本文为 AI 研习社编译的技术博客,原标题 : I was looking for a house, so I built a web scraper inPython! 作者 |Fábio Neves翻译 | Disillusion 校对 | 酱番梨 整理 | 菠萝妹 原文链接: https://towardsdatascience.com/looking-for-a-house-build-a-web-scraper-to-help-you-5ab25badc83e 要找...
secret=xxx&num=1&type=json&port=1&time=3&mr=1&sign=xxx'try:datas=requests.get(proxy_url).json()#如果代理ip获取成功ifdatas['code']==1000:data_array=datas['data']foriinrange(len(data_array)):proxy_ip=data_array[i]['ip']proxy_port=str(data_array[i]['port'])proxy=proxy_ip+":...
先把它关掉。然后说到这个扫码的话,就会涉及到另外的一个库,这个库的话就是刚才我们说的那个。Q2扣的对吧?Type in style q r code。那这个扣子呢,已装已经装好了,我们可以看一下整个一个list。 10:03 You are cold。这个现在的版本是6.1的版本啊。然后呢,我们在这个S里边。嗯。往上一层。Make d创建...
house_type = [i.get_text() for i in house_type] # 写字楼,底商... house_type = ' '.join(house_type) # print(house_type) "销售状态" sale_status = house.select('.resblock-name span.sale-status') sale_status = [i.get_text() for i in sale_status] # 在售,在售,售罄,在售....
try: for each_house in index_soup.find_all('li', class_='clear LOGVIEWDATA LOGCLICKDATA'): each_house_dict = { 'house_code': each_house.find('div', class_='title').find('a')['data-housecode'], 'house_url': each_house.find('div', class_='title').find('a')['href'],...
import random checkcode = '' for i in range(4): current = random.randrange(0,4) if current != i: temp = chr(random.randint(65,90)) else: temp = random.randint(0,9) checkcode += str(temp) print checkcode 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 4. os模块 os.getcwd() 获...
checkcode=""foriinrange(4): index= random.randrange(0, 4)ifindex != iandindex + 1 !=i: checkcode+= chr(random.randint(97, 122))#生成a~z中的一个小写字母elifindex + 1 ==i: checkcode+= chr(random.randint(65, 90))#生成A~Z中的一个大写字母else: ...
x = house['area'] y = house['price'] plt.scatter(x,y,s=2.5) plt.title("房屋面积对二手房价的影响") plt.show() [/code]  全部数据的散点图分布很乱,看不到明显的规律。结合前面对行政区划的分析,自然想到16个行政区内房价应该存在不同的分布...
CODE_OF_CONDUCT.md prettier (#4941) 2个月前 CONTRIBUTING.md add python version for development (#5186) 15天前 LICENSE Rename pynecone to reflex (#1236) 2年前 README.md Update translated docs (#5208) 5天前 SECURITY.md update supported version in security (#5128) ...
import codecsfrombs4 import BeautifulSoup print("***处理开始***")with open(r'..\sh.csv','wb+')asfp:fp.write(codecs.BOM_UTF8)f=open(r'..\sh.csv','w+',newline='',encoding='utf-8')writer=csv.writer(f)urls=[]# 所有小地区对应的标识 list...