python投票一致性指数(IVC)实现代码
2021-01-17 16:13
标签:rom panda cep return 论文 turn sqli div das 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 python投票一致性指数(IVC)实现代码 标签:rom panda cep return 论文 turn sqli div das 原文地址:https://www.cnblogs.com/oikoumene/p/12916456.htmlimport 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‘ % 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‘%(y,y+8)
r1sql=‘select rcid, Country, vote, year from data where vote‘ % 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
文章标题:python投票一致性指数(IVC)实现代码
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