python实现天气预报_python实现智能语音天气预报

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('

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('

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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