python实现智能语音天气预报
python编写的语音天气预报
本系统主要包括四个函数:
1、获取天气数据
1、输入要查询天气的城市
2、利用urllib模块向中华万年历天气api接口请求天气数据
3、利用gzip解压获取到的数据,并编码utf-8
4、利用json转化成python识别的数据,返回为天气预报数据复杂形式的字典(字典中的字典)
2、输出当天天气数据
1、格式化输出当天天气,包括:天气状况,此时温度,最高温度、最低温度,风级,风向等。
3,语音播报当天天气
1、创建要输出的语音文本(weather_forecast_txt)
2、利用百度的语音合成模块AipSpeech,合成语音文件
3,利用playsound模块播放语音
4、未来几天温度变化趋势
1、创建未来几天高低温数据的字典
2,利用matplotlib模块,图形化温度变化趋势
5、代码
#导入必要模块 import urllib.parse import urllib.request import gzip import json import playsound from aip import AipSpeech import matplotlib.pyplot as plt import re #设置参数,图片显示中文字符,否则乱码 plt.rcParams['font.sans-serif']=['SimHei'] #定义获取天气数据函数 def Get_weather_data(): print('------天气查询------') city_name = input('请输入要查询的城市名称:') url = 'http://wthrcdn.etouch.cn/weather_mini?city=' + urllib.parse.quote(city_name) weather_data = urllib.request.urlopen(url).read() # 读取网页数据 weather_data = gzip.decompress(weather_data).decode('utf-8') # #解压网页数据 weather_dict = json.loads(weather_data) return weather_dict #定义当天天气输出格式 def Show_weather(weather_data): weather_dict = weather_data if weather_dict.get('desc') == 'invilad-citykey': print('你输入的城市有误或未收录天气,请重新输入...') elif weather_dict.get('desc') == 'OK': forecast = weather_dict.get('data').get('forecast') print('日期:', forecast[0].get('date')) print('城市:', weather_dict.get('data').get('city')) print('天气:', forecast[0].get('type')) print('温度:', weather_dict.get('data').get('wendu') + '℃ ') print('高温:', forecast[0].get('high')) print('低温:', forecast[0].get('low')) print('风级:', forecast[0].get('fengli').split('<')[2].split(']')[0]) print('风向:', forecast[0].get('fengxiang')) weather_forecast_txt = '您好,您所在的城市%s,' \ '天气%s,' \ '当前温度%s,' \ '今天最高温度%s,' \ '最低温度%s,' \ '风级%s,' \ '温馨提示:%s' % \ ( weather_dict.get('data').get('city'), forecast[0].get('type'), weather_dict.get('data').get('wendu'), forecast[0].get('high'), forecast[0].get('low'), forecast[0].get('fengli').split('<')[2].split(']')[0], weather_dict.get('data').get('ganmao') ) return weather_forecast_txt,forecast #定义语音播报今天天气状况 def Voice_broadcast(weather_forcast_txt): weather_forecast_txt = weather_forcast_txt APP_ID = 你的百度语音APP_ID API_KEY = 你的百度语音API_KEY SECRET_KEY = 你的百度语音SECRET_KEY client = AipSpeech(APP_ID, API_KEY, SECRET_KEY) print('语音提醒:', weather_forecast_txt) #百度语音合成 result = client.synthesis(weather_forecast_txt, 'zh', 1, {'vol': 5}) if not isinstance(result, dict): with open('sound2.mp3', 'wb') as f: f.write(result) f.close() #playsound模块播放语音 playsound.playsound(r'C:\Users\ban\Desktop\bsy\sound2.mp3') #未来四天天气变化图 def Future_weather_states(forecast): future_forecast = forecast dict={} #获取未来四天天气状况 for i in range(5): data = [] date=future_forecast[i]['date'] date = int(re.findall('\d+',date)[0]) data.append(int(re.findall('\d+',future_forecast[i]['high'])[0])) data.append(int(re.findall('\d+', future_forecast[i]['low'])[0])) data.append(future_forecast[i]['type']) dict[date] = data data_list = sorted(dict.items()) date=[] high_temperature = [] low_temperature = [] for each in data_list: date.append(each[0]) high_temperature.append(each[1][0]) low_temperature.append(each[1][1]) fig = plt.plot(date,high_temperature,'r',date,low_temperature,'b') plt.xlabel('日期') plt.ylabel('℃') plt.legend(['高温','低温']) plt.xticks(date) plt.title('最近几天温度变化趋势') plt.show() #主函数 if __name__=='__main__': weather_data = Get_weather_data() weather_forecast_txt, forecast = Show_weather(weather_data) Future_weather_states(forecast) Voice_broadcast(weather_forecast_txt)
6、最终效果
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