首先當然要配置r語言環境變數什麼的

D:\R-3.5.1\bin\x64; 
D:\R-3.5.1\bin\x64\R.dll;
D:\R-3.5.1;
D:\ProgramData\Anaconda3\Lib\site-packages\rpy2;

本來用python也可以實現關聯規則，雖然沒包，但是視覺化挺麻煩的

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還要下載兩個R的包

import rpy2.robjects as robjects
b=('''
    install.packages("arules")
    install.packages("arulesViz")
''')
robjects.r(b)
 

然後就是主程式碼了

import rpy2.robjects as robjects

a=('''Encoding("UTF-8")
setwd("F:/goverment/Aprior")

all_data<-read.csv("F:/goverment/Aprior/NewData.csv",header = T,#將資料轉化為因子型
                   colClasses=c("factor","factor","factor","factor","factor","factor","factor","factor","factor","factor","factor","factor"))
library(arules)
rule=apriori(data=all_data[,c(1,4,5,6,7,8,9,10,12)], parameter = list(support=0.05,confidence=0.7,minlen=2,maxlen=10))       
   ''')
robjects.r(a)

robjects.r('''                        
rule.subset<-subset(rule,lift>1)
#inspect(rule.subset)
rules.sorted<-sort(rule.subset,by="lift")
subset.matrix<-is.subset(rules.sorted,rules.sorted)
lower.tri(subset.matrix,diag=T)
subset.matrix[lower.tri(subset.matrix,diag = T)]<-NA
redundant<-colSums(subset.matrix,na.rm = T)>=1          #這五條就是去冗餘（感興趣可以去網上搜），我雖然這裡寫了，但我沒有去冗餘，我的去了以後一個規則都沒了
which(redundant)
rules.pruned<-rules.sorted[!redundant]
#inspect(rules.pruned) #輸出去冗餘後的規則
''')


c=('''

library(arulesViz)#掉包

jpeg(file="plot1.jpg")
#inspect(rule.subset)
plt<-plot(rule.subset,shading = "lift")#畫散點圖
dev.off()


subrules<-head(sort(rule.subset,by="lift"),50)
#jpeg(file="plot2.jpg")
plot(subrules,method = "graph")#畫圖
#dev.off()

rule.sorted <- sort(rule.subset, decreasing=TRUE,  by="lift") #按提升度排序
rules.write<-as(rule.sorted,"data.frame") #將規則轉化為data型別
write.csv(rules.write,"F:/goverment/Aprior/NewRules.csv",fileEncoding="UTF-8")
''')
robjects.r(c)

#取出儲存的規則，放到一個列表中
from pandas import read_csv
data_set = read_csv("F:/goverment/Aprior/NewRules.csv")
data = data_set.values[:, :]
rul = []
for line in data:
    ls = []
    for j in line:
        try :
            j=float(j)
            if j>0 and j<=1:
                j=str(round(j*100,2))+"%"
                ls.append(j)
            else:
                ls.append(round(j,2))
        except:
            ls.append(j)
    rul.append(ls)


for line in rul:
    print(line)