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특정 도시의 주간 기온을 횡단하는 Python 방법 분석

Y2J원래의: 2017-04-28 09:17:361473검색
이 글에서는 Python을 이용하여 특정 도시의 온도를 일주일 동안 횡단하는 구현 방법을 주로 소개합니다. 참고값이 아주 좋습니다. 편집자와 함께 살펴보겠습니다.
관심을 끌면서 특정 도시의 일기예보를 5일 이내에 작성하여 화씨로 변환했습니다.
도시를 쉽게 추가할 수 있도록 도시 이름을 목록에 작성하세요. 그리고 자세한 메모와 함께
import requests
import json
#定义一个函数 避免代码重写多次。
def gettemp(week,d_or_n,date):
 wendu=data[&#39;result&#39;][&#39;weather&#39;][week][&#39;info&#39;][d_or_n][date] #对字典进行拆分
 return int(wendu)

def getft(t):
 ft=t*1.8+32
 return float(str(ft)[0:4])

cities=[&#39;保定&#39;,&#39;北京&#39;,&#39;上海&#39;,&#39;武汉&#39;,&#39;郑州&#39;,&#39;齐齐哈尔&#39;] #这里可以指定想要遍历的城市
url=&#39;http://api.avatardata.cn/Weather/Query?key=68e75677978441f6872c1106175b8673&cityname=&#39; #用于和cities里的城市进行字符串拼接
low=0
high=2
for city in cities:
 r = requests.get(url+city) # 最基本的GET请求
 #print(r.status_code)  获取返回状态200是成功
 #print(r.text) 打印解码后的返回数据
 data=json.loads(r.text) #返回的json数据被转换为字典类型
 #print(type(data)) data 的数据类型是字典 所以可以按照字典操作（字典里的列表就按列表操作）
 print(city,&#39;近五天天气预报：&#39;)
 for i in range(5):
  week=&#39;周&#39;+str(data[&#39;result&#39;][&#39;weather&#39;][i][&#39;week&#39;]) #对字典类型进行逐个拆分 如列表 元组等。
  daylow=gettemp(i,&#39;day&#39;,low)
  dlf=getft(daylow)
  dayhigh=gettemp(i,&#39;day&#39;,high)
  dhf=getft(dayhigh)
  nightlow=gettemp(i,&#39;night&#39;,low)
  nlf=getft(nightlow)
  nighthigh=gettemp(i,&#39;night&#39;,high)
  nhf=getft(nighthigh)
  print(week,&#39;白天气温:&#39;,daylow,&#39;~&#39;,dayhigh,&#39;摄氏度&#39;,&#39;晚上气温:&#39;,nightlow,&#39;~&#39;,nighthigh,&#39;摄氏度&#39;)
  print(&#39; &#39;,&#39;白天气温:&#39;,dlf,&#39;~&#39;,dhf,&#39;华氏度&#39;,&#39;晚上气温:&#39;,nlf,&#39;~&#39;,nhf,&#39;华氏度&#39;)
 print(&#39;\n&#39;)

{"result":{"realtime":{"wind":{"windspeed":null,"direct":"西风","power":"3级","offset":null},"time":"16:00:00","weather":{"humidity":"27","img":"0","info":"晴","temperature":"13"},"dataUptime":"1490517362","date":"2017-03-26","city_code":"101090201","city_name":"保定","week":"0","moon":"二月廿九"},"life":{"date":"2017-3-26","info":{"kongtiao":["开启制暖空调","您将感到有些冷，可以适当开启制暖空调调节室内温度，以免着凉感冒。"],"yundong":["较适宜","天气较好，但考虑风力较强且气温较低，推荐您进行室内运动，若在户外运动注意防风并适当增减衣物。"],"ziwaixian":["中等","属中等强度紫外线辐射天气，外出时建议涂擦SPF高于15、PA+的防晒护肤品，戴帽子、太阳镜。"],"ganmao":["较易发","昼夜温差较大，较易发生感冒，请适当增减衣服。体质较弱的朋友请注意防护。"],"xiche":["较适宜","较适宜洗车，未来一天无雨，风力较小，擦洗一新的汽车至少能保持一天。"],"wuran":null,"chuanyi":["冷","天气冷，建议着棉服、羽绒服、皮夹克加羊毛衫等冬季服装。年老体弱者宜着厚棉衣、冬大衣或厚羽绒服。"]}},"weather":[{"date":"2017-03-26","week":"日","nongli":"二月廿九","info":{"dawn":null,"day":["0","晴","17","西北风","3-4 级","06:12"],"night":["0","晴","2","西南风","微风","18:36"]}},{"date":"2017-03-27","week":"一","nongli":"二月三十","info":{"dawn":["0","晴","2","西南风","微风","18:36"],"day":["0","晴","15","南风","微风","06:11"],"night":["7","小雨","3","南风","微风","18:37"]}},{"date":"2017-03-28","week":"二","nongli":"三月初一","info":{"dawn":["7","小雨","3","南风","微风","18:37"],"day":["1","多云","15","南风","微风","06:09"],"night":["0","晴","3","南风","微风","18:38"]}},{"date":"2017-03-29","week":"三","nongli":"三月初二","info":{"dawn":["0","晴","3","南风","微风","18:38"],"day":["0","晴","18","南风","微风","06:08"],"night":["0","晴","3","北风","微风","18:39"]}},{"date":"2017-03-30","week":"四","nongli":"三月初三","info":{"dawn":["0","晴","3","北风","微风","18:39"],"day":["0","晴","17","北风","微风","06:06"],"night":["0","晴","3","北风","微风","18:40"]}}],"pm25":{"key":"Baoding","show_desc":"0","pm25":{"curPm":"34","pm25":"14","pm10":"26","level":"1","quality":"优","des":"空气很好，可以外出活动"},"dateTime":"2017年03月26日16时","cityName":"保定"},"isForeign":0},"error_code":0,"reason":"Succes"}
这是返回的一个json数据，可以通过json格式化工具查看会方便一些，通过json.loads其实都是字典列表的一些嵌套，而想要取的数据 在字典里"result"里， 而data[&#39;result&#39;] 又是一个字典，
{&#39;life&#39;: {&#39;date&#39;: &#39;2017-3-26&#39;, &#39;info&#39;: {&#39;yundong&#39;: [&#39;较适宜&#39;, &#39;天气较好，但考虑风力较强且气温较低，推荐您进行室内运动，若在户外运动注意防风并适当增减衣物。&#39;], &#39;xiche&#39;: [&#39;较适宜&#39;, &#39;较适宜洗车，未来一天无雨，风力较小，擦洗一新的汽车至少能保持一天。&#39;], &#39;ganmao&#39;: [&#39;较易发&#39;, &#39;昼夜温差较大，较易发生感冒，请适当增减衣服。体质较弱的朋友请注意防护。&#39;], &#39;ziwaixian&#39;: [&#39;中等&#39;, &#39;属中等强度紫外线辐射天气，外出时建议涂擦SPF高于15、PA+的防晒护肤品，戴帽子、太阳镜。&#39;], &#39;chuanyi&#39;: [&#39;冷&#39;, &#39;天气冷，建议着棉服、羽绒服、皮夹克加羊毛衫等冬季服装。年老体弱者宜着厚棉衣、冬大衣或厚羽绒服。&#39;], &#39;wuran&#39;: None, &#39;kongtiao&#39;: [&#39;开启制暖空调&#39;, &#39;您将感到有些冷，可以适当开启制暖空调调节室内温度，以免着凉感冒。&#39;]}}, &#39;weather&#39;: [{&#39;date&#39;: &#39;2017-03-26&#39;, &#39;week&#39;: &#39;日&#39;, &#39;info&#39;: {&#39;dawn&#39;: None, &#39;night&#39;: [&#39;0&#39;, &#39;晴&#39;, &#39;2&#39;, &#39;西南风&#39;, &#39;微风&#39;, &#39;18:36&#39;], &#39;day&#39;: [&#39;0&#39;, &#39;晴&#39;, &#39;17&#39;, &#39;西北风&#39;, &#39;3-4 级&#39;, &#39;06:12&#39;]}, &#39;nongli&#39;: &#39;二月廿九&#39;}, {&#39;date&#39;: &#39;2017-03-27&#39;, &#39;week&#39;: &#39;一&#39;, &#39;info&#39;: {&#39;dawn&#39;: [&#39;0&#39;, &#39;晴&#39;, &#39;2&#39;, &#39;西南风&#39;, &#39;微风&#39;, &#39;18:36&#39;], &#39;night&#39;: [&#39;7&#39;, &#39;小雨&#39;, &#39;3&#39;, &#39;南风&#39;, &#39;微风&#39;, &#39;18:37&#39;], &#39;day&#39;: [&#39;0&#39;, &#39;晴&#39;, &#39;15&#39;, &#39;南风&#39;, &#39;微风&#39;, &#39;06:11&#39;]}, &#39;nongli&#39;: &#39;二月三十&#39;}, {&#39;date&#39;: &#39;2017-03-28&#39;, &#39;week&#39;: &#39;二&#39;, &#39;info&#39;: {&#39;dawn&#39;: [&#39;7&#39;, &#39;小雨&#39;, &#39;3&#39;, &#39;南风&#39;, &#39;微风&#39;, &#39;18:37&#39;], &#39;night&#39;: [&#39;0&#39;, &#39;晴&#39;, &#39;3&#39;, &#39;南风&#39;, &#39;微风&#39;, &#39;18:38&#39;], &#39;day&#39;: [&#39;1&#39;, &#39;多云&#39;, &#39;15&#39;, &#39;南风&#39;, &#39;微风&#39;, &#39;06:09&#39;]}, &#39;nongli&#39;: &#39;三月初一&#39;}, {&#39;date&#39;: &#39;2017-03-29&#39;, &#39;week&#39;: &#39;三&#39;, &#39;info&#39;: {&#39;dawn&#39;: [&#39;0&#39;, &#39;晴&#39;, &#39;3&#39;, &#39;南风&#39;, &#39;微风&#39;, &#39;18:38&#39;], &#39;night&#39;: [&#39;0&#39;, &#39;晴&#39;, &#39;3&#39;, &#39;北风&#39;, &#39;微风&#39;, &#39;18:39&#39;], &#39;day&#39;: [&#39;0&#39;, &#39;晴&#39;, &#39;18&#39;, &#39;南风&#39;, &#39;微风&#39;, &#39;06:08&#39;]}, &#39;nongli&#39;: &#39;三月初二&#39;}, {&#39;date&#39;: &#39;2017-03-30&#39;, &#39;week&#39;: &#39;四&#39;, &#39;info&#39;: {&#39;dawn&#39;: [&#39;0&#39;, &#39;晴&#39;, &#39;3&#39;, &#39;北风&#39;, &#39;微风&#39;, &#39;18:39&#39;], &#39;night&#39;: [&#39;0&#39;, &#39;晴&#39;, &#39;3&#39;, &#39;北风&#39;, &#39;微风&#39;, &#39;18:40&#39;], &#39;day&#39;: [&#39;0&#39;, &#39;晴&#39;, &#39;17&#39;, &#39;北风&#39;, &#39;微风&#39;, &#39;06:06&#39;]}, &#39;nongli&#39;: &#39;三月初三&#39;}], &#39;isForeign&#39;: 0, &#39;pm25&#39;: {&#39;pm25&#39;: {&#39;des&#39;: &#39;空气很好，可以外出活动&#39;, &#39;curPm&#39;: &#39;34&#39;, &#39;level&#39;: &#39;1&#39;, &#39;pm10&#39;: &#39;26&#39;, &#39;pm25&#39;: &#39;14&#39;, &#39;quality&#39;: &#39;优&#39;}, &#39;show_desc&#39;: &#39;0&#39;, &#39;key&#39;: &#39;Baoding&#39;, &#39;dateTime&#39;: &#39;2017年03月26日16时&#39;, &#39;cityName&#39;: &#39;保定&#39;}, &#39;realtime&#39;: {&#39;city_name&#39;: &#39;保定&#39;, &#39;weather&#39;: {&#39;info&#39;: &#39;晴&#39;, &#39;img&#39;: &#39;0&#39;, &#39;humidity&#39;: &#39;27&#39;, &#39;temperature&#39;: &#39;13&#39;}, &#39;week&#39;: &#39;0&#39;, &#39;wind&#39;: {&#39;windspeed&#39;: None, &#39;power&#39;: &#39;3级&#39;, &#39;offset&#39;: None, &#39;direct&#39;: &#39;西风&#39;}, &#39;city_code&#39;: &#39;101090201&#39;, &#39;date&#39;: &#39;2017-03-26&#39;, &#39;dataUptime&#39;: &#39;1490517362&#39;, &#39;time&#39;: &#39;16:00:00&#39;, &#39;moon&#39;: &#39;二月廿九&#39;}}
相同的方法取 data[&#39;result&#39;][&#39;weather&#39;] 这又是一个元组，
[{&#39;nongli&#39;: &#39;二月廿九&#39;, &#39;info&#39;: {&#39;night&#39;: [&#39;0&#39;, &#39;晴&#39;, &#39;2&#39;, &#39;西南风&#39;, &#39;微风&#39;, &#39;18:36&#39;], &#39;dawn&#39;: None, &#39;day&#39;: [&#39;0&#39;, &#39;晴&#39;, &#39;17&#39;, &#39;西北风&#39;, &#39;3-4 级&#39;, &#39;06:12&#39;]}, &#39;week&#39;: &#39;日&#39;, &#39;date&#39;: &#39;2017-03-26&#39;}, {&#39;nongli&#39;: &#39;二月三十&#39;, &#39;info&#39;: {&#39;night&#39;: [&#39;7&#39;, &#39;小雨&#39;, &#39;3&#39;, &#39;南风&#39;, &#39;微风&#39;, &#39;18:37&#39;], &#39;dawn&#39;: [&#39;0&#39;, &#39;晴&#39;, &#39;2&#39;, &#39;西南风&#39;, &#39;微风&#39;, &#39;18:36&#39;], &#39;day&#39;: [&#39;0&#39;, &#39;晴&#39;, &#39;15&#39;, &#39;南风&#39;, &#39;微风&#39;, &#39;06:11&#39;]}, &#39;week&#39;: &#39;一&#39;, &#39;date&#39;: &#39;2017-03-27&#39;}, {&#39;nongli&#39;: &#39;三月初一&#39;, &#39;info&#39;: {&#39;night&#39;: [&#39;0&#39;, &#39;晴&#39;, &#39;3&#39;, &#39;南风&#39;, &#39;微风&#39;, &#39;18:38&#39;], &#39;dawn&#39;: [&#39;7&#39;, &#39;小雨&#39;, &#39;3&#39;, &#39;南风&#39;, &#39;微风&#39;, &#39;18:37&#39;], &#39;day&#39;: [&#39;1&#39;, &#39;多云&#39;, &#39;15&#39;, &#39;南风&#39;, &#39;微风&#39;, &#39;06:09&#39;]}, &#39;week&#39;: &#39;二&#39;, &#39;date&#39;: &#39;2017-03-28&#39;}, {&#39;nongli&#39;: &#39;三月初二&#39;, &#39;info&#39;: {&#39;night&#39;: [&#39;0&#39;, &#39;晴&#39;, &#39;3&#39;, &#39;北风&#39;, &#39;微风&#39;, &#39;18:39&#39;], &#39;dawn&#39;: [&#39;0&#39;, &#39;晴&#39;, &#39;3&#39;, &#39;南风&#39;, &#39;微风&#39;, &#39;18:38&#39;], &#39;day&#39;: [&#39;0&#39;, &#39;晴&#39;, &#39;18&#39;, &#39;南风&#39;, &#39;微风&#39;, &#39;06:08&#39;]}, &#39;week&#39;: &#39;三&#39;, &#39;date&#39;: &#39;2017-03-29&#39;}, {&#39;nongli&#39;: &#39;三月初三&#39;, &#39;info&#39;: {&#39;night&#39;: [&#39;0&#39;, &#39;晴&#39;, &#39;3&#39;, &#39;北风&#39;, &#39;微风&#39;, &#39;18:40&#39;], &#39;dawn&#39;: [&#39;0&#39;, &#39;晴&#39;, &#39;3&#39;, &#39;北风&#39;, &#39;微风&#39;, &#39;18:39&#39;], &#39;day&#39;: [&#39;0&#39;, &#39;晴&#39;, &#39;17&#39;, &#39;北风&#39;, &#39;微风&#39;, &#39;06:06&#39;]}, &#39;week&#39;: &#39;四&#39;, &#39;date&#39;: &#39;2017-03-30&#39;}]
接着取元组里的字典，逐步拆分即可获得想要的数据。
위 내용은 특정 도시의 주간 기온을 횡단하는 Python 방법 분석의 상세 내용입니다. 자세한 내용은 PHP 중국어 웹사이트의 기타 관련 기사를 참조하세요!
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이전 기사：자동 이메일 스크립트를 만들기 위한 Python 코드 예제를 가르쳐주세요.다음 기사：자동 이메일 스크립트를 만들기 위한 Python 코드 예제를 가르쳐주세요.