#coding=utf8
import itchat # 自动回复
# 封装好的装饰器,当接收到的消息是Text,即文字消息
@itchat.msg_register('Text')
def text_reply(msg):
# 当消息不是由自己发出的时候
if not msg['FromUserName'] == myUserName:
# 发送一条提示给文件助手
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()
好友签名标签云
# coding:utf-8
import itchat
import re itchat.login()
friends = itchat.get_friends(update=True)[0:]
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(__file__)
# 更改目录下Wordcloud生成图片,如:xiaohuangren.jpg
alice_coloring = np.array(Image.open(os.path.join(d, "xiaohuangren.jpg")))
# win系统需要更改font路径,如:C:\Windows\Fonts\msyhbd.ttc
my_wordcloud = WordCloud(background_color="white", max_words=2000, mask=alice_coloring,
max_font_size=40, random_state=42,
font_path='/Users/sebastian/Library/Fonts/Arial Unicode.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() # 保存图片 并发送到手机
my_wordcloud.to_file(os.path.join(d, "wechat_cloud.png"))
itchat.send_image("wechat_cloud.png", 'filehelper')
# coding:utf-8
import itchat
'''
微信好友性别比例
''' # 先登录
itchat.login() # 获取好友列表
friends = itchat.get_friends(update=True)[0:] # 初始化计数器,有男有女,当然,有些人是不填的
male = female = other = 0 # 遍历这个列表,列表里第一位是自己,所以从"自己"之后开始计算
# 1表示男性,2女性
for i in friends[1:]:
sex = i["Sex"]
if sex == 1:
male += 1
elif sex == 2:
female += 1
else:
other += 1 # 总数算上,好计算比例啊~
total = len(friends[1:]) # 好了,打印结果
print u"男性好友:%.2f%%" % (float(male) / total * 100)
print u"女性好友:%.2f%%" % (float(female) / total * 100)
print u"未填性别:%.2f%%" % (float(other) / total * 100) # 使用echarts,加上这段
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"]
del chart.json["yAxis"]
chart.plot()
自动回复机器人
import requests
import itchat KEY = 'd364bd41d25c4c1a9dfcecccf8ed8494' def get_response(msg):
apiUrl = 'http://www.tuling123.com/openapi/api'
data = {
'key' : KEY,
'info' : msg,
'userid' : 'wechat-robot',
}
try:
r = requests.post(apiUrl, data=data).json()
return r.get('text')
except Exception as e:
print(e) @itchat.msg_register(['Map', 'Card', 'Note', 'Sharing', 'Picture','Text'])
def tuling_reply(msg):
defaultReply = 'I received: ' + msg['Text']
reply = get_response(msg['Text'])
return reply or defaultReply itchat.auto_login(hotReload=True)
itchat.run()