Python 将图例正确添加到seaborn连接地块

我在seaborn jointplot中绘制了两个分布，如下所示：

graph = sns.jointplot(setosa.sepal_width, setosa.sepal_length,
                 cmap="Reds", kind="kde", marginal_kws={"color":"r", "alpha":.2}, shade=True, shade_lowest=False, alpha=.5)

graph.x = virginica.sepal_width
graph.y = virginica.sepal_length
graph.plot_joint(sns.kdeplot, cmap="Blues", shade=True, shade_lowest=False, alpha=.5)
ax = plt.gca()
ax.legend(["setosa", "virginica"])
graph.plot_marginals(sns.kdeplot, color='b', shade=True, alpha=.2, legend=False)

---

请注意图例中的

setosa

和

virginica

左侧没有颜色。是否有任何方法可以正确地将图例添加到seaborn中的jointplot中？

您可以将

标签

添加到两个打印调用中，并从

ax.legend（）

中删除名称。因此，完整的示例（请参见

#此处的更改
注释）：

谢谢。绘图是不同的，因为我不小心将维吉尼亚标记为塞托萨。这正是我想要的！
import seaborn as sns
import matplotlib.pyplot as plt

#I'm taking a stab at defining what you had
#the resulting plot is different
#but method still applies
iris = sns.load_dataset("iris")
setosa = iris[iris['species'] == 'setosa']
virginica = iris[iris['species'] == 'virginica']

graph = sns.jointplot(setosa.sepal_width, setosa.sepal_length,
                 cmap="Reds", kind="kde", marginal_kws={"color":"r", "alpha":.2}, shade=True, shade_lowest=False, alpha=.5,
                 label='setosa')      ## CHANGE HERE

graph.x = virginica.sepal_width
graph.y = virginica.sepal_length
graph.plot_joint(sns.kdeplot, cmap="Blues", shade=True, shade_lowest=False, alpha=.5, label='virginica')   ## CHANGE HERE
graph.set_axis_labels()
ax = plt.gca()
ax.legend()  #CHANGE HERE
graph.plot_marginals(sns.kdeplot, color='b', shade=True, alpha=.2, legend=False)