Question

我正在使用Google Geocoding API和PHP（cURL）来获取JSON数组。这一切都很好。问题是不是每个输出都是相同的。

示例：

我有两个地址：

阿姆斯特丹大坝1号。
Kurfürstendamm1，柏林

对于阿姆斯特丹地址，$array['results'][0]['address_components']的数量为8，而柏林的数量为7。

JSON输出：

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"
}

如您所见，国家和邮政编码索引不同（国家：6和5，邮政编码7和6）

当我想要显示这两个城市的街道，房屋号码，邮政编码，城市和国家时：

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 />';

显示以下输出：

阿姆斯特丹：

Street = Dam
Housenumber = 1
Postalcode = 1012 JS
City = Amsterdam
Country = Netherlands

柏林：

Street = Kurfürstendamm
Housenumber = 1

Notice: Undefined offset: 7 in .... on line ....
Postalcode = 
City = Berlin
Country = 10719

所以问题是，如何在"long_name"数组中获得"types"每"address_components"个？

或许还有更好的方法？

Answer 1

您可以尝试以下代码将JSON响应转换为地址组件为键的数组：

for (var i = 0; i < myArray.length; i++) {
    Math.pow(squaredArray[i], 2);
};

这对我的测试数据非常有用，您可以访问这样的数据：

for-loop

请注意我只处理过JSON的address_components部分，其余部分应该很容易用到该方法中。

使用Google的地理编码API

1 个答案: