你可以通过sns.relplot和kind ='line'得到你想要的东西。使用col ='klinger'来绘制尽可能多的子图，col_wrap=4将有助于获得4x2的形状，col_order=klinger_categories将选择您想要绘制的类别。

import numpy as np
import pandas as pd
import seaborn as sns
number = 100
klinger_categories = ['a','b','c','d','e','f','g','h']
data = {'datapoints': np.arange(number),
        'mean': np.random.normal(0,1,size=number),
        'index': np.random.choice(np.arange(2),size=number),
        'klinger': np.random.choice(klinger_categories,size=number),
        }
df = pd.DataFrame(data)
sns.relplot(
        data=df, x='datapoints', y='mean', hue='index', kind='line',
        col='klinger', col_wrap=4, col_order=klinger_categories
        )