#! python3
quickWeather.py
import json,requests,sys,re
‘’‘if len(sys.argv) < 2:
print(‘Usage: quickWeather.py location’)
sys.exit()
locaion = ‘’.join(sys.argv[1:])’’’
#下载数据,从中国天气
url= ‘https://img.weather.com.cn/newwebgis/fc/nation_fc24h_wea_2021031412.json?callback=webgisDot&_=1615693828548’
response = requests.get(url)
response.raise_for_status()
originData = response.text
data1 = originData.lstrip(‘webgisDot(’)
#originDataSub = re.sub(‘webgisDot((’,’’,originData)
#originDataSub2 = re.sub(’)$’,’’,originDataSub)
data2 = data1.rstrip(’)’)
weatherData =json.loads(data2)
#打印天气描述
print(weatherData.keys())
w= weatherData[‘data’]
print(len(w))
for i in range(len(w)):
print('The ciy '+w[i][‘namecn’] + 'high temperature is ’ +str(w[i][‘tmax’]))
通过上述的data.lstrip(‘xcasfas {’)和data.rstrip(’})’)就可以将多余的字符进行删掉,然后对字典或者列表进行分析,进而可以对json数据得到更为准确的利用