如何准确绘制多层图例（箱线图和线图）的图例？

Question

import numpy as np
import seaborn as sns
from matplotlib.patches import Patch
from matplotlib.lines import Line2D

data_box = np.random.random((10, 3))
data_line = np.random.random(3)

ax = sns.boxplot(data=data_box, color='red', saturation=0.5)
sns.lineplot(data=data_line, color='blue')
legend_elements = [Line2D([0], [0], color='blue', lw=4, label='box'),
                   Patch(facecolor='red', edgecolor='grey', linewidth=1.5,
                         label='line')]
ax.legend(handles=legend_elements, fontsize='xx-large')

如上图所示，我将线图叠加到箱线图上，然后使用matplotlib手动绘制图例。

但是seaborn设置颜色的饱和度，其默认值为0.75（我将其设置为0.5可以使差异明显）。因此，matplotlib生成的图例颜色不正确。有什么方法可以改变matplotlib图例的饱和度吗？或者如何设置设置saturation=1除外的准确绘制图例颜色。

Answer 1

使用seaborn's desaturate功能

import numpy as np
import seaborn as sns
from matplotlib.patches import Patch
from matplotlib.lines import Line2D

data_box = np.random.random((10, 3))
data_line = np.random.random(3)

fig, ax = plt.subplots()
ax = sns.boxplot(data=data_box, color='red', saturation=0.5)
sns.lineplot(data=data_line, color='blue')
legend_elements = [Line2D([0], [0], color='blue', lw=4, label='box'),
                   Patch(facecolor=sns.desaturate('red',0.5), edgecolor='grey', linewidth=1.5,
                         label='line')]
ax.legend(handles=legend_elements, fontsize='xx-large')