python投票一致性指数（IVC）实现代码

毕业论文中用于计算联合国会员国间在联合国大会上的投票一致性（IVC）

import pandas as pd
import sqlite3
import networkx as nx
import time
import numpy as np
def gen_dict(sql）:#建立投票数据字典
    votedict={}
    votedict['all']={}
    for c in cntylist:
        votedict['all'][c]={}
        votedict['all'][c]['yes']=[]
        votedict['all'][c]['noyes']=[]
        votedict['all'][c]['qq']=[]
        votedict['all'][c]['no']=[]
        votedict['all'][c]['all']=[]
    for y in [1992，2001，2010]:
        votedict[y]={}
        for c in cntylist:
            votedict[y][c]={}
            votedict[y][c]['yes']=[]
            votedict[y][c]['noyes']=[]
            votedict[y][c]['qq']=[]
            votedict[y][c]['no']=[]
            votedict[y][c]['all']=[]
    for c in cntylist:
        c1=c
        r1sql='select rcid， Country， vote， year from data where vote<4 and Country= \'%s\'' % c1 + sql
        rec1=pd.read_sql(r1sql ，conn）
        yeslist=rec1[rec1['vote']==1]['rcid'].tolist(）
        noyeslist=rec1[(rec1['vote']==2）|(rec1['vote']==3）]['rcid'].tolist(）
        nolist=rec1[rec1['vote']==3]['rcid'].tolist(）
        qqlist=rec1[rec1['vote']==2]['rcid'].tolist(）
        votedict['all'][c]['yes']=yeslist
        votedict['all'][c]['noyes']=noyeslist
        votedict['all'][c]['qq']=qqlist
        votedict['all'][c]['no']=nolist
        votedict['all'][c]['all']=rec1['rcid'].tolist(）
    for y in [1992，2001，2010]:
        for c in cntylist:
            c1=c
            yearsql='and year>= %d and year< %d'%(y，y+8）
            r1sql='select rcid， Country， vote， year from data where vote<4 and Country= \'%s\'' % c1+yearsql+sql
            rec1=pd.read_sql(r1sql ，conn）
            yeslist=rec1[rec1['vote']==1]['rcid'].tolist(）
            noyeslist=rec1[(rec1['vote']==2）|(rec1['vote']==3）]['rcid'].tolist(）
            nolist=rec1[rec1['vote']==3]['rcid'].tolist(）
            qqlist=rec1[rec1['vote']==2]['rcid'].tolist(）
            votedict[y][c]['yes']=yeslist
            votedict[y][c]['noyes']=noyeslist
            votedict[y][c]['qq']=qqlist
            votedict[y][c]['no']=nolist
            votedict[y][c]['all']=rec1['rcid'].tolist(）
        print(sql，y，'生成该年份数据'）
    print(sql，'数据字典已经生成'）
return votedict
def ivc_gen_new(thedict，c1，c2）:#基于字典计算两国间IVC
    c1yes= thedict[c1]['yes']
    c1no= thedict[c1]['no']
    c1noyes=thedict[c1]['noyes']
    c1qq=thedict[c1]['qq']
    c2yes= thedict[c2]['yes']
    c2no=thedict[c2]['no']
    c2noyes=thedict[c2]['noyes']
    c2qq=thedict[c2]['qq']
    c1all=thedict[c1]['all']
    c2all=thedict[c2]['all']
    flist=[x for x in c1yes if x in c2yes]+[x for x in c1qq if x in c2qq]+[x for x in c1no if x in c2no]
    glist=[x for x in c1qq if x in c2yes+c2no]+[x for x in c2qq if x in c1yes+c1no]
    f=len(set(flist））
    g=len(set(glist））
    t=len(set([c for c in c1all if c in c2all]））
    try:
        ivc=(f+0.5*g）/t
    except:
        ivc=0
return ivc

IVC方法参考

Turner J. Party and constituency: Pressures on congress[M]. Baltimore: The Johns Hopkins Press, 1952.