本文实例讲述了python关于矩阵重复赋值覆盖问题的解决方法。分享给大家供大家参考,具体如下:
import itertools import numpy as np comb = list(itertools.combinations(list(range(regions)), 2)) bands_info = [] coeff = np.zeros([bands, len(comb)]) for cla in range(classes): class_info = data[:,cla*bands*regions:(cla+1)*bands*regions] for bs in range(bands): n = bs*regions for i in range(len(comb)): index1 = comb[i][0]+n index2 = comb[i][1]+n part1 = class_info[:, index1] part2 = class_info[:, index2] coeff[bs, i] = (np.corrcoef(part1, part2))[0, 1] bands_info.append(coeff.reshape([1,-1])) coeff_info = np.vstack((bands_info[0], bands_info[1], bands_info[2],bands_info[3]))
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