RajeshManam / iris

A powerful, easy to use, and community-driven Python library for analysing and visualising meteorological and oceanographic data sets.

Home Page:http://scitools.org.uk/iris/

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Iris

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(C) British Crown Copyright 2010 - 2017, Met Office

Iris is a powerful, easy to use, community-driven Python library for analysing and visualising meteorological and oceanographic data sets.

Installation

Provided all of the dependencies are satisfied, Iris can be installed using the following command:

python setup.py install

For more detailed instructions, including details of the dependencies, please see INSTALL.

What's new

A discussion of recent changes is given by the "What's new" document:

If you need complete detail, then please refer to the commit history of the Iris project on GitHub:

Documentation

The full documentation for Iris, including a user guide, example code, and gallery, is online at:

Copyright and licence

(C) British Crown Copyright 2010 - 2017, Met Office

This file is part of Iris.

Iris is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

Iris is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public License along with Iris. If not, see http://www.gnu.org/licenses/.

About

A powerful, easy to use, and community-driven Python library for analysing and visualising meteorological and oceanographic data sets.

http://scitools.org.uk/iris/

License:GNU Lesser General Public License v3.0


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