我正在使用 Javascript/JQuery 来使用 Google Web 服务,并且可以毫无问题地检索 JSON 结果,并将它们存储在 var(名为 searchResults)中。在此示例中,我只是将对象中要显示的所有信息(address_components 的每个子对象中的 long_name 以及 lat 和 lng 值)添加到字符串 var (displayTxt)。
但是,结果中有许多未命名的对象,我找不到一种简单的方法来定位它们。我想使用标准的 object.property 语法,尽管如果对象没有命名(并且有多个对象),这是不可能的。我已经使用嵌入式 $.each 循环来循环遍历每个连续的对象,并且这个解决方案确实有效,但我认为它不是很整洁。所以我的问题是:是否有更好的方法来达到相同的结果?
$( "#displayBtn" ).click(function()
{
var displayTxt = "";
if (searchResults.results)
{
$.each(searchResults.results, function (k,v)
{
displayTxt +=( "Result ID: " + k + "<br>");
$.each(v,function(a,b)
{
if(a=="address_components")
{
$.each(b,function(c,d)
{
displayTxt += (d.long_name + "<br>")
})
}
})
displayTxt+= "lat:" + v.geometry.location.lat +"<br>";
displayTxt+= "lng:" + v.geometry.location.lng +"<br><br>";
}
)
};
$('#resultsDisplay').html(displayTxt);
});
这是 searchResults 对象:
{
"results" : [
{
"address_components" : [
{
"long_name" : "Reading",
"short_name" : "Reading",
"types" : [ "locality", "political" ]
},
{
"long_name" : "Exeter",
"short_name" : "Exeter",
"types" : [ "administrative_area_level_3", "political" ]
},
{
"long_name" : "Berks County",
"short_name" : "Berks County",
"types" : [ "administrative_area_level_2", "political" ]
},
{
"long_name" : "Pennsylvania",
"short_name" : "PA",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "United States",
"short_name" : "US",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "Reading, PA, USA",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 40.371134,
"lng" : -75.890512
},
"southwest" : {
"lat" : 40.296401,
"lng" : -75.9598731
}
},
"location" : {
"lat" : 40.3356483,
"lng" : -75.9268747
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 40.371134,
"lng" : -75.890512
},
"southwest" : {
"lat" : 40.296401,
"lng" : -75.9598731
}
}
},
"types" : [ "locality", "political" ]
},
{
"address_components" : [
{
"long_name" : "Reading",
"short_name" : "Reading",
"types" : [ "locality", "political" ]
},
{
"long_name" : "Reading",
"short_name" : "Reading",
"types" : [ "postal_town" ]
},
{
"long_name" : "Reading",
"short_name" : "Reading",
"types" : [ "administrative_area_level_2", "political" ]
},
{
"long_name" : "England",
"short_name" : "England",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "United Kingdom",
"short_name" : "GB",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "Reading, Reading, Reading, UK",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 51.4931339,
"lng" : -0.9284944000000001
},
"southwest" : {
"lat" : 51.4097795,
"lng" : -1.0636011
}
},
"location" : {
"lat" : 51.4542645,
"lng" : -0.9781303
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 51.4931339,
"lng" : -0.9284944000000001
},
"southwest" : {
"lat" : 51.4097795,
"lng" : -1.0636011
}
}
},
"types" : [ "locality", "political" ]
},
{
"address_components" : [
{
"long_name" : "Reading",
"short_name" : "Reading",
"types" : [ "locality", "political" ]
},
{
"long_name" : "Middlesex County",
"short_name" : "Middlesex County",
"types" : [ "administrative_area_level_2", "political" ]
},
{
"long_name" : "Massachusetts",
"short_name" : "MA",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "United States",
"short_name" : "US",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "Reading, MA, USA",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 42.566432,
"lng" : -71.07103499999999
},
"southwest" : {
"lat" : 42.5006449,
"lng" : -71.1361789
}
},
"location" : {
"lat" : 42.5256563,
"lng" : -71.0952891
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 42.566432,
"lng" : -71.07103499999999
},
"southwest" : {
"lat" : 42.5006449,
"lng" : -71.1361789
}
}
},
"types" : [ "locality", "political" ]
},
{
"address_components" : [
{
"long_name" : "Reading",
"short_name" : "Reading",
"types" : [ "locality", "political" ]
},
{
"long_name" : "Hamilton County",
"short_name" : "Hamilton County",
"types" : [ "administrative_area_level_2", "political" ]
},
{
"long_name" : "Ohio",
"short_name" : "OH",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "United States",
"short_name" : "US",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "Reading, OH, USA",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 39.240921,
"lng" : -84.407549
},
"southwest" : {
"lat" : 39.2038819,
"lng" : -84.454735
}
},
"location" : {
"lat" : 39.2236694,
"lng" : -84.44216410000001
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 39.240921,
"lng" : -84.407549
},
"southwest" : {
"lat" : 39.2038819,
"lng" : -84.454735
}
}
},
"types" : [ "locality", "political" ]
},
{
"address_components" : [
{
"long_name" : "Reading",
"short_name" : "Reading",
"types" : [ "locality", "political" ]
},
{
"long_name" : "Windsor County",
"short_name" : "Windsor County",
"types" : [ "administrative_area_level_2", "political" ]
},
{
"long_name" : "Vermont",
"short_name" : "VT",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "United States",
"short_name" : "US",
"types" : [ "country", "political" ]
}
],
"formatted_address" : "Reading, VT, USA",
"geometry" : {
"bounds" : {
"northeast" : {
"lat" : 43.561169,
"lng" : -72.53007579999999
},
"southwest" : {
"lat" : 43.4440849,
"lng" : -72.66064299999999
}
},
"location" : {
"lat" : 43.494167,
"lng" : -72.59638900000002
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 43.561169,
"lng" : -72.53007579999999
},
"southwest" : {
"lat" : 43.4440849,
"lng" : -72.66064299999999
}
}
},
"types" : [ "locality", "political" ]
},
{
"address_components" : [
{
"long_name" : "Reading",
"short_name" : "Reading",
"types" : [ "locality", "political" ]
},
{
"long_name" : "Summit Lake",
"short_name" : "Summit Lake",
"types" : [ "administrative_area_level_3", "political" ]
},
{
"long_name" : "Nobles County",
"short_name" : "Nobles County",
"types" : [ "administrative_area_level_2", "political" ]
},
{
"long_name" : "Minnesota",
"short_name" : "MN",
"types" : [ "administrative_area_level_1", "political" ]
},
{
"long_name" : "United States",
"short_name" : "US",
"types" : [ "country", "political" ]
},
{
"long_name" : "56165",
"short_name" : "56165",
"types" : [ "postal_code" ]
}
],
"formatted_address" : "Reading, MN 56165, USA",
"geometry" : {
"location" : {
"lat" : 43.7035752,
"lng" : -95.7130676
},
"location_type" : "APPROXIMATE",
"viewport" : {
"northeast" : {
"lat" : 43.70492418029149,
"lng" : -95.71171861970849
},
"southwest" : {
"lat" : 43.70222621970849,
"lng" : -95.71441658029151
}
}
},
"types" : [ "locality", "political" ]
}
],
"status" : "OK"
}
最佳答案
看起来好像你有一个对象数组,这些对象没有名称(它们没有分配给变量,只是数组的一部分)。不过,您确实有一些不同的选项来迭代数组。
经典的迭代器是使用长度的for循环,如:
var data = [{value: 1}, {value: 2}, {value: 3}, {value: 4}, {value: 5}];
for (var i = 0; i < data.length; ++i) {
console.log(data[i].value);
}
这将记录遇到的每个项目,并使用数组索引来访问它们。项目是什么并不重要,您只需更改数组内的逻辑即可。与 $.each
一样,您可以嵌套这些循环(只需确保使用不同的变量)。
如果您有权使用一些新的 JS 功能,则已将 forEach
方法添加到数组中,它允许您执行以下操作:
var data = [{value: 1}, {value: 2}, {value: 3}, {value: 4}, {value: 5}];
data.forEach(function(it) {
console.log(it.value);
});
这更像是 $.each
,但内置于数组中,并且在迭代 DOM 元素等时不具有相同的语义。同样,您可以嵌套它们,但无需担心计数器。这是推荐的方式(如果可用)。
无论哪种方式,一旦你拥有了该项目(通过从数组访问它),你就拥有了它的“名称”(它已被分配给一个变量),并且你可以使用正常的对象访问语法来获取其中的属性对象。
如果您想将数据转换为新数组或将元素合并为单个返回值,您可以查看类似 map
的方法。或reduce
,现在可在数组上使用(之前可在 Underscore 和 lodash 等库中使用)。
关于javascript - 访问未命名对象的属性(对象内),我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/28155297/