NumPy学习笔记（4）--数据归一化

# 归一化，将矩阵规格化到0-1之间import numpy as npa = 10*np.random.random((5, 5)) # 新建5*5矩阵做演示print(a)print('---')amin, amax = a.min(), a.max() # 求最大最小值a = (a-amin)/(amax-amin) # (矩阵元素-最小值)/(最大值-最小值)print(a)# 输出 [[ 2.36293248  2.28110919  6.16223037  2.82108853  3.82572016] [ 8.38507584  3.97018851  8.68038671  4.55166216  7.41336474] [ 8.641908    6.63312921  2.58191811  2.79359388  4.41776143] [ 2.14213006  8.24702055  4.69514129  3.44458659  2.33541662] [ 2.60246377  0.52364881  8.36609653  2.0713082   1.73721125]]---[[ 0.22549255  0.21546118  0.69127899  0.28166158  0.40482744] [ 0.96379547  0.42253898  1.          0.4938265   0.8446656 ] [ 0.99528259  0.74901026  0.25233976  0.27829079  0.47741054] [ 0.19842261  0.94687016  0.51141676  0.35810122  0.22211916] [ 0.25485862  0.          0.96146864  0.18973999  0.14878036]]
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