return不起作用
import pandas as pd
def dataDirection_2_0(datas):
def normalization(data):
list0 = []
list0.append ( abs ( data - 7 ) ) # 此处的7为最优值,可修改
M = max ( list0 )
if data == 7:
return 1
else:
return 1-abs(data - 7) / M
return list ( map ( normalization, datas ) )
data = pd.DataFrame(
{'人均专著': [0.1, 0.2, 0.4, 0.9, 1.2], '生师比': [5, 6, 7, 10, 2], '科研经费': [5000, 6000, 7000, 10000, 400],
'逾期毕业率': [4.7, 5.6, 6.7, 2.3, 1.8]}, index=['院校' + i for i in list('ABCDE')])
data['生师比'] = dataDirection_2_0(data['生师比'])
print(data)
return不起作用,是使用pandas库的缘故吗