方法一：

import numpy as np# 计算相关系数R
def r(y_true, y_pred):y_true = np.array(y_true)y_pred = np.array(y_pred)corr = np.corrcoef(y_true, y_pred)[0][1]return corrcorr = r(yture, ypred)

方法二

import scipy.stats
# 计算皮尔逊相关指数，并进行显著性检验
def get_pex(x,y):aaa = scipy.stats.pearsonr(x, y)print('皮尔逊系数是：{}，显著性检测值是：{}'.format(aaa[0],aaa[1]))pex_r = get_pex(x, y)[0]
pex_p = get_pex(x, y)[1]

参考：https://mp.weixin.qq.com/s/nABJf4WBR4Y4oEZiYKPK4Q