防守打法

#conding :UTF-8import csvimport jsondef loaddata():    file = open(r'thesis.csv', 'r')  # 读入论文信息文件    fileopen = csv.reader(file)    header = next(fileopen)    #存储第一作者的信息    first_author = []    #存储最终的学者信息    scholar = []    for row in fileopen:        if row[0] not in first_author:  # 第一作者统计            first_author.append(row[0])    # 由于所有的第一、第二作者加起来太多，我们只统计第一作者    scholar = first_author    print("data loaded")    return scholardef updatelink(scholar):    file1 = open(r'thesis.csv', 'r')  # 再次打开论文信息文件    fileopen1 = csv.reader(file1)    header1 = next(fileopen1)    # 第一作者之间互相合作的次数统计的二维矩阵    link = [[0 for j in range(len(scholar))] for i in range(len(scholar))]    for row in fileopen1:        if row[0] in scholar:            cowoker = row[2].split(';')            for woker in cowoker:                if woker in scholar:                    link[scholar.index(row[0])][scholar.index(woker)] += 1    for i in range(len(scholar)):        link[i][i] = 0    print("link updated")    return linkdef authorinfo(scholar,link):    data = []    # 用来统计每个第一作者和其他人一共合作的次数    times = [0] * len(scholar)    for i in range(len(scholar)):        times[i] += sum(link[i])        for j in range(len(scholar)):            times[i] += link[j][i]    for i in range(len(scholar)):  # 统计每两个人之间的合作次数        for j in range(i + 1, len(scholar)):            temp = link[i][j] + link[j][i]            link[i][j], link[j][i] = temp, temp    # 用来生成每个学者、每个节点的信息，适应echart所需要的格式    for i in range(len(scholar)):        if times[i] != 0:            person = {}            person["name"] = scholar[i]            person["symbolSize"] = times[i] * 5            person["category"] = i % 5            person["draggable"] = "true"            person["value"] = times[i]            data.append(person)    print("author")    return datadef linksinfo(scholar,link):    links = []    for i in range(len(scholar)):  # 生成每条边的信息        for j in range(i + 1, len(scholar)):            if link[i][j] != 0:                links.append({"source": scholar[i], "target": scholar[j], "value": link[i][j]})    print("links")    return linksdef details(data):    #打开导师关系的文件    file = open("tutor.csv",'r')    detail = csv.reader(file)    scholar = []    scholar_detail = {}    for i in data:        scholar.append(i['name'])    #更新具体的信息    for row in detail:        if row[0] in scholar:            person = {}            person['sex'] = row[1]            person['bachelor_uni'] = row[2]            person['master_uni'] = row[3]            person['doctor_uni'] = row[4]            person['tutor'] = row[5]            person['research_direction'] = row[7]            scholar_detail[row[0]] = person    with open("C:\wamp64\www\project\detail.json", "w") as f:  # 将具体信息数据写入json文件中        json.dump(scholar_detail, f, sort_keys=True, indent=4, separators=(',', ':'))if __name__=='__main__':    scholar = loaddata()    link = updatelink(scholar)    data = authorinfo(scholar,link)    links = linksinfo(scholar,link)    details(data)    output = {}    output['data'] = data  # 生成json格式的文件    output['links'] = links    with open("C:\wamp64\www\project\data.json", "w") as f:  # 将数据写入json文件中        json.dump(output, f, sort_keys=True, indent=4, separators=(',', ':'))    print("finished")