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[Python & 高德地图] API调用学习历程(四)
发布于2020-06-25 19:48 阅读(1208) 评论(0) 点赞(2) 收藏(2)
[四]高德天气API调用
- 通过调用天气，应用在QQ机器人上，实现查天气功能
- Python代码示例：
async def get_weather_of_city(city: str) -> str: #
#当前 #
parameters_now = {'key':key_Amap, #
'city':city, #
'extensions':'base', #
'output':'json' #
} #
r_now = requests.get("https://restapi.amap.com/v3/weather/weatherInfo?parameters",params = parameters_now) #
try: #
weater = r_now.json()['lives'][0]['weather'] #
temp = r_now.json()['lives'][0]['temperature'] #
winddirection = r_now.json()['lives'][0]['winddirection'] #
windpow = r_now.json()['lives'][0]['windpower'] #
humidity = r_now.json()['lives'][0]['humidity'] #
result_now = '当前' + city + '的天气为：' + weater + '，' + temp + '℃，空气湿度：' + humidity + '，刮' + winddirection + '风，风力' + windpow + '级！' + '\n' #
#预报 #
parameters_next = {'key':key_Amap, #
'city':city, #
'extensions':'all', #
'output':'json' #
} #
r_next = requests.get("https://restapi.amap.com/v3/weather/weatherInfo?parameters",params = parameters_next) #
#当日 #
data0_data = r_next.json()['forecasts'][0]['casts'][0]['date'] #
data0_week = r_next.json()['forecasts'][0]['casts'][0]['week'] #
data0_weather = r_next.json()['forecasts'][0]['casts'][0]['dayweather'] #
data0_tempmin = r_next.json()['forecasts'][0]['casts'][0]['nighttemp'] #
data0_tempmax = r_next.json()['forecasts'][0]['casts'][0]['daytemp'] #
data0_dic =r_next.json()['forecasts'][0]['casts'][0]['daywind'] #
data0_pow = r_next.json()['forecasts'][0]['casts'][0]['daypower'] #
result0 = data0_data + '周' + data0_week + '：' + data0_weather + '，' + data0_tempmin + '℃~' + \
data0_tempmax + '℃，' + data0_dic + '风' + data0_pow + '级' + '\n'
#次日 #
data1_data = r_next.json()['forecasts'][0]['casts'][1]['date'] #
data1_week = r_next.json()['forecasts'][0]['casts'][1]['week'] #
data1_weather = r_next.json()['forecasts'][0]['casts'][1]['dayweather'] #
data1_tempmin = r_next.json()['forecasts'][0]['casts'][1]['nighttemp'] #
data1_tempmax = r_next.json()['forecasts'][0]['casts'][1]['daytemp'] #
data1_dic =r_next.json()['forecasts'][0]['casts'][1]['daywind'] #
data1_pow = r_next.json()['forecasts'][0]['casts'][1]['daypower'] #
result1 = data1_data + '周' + data1_week + '：' + data1_weather + '，' + data1_tempmin + '℃~' + \
data1_tempmax + '℃，' + data1_dic + '风' + data1_pow + '级' + '\n'
#后日 #
data2_data = r_next.json()['forecasts'][0]['casts'][2]['date'] #
data2_week = r_next.json()['forecasts'][0]['casts'][2]['week'] #
data2_weather = r_next.json()['forecasts'][0]['casts'][2]['dayweather'] #
data2_tempmin = r_next.json()['forecasts'][0]['casts'][2]['nighttemp'] #
data2_tempmax = r_next.json()['forecasts'][0]['casts'][2]['daytemp'] #
data2_dic =r_next.json()['forecasts'][0]['casts'][2]['daywind'] #
data2_pow = r_next.json()['forecasts'][0]['casts'][2]['daypower'] #
result2 = data2_data + '周' + data2_week + '：' + data2_weather + '，' + data2_tempmin + '℃~' + \
data2_tempmax + '℃，' + data2_dic + '风' + data2_pow + '级' + '\n'
#大后日 #
data3_data = r_next.json()['forecasts'][0]['casts'][3]['date'] #
data3_week = r_next.json()['forecasts'][0]['casts'][3]['week'] #
data3_weather = r_next.json()['forecasts'][0]['casts'][3]['dayweather'] #
data3_tempmin = r_next.json()['forecasts'][0]['casts'][3]['nighttemp'] #
data3_tempmax = r_next.json()['forecasts'][0]['casts'][3]['daytemp'] #
data3_dic =r_next.json()['forecasts'][0]['casts'][3]['daywind'] #
data3_pow = r_next.json()['forecasts'][0]['casts'][3]['daypower'] #
result3 = data3_data + '周' + data3_week + '：' + data3_weather + '，' + data3_tempmin + '℃~' + \
data3_tempmax + '℃，' + data3_dic + '风' + data3_pow + '级' + '\n'
result_all = result_now + result0 + result1 + result2 + result3 #
except CQHttpError: #
result_all = '我似乎有点问题...换个说法试试吧~' #
return result_all #
这段代码是应用在QQ机器人里面的，读者若想单独使用此功能，稍作修改即可！
原文链接:https://blog.csdn.net/qq_34916678/article/details/106950953
所属网站分类: 技术文章 > 博客
作者：9384vfnv
链接： https://www.pythonheidong.com/blog/article/430392/206955404b13d39c3244/
来源： python黑洞网
任何形式的转载都请注明出处,如有侵权 一经发现 必将追究其法律责任
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