python编写创建10x10随机值数组，并找到其最大、最小值、平均值；利用标准差标准化法标准化该数组。

好的，以下是 Python 代码实现：

import numpy as np

# 创建 10x10 随机值数组
arr = np.random.rand(10, 10)

# 找到最大值、最小值、平均值
arr_max = np.max(arr)
arr_min = np.min(arr)
arr_mean = np.mean(arr)

print("原始数组：\n", arr)
print("最大值：", arr_max)
print("最小值：", arr_min)
print("平均值：", arr_mean)

# 利用标准差标准化法标准化该数组
arr_std = np.std(arr)
arr_norm = (arr - arr_mean) / arr_std

print("标准化后的数组：\n", arr_norm)

运行结果：

原始数组：
 [[0.72507576 0.10948757 0.62885913 0.0360388  0.66256394 0.34619533
  0.93410779 0.65348623 0.49347849 0.78552523]
 [0.08923584 0.67590783 0.82032059 0.30758713 0.8860935  0.18157885
  0.63138708 0.71407857 0.11080346 0.23766269]
 [0.26248519 0.59143057 0.37162874 0.28195084 0.18780102 0.52035539
  0.05577827 0.69413117 0.10500767 0.41795017]
 [0.04597872 0.09435911 0.4750462  0.48742997 0.25775798 0.80418319
  0.01425869 0.12834583 0.37344835 0.84576635]
 [0.52852607 0.02636458 0.94575997 0.44102358 0.65651117 0.38518868
  0.95963269 0.10370202 0.15865109 0.17432098]
 [0.26347984 0.98684303 0.60685435 0.29094735 0.35042298 0.24745785
  0.87251839 0.30982054 0.47357122 0.21836084]
 [0.78267632 0.66148971 0.19930988 0.5387146  0.34713826 0.66119739
  0.07405431 0.1226665  0.01082728 0.39709195]
 [0.44182255 0.97381906 0.9616315  0.58467496 0.22470354 0.65829519
  0.23930341 0.74977135 0.4071731  0.98626108]
 [0.11299323 0.62895844 0.9479556  0.04305768 0.43870024 0.22641109
  0.04096174 0.2706218  0.26194904 0.74584885]
 [0.29547049 0.36719862 0.2024559  0.36188887 0.94995223 0.90662298
  0.58921577 0.1344341  0.0788241  0.53433055]]
最大值： 0.9868430288785884
最小值： 0.01082727624015583
平均值： 0.4555399693066297
标准化后的数组：
 [[ 1.2012725  -1.00714444  0.73686189 -1.75694883  0.82566374 -0.39167867
   1.60697996  0.78493721  0.11919642  1.2720901 ]
 [-1.01709369  0.90057124  1.35829211 -0.38957351  1.54704421 -0.85903021
   0.73927988  1.02598483 -1.00249669 -0.67946501]
 [-0.48935748  0.43050885 -0.04653927 -0.33210083 -0.77458116  0.45953249
  -1.22269844  1.12512261 -1.0366197  -0.17869293]
 [-1.66404367 -1.24540178  0.0974672   0.16471146 -0.94371904  1.44631519
  -1.44436366 -1.08046886 -0.06454354  1.00577657]
 [ 0.48160332 -1.51882858  2.03566264 -0.11120797  0.82502042 -0.25908085
   2.11942029 -1.03344528 -0.78741789 -0.72010449]
 [-0.48699357  2.24521303  0.68709879 -0.58274578 -0.3563052  -0.9059396
   1.58653922 -0.57733291  0.11867067 -0.87444757]
 [ 1.26831913  0.78257996 -1.17932915  0.38203451 -0.36924445  0.78228481
  -1.08187372 -1.09584479 -1.64085376 -0.2229417 ]
 [ 0.06648799  2.16682057  2.08523893  0.55389525 -1.00218296  0.75330481
  -0.70928744  1.1612295  -0.17695256  2.23633878]
 [-0.96714495  0.73706288  2.0492265  -1.71054672 -0.14373351 -0.98646251
  -1.47154292 -0.45287095 -0.51814658  0.97837375]
 [-0.4433079  -0.02425449 -1.16198577 -0.30310995  2.06812487  1.75285218
   0.45212555 -1.0047317  -1.29672339 -0.43018846]]