1901100169自学训练营17群DAY11 Work (#6130)

* D10 work Create stats_word.py

* 1901100169 D11 Work

Author: MayJiao0

exercises/1901100169/D11/mymodule/stats_word.py

@@ -0,0 +1,139 @@
+# -*- coding: utf-8 -*-
+
+text= '''
+The Zen of Python, by Tim Peters
+Beautiful is better than ugly.
+Explicit is better than implicit.
+Simple is better than complex.
+Complex is better than complicated.
+Flat is better than nested.
+Sparse is better than dense.
+Readability counts.
+Special cases aren't special enough to break the rules.
+Although practicality beats purity.
+Errors should never pass silently.
+Unless explicitly silenced.
+In the face of ambxiguity, refuse the temptation to guess.
+There should be one-- and preferably only one --obvious way to do
+it.
+Although that way may not be obvious at first unless you're Dutch.
+Now is better than never.
+Although never is often better than *right* now.
+If the implementation is hard to explain, it's a bad idea.
+If the implementation is easy to explain, it may be a good idea.
+Namespaces are one honking great idea -- let's do more of those!
+'''
+text1='''澎湃新闻9月26日从公安部交管局获悉，
+    国庆假期全国将再次迎来自驾出行高峰，高速公路、景区周边道路交通压
+    力和安全风险将显著增大。近日，公安部对近年来国庆假期道路交通事故
+    情况进行分析，对今年国庆假期交通安全形势进行研判，并向社会公众发
+    出交通安全预警。
+    近三年国庆假期道路交通事故情况显示，小客车及高速公路是事故预防的
+    重点车辆和重点道路。从导致死亡事故的原因看，未按规定让行、无证驾
+    驶、超速行驶肇事最多，酒驾醉驾、超速行驶、未按规定让行肇事导致死
+    亡人数占比逐年增加。'''
+# def stats_text_en(text):
+# #    text=input('请输入英文:\n')
+#     count=10
+#     import collections
+#     if type(text) is str:
+#         x='*-,.!' #列出要替换的标点符号
+# #       words_dict={} #空字典
+#         for c in x: #按每个标点在X里面循环
+#             text=(text.replace(c,'')) #重置的text的值
+#         words=text.lower().split() #将text小写字母化后切片给words赋值
+#         r=collections.Counter(words).most_common(count)
+# #       z=b.most_common(5)
+# #       b=set(words) #将words去掉重复项赋值给B
+# #       for word in b: #在B里的每个单词循环
+# #           d=words.count(word) #计算每个单词在words里出现的次数，赋值给D
+# #           words_dict[word]=d #每个单词及出现的次数以字典的方式存储在words_dict
+# #       e=sorted(words_dict.items(),key=lambda t:t[1],reverse=True) #将字典里的项目按值的大小降序排列
+#         print(r) #打印E
+#     else: 
+#         raise ValueError('文本类型不是英文')
+#         print(ValueError.__context__)
+#     return
+# stats_text_en(text) 
+# def stats_text_cn  (text1): #定义函数stats_text_cn    
+# #    text1=input('请输入文字:\n')
+#     count=10
+#     import collections
+#     if type(text1) is str:
+#        import re               #导入模块
+#        i=r"[\u4e00-\u9fa5]"    #unicode代码库
+#        j= re.compile(i)        #将创建的模式对像赋值给J
+#        k= re.findall(j,text1)  #将与模式与文本匹配得到的unicode代码赋值给K
+#        q=collections.Counter(k).most_common(count)
+# #       dict={}                 #建空字典
+# #       for l in k:             #在K内每个字循环
+# #           m=k.count(l)        #计算每个字K里出现的次数赋值给M
+# #           dict[l]=m           #将每一项存入字典
+# #       q=sorted(dict.items(),key=lambda y:y[1],reverse=True) #字典项按出现次数降序
+#        print(q)                #打印排序后的结果
+#     else: 
+#         raise ValueError('文本类型不是字符串')
+#         print(ValueError.__context__)
+#     return                    #返回
+# stats_text_cn(text1) 
+   
+#def stats_text_en1 (text):
+#    a = counter()
+#    if type(text) is str:
+#       x='*-,.!' #列出要替换的标点符号
+#       for c in x: #按每个标点在X里面循环
+#           text=text.replace(c,'')#重置的text的值
+#           words=text.lower().split() #将text小写字母化后切片给words赋值
+#    a=collections.Counter(words).most_common(10)
+#    print(a)
+#    return
+#stats_text_en1(text)
+# def tang_count ():   
+#     count=100
+#     import collections
+#     import json
+#     import re
+#     with open('/Users/mayjiao/Documents/GitHub/selfteaching-python-camp/exercises/1901100169/D9/mymodule/tang300.json','r',encoding='utf-8') as f:
+#         k=f.read()
+#         j= re.compile(r"[\u4e00-\u9fa5]")      
+#         m= re.findall(j,k)  
+#         q=collections.Counter(m).most_common(count)
+#         print(q)
+#     return
+# tang_count()
+
+
+
+def stats_text_cn(url,count):
+    from pyquery import PyQuery
+    import requests
+    import re
+    import collections
+    import jieba
+    import string
+    
+    response = requests.get(url)
+    document = PyQuery(response.text)
+    content = document('#js_content').text()
+    content1 = [x for x in jieba.cut(content) if len(x) >= 2]  #使用精确模式分词
+    q=collections.Counter(content1).most_common(count)
+    a=str(q)
+#    print(a)
+#    sender = '[email protected]'
+    # password = 'Dvnuars1238^_^'
+    # recipients = '[email protected]'
+#    yagmail.register(sender,password)
+    return a
+#stats_text_cn()
+def send_mail():
+    import yagmail
+    import getpass
+    url='https://mp.weixin.qq.com/s/pLmuGoc4bZrMNl7MSoWgiA'
+    sender = input('输入发件人邮箱:')
+    password = getpass.getpass('输入发件人邮箱密码:')
+    recipients = input('输入收件人邮箱:') 
+    content=stats_text_cn(url,100)
+    yag=yagmail.SMTP(user=sender,password=password,host='smtp.163.com')
+    yag.send(to=recipients,subject="1901100169 自学训练营17群 DAY11 MayJiao",contents=content)
+    return
+send_mail()