Opinionated xarray accessor for choosing colormaps
xarray accessor for automating choosing colormaps, aimed at geosciences. Documentation at: https://xcmocean.readthedocs.io.
Also optional dependence on
<small>Project based on the cookiecutter science project template.</small>
You can pip install direct from this github repo. This is probably the easiest way to do install at the moment.
pip install git+git://github.com/pangeo-data/xcmocean
It is also now available on PyPI so you can simply
pip install xcmocean.
import xcmocean ds.salt.cmo.contourf(x='lon', y='lat')
which would make a
contourf plot of the
ds.salt data using the
haline colormap. More examples in the docs.
Dev installation for local work
Clone the repo:
$ git clone https://github.com/pangeo-data/xcmocean.git
xcmocean directory, install conda environment:
$ conda env create -f environment.yml
To also develop this package, install additional packages with:
$ conda install --file requirements-dev.txt
To then check code before committing and pushing it to github, locally run
$ pre-commit run --all-files
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