Load IPCC cmaps (e.g., cmap="ipcc.prec_div"). A standalone script to load the IPCC continuous color maps listed in https://github.com/IPCC-WG1/colormaps/tree/master. Simply import this script to load the cmaps and access as cmap='ipcc.prec_div' for example.

ipcc_cmaps.py

def get_github_filesystem():
    import fsspec

    fs = fsspec.filesystem('github', org='IPCC-WG1', repo='colormaps')

    return fs


def get_cmap(cmap_name, folder='continuous_colormaps_rgb_0-1'):
    import numpy as np

    fs = get_github_filesystem()

    try:
        cmap_file = fs.open(f'{folder}/{cmap_name}.txt')
    except FileNotFoundError:
        cmap_flist = get_continuous_cmap_flist(folder)
        raise FileNotFoundError(
            f'Colormap {cmap_name} not found in folder {folder}, '
            f'available colormaps are: {cmap_flist}')
    
    rgb_data_in_the_txt_file = np.loadtxt(cmap_file)

    # create the colormap
    cmap_name = f'ipcc.{cmap_name}'
    cmap = make_cmap_from_list(cmap_name, rgb_data_in_the_txt_file)

    return cmap


def make_cmap_from_list(name, array):
    import matplotlib.colors as mcolors
    from matplotlib import pyplot as plt

    cmap = mcolors.LinearSegmentedColormap.from_list(name, array)
    # register this new colormap with matplotlib cm
    try:
        plt.register_cmap(name, cmap=cmap)
    except ValueError:
        pass
    return cmap


def get_continuous_cmap_flist(folder):

    fs = get_github_filesystem()

    flist = fs.glob(f'{folder}/*.txt')

    cmap_list = [f.split('/')[-1].split('.')[0] for f in flist]

    return cmap_list


_git_folder = 'continuous_colormaps_rgb_0-1'
cmap_list = get_continuous_cmap_flist(_git_folder)
_cmap_dict = {name: get_cmap(name, folder=_git_folder) for name in cmap_list}

locals().update(_cmap_dict)