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基于python历史天气采集的分析

2019-11-25 13:17:27
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分析历史天气的趋势。

先采集

python历史天气采集

python历史天气采集

python历史天气采集

代码:

#-*- coding:utf-8 -*-import requestsimport randomimport MySQLdbimport xlwtfrom bs4 import BeautifulSoupuser_agent=['Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.87 Safari/537.36',    'Mozilla/5.0 (X11; U; Linux x86_64; zh-CN; rv:1.9.2.10) Gecko/20100922 Ubuntu/10.10 (maverick) Firefox/3.6.10',    'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.64 Safari/537.11',    'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.101 Safari/537.36',    'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.71 Safari/537.1 LBBROWSER',    'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E; QQBrowser/7.0.3698.400)',    ]headers={'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8','Accept-Encoding': 'gzip, deflate, sdch','Accept-Language': 'zh-CN,zh;q=0.8','User-Agent': user_agent[random.randint(0,5)]} myfile=xlwt.Workbook()wtable=myfile.add_sheet(u"历史天气",cell_overwrite_ok=True)wtable.write(0,0,u"日期")wtable.write(0,1,u"最高温度")wtable.write(0,2,u"最低温度")wtable.write(0,3,u"天气")wtable.write(0,4,u"风向")wtable.write(0,5,u"风力") db = MySQLdb.connect('localhost','root','liao1234','liao',charset='utf8')cursor = db.cursor() index = requests.get("http://lishi.tianqi.com/binjianqu/index.html",headers=headers)html_index = index.textindex_soup = BeautifulSoup(html_index)i = 1for href in index_soup.find("div",class_="tqtongji1").find_all("a"):  print href.attrs["href"]    url = href.attrs["href"]  r = requests.get(url,headers = headers)  html = r.text  #print html  soup = BeautifulSoup(html)  ss = []  s = []  for tag in soup.find("div",class_="tqtongji2").find_all("li"):    print tag.string    s.append(tag.string)    if len(s) == 6:      ss.append(s)      s = []  flag = 0  for s in ss:    if flag == 0:      flag = 1      continue    else:      sql = "insert into weather(old_date,hight,low,weather,wind,wind_power) values('%s','%s','%s','%s','%s','%s')"%(s[0],s[1],s[2],s[3],s[4],s[5])      cursor.execute(sql)      wtable.write(i,0,s[0])      wtable.write(i,1,s[1])      wtable.write(i,2,s[2])      wtable.write(i,3,s[3])      wtable.write(i,4,s[4])      wtable.write(i,5,s[5])      i += 1myfile.save("weather.xls")db.close()

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