YAML-based colormap & colorbar settings for matplotlib and xarray
Project description
Welcome to pycolorbar
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The pycolorbar is still in development. Feel free to try it out and to report issues or to suggest changes.
Quick start
pycolorbar provides a way to define colormaps and colorbar settings for later use in matplotlib or xarray.
Look at the Tutorials to have an overview of the software !
Installation
pip
pycolorbar can be installed via pip on Linux, Mac, and Windows. On Windows you can install WinPython to get Python and pip running. Then, install the pycolorbar package by typing the following command in the command terminal:
pip install pycolorbar
To install the latest development version via pip, see the [documentation][doc_install_link].
conda [NOT YET AVAILABLE]
pycolorbar can be installed via conda on Linux, Mac, and Windows. Install the package by typing the following command in a command terminal:
conda install pycolorbar
In case conda forge is not set up for your system yet, see the easy to follow instructions on conda forge.
Documentation for pycolorbar
You can find the documentation under [pycolorbar.readthedocs.io][doc_link]
Tutorials and Examples
The documentation also includes some tutorials, showing the most important use cases of pycolorbar. These tutorial are also available as Jupyter Notebooks and in Google Colab:
Citation
If you are using pycolorbar in your publication please cite our paper:
TODO: GMD
You can cite the Zenodo code publication of pycolorbar by:
Ghiggi Gionata & XXXX . ghiggi/pycolorbar. Zenodo. https://doi.org/10.5281/zenodo.8131552
If you want to cite a specific version, have a look at the Zenodo site.
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License
The content of this repository is released under the terms of the MIT license.
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