# coding:utf-8
import itchat
import re
itchat.login()
friends = itchat.get_friends(update=True)[0:]  #爬取好友的相关信息，返回一个friends文件#自己微信好友的男女比例
male=female=other=0
#friend[0]是自己的信息，从friend[1]开始
for i in friends[1:]:sex=i['Sex']if sex==1:male+=1elif sex==2:female+=1else:other+=1#计算朋友总数
total=len(friends[1:])
print('male： %d' % int(male))
print('female： %d' % int(female))
print('other： %d' % int(other))
print('male：  %.2f%%' % (float(male)/total*100))
print('female: %.2f%%' % (float(female)/total*100))
print('other： %.2f%%' % (float(other)/total*100))#绘制性别饼图
from pyecharts import Pie
attr=['male','female','other']
vl=[123,125,23]
pie=Pie("性别比例")
pie.add('',attr,vl,is_label_show=True)
pie.render(r"D:\WorkSpace\Python3.6.0\Sex.html") #默认将会在根目录下生成一个 render.html 的文件，支持 path 参数，设置文件保存位置，如 render(r"e:\my_first_chart.html")，文件用浏览器打开。#定义一个函数把好友昵称、省份、城市、性别、签名等数据都爬下来，存到数据框
#首先定义一个函数，用来爬取各个变量
def get_var(var):variable=[]for i in friends:value=i[var]variable.append(value)return variable#调用函数得到各个变量,存在csv文件中
NickName=get_var('NickName')
Sex=get_var('Sex')
Province=get_var('Province')
City=get_var('City')
Signature=get_var('Signature')from pandas import DataFrame
data={'NickName':NickName,'Sex':Sex,'Province':Province,'City':City,'Signature':Signature}
frame=DataFrame(data)
frame.to_csv('data2.csv',index=True)import csv
with open('data2.csv','r',encoding = "utf-8") as myFile:reader=csv.reader(myFile)for row in reader:print(row)from pyecharts import Bar
Provinces=[]
for f in friends:Province=f.ProvinceProvinces.append(Province)a={}
for i in Provinces:a[i]=Provinces.count(i)b=sorted(a.items(),key=lambda item:item[1])attrs=[]
values=[]
j=0
while j<len(b):attr=b[j][0]value=b[j][1]attrs.append(attr)values.append(value)j+=1#开始绘图bar=Bar('好友所在省份')
bar.add('省份',attrs,values, is_stack=True,is_datazoom_show=True)
bar.render()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)# jieba分词
import jieba
wordlist_jieba = jieba.cut(text, cut_all=True)
wl_space_split = " ".join(wordlist_jieba)
# wordcloud词云
import matplotlib.pyplot as plt
from wordcloud import WordCloud, ImageColorGenerator
import os
import numpy as np
import PIL.Image as Image
d= os.path.dirname(os.path.abspath( __file__ ))
alice_coloring = np.array(Image.open(os.path.join(d, "wechat.jpg")))
my_wordcloud = WordCloud(background_color="white", max_words=2000,mask=alice_coloring,max_font_size=400, random_state=420,font_path='D:\WorkSpace\Python3.6.0\simkai.ttf').generate(wl_space_split)
image_colors = ImageColorGenerator(alice_coloring)
plt.imshow(my_wordcloud.recolor(color_func=image_colors))
plt.imshow(my_wordcloud)
plt.axis("off")
plt.show()

四、结果图如下：