This will install the latest release of Orange. Then install Orange3-Timeseries:

pip install Orange3-Timeseries

Run:

orange-canvas

to open Orange and check if everything is installed properly.

[Anaconda]: https://www.continuum.io/downloads

### From source

To install the add-on from source

# Clone the repository and move into it git clone https://github.com/biolab/orange3-timeseries.git cd orange3-timeseries

# Install corresponding wheels for your OS: pip install some-wheel.whl

# Install Orange3-Timeseries in editable/development mode. pip install -e .

• [numpy+mkl](http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy)

• [scipy](http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy)

• [statsmodels](http://www.lfd.uci.edu/~gohlke/pythonlibs/#statsmodels)

To register this add-on with Orange, run

python setup.py install