Opinionated xarray accessor for choosing colormaps
Project description
xcmocean
xarray accessor for automating choosing colormaps, aimed at geosciences. Documentation at: https://xcmocean.readthedocs.io.
Also optional dependence on cf-xarray
.
<small>Project based on the cookiecutter science project template.</small>
Installation:
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
.
Example usage:
import xcmocean
ds.salt.cmo.contourf(x='lon', y='lat')
which would make a contourf
plot of the ds.salt
data using the cmocean
haline
colormap. More examples in the docs.
Dev installation for local work
Clone the repo:
$ git clone https://github.com/pangeo-data/xcmocean.git
In the 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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