pycolorbar 0.1.4

YAML-based colormap & colorbar settings for matplotlib and xarray

Welcome to pycolorbar

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Slack | Docs

pycolorbar offers a simple and intuitive interface to define, save, and load colormaps and colorbar configurations. It is designed to be used in combination with matplotlib, but it can also be used with other libraries such as cartopy, xarray and geopandas.

Please read the software documentation available at https://pycolorbar.readthedocs.io/en/latest/ and try out the Jupyter Notebook Tutorials

🛠️ 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, see the documentation.

conda

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.

💭 Feedback and Contributing Guidelines

If you aim to contribute your data or discuss the future development of pycolorbar, we highly suggest to join the Slack Workspace

Feel free to also open a GitHub Issue or a GitHub Discussion specific to your questions or ideas.

Citation

If you are using pycolorbar in your publication please cite our Zenodo repository:

Ghiggi Gionata. ghiggi/pycolorbar. Zenodo.

If you want to cite a specific version, have a look at the Zenodo site.

License

The content of this repository is released under the terms of the MIT license.