Colours of Figanos

On this page, we present Figanos colours and colormaps, following the IPCC visual style guide.

%load_ext autoreload
%autoreload 2

import figanos.matplotlib as fg
fg.utils.set_mpl_style('ouranos')

import matplotlib as mpl
import glob
import os
import numpy as np
import json
from matplotlib.patches import Rectangle
from pathlib import Path
from matplotlib import pyplot as plt

ERROR 1: PROJ: proj_create_from_database: Open of /home/docs/checkouts/readthedocs.org/user_builds/figanos/conda/latest/share/proj failed

Colormaps

Figanos tries to guess the colormap based on keywords in the attributes of the data and the divergent argument. Users can also pass the name of a colormap (see options below) directly to the cmap argument. If you want to suggest a new keyword, create an issue on the github repositery.

with open(str(Path(os.getcwd()).parents[1])+ "/figanos/data/ipcc_colors/variable_groups.json") as f:
    var_dict = json.load(f)
for f in np.sort(glob.glob(str(Path(os.getcwd()).parents[1])+ "/figanos/data/ipcc_colors/continuous_colormaps_rgb_0-255/*")):
    name=Path(f).name.replace('.txt','')
    cmap = fg.utils.create_cmap(filename=name)
    fig = plt.figure()
    ax = fig.add_axes([0.05, 0.80, 0.9, 0.1])
    cb = mpl.colorbar.ColorbarBase(ax, orientation='horizontal',
                                   cmap=cmap)
    cb.outline.set_visible(False)
    cb.ax.set_xticklabels([]);
    split=name.split("_")
    var = split[0]+(split[2] if len(split)==3 else '')
    kw= [k for k,v in var_dict.items() if v ==var]
    #plt.title(f"name: {name} \n keywords: {kw}", wrap=True)
    plt.figtext(.5,.95 + (0.04 *int(len(kw)/10)),f"name: {name}", fontsize=15, ha='center')
    plt.figtext(.5,.91,f"keywords: {kw}",fontsize=10,ha='center', wrap=True)

Colours

color_dict = fg.utils.categorical_colors()

keys = np.array(list(color_dict.keys()))
keys = np.array_split(keys, 3)


fig, ax = plt.subplots(figsize=(8,10))
ax.set_ylim(-25,3)
ax.set_xlim(0,12)
ax.set_axis_off()
for colorlist, x in zip(keys, [1, 5.5, 10]):
    for y in np.arange(len(colorlist)):
        ax.text(x, -y, colorlist[y],
                va='bottom', ha='left',
                backgroundcolor='white',
                weight='normal', color='k'
                )
        ax.add_patch(
            Rectangle(xy=(x-1, -y),width=0.5,height=0.5,
                      facecolor=color_dict[colorlist[y]],
                     edgecolor='0.8')
                     )