练习:微信好友分析

来源:http://www.cnblogs.com/jiaoyu121/p/6944398.html

 

1.好友性别分布

import itchat

itchat.login()
#itchat.send(u‘你好‘,‘filehelper‘)

friends = itchat.get_friends(update=True)[0:]
#print len(friends)

male = female = other = 0
for i in friends[1:]:
    sex = i[Sex]   #1男性 2 女性
    if sex == 1:
        male += 1
    elif sex == 2:
        female +=1
    else:
        other += 1

total = len(friends[1:])
#print u‘男性好友:‘+(float(male)/total)*100
print u男性好友:%.2f%%%(float(male)/total*100)
print u女性好友:%.2f%%%(float(female)/total*100)
print u其他:%.2f%%%(float(other)/total*100)

输出:

练习:微信好友分析

可视化

from echarts import Echart, Legend, Pie

chart = Echart(u%s的微信好友性别比例 % (friends[0][NickName]), from WeChat)
chart.use(Pie(WeChat,
              [{value: male, name: u男性 %.2f%% % (float(male) / total * 100)},
               {value: female, name: u女性 %.2f%% % (float(female) / total * 100)},
               {value: other, name: u其他 %.2f%% % (float(other) / total * 100)}],
              radius=["50%", "70%"]))
chart.use(Legend(["male", "female", "other"]))
del chart.json["xAxis"]  #x轴y轴暂时没有隐藏
del chart.json["yAxis"]
chart.plot()

 输出

练习:微信好友分析

 

2.好友个性签名

tList = []
for i in friends:
    signature = i["Signature"].replace(" ", "").replace("span", "").replace("class", "").replace("emoji", "")
    rep = re.compile("1f\d.+")
    signature = rep.sub("", signature)
    tList.append(signature)

# 拼接字符串
text = "".join(tList)
print text


import jieba

all_words = []    #用词列表
wordlist_jieba = jieba.cut(text, cut_all=True)
all_words.extend(set(wordlist_jieba))   #set(data)去除重复的词

from collections import Counter

count = Counter(all_words)   #统计出现次数,以字典的键值对形式存储,元素作为key,其计数作为value。
result = sorted(count.items(), key=lambda x: x[1], reverse=True)  #key=lambda x: x[1]在此表示用次数作为关键字
print type(result)  #元组列表 
#for word in result:
#    print word[0], word[1]

输出:

练习:微信好友分析

可视化

from pyecharts import WordCloud

data = dict(result)
wordcloud
= WordCloud(微信好友个性签名词云,width = 1200,height = 720)
wordcloud.add(
test,data.keys(),data.values(),word_size_range = [20,80]) wordcloud.render(rE:\wordcloud.html)

 输出

练习:微信好友分析

 

3.自动回复

import time

@itchat.msg_register(Text)
def text_reply(msg):
    # 当消息不是由自己发出的
    if not msg[FromUserName] == myUserName:
        # 发送提示给文件助手
        itchat.send_msg(u"[%s]收到好友@%s 的信息:%s\n" %
                        (time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(msg[CreateTime])),
                         msg[User][NickName],
                         msg[Text]), filehelper)
        # 回复给好友
        return u[自动回复]您好,我现在有事不在,一会再和您联系。\n已经收到您的的信息:%s\n % (msg[Text])

if __name__ == __main__:
    itchat.auto_login()

    # 获取自己的UserName
    myUserName = itchat.get_friends(update=True)[0]["UserName"]
    itchat.run()

 输出:

练习:微信好友分析

练习:微信好友分析

练习:微信好友分析

练习:微信好友分析

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