Orange3 add-on for exploring time series and sequential data.
Project description
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)
[statsmodels](http://www.lfd.uci.edu/~gohlke/pythonlibs/#statsmodels)
To register this add-on with Orange, run
python setup.py install
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