Seaborn的joinplot函数画图无法显示pearson相关系数

[lzw2016]

如图所圈出来的，我在绘制该图时，图中无法显示相关系数。


代码如示

#coding:utf-8

import seaborn as sns
import matplotlib.pyplot as plt

tips = sns.load_dataset("tips")
sns.jointplot("total_bill","tip",tips,kind='reg');
plt.show()

有大佬知道该如何解决吗？请指教，谢谢。

[沉研]

import seaborn as sns
import matplotlib.pyplot as plt
from scipy import stats

tips = sns.load_dataset("tips")

def pearson(x,y):
    r,p = stats.pearsonr(x,y)

g =  sns.jointplot("total_bill","tip",tips,kind='reg')
g.annotate(pearson,template='r: {val:.2f}\np: {p:.3f}')

[沉研]

import seaborn as sns
import matplotlib.pyplot as plt
from scipy import stats

tips = sns.load_dataset("tips")

def pearson(x,y):
    r,p = stats.pearsonr(x,y)

g =  sns.jointplot("total_bill","tip",tips,kind='reg')
g.annotate(pearson,template='r: {val:.2f}\np: {p:.3f}')

[沉研]

额额，上面的有问题，更新如下

import seaborn as sns
import matplotlib.pyplot as plt
from scipy import stats
 
tips = sns.load_dataset("tips")
 
def pearson(x,y):
   return stats.pearsonr(x,y)
 
g =  sns.jointplot("total_bill","tip",tips,kind='reg')
g.annotate(pearson,template='r: {val:.2f}\np: {p:.3f}')