numpy数组-标准化数据

标准化数据的公式: (数据值 - 平均数) / 标准差

 import numpy as np

 employment = np.array([
     55.70000076,  51.40000153,  50.5       ,  75.69999695,
     58.40000153,  40.09999847,  61.5       ,  57.09999847,
     60.90000153,  66.59999847,  60.40000153,  68.09999847,
     66.90000153,  53.40000153,  48.59999847,  56.79999924,
     71.59999847,  58.40000153,  70.40000153,  41.20000076
 ])

 mean = employment.mean()         #计算平均数
 deviation = employment.std()     #计算标准差
 # 标准化数据的公式: (数据值 - 平均数) / 标准差
 standardized_employment = (employment - mean) / deviation
 print (standardized_employment)  

结果:

   [-0.31965231 -0.780123   -0.87650077  1.82207181 -0.03051941 -1.99019768
   0.30144772 -0.16973184  0.23719615  0.84758731  0.18365304  1.00821665
   0.87971351 -0.56595055 -1.07996476 -0.20185762  1.38301845 -0.03051941
   1.2545153  -1.87240259]