我想提取下面给出的json中“address_components”中存在的“long_name”数据。挑战是我只想要“类型”为“administrative_area_level_2”的“long_name”数据。请让我知道如何最好只在python中提取特定数据。感谢
编辑:注意js [“results”] [0] [“address_components”] [2] [“long_name”]不是我想要提取它的值,因为[“address_components”] [2]保持不变作为输入给出的不同位置。我的主要标准是提取“long_name”的数据,其“类型”总是“administrative_area_level_2”
{
"status": "OK",
"results": [
{
"geometry": {
"location_type": "APPROXIMATE",
"bounds": {
"northeast": {
"lat": 12.9177876,
"lng": 80.24104
},
"southwest": {
"lat": 12.875989,
"lng": 80.20860669999999
}
},
"viewport": {
"northeast": {
"lat": 12.9177876,
"lng": 80.24104
},
"southwest": {
"lat": 12.875989,
"lng": 80.20860669999999
}
},
"location": {
"lat": 12.9009877,
"lng": 80.2279301
}
},
"formatted_address": "Sholinganallur, Chennai, Tamil Nadu, India",
"place_id": "ChIJGzh_3nlbUjoRGz_-itQtu_8",
"address_components": [
{
"long_name": "Sholinganallur",
"types": [
"sublocality_level_1",
"sublocality",
"political"
],
"short_name": "Sholinganallur"
},
{
"long_name": "Chennai",
"types": [
"locality",
"political"
],
"short_name": "Chennai"
},
{
"long_name": "Kanchipuram",
"types": [
"administrative_area_level_2",
"political"
],
"short_name": "Kanchipuram"
},
{
"long_name": "Tamil Nadu",
"types": [
"administrative_area_level_1",
"political"
],
"short_name": "TN"
},
{
"long_name": "India",
"types": [
"country",
"political"
],
"short_name": "IN"
}
],
"partial_match": true,
"types": [
"sublocality_level_1",
"sublocality",
"political"
]
}
]
}
下面是我正在尝试的代码,但我只输出到位置。让我知道我需要在代码中做出哪些更改。
import urllib
import json
apiurl= 'http://maps.googleapis.com/maps/api/geocode/json?'
while True:
address = raw_input('Enter location: ')
if len(address) < 1 : break
url = apiurl + urllib.urlencode({'sensor':'false', 'address': address})
print 'Retrieving', url
uh = urllib.urlopen(url).read()
print 'Retrieved',len(uh),'characters'
js = json.loads(str(uh))
print json.dumps(js, indent=4)
jayz = js["results"][0]
lat = jayz["geometry"]["location"]["lat"]
lng = jayz["geometry"]["location"]["lng"]
print 'lat',lat,'lng',lng
location = jayz['formatted_address']
print location
components = js["results"][0]["address_components"]
names = [component['long_name'] for component in components if 'administrative_area_level_2' in component['types']]
name = names[0]
print "District:", name
答案 0 :(得分:0)
您可以获取组件并循环它们并找到您
的组件js = eval(input_file.read())
components = js["results"][0]["address_components"]
names = [component['long_name'] for component in components if 'administrative_area_level_2' in component['types']]
此处,名称将包含其类型中包含administrative_area_level_2的所有组件的long_name
答案 1 :(得分:0)
如果您喜欢,这是一个班轮解决方案
它在python中
my_long_names = [[component.get("long_name") for component in result.get("address_components") if "administrative_area_level_2" in component.get("types")] for result in data.get("results") ]
print my_long_names