我在论坛上找不到类似于python的json结构的解决方案,所以请求新的帮助。
我正在尝试从名为geolocation.json的文件中提取纬度和经度的值,该文件具有以下结构
{"userId":"Geo-data","data": {"mocked":false,"timestamp":1548173963281,"coords":{"speed":0,"heading":0,"accuracy":20.20400047302246,"longitude":88.4048656,"altitude":0,"latitude":22.5757344}}}我正在尝试下面的代码从文件中提取最后一个数据的纬度和经度,并将其传递给googleAPI进行反向地理编码。
import json
with open("geolocation.json") as geo_file:
geo_dict = [json.loads(line) for line in geo_file]
for geo in geo_dict:
last_loc= geo_dict[-1]
geolat= str(last_loc['latitude'])
geolong= str(last_loc['longitude'])
#geolat = format(float(geo['latitude']),'.6f')
#geolong = format(float(geo['longitude']),'.6f')
from geopy.geocoders import GoogleV3
#geolat='22.5757344'
#geolong='88.4048656'
latlong = [geolat, geolong]
val = ", ".join(latlong)
geolocator = GoogleV3(api_key='My_API_KEY')
locations = geolocator.reverse(val)
if locations:
print(locations[0].address)如果我硬编码纬度和经度,而不是从文件中提取它们(删除整个json方面),代码就能工作。所以问题正在解决,我得到的错误是--
geolat= str(last_loc['latitude'])
KeyError: 'latitude'以我有限的Python知识,我被困住了。
发布于 2019-02-05 12:02:12
你有一本嵌套字典。使用last_loc["data"]["coords"]
Ex:
import json
last_loc = json.loads('{"userId":"Geo-data","data": {"mocked":false,"timestamp":1548173963281,"coords":{"speed":0,"heading":0,"accuracy":20.20400047302246,"longitude":88.4048656,"altitude":0,"latitude":22.5757344}}}')
geolat= str(last_loc["data"]["coords"]['latitude'])
geolong= str(last_loc["data"]["coords"]['longitude'])
print(geolat)
print(geolong)输出:
22.5757344
88.4048656https://stackoverflow.com/questions/54531079
复制相似问题