fromnumpyimportarray fromscipy.sparseimportcoo_matrix row=array([0,0,1,3,1,0,0]) col=array([0,2,1,3,1,0,0]) data=array([1,1,1,1,1,1,1]) A=coo_matrix((data, (row, col)), shape=(4,4)).tocsr() A.toarray() 数组r中的元素和它对应下标的c列表中的元素组成了非零数字在...
# 方法3.Scipy的pearsonr方法能够同时计算相关系数和p-value import numpy as np from scipy.stats import pearsonr np.random.seed(0) size = 300 x = np.random.normal(0, 1, size) print("Lower noise", pearsonr(x, x + np.random.normal(0, 1, size))) print("Higher noise", pearsonr(x,...