request爬取energyplus天气数据并整理二维字典

爬虫模块

思路以lxml模块为主进行网页解析。用zipfile和tempfile对下载到的zip文件进行解压。
运行代码会在当前文件夹下创建data,并在里面下载所有的天气数据。

值得注意的是,网站存在访问限制,由于有代理服务器,所以没有加sleep,也没有测试网站反爬虫的上限,如果没有代理谨慎使用,或者保守添加停等策略。

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import requests
import zipfile
import tempfile
from lxml import etree

def get_data(url):
#url = "https://energyplus.net/weather-download/asia_wmo_region_2/CHN//CHN_Anhui.Huoshan.583140_CSWD/all"
response = requests.get(url)
return url, response.content
def unzip(filename,data):
_tmp_file = tempfile.TemporaryFile() # 创建临时文件
#print(_tmp_file)

_tmp_file.write(data) # byte字节数据写入临时文件
# _tmp_file.seek(0)

zf = zipfile.ZipFile(_tmp_file, mode='r')
for names in zf.namelist():
f = zf.extract(names, './data/'+filename) # 解压到data目录文件下
print(f)
zf.close()

if __name__ == '__main__':
url_main = 'https://energyplus.net/weather-region/asia_wmo_region_2/CHN'
response = requests.get(url_main)
#print(response.content)
html = etree.HTML(response.content)
name_city = html.xpath('/html/body/div[2]/div/section/div/section/div/a/@href ')
print(len(name_city))

for i in range(len(name_city)):
#print(name_i)
s = name_city[i+315].split('/')
# print("https://energyplus.net/weather-download/asia_wmo_region_2/CHN//"+s[-1]+"/all")
url = "https://energyplus.net/weather-download/asia_wmo_region_2/CHN//"+s[-1]+"/all"
if "CSWD" not in url:
continue
print(i+315)
print(url)
url, data = get_data(url)
unzip(s[-1],data)
#exit(0)
# url = "https://energyplus.net/weather-download/asia_wmo_region_2/CHN//CHN_Anhui.Huoshan.583140_CSWD/all"
# url, data = get_data(url) # data为byte字节

更换三轮IP,爬完全部数据。如需其余国家的数据,修改url一行的路由即可。结果如图

数据整理模块

此处必须使用二维索引字典,因为第一索引是省份,第二索引是city名。二维索引字典增添键值对需要进行判断。具体详见代码。。。

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import os

filePath = "./"
for _,d,_ in os.walk(filePath):
break
# 很奇怪为什么是一个迭代对象?难道是迭代打开子目录?
def addtwodimdict(thedict, key_a, key_b, val):
if key_a in thedict:
thedict[key_a].update({key_b: val})
else:
thedict.update({key_a:{key_b: val}})

main_dic = dict(dict())
for name in d:
#print(name.split("."))
province,city = name.split(".")[0][4:],name.split(".")[-2]
#print(province,city)
# if province in main_dic.keys():
#main_dic[province][city] = name
addtwodimdict(main_dic,province,city,name)

#print(main_dic)
# import json
# print(json.dumps(main_dic,indent = 4))

结果如图

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