我想使用seaborn绘制2个变量的相关图jointplot。我尝试了很多不同的方法，但我无法根据类别为点添加颜色。
这是我的代码：
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
sns.set()
X = np.array([5.2945 , 3.6013 , 3.9675 , 5.1602 , 4.1903 , 4.4995 , 4.5234 ,
4.6618 , 0.76131, 0.42036, 0.71092, 0.60899, 0.66451, 0.55388,
0.63863, 0.62504, 0. , 0. , 0.49364, 0.44828, 0.43066,
0.57368, 0. , 0. , 0.64824, 0.65166, 0.64968, 0. ,
0. , 0.52522, 0.58259, 1.1309 , 0. , 0. , 1.0514 ,
0.7519 , 0.78745, 0.94873, 1.0169 , 0. , 0. , 1.0416 ,
0. , 0. , 0.93648, 0.92801, 0. , 0. , 0.89594,
0. , 0.80455, 1.0103 ])
y = np.array([ 93, 115, 107, 115, 110, 107, 102, 113, 95, 101, 116, 74, 102,
102, 78, 85, 108, 110, 109, 80, 91, 88, 99, 110, 108, 96,
105, 93, 107, 98, 88, 75, 106, 92, 82, 84, 84, 92, 115,
107, 97, 115, 85, 133, 100, 65, 96, 105, 112, 107, 107, 105])
ax = sns.jointplot(X, y, kind='reg' )
ax.set_axis_labels(xlabel='Brain scores', ylabel='Cognitive scores')
plt.tight_layout()
plt.show()
现在，我想根据类变量为每个点添加颜色classes.
