import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

# 1.最小最大標(biāo)準(zhǔn)化
Data = np.array([[0.2,0.9,29],
? ? ? ? ? ? ? ? [0.9,0.1,100],
? ? ? ? ? ? ? ? [0.5,0.5,30]]) #最?。畲髿w一化算法
#　1.1數(shù)據(jù)轉(zhuǎn)化
def MinMax(data):
? ? min = 0
? ? max = 1
? ? C = data[:,2]
? ? min = np.min(C)
? ? max = np.max(C)
? ? for one in data:
? ? ? ? one[2] = (one[2]-min) / (max-min)
? ? print('轉(zhuǎn)化后的矩陣：\n',data)
? ? return data


# 1.2可視化
def ShowData(Data,ShowD1):
? ? length = len(Data)
? ? X = np.ones(Data.shape[0])
? ? plt.figure(1)
? ? plt.subplot(121)
? ? for i in range(length):
? ? ? ? plt.scatter(X*(i+1),Data[:,i])
? ? plt.subplot(122)
? ? for i in range(length):
? ? ? ? plt.scatter(X*(i+1),ShowD1[:,i])
? ? plt.show()
ShowData(Data,MinMax(Data.copy()))

def Zscore(data):
? ? x_mean = np.mean(data[:2])
? ? length = len(data[:,2])
? ? vari = np.sqrt((np.sum((data[:2]-x_mean)**2))/length)
? ? print('方差:',vari)
? ? data[:,2] = (data[:,2]-x_mean)/vari
? ? print('Z-score標(biāo)準(zhǔn)化后的矩陣是',data)
? ? return data

ShowData(Data,Zscore(Data.copy()))

# 小數(shù)定標(biāo)歸一化算法
def Decimals(data):
? ? C = np.abs(data[:,2])
? ? max = int(np.sort(C)[-1]) # 按從小到大排序，取最后一位，及最大值
? ? k = len(str(max))
? ? print('絕對(duì)值最大的位數(shù)：\n',k)
? ? data[:2] = data[:,2] /(10**k)
? ? print('小數(shù)點(diǎn)定標(biāo)準(zhǔn)化后的矩陣：\n',data)
? ? return data
ShowData(Data,Decimals(Data.copy()))