我有来自Google GeoCode的这个JSON，我需要对此进行解码，然后从中获取administrative_area_level_2和postal_code，然后我就完成了。我可以解析结果，但之后我不知道如何重置结果。我试着格式化这个，但它没有用。如果您点击链接，则这是格式化版本。
我正在尝试这样做是JAVA，我知道我可以在PHP中这样做，但我宁愿在JAVA中这样做。提前感谢您的帮助。
http://maps.googleapis.com/maps/api/geocode/json?latlng=40.714224,-73.961452&sensor=false
{
"results" : [
{
"address_components" : [
{
"long_name" : "279-281",
"short_name" : "279-281",
"types" : [ "street_number" ]
},
{
"long_name" : "Bedford Ave",
"short_name" : "Bedford Ave",
"types" : [ "route" ]
},
{
"long_name" : "Williamsburg",
"short_name" : "Williamsburg",
"types" : [ "neighborhood", "political" ]
},
{
"long_name" : "Brooklyn",
"short_name" : "Brooklyn",
"types" : [ "sublocality", "political" ]
},
{
"long_name" : "Kings",
"short_name" : "Kings",
"types" : [ "administrative_area_level_2", "political" ]
},
{
"long_name" : "New York",
"short_name" : "NY",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "United States",
"short_name" : "US",
"types" : [ "country", "political" ]
},
{
"long_name" : "11211",
"short_name" : "11211",
"types" : [ "postal_code" ]
}
],
"formatted_address" : "279-281 Bedford Ave, Brooklyn, NY 11211, USA",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 40.71450470,
"lng" : -73.96128740
},
"southwest" : {
"lat" : 40.7139010,
"lng" : -73.961680
}
},
"location" : {
"lat" : 40.71422150,
"lng" : -73.96144540
},
"location_type" : "RANGE_INTERPOLATED",
"viewport" : {
"northeast" : {
"lat" : 40.71735047068017,
"lng" : -73.95833607931984
},
"southwest" : {
"lat" : 40.71105522931983,
"lng" : -73.96463132068017
}
}
},
"types" : [ "street_address" ]
},
{
"address_components" : [
{
"long_name" : "Williamsburg",
"short_name" : "Williamsburg",
"types" : [ "neighborhood", "political" ]
},
{
"long_name" : "New York",
"short_name" : "New York",
"types" : [ "locality", "political" ]
},
{
"long_name" : "Kings",
"short_name" : "Kings",
"types" : [ "administrative_area_level_2", "political" ]
},
{
"long_name" : "New York",
"short_name" : "NY",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "United States",
"short_name" : "US",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "Williamsburg, NY, USA",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 40.7182050,
"lng" : -73.9202810
},
"southwest" : {
"lat" : 40.6979330,
"lng" : -73.96984510
}
},
"location" : {
"lat" : 40.70644610,
"lng" : -73.95361629999999
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 40.7182050,
"lng" : -73.9202810
},
"southwest" : {
"lat" : 40.6979330,
"lng" : -73.96984510
}
}
},
"types" : [ "neighborhood", "political" ]
},
{
"address_components" : [
{
"long_name" : "11211",
"short_name" : "11211",
"types" : [ "postal_code" ]
},
{
"long_name" : "Brooklyn",
"short_name" : "Brooklyn",
"types" : [ "sublocality", "political" ]
},
{
"long_name" : "New York",
"short_name" : "New York",
"types" : [ "locality", "political" ]
},
{
"long_name" : "New York",
"short_name" : "NY",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "United States",
"short_name" : "US",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "Brooklyn, NY 11211, USA",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 40.7261370,
"lng" : -73.92304290
},
"southwest" : {
"lat" : 40.69763590,
"lng" : -73.97616690
}
},
"location" : {
"lat" : 40.71800360,
"lng" : -73.96537150000002
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 40.7261370,
"lng" : -73.92304290
},
"southwest" : {
"lat" : 40.69763590,
"lng" : -73.97616690
}
}
},
"types" : [ "postal_code" ]
},
{
"address_components" : [
{
"long_name" : "Brooklyn",
"short_name" : "Brooklyn",
"types" : [ "sublocality", "political" ]
},
{
"long_name" : "New York",
"short_name" : "New York",
"types" : [ "locality", "political" ]
},
{
"long_name" : "Kings",
"short_name" : "Kings",
"types" : [ "administrative_area_level_2", "political" ]
},
{
"long_name" : "New York",
"short_name" : "NY",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "United States",
"short_name" : "US",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "Brooklyn, NY, USA",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 40.7394460,
"lng" : -73.8333650
},
"southwest" : {
"lat" : 40.55104190,
"lng" : -74.056630
}
},
"location" : {
"lat" : 40.650,
"lng" : -73.950
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 40.7394460,
"lng" : -73.8333650
},
"southwest" : {
"lat" : 40.55104190,
"lng" : -74.056630
}
}
},
"types" : [ "sublocality", "political" ]
},
{
"address_components" : [
{
"long_name" : "Kings",
"short_name" : "Kings",
"types" : [ "administrative_area_level_2", "political" ]
},
{
"long_name" : "New York",
"short_name" : "NY",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "United States",
"short_name" : "US",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "Kings, New York, USA",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 40.7394460,
"lng" : -73.8333650
},
"southwest" : {
"lat" : 40.55104190,
"lng" : -74.056630
}
},
"location" : {
"lat" : 40.65287620,
"lng" : -73.95949399999999
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 40.7394460,
"lng" : -73.8333650
},
"southwest" : {
"lat" : 40.55104190,
"lng" : -74.056630
}
}
},
"types" : [ "administrative_area_level_2", "political" ]
},
{
"address_components" : [
{
"long_name" : "New York",
"short_name" : "New York",
"types" : [ "locality", "political" ]
},
{
"long_name" : "New York",
"short_name" : "New York",
"types" : [ "administrative_area_level_2", "political" ]
},
{
"long_name" : "New York",
"short_name" : "NY",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "United States",
"short_name" : "US",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "New York, NY, USA",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 40.9175770,
"lng" : -73.7002720
},
"southwest" : {
"lat" : 40.4773990,
"lng" : -74.259090
}
},
"location" : {
"lat" : 40.71435280,
"lng" : -74.00597309999999
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 40.9175770,
"lng" : -73.7002720
},
"southwest" : {
"lat" : 40.4773990,
"lng" : -74.259090
}
}
},
"types" : [ "locality", "political" ]
},
{
"address_components" : [
{
"long_name" : "New York",
"short_name" : "NY",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "United States",
"short_name" : "US",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "New York, USA",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 45.0158650,
"lng" : -71.7774910
},
"southwest" : {
"lat" : 40.4773990,
"lng" : -79.762590
}
},
"location" : {
"lat" : 43.29942850,
"lng" : -74.21793260000001
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 45.0158650,
"lng" : -71.7774910
},
"southwest" : {
"lat" : 40.4773990,
"lng" : -79.762590
}
}
},
"types" : [ "administrative_area_level_1", "political" ]
},
{
"address_components" : [
{
"long_name" : "United States",
"short_name" : "US",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "United States",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 71.53879999999999,
"lng" : -66.88507489999999
},
"southwest" : {
"lat" : 18.77630,
"lng" : 170.59570
}
},
"location" : {
"lat" : 37.090240,
"lng" : -95.7128910
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 71.53879999999999,
"lng" : -66.88507489999999
},
"southwest" : {
"lat" : 18.77630,
"lng" : 170.59570
}
}
},
"types" : [ "country", "political" ]
}
],
"status" : "OK"
}
答案 0 :(得分：-4)
我设法搞清楚了。我写了一些代码来循环遍历每个对象，直到我从String中得到我需要的东西。我将在今天晚些时候发布代码。谢谢您的帮助。它只是很多数据，我想也许有人会有更简单的方法。