使用python遍历指定城市的一周气温
处于兴趣，写了一个遍历指定城市五天内的天气预报，并转为华氏度显示。
把城市名字写到一个列表里这样可以方便的添加城市。并附有详细注释
importrequests
importjson
#定义一个函数避免代码重写多次。
defgettemp(week,d_or_n,date):
wendu=data['result']['weather'][week]['info'][d_or_n][date]#对字典进行拆分
returnint(wendu)
defgetft(t):
ft=t*1.8+32
returnfloat(str(ft)[0:4])
cities=['保定','北京','上海','武汉','郑州','齐齐哈尔']#这里可以指定想要遍历的城市
url='http://api.avatardata.cn/Weather/Query?key=68e75677978441f6872c1106175b8673&cityname='#用于和cities里的城市进行字符串拼接
low=0
high=2
forcityincities:
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,'近五天天气预报：')
foriinrange(5):
week='周'+str(data['result']['weather'][i]['week'])#对字典类型进行逐个拆分如列表元组等。
daylow=gettemp(i,'day',low)
dlf=getft(daylow)
dayhigh=gettemp(i,'day',high)
dhf=getft(dayhigh)
nightlow=gettemp(i,'night',low)
nlf=getft(nightlow)
nighthigh=gettemp(i,'night',high)
nhf=getft(nighthigh)
print(week,'白天气温:',daylow,'~',dayhigh,'摄氏度','晚上气温:',nightlow,'~',nighthigh,'摄氏度')
print('','白天气温:',dlf,'~',dhf,'华氏度','晚上气温:',nlf,'~',nhf,'华氏度')
print('\n')
{"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['result']又是一个字典，
{'life':{'date':'2017-3-26','info':{'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。'],'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。'],'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。'],'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。'],'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。'],'wuran':None,'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。']}},'weather':[{'date':'2017-03-26','week':'日','info':{'dawn':None,'night':['0','晴','2','西南风','微风','18:36'],'day':['0','晴','17','西北风','3-4级','06:12']},'nongli':'二月廿九'},{'date':'2017-03-27','week':'一','info':{'dawn':['0','晴','2','西南风','微风','18:36'],'night':['7','小雨','3','南风','微风','18:37'],'day':['0','晴','15','南风','微风','06:11']},'nongli':'二月三十'},{'date':'2017-03-28','week':'二','info':{'dawn':['7','小雨','3','南风','微风','18:37'],'night':['0','晴','3','南风','微风','18:38'],'day':['1','多云','15','南风','微风','06:09']},'nongli':'三月初一'},{'date':'2017-03-29','week':'三','info':{'dawn':['0','晴','3','南风','微风','18:38'],'night':['0','晴','3','北风','微风','18:39'],'day':['0','晴','18','南风','微风','06:08']},'nongli':'三月初二'},{'date':'2017-03-30','week':'四','info':{'dawn':['0','晴','3','北风','微风','18:39'],'night':['0','晴','3','北风','微风','18:40'],'day':['0','晴','17','北风','微风','06:06']},'nongli':'三月初三'}],'isForeign':0,'pm25':{'pm25':{'des':'空气很好，可以外出活动','curPm':'34','level':'1','pm10':'26','pm25':'14','quality':'优'},'show_desc':'0','key':'Baoding','dateTime':'2017年03月26日16时','cityName':'保定'},'realtime':{'city_name':'保定','weather':{'info':'晴','img':'0','humidity':'27','temperature':'13'},'week':'0','wind':{'windspeed':None,'power':'3级','offset':None,'direct':'西风'},'city_code':'101090201','date':'2017-03-26','dataUptime':'1490517362','time':'16:00:00','moon':'二月廿九'}}
相同的方法取data['result']['weather']这又是一个元组，
[{'nongli':'二月廿九','info':{'night':['0','晴','2','西南风','微风','18:36'],'dawn':None,'day':['0','晴','17','西北风','3-4级','06:12']},'week':'日','date':'2017-03-26'},{'nongli':'二月三十','info':{'night':['7','小雨','3','南风','微风','18:37'],'dawn':['0','晴','2','西南风','微风','18:36'],'day':['0','晴','15','南风','微风','06:11']},'week':'一','date':'2017-03-27'},{'nongli':'三月初一','info':{'night':['0','晴','3','南风','微风','18:38'],'dawn':['7','小雨','3','南风','微风','18:37'],'day':['1','多云','15','南风','微风','06:09']},'week':'二','date':'2017-03-28'},{'nongli':'三月初二','info':{'night':['0','晴','3','北风','微风','18:39'],'dawn':['0','晴','3','南风','微风','18:38'],'day':['0','晴','18','南风','微风','06:08']},'week':'三','date':'2017-03-29'},{'nongli':'三月初三','info':{'night':['0','晴','3','北风','微风','18:40'],'dawn':['0','晴','3','北风','微风','18:39'],'day':['0','晴','17','北风','微风','06:06']},'week':'四','date':'2017-03-30'}]
接着取元组里的字典，逐步拆分即可获得想要的数据。
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