Petroff style sheets#

This example demonstrates the "petroffN" styles, which implement the 6-, 8- and 10-color sequences developed by Matthew A. Petroff [1] for accessible data visualization. The styles balance aesthetics with accessibility considerations, making them suitable for various types of plots while ensuring readability and distinction between data series.

[1]

https://arxiv.org/abs/2107.02270

[petroff10]

import matplotlib.pyplot as plt
import numpy as np


def colored_lines_example(ax):
    t = np.linspace(-10, 10, 100)
    nb_colors = len(plt.rcParams['axes.prop_cycle'])
    shifts = np.linspace(-5, 5, nb_colors)
    amplitudes = np.linspace(1, 1.5, nb_colors)
    for t0, a in zip(shifts, amplitudes):
        y = a / (1 + np.exp(-(t - t0)))
        line, = ax.plot(t, y, '-')
        point_indices = np.linspace(0, len(t) - 1, 20, dtype=int)
        ax.plot(t[point_indices], y[point_indices], 'o', color=line.get_color())
    ax.set_xlim(-10, 10)


def image_and_patch_example(ax):
    ax.imshow(np.random.random(size=(20, 20)), interpolation='none')
    c = plt.Circle((5, 5), radius=5, label='patch')
    ax.add_patch(c)


fig = plt.figure(figsize=(6.4, 9.6), layout='compressed')
sfigs = fig.subfigures(nrows=3)

for style, sfig in zip(['petroff6', 'petroff8', 'petroff10'], sfigs):
    sfig.suptitle(f"'{style}' style sheet")
    with plt.style.context(style):
        ax1, ax2 = sfig.subplots(ncols=2)
        colored_lines_example(ax1)
        image_and_patch_example(ax2)

plt.show()

Total running time of the script: (0 minutes 1.907 seconds)

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