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eofs only requires the NumPy package (and setuptools to install).
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In order to use the meta-data preserving interfaces one (or both) of [iris](http://scitools.org.uk/iris) or [xarray](http://xarray.pydata.org) is needed.
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In order to use the meta-data preserving interfaces one (or both) of [iris](https://scitools-iris.readthedocs.io) or [xarray](https://docs.xarray.dev/en/stable) is needed.
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Documentation
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-------------
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Documentation is available [online](http://ajdawson.github.io/eofs).
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Documentation is available [online](https://ajdawson.github.io/eofs).
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The package docstrings are also very complete and can be used as a source of reference when working interactively.
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Citation
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--------
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If you use eofs in published research, please cite it by referencing the [peer-reviewed paper](http://doi.org/10.5334/jors.122).
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You can additionally cite the [Zenodo DOI](http://dx.doi.org/10.5281/zenodo.46871) if you need to cite a particular version (but please also cite the paper, it helps me justify my time working on this and similar projects).
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If you use eofs in published research, please cite it by referencing the [peer-reviewed paper](https://doi.org/10.5334/jors.122).
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You can additionally cite the [Zenodo DOI](https://dx.doi.org/10.5281/zenodo.46871) if you need to cite a particular version (but please also cite the paper, it helps me justify my time working on this and similar projects).
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Installation
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------------
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eofs works on Python 3 on Linux, Windows or MacOS.
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The easiest way to install eofs is by using [conda](http://conda.pydata.org/docs/) or pip:
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The easiest way to install eofs is by using [conda](https://docs.conda.io/en/latest/) or pip:
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