Php 使用Google';从JSON数组中获取正确的值;s地理编码API
我正在使用Php 使用Google';从JSON数组中获取正确的值;s地理编码API,php,geocoding,google-geocoding-api,Php,Geocoding,Google Geocoding Api,我正在使用Google地理编码API和PHP(cURL)来获取JSON数组。 一切都很好。 问题是并非每个输出都是相同的 例如: 我有两个地址: 阿姆斯特丹1号大坝 Kurfürstendamm 1号,柏林 对于阿姆斯特丹地址,$array['results'][0]['address\u components']的计数为8,而柏林地址的计数为7 JSON输出: { "results" : [ { "address_components" : [
Google地理编码API
和PHP
(cURL)来获取JSON数组。
一切都很好。
问题是并非每个输出都是相同的
例如:
我有两个地址:
$array['results'][0]['address\u components']
的计数为8,而柏林地址的计数为7
JSON输出:
{
"results" : [
{
"address_components" : [
{
"long_name" : "1",
"short_name" : "1",
"types" : [ "street_number" ]
},
{
"long_name" : "Dam",
"short_name" : "Dam",
"types" : [ "route" ]
},
{
"long_name" : "Centrum",
"short_name" : "Centrum",
"types" : [ "sublocality_level_1", "sublocality", "political" ]
},
{
"long_name" : "Amsterdam",
"short_name" : "Amsterdam",
"types" : [ "locality", "political" ]
},
{
"long_name" : "Amsterdam",
"short_name" : "Amsterdam",
"types" : [ "administrative_area_level_2", "political" ]
},
{
"long_name" : "Noord-Holland",
"short_name" : "NH",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "Nederland",
"short_name" : "NL",
"types" : [ "country", "political" ]
},
{
"long_name" : "1012 JS",
"short_name" : "1012 JS",
"types" : [ "postal_code" ]
}
],
"formatted_address" : "Dam 1, 1012 JS Amsterdam, Nederland",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 52.3740904,
"lng" : 4.8951464
},
"southwest" : {
"lat" : 52.37303319999999,
"lng" : 4.893589
}
},
"location" : {
"lat" : 52.3735618,
"lng" : 4.8943677
},
"location_type" : "ROOFTOP",
"viewport" : {
"northeast" : {
"lat" : 52.37491078029149,
"lng" : 4.895716680291502
},
"southwest" : {
"lat" : 52.3722128197085,
"lng" : 4.893018719708498
}
}
},
"place_id" : "ChIJ46bYaccJxkcRR1k-7Pl25Kg",
"types" : [ "premise" ]
}
],
"status" : "OK"
}
阿姆斯特丹:
{
"results" : [
{
"address_components" : [
{
"long_name" : "1",
"short_name" : "1",
"types" : [ "street_number" ]
},
{
"long_name" : "Dam",
"short_name" : "Dam",
"types" : [ "route" ]
},
{
"long_name" : "Centrum",
"short_name" : "Centrum",
"types" : [ "sublocality_level_1", "sublocality", "political" ]
},
{
"long_name" : "Amsterdam",
"short_name" : "Amsterdam",
"types" : [ "locality", "political" ]
},
{
"long_name" : "Amsterdam",
"short_name" : "Amsterdam",
"types" : [ "administrative_area_level_2", "political" ]
},
{
"long_name" : "Noord-Holland",
"short_name" : "NH",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "Nederland",
"short_name" : "NL",
"types" : [ "country", "political" ]
},
{
"long_name" : "1012 JS",
"short_name" : "1012 JS",
"types" : [ "postal_code" ]
}
],
"formatted_address" : "Dam 1, 1012 JS Amsterdam, Nederland",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 52.3740904,
"lng" : 4.8951464
},
"southwest" : {
"lat" : 52.37303319999999,
"lng" : 4.893589
}
},
"location" : {
"lat" : 52.3735618,
"lng" : 4.8943677
},
"location_type" : "ROOFTOP",
"viewport" : {
"northeast" : {
"lat" : 52.37491078029149,
"lng" : 4.895716680291502
},
"southwest" : {
"lat" : 52.3722128197085,
"lng" : 4.893018719708498
}
}
},
"place_id" : "ChIJ46bYaccJxkcRR1k-7Pl25Kg",
"types" : [ "premise" ]
}
],
"status" : "OK"
}
柏林:
{
"results" : [
{
"address_components" : [
{
"long_name" : "1",
"short_name" : "1",
"types" : [ "street_number" ]
},
{
"long_name" : "Kurfürstendamm",
"short_name" : "Kurfürstendamm",
"types" : [ "route" ]
},
{
"long_name" : "Bezirk Charlottenburg-Wilmersdorf",
"short_name" : "Bezirk Charlottenburg-Wilmersdorf",
"types" : [ "sublocality_level_1", "sublocality", "political" ]
},
{
"long_name" : "Berlin",
"short_name" : "Berlin",
"types" : [ "locality", "political" ]
},
{
"long_name" : "Berlin",
"short_name" : "Berlin",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "Duitsland",
"short_name" : "DE",
"types" : [ "country", "political" ]
},
{
"long_name" : "10719",
"short_name" : "10719",
"types" : [ "postal_code" ]
}
],
"formatted_address" : "Kurfürstendamm 1, 10719 Berlin, Duitsland",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 52.50440769999999,
"lng" : 13.3337799
},
"southwest" : {
"lat" : 52.5043971,
"lng" : 13.3337737
}
},
"location" : {
"lat" : 52.50440769999999,
"lng" : 13.3337737
},
"location_type" : "RANGE_INTERPOLATED",
"viewport" : {
"northeast" : {
"lat" : 52.50575138029149,
"lng" : 13.3351257802915
},
"southwest" : {
"lat" : 52.5030534197085,
"lng" : 13.3324278197085
}
}
},
"partial_match" : true,
"place_id" : "EixLdXJmw7xyc3RlbmRhbW0gMSwgMTA3MTkgQmVybGluLCBEZXV0c2NobGFuZA",
"types" : [ "street_address" ]
}
],
"status" : "OK"
}
Street = Dam
Housenumber = 1
Postalcode = 1012 JS
City = Amsterdam
Country = Netherlands
Street = Kurfürstendamm
Housenumber = 1
Notice: Undefined offset: 7 in .... on line ....
Postalcode =
City = Berlin
Country = 10719
正如您所看到的,国家和邮政编码索引是不同的(国家:6和5,邮政编码7和6)
当我想显示两个城市的街道、门牌号、邮政编码、城市和国家时,如下所示:
echo 'Street = '.$array['results'][0]['address_components'][1]['long_name'].'<br />';
echo 'Housenumber = '.$array['results'][0]['address_components'][0]['long_name'].'<br />';
echo 'Postalcode = '.$array['results'][0]['address_components'][7]['long_name'].'<br />';
echo 'City = '.$array['results'][0]['address_components'][3]['long_name'].'<br />';
echo 'Country = '.$array['results'][0]['address_components'][6]['long_name'].'<br />';
柏林:
{
"results" : [
{
"address_components" : [
{
"long_name" : "1",
"short_name" : "1",
"types" : [ "street_number" ]
},
{
"long_name" : "Kurfürstendamm",
"short_name" : "Kurfürstendamm",
"types" : [ "route" ]
},
{
"long_name" : "Bezirk Charlottenburg-Wilmersdorf",
"short_name" : "Bezirk Charlottenburg-Wilmersdorf",
"types" : [ "sublocality_level_1", "sublocality", "political" ]
},
{
"long_name" : "Berlin",
"short_name" : "Berlin",
"types" : [ "locality", "political" ]
},
{
"long_name" : "Berlin",
"short_name" : "Berlin",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "Duitsland",
"short_name" : "DE",
"types" : [ "country", "political" ]
},
{
"long_name" : "10719",
"short_name" : "10719",
"types" : [ "postal_code" ]
}
],
"formatted_address" : "Kurfürstendamm 1, 10719 Berlin, Duitsland",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 52.50440769999999,
"lng" : 13.3337799
},
"southwest" : {
"lat" : 52.5043971,
"lng" : 13.3337737
}
},
"location" : {
"lat" : 52.50440769999999,
"lng" : 13.3337737
},
"location_type" : "RANGE_INTERPOLATED",
"viewport" : {
"northeast" : {
"lat" : 52.50575138029149,
"lng" : 13.3351257802915
},
"southwest" : {
"lat" : 52.5030534197085,
"lng" : 13.3324278197085
}
}
},
"partial_match" : true,
"place_id" : "EixLdXJmw7xyc3RlbmRhbW0gMSwgMTA3MTkgQmVybGluLCBEZXV0c2NobGFuZA",
"types" : [ "street_address" ]
}
],
"status" : "OK"
}
Street = Dam
Housenumber = 1
Postalcode = 1012 JS
City = Amsterdam
Country = Netherlands
Street = Kurfürstendamm
Housenumber = 1
Notice: Undefined offset: 7 in .... on line ....
Postalcode =
City = Berlin
Country = 10719
所以问题是,如何在“address\u components”
数组中按“types”
获取“long\u name”
或者可能有更好的方法?您可以尝试以下代码将JSON响应转换为以地址组件为键的数组:
function convertAddress($json)
{
$data = json_decode($json);
$address = array();
foreach($data['results']['address_components'] AS $_component){
$key = array_values($_component['types']);
$address[$key[0]] = $_component;
}
return $address;
}
这对我来说非常适用于您的测试数据,然后您可以访问如下数据:
$address = convertAddress($berlin_address);
print $address['post_code']['long_name'];
请注意,我只处理了JSON的地址组件部分,其余部分应该很容易处理到方法中。不用担心,随时都可以!