本系統主要包括四個函數:
1、擷取天氣資料
1、輸入要查詢天氣的城市
2、利用urllib子產品向中華萬年曆天氣api接口請求天氣資料
3、利用gzip解壓擷取到的資料,并編碼utf-8
4、利用json轉化成python識别的資料,傳回為天氣預報資料複雜形式的字典(字典中的字典)
2、輸出當天天氣資料
1、格式化輸出當天天氣,包括:天氣狀況,此時溫度,最高溫度、最低溫度,風級,風向等。
3,語音播報當天天氣
1、建立要輸出的語音文本(weather_forecast_txt)
2、利用百度的語音合成子產品AipSpeech,合成語音檔案
3,利用playsound子產品播放語音
4、未來幾天溫度變化趨勢
1、建立未來幾天高低溫資料的字典
2,利用matplotlib子產品,圖形化溫度變化趨勢
5、代碼
#導入必要子產品
import urllib.parse
import urllib.request
import gzip
import json
import playsound
from aip import AipSpeech
import matplotlib.pyplot as plt
import re
#設定參數,圖檔顯示中文字元,否則亂碼
plt.rcParams['font.sans-serif']=['SimHei']
#定義擷取天氣資料函數
def Get_weather_data():
print('------天氣查詢------')
city_name = input('請輸入要查詢的城市名稱:')
url = 'http://wthrcdn.etouch.cn/weather_mini?city=' + urllib.parse.quote(city_name)
weather_data = urllib.request.urlopen(url).read()
# 讀取網頁資料
weather_data = gzip.decompress(weather_data).decode('utf-8')
# #解壓網頁資料
weather_dict = json.loads(weather_data)
return weather_dict
#定義當天天氣輸出格式
def Show_weather(weather_data):
weather_dict = weather_data
if weather_dict.get('desc') == 'invilad-citykey':
print('你輸入的城市有誤或未收錄天氣,請重新輸入...')
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('天氣:', forecast[0].get('type'))
print('溫度:', weather_dict.get('data').get('wendu') + '℃ ')
print('高溫:', forecast[0].get('high'))
print('低溫:', forecast[0].get('low'))
print('風級:', forecast[0].get('fengli').split('
print('風向:', forecast[0].get('fengxiang'))
weather_forecast_txt = '您好,您所在的城市%s,' \
'天氣%s,' \
'目前溫度%s,' \
'今天最高溫度%s,' \
'最低溫度%s,' \
'風級%s,' \
'溫馨提示:%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('
weather_dict.get('data').get('ganmao')
)
return weather_forecast_txt,forecast
#定義語音播報今天天氣狀況
def Voice_broadcast(weather_forcast_txt):
weather_forecast_txt = weather_forcast_txt
APP_ID = 你的百度語音APP_ID
API_KEY = 你的百度語音API_KEY
SECRET_KEY = 你的百度語音SECRET_KEY
client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)
print('語音提醒:', weather_forecast_txt)
#百度語音合成
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子產品播放語音
playsound.playsound(r'C:\Users\ban\Desktop\bsy\sound2.mp3')
#未來四天天氣變化圖
def Future_weather_states(forecast):
future_forecast = forecast
dict={}
#擷取未來四天天氣狀況
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(['高溫','低溫'])
plt.xticks(date)
plt.title('最近幾天溫度變化趨勢')
plt.show()
#主函數
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、最終效果