本文實例講述了python關(guān)于矩陣重復賦值覆蓋問題的解決方法。分享給大家供大家參考，具體如下：

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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]))

新聞名稱：python關(guān)于矩陣重復賦值覆蓋問題的解決方法-創(chuàng)新互聯(lián)
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