我在海洋联合图中绘制了两个分布,像这样:
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)
关于图例的通知,setosa
和virginica
的左侧没有颜色。有什么方法可以将图例正确添加到seaborn的关节图中?
答案 0 :(得分:2)
您可以将label
添加到两个绘图调用中,并从ax.legend()
中删除名称。因此,完整的示例(请参见#CHANGE HERE
注释):
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)