Petroff10 样式表

此示例演示了“petroff10”样式，该样式实现了 Matthew A. Petroff [1] 为可访问数据可视化开发的 10 色序列。该样式平衡了美学和可访问性方面的考虑，使其适用于各种类型的绘图，同时确保数据系列的易读性和区分度。

[1]

https://arxiv.org/abs/2107.02270

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)

plt.style.use('petroff10')
fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(12, 5))
fig.suptitle("'petroff10' style sheet")
colored_lines_example(ax1)
image_and_patch_example(ax2)
plt.show()