基於python歷史天氣採集的分析

分析歷史天氣的趨勢。

先採集**：

#-*- 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 (m**erick) 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 程式設計客棧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; qqbrows',

]headers=

myfile=xlwt.workbook()

wtable=myfile.add_sheet(u"歷史天氣",cell_overwrite_ok=true)

wtable.write(0,0,u"日期")

wtable.write(0,1,u"最高溫度")

wtable.write(0,2,u"最低溫度")

wtable.write(0,3,u"天氣")

wtable.write(0,4,u"風向")

wtable.write(0,5,u"風力")

db = mysqldb.connect('localhost','root','liao1234','liao',charset='utf8')

cursor = db.cursor()

in程式設計客棧dex = requests.get("",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.s**e("weather.xls")

db.close()flnjydvend

本文標題: 基於python歷史天氣採集的分析

本文位址:

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