python天气接口

① 有哪些免费开放且收录城市较完整的天气 API 接口

一 天气预报
国内的天气预报数据，主要是国家气象局和国外两个来源（指数据来源）。
国外方面主要是雅虎（XML格式，谷歌已经停掉了自家的天气API）；
国内数据由国家气象局提供（JSON格式）。
在知乎看到过一篇专业人士评论，雅虎可以提供全球范围的且非常精细的天气数据（小时级更新），但主要是通过计算机自动生成。而国家气象局则是各地经验丰富的专家人士结合计算机综合分析得出，在准确性上更胜一筹。我就这样信了！

国家气象局接口资源及用法
气象局的天气预报主页：移动版普通版 ,仔细挖掘这两个地址可以发现很多好东西哦。
特点：接口多，来自http://weather.com.cn和http://mobile.weather.com.cn都有，次数不限制，服务稳定，功能全面，优先推荐。

1. 实时天气接口
有多个接口，好像差别不大：
实时天气1：http://www.weather.com.cn/data/sk/101190408.html
实时天气2：http://www.weather.com.cn/data/cityinfo/101190408.html
实时天气3（带时间戳）：http://mobile.weather.com.cn/data/sk/101010100.html?_=1381891661455
2. 一周天气预报接口
7天预报数据 URL： http://mobile.weather.com.cn/data/forecast/101010100.html?_=1381891660081
该接口来源气象局移动版网站，目测数据最为精确，详细接口格式如下：
{"c":{"c1":"101010100","c2":"beijing","c3":"北京","c4":"beijing","c5":"北京","c6":"beijing","c7":"北京","c8":"china","c9":"中国","c10":"1","c11":"010","c12":"100000","c13":"116.391","c14":"39.904","c15":"33","c16":"AZ9010","c17":"+8"},
"f":{"f1":
[
{"fa":"01","fb":"03","fc":"10","fd":"5","fe":"0","ff":"0","fg":"0","fh":"0","fi":"06:21|17:40"},
{"fa":"07","fb":"07","fc":"19","fd":"12","fe":"0","ff":"0","fg":"0","fh":"0","fi":"06:22|17:38"},
{"fa":"02","fb":"00","fc":"15","fd":"5","fe":"8","ff":"8","fg":"3","fh":"1","fi":"06:23|17:37"},
{"fa":"00","fb":"00","fc":"16","fd":"4","fe":"0","ff":"0","fg":"0","fh":"0","fi":"06:24|17:35"},
{"fa":"00","fb":"00","fc":"18","fd":"7","fe":"0","ff":"0","fg":"0","fh":"0","fi":"06:25|17:34"},
{"fa":"00","fb":"01","fc":"18","fd":"8","fe":"0","ff":"0","fg":"0","fh":"0","fi":"06:26|17:32"},
{"fa":"01","fb":"01","fc":"16","fd":"6","fe":"0","ff":"0","fg":"0","fh":"0","fi":"06:27|17:31"}],
"f0":"201310121100"}}

详细接口分析如下：
//格式说明
var format={fa:图片1,fb：图片2,fc:温度1,fd：温度2,fe:风向1,ff：风向2,fg:风力1,fh：风力2,fi:日出日落};
//定义天气类型
var weatherArr={"00":"晴","01":"多云","02":"阴","03":"阵雨","04":"雷阵雨","05":"雷阵雨伴有冰雹","06":"雨夹雪","07":"小雨","08":"中雨","09":"大雨","10":"暴雨","11":"大暴雨","12":"特大暴雨","13":"阵雪","14":"小雪","15":"中雪","16":"大雪","17":"暴雪","18":"雾","19":"冻雨","20":"沙尘暴","21":"小到中雨","22":"中到大雨","23":"大到暴雨","24":"暴雨到大暴雨","25":"大暴雨到特大暴雨","26":"小到中雪","27":"中到大雪","28":"大到暴雪","29":"浮尘","30":"扬沙","31":"强沙尘暴","53":"霾","99":""};
//定义风向数组
var fxArr={"0":"无持续风向","1":"东北风","2":"东风","3":"东南风","4":"南风","5":"西南风","6":"西风","7":"西北风","8":"北风","9":"旋转风"};
//定义风力数组
var flArr={"0":"微风","1":"3-4级","2":"4-5级","3":"5-6级","4":"6-7级","5":"7-8级","6":"8-9级","7":"9-10级","8":"10-11级","9":"11-12级"};

6天预报数据 URL： http://m.weather.com.cn/data/101190408.html
该接口来源网络，应该是一个流传比较久的接口，大发现准确性和稳定性可能不稳定。接口分析如下：
{"weatherinfo":{
#基本信息
"city":"北京","city_en":"beijing","date_y":"2013年9月24日","date":"","week":"星期二","fchh":"11","cityid":"101010100",
#6天温度范围
"temp1":"22℃~11℃","temp2":"25℃~11℃","temp3":"26℃~13℃","temp4":"25℃~15℃","temp5":"25℃~16℃","temp6":"24℃~16℃",
#6天温度范围（华氏）
"tempF1":"71.6℉~51.8℉","tempF2":"77℉~51.8℉","tempF3":"78.8℉~55.4℉","tempF4":"77℉~59℉","tempF5":"77℉~60.8℉","tempF6":"75.2℉~60.8℉",
#6天天气
"weather1":"多云转晴","weather2":"晴","weather3":"晴","weather4":"晴转多云","weather5":"阴转阵雨","weather6":"多云",
#6天天气图示（每天2张）
"img1":"1","img2":"0","img3":"0","img4":"99","img5":"0","img6":"99","img7":"0","img8":"1","img9":"2","img10":"3","img11":"1","img12":"99",
"img_single":"1",
#6天天气图示文字（每天2）
"img_title1":"多","img_title2":"晴","img_title3":"晴","img_title4":"晴","img_title5":"晴","img_title6":"晴","img_title7":"晴","img_title8":"多云","img_title9":"阴","img_title10":"阵雨","img_title11":"多云","img_title12":"多云",
"img_title_single":"多云",
#6天风
"wind1":"北风3-4级转微风","wind2":"微风","wind3":"微风","wind4":"微风","wind5":"微风","wind6":"微风",
"fx1":"北风","fx2":"微风",
#6天风力情况
"fl1":"3-4级转小于3级","fl2":"小于3级","fl3":"小于3级","fl4":"小于3级","fl5":"小于3级","fl6":"小于3级",
#24小时内
"index":"较冷","index_d":"建议着大衣、呢外套加毛衣、卫衣等服装。体弱者宜着厚外套、厚毛衣。因昼夜温差较大，注意增减衣服。",
#48小时内
"index48":"较舒适","index48_d":"建议着薄外套或牛仔衫裤等服装。年老体弱者宜着夹克衫、薄毛衣等。昼夜温差较大，注意适当增减衣服。",
#紫外 洗车 旅游 舒适指数 晨练 晾晒 过敏
"index_uv":"弱",
"index48_uv":"强",
"index_xc":"适宜",
"index_tr":"适宜",
"index_co":"舒",
"st1":"21","st2":"12","st3":"24","st4":"12","st5":"25","st6":"14", #不明
"index_cl":"较适宜",
"index_ls":"适宜",
"index_ag":"极易发"
}}

② 如何使用python利用api获取天气预报

这个和用不用python没啥关系，是数据来源的问题。调用淘宝API，使用 api相关接口获得你想要的内容，我 记得api中有相关的接口，你可以看一下接口的说明。用python做爬虫来进行页面数据的获取。希望能帮到你。

③ 求助：用python获取天气预报

# 获取温度、湿度、风力等
WEATHER_URL_A = "http://www.weather.com.cn/data/sk/%s.html"

# 获取天气状况、最大/小温度等
WEATHER_URL_B = "http://www.weather.com.cn/data/cityinfo/%s.html"

# 获取未来7天天气数据
WEATHER_URL_C = "http://www.weather.com.cn/weather/%s.shtml"

URL里%s指城市对应的代码。详细参考：
http://www.cnblogs.com/toosuo/p/3868004.html
不过这篇文章里有的接口已经不能用了。
上面我给的三个URL里，前两个直接返回json格式数据；第三个返回是一个页面，需要自己从页面里提取想要的信息。

④ Python获取本土的天气和任意城市的天气怎么解决

返回的数据是经过gzip压缩的，如果你用urllib，需要先把获取的二进制数据解压，再解码成字符串，包括编码都帮你自动解决，不需要自己操心。

⑤ 帮我做一个代码成为.py文件，用来python抓取空气质量历史数据

前几天在通过丫丫的接口截取的天气数据，你可以参考一下。

我就是随便写着玩的。

⑥ 天气预报API接口是什么

天气预报API接口是气象服务商为客户提供服务的唯一接口。拿墨迹赤必为例，跟客户充分沟通后了解客户的实际需求，从而对现有的数据进行调整，符合客户的需求形成API接口，让客户接入，这样就形成了一个完整的服务。所以说API接口并不是一个很神秘的东西，只不过是企业和客户之间的一条服务纽带。

⑦ 如何得到天气情况在那个接口获取

据我所知，气象局提供三个天气查询接口，如下：

1、实时天气接口
地址：http://www.weather.com.cn/data/ sk/【城市代码】.html
例如：查询北京实时天气：
http://www.weather.com.cn/data/sk/101010100.html
结果：
{"weatherinfo":{"city":"北京","cityid":"101010100","temp":"13","WD":"南风","WS":"2","SD":"59%","WSE":"2","time":"10:30","isRadar":"1","Radar":"JC_RADAR_AZ9010_JB"}}
2、今日天气接口
地址：http://www.weather.com.cn/data/cityinfo/【城市代码】.html
例如：查询北京今日天气：
http://www.weather.com.cn/data/cityinfo/101010100.html
结果：
{"weatherinfo":{"city":"北京","cityid":"101010100","temp1":"15","temp2":"5℃","weather":"阵雨转阴","img1":"d3.gif","img2":"n2.gif","ptime":"08:00"}}
3、今日及未来天气接口【内容最详细】
地址：http://m.weather.com.cn/data/【城市代码】.html
例如：查询北京今日及未来天气：
http://m.weather.com.cn/data/101010100.html
结果：
{"weatherinfo":{"city":"北京","city_en":"beijing","date_y":"2013年10月22日","date":"",
"week":"星期二","fchh":"08","cityid":"101010100","temp1":"15℃~5℃","temp2":"15℃~4℃……
…【省略】"index_tr":"适宜","index_co":"较舒适",
"st1":"11","st2":"1","st3":"13","st4":"5","st5":"14","st6":"4","index_cl":"较不宜",
"index_ls":"不太适宜","index_ag":"不易发"}}

参考：
http://www.haodaima.net/art/2322340

⑧ python怎么自动抓取网页上每日天气预报

使用到了urllib库和bs4。bs4提供了专门针对html的解析功能，比用RE方便许多。
# coding : UTF-8import sys
reload(sys)
sys.setdefaultencoding( "utf-8" )from bs4 import BeautifulSoupimport csvimport urllibdef get_html(url):
html = urllib.urlopen(url) return html.read()def get_data(html_text):
final = []
bs = BeautifulSoup(html_text, "html.parser")
body = bs.body
data = body.find('div', {'id': '7d'})
ul = data.find('ul')
li = ul.find_all('li') for day in li:
temp = []
date = day.find('h1').string
temp.append(date)
inf = day.find_all('p')
temp.append(inf[0].string,) if inf[1].find('span') is None:
temperature_highest = None
else:
temperature_highest = inf[1].find('span').string
temperature_highest = temperature_highest.replace('C', '')
temperature_lowest = inf[1].find('i').string
temperature_lowest = temperature_lowest.replace('C', '')
temp.append(temperature_highest)
temp.append(temperature_lowest)
final.append(temp) return finaldef write_data(data, name):
file_name = name with open(file_name, 'a') as f:
f_csv = csv.writer(f)
f_csv.writerows(data)if __name__ == '__main__':
html_doc = get_html('http://www.weather.com.cn/weather/101190401.shtml')
result = get_data(html_doc)
write_data(result, 'weather.csv') print
运行结果保存在csv文件中