import requests
from bs4 import BeautifulSoup
import lxml
import json
from echarts import Echart,Bar,Axis
import time
#城市与温度的集合
weather_list = []
#城市集合
city_list = []
#温蒂集合
lowest_list =[]
#获取温度
def getTemperature(url):
result = requests.get(url)
#print result.content
soup = BeautifulSoup(result.content,'lxml')
div_conMidTab = soup.find("div",attrs={'class':'conMidtab'})
div_conMidTab2 = div_conMidTab.find_all("div",attrs={'class':'conMidtab2'})
for x in div_conMidTab2:
tr_list = x.find_all("tr")[2:]
provider =''
for index,tr in enumerate(tr_list):
td_list = tr.find_all('td')
if index ==0:
provider = td_list[0].text.replace('\n','')
city = td_list[1].text.replace('\n','')
#最高温度
hight_temperature = td_list[4].text
#最低温度
low_temperatrue = td_list[7].text
else:
city = td_list[0].text.replace('\n','')
# 最高温度
hight_temperature = td_list[3].text
#最低温度
low_temperatrue = td_list[6].text
print provider+' '+city+' '+low_temperatrue+'~'+hight_temperature
weather_list.append({
'city':provider+city,
'min':low_temperatrue
})
city_list.append(provider+city)
lowest_list.append(low_temperatrue)
print '-' * 40
def main():
result = requests.get('http://www.weather.com.cn/textFC/hb.shtml')
soup = BeautifulSoup(result.content,'lxml')
#获取华东，华北...等地区对应的url港澳台的数据格式不一样，过滤掉
li_list = soup.find("ul",attrs={'class':'lq_contentboxTab2'}).find_all('li')[0:-1]
#遍历获取数据
for li in li_list:
url = 'http://www.weather.com.cn/'+li.find('a')['href']
getTemperature(url)
time.sleep(1)
#写到本地文件
# line = json.dumps(weather_list,ensure_ascii=False)
# with open ('weather.json','w') as fp:
# fp.write(line.encode('utf-8'))
#读取本地的json文件
# with open('weather.json', 'r') as fp:
# weather_list = json.load(fp,encoding='utf-8')
#将数据进行排序
sort_weather_list = sorted(weather_list,lambda x,y:cmp(int(x['min']),int(y['min'])))
#获取前20名
TOP10_SORT_WEATHER_LIST = sort_weather_list[0:20]
TOP10_CITY = []
TOP10_MIN = []
#遍历将城市和低温放到新的集合中
for city_min in TOP10_SORT_WEATHER_LIST:
TOP10_CITY.append(city_min['city'])
TOP10_MIN.append(city_min['min'])
#创建表格
echart = Echart(u'低温排名','温度')
#柱状图
bar = Bar(u'最低温度',TOP10_MIN)
#坐标
axis = Axis('category','bottom',data = TOP10_CITY)
echart.use(bar)
echart.use(axis)
echart.plot()
if __name__ == '__main__':
main()
