1、编写源代码 - 查询城市天气.
# -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
# 功能：查询城市天气
import requests, json, re
from matplotlib import pyplot as plt
# 获取城市代码
def getCityCode(city):
url = '/search?cityname=' + city
r = requests.get(url)
if len(r.text) > 4:
json_arr = json.loads(r.text[1:len(r.text)-1])
code = json_arr[0]['ref'][0:9]
return code
else:
return "000000000"
# 获取城市天气信息
def getWeatherInfo(city):
code = getCityCode(city)
url = 'http://t./api/weather/city/' + code
r = requests.get(url)
info = r.json()
weather = {}
if info['status'] == 200:
weather['城市：'] = info['cityInfo']['parent'] + info['cityInfo']['city']
weather['时间：'] = info['time'] + ' ' + info['data']['forecast'][0]['week']
weather['温度：'] = info['data']['forecast'][0]['high'] + ' ' + info['data']['forecast'][0]['low']
weather['天气：'] = info['data']['forecast'][0]['type']
else:
weather['错误：'] = '[' + city + ']不存在！'
return weather
# 打印天气信息
def printWeatherInfo(weather):
for key in weather:
print(key + weather[key])
# 获取未来气温
def getTemperatures(city):
code = getCityCode(city)
url = 'http://t./api/weather/city/' + code
r = requests.get(url)
info = r.json()
temperatures = {}
if info['status'] == 200:
forecast = info['data']['forecast']
for i in range(len(forecast)):
dayinfo = forecast[i]
high = int(re.findall(r'\d+', dayinfo['high'])[0])
low = int(re.findall(r'\d+', dayinfo['low'])[0])
temperatures[dayinfo['ymd']] = [high, low]
else:
temperatures['错误：'] = '[' + city + ']不存在！'
return temperatures
# 打印未来气温
def printTemperatures(temperatures):
if '错误：' not in temperatures.keys():
for key in temperatures:
print(key + ' 高温：'+ str(temperatures[key][0]) + ' 低温：' + str(temperatures[key][1]))
# 绘制未来气温折线图
def drawTemperatureLineChart():
temperatures = getTemperatures(city)
if '错误：' not in temperatures.keys():
dates = []
highs = []
lows = []
for key in temperatures:
dates.append(key)
highs.append(temperatures[key][0])
lows.append(temperatures[key][1])
fig = plt.figure(dpi=81, figsize=(5,4))
plt.xlabel('Date (YYYY-MM-DD)', fontsize = 10)
plt.ylabel("Temperature (℃)", fontsize=10)
fig.autofmt_xdate()
plt.plot(dates, highs, c='red', alpha=0.5)
plt.plot(dates, lows, c='blue', alpha=0.5)
city = input('输入城市名：')
printWeatherInfo(getWeatherInfo(city))
printTemperatures(getTemperatures(city))
drawTemperatureLineChart()
运行结果：
