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分析历史天气的趋势。
先采集
代码：
#-*- coding:utf-8 -*-
import requests
import random
import MySQLdb
import xlwt
from bs4 import BeautifulSoup
user_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.text
index_soup = BeautifulSoup(html_index)
i = 1
for 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 += 1
myfile.save("weather.xls")
db.close()关于“基于python历史天气采集的示例分析”这篇文章就分享到这里了，希望以上内容可以对大家有一定的帮助，使各位可以学到更多知识，如果觉得文章不错，请把它分享出去让更多的人看到。
