我要做的是为每个地址预测生成所有List<string>的{{1}}，因为其他数据与此项目无关。这是我正在使用的JSON：
"description"
This is the most relevant documentation I can find，但是当我尝试使用此代码的相同方法时，
{
"predictions" : [
{
"description" : "123 Fake Street, Chuxiong, Yunnan, China",
"id" : "7e358b51222e27748f2edb85fdced03ce521a8d1",
"matched_substrings" : [
{
"length" : 15,
"offset" : 0
}
],
"place_id" : "EigxMjMgRmFrZSBTdHJlZXQsIENodXhpb25nLCBZdW5uYW4sIENoaW5h",
"reference" : "CmRWAAAAkvZoFSAdrZVT-kn39UmjrxpNLA8EHBVHD4wWk1gh-fJ9eRfYKXI3MPC-WgkSBvqjYH1y9zGJJhzkirL1gh_tdzWOCg5PxpeWJInJhrL6iJpDRYM9SE-vRrnzvwRcKmFkEhCC1kdbeGjmZzhICnOQgBeyGhRr4JloDu9qsNvfNgWnT7TjomYnMQ",
"structured_formatting" : {
"main_text" : "123 Fake Street",
"main_text_matched_substrings" : [
{
"length" : 15,
"offset" : 0
}
],
"secondary_text" : "Chuxiong, Yunnan, China"
},
"terms" : [
{
"offset" : 0,
"value" : "123 Fake Street"
},
{
"offset" : 17,
"value" : "Chuxiong"
},
{
"offset" : 27,
"value" : "Yunnan"
},
{
"offset" : 35,
"value" : "China"
}
],
"types" : [ "route", "geocode" ]
},
{
"description" : "123 Fake Road, York, PA, United States",
"id" : "0bc5d3a9d8627eeed8da28434a65a5732470ae62",
"matched_substrings" : [
{
"length" : 13,
"offset" : 0
}
],
"place_id" : "EiYxMjMgRmFrZSBSb2FkLCBZb3JrLCBQQSwgVW5pdGVkIFN0YXRlcw",
"reference" : "CmRUAAAAJ2xHFZSOF_UUjGB9RI5TMFUsHWUeo2TBEjUu8lGJ9IDX-hegwwkOvsPADTet0Xqsw0IJ6tlIRByCR52rKJuGrwQ2-dBFiFqfYViJFxsUpTqcuwhyXuieBWhixBI3HdXUEhCXLWrK158AahJT9L0AARhAGhSJ6kXvCjpcQ_UOxLe_lUGddkgj9g",
"structured_formatting" : {
"main_text" : "123 Fake Road",
"main_text_matched_substrings" : [
{
"length" : 13,
"offset" : 0
}
],
"secondary_text" : "York, PA, United States"
},
"terms" : [
{
"offset" : 0,
"value" : "123 Fake Road"
},
{
"offset" : 15,
"value" : "York"
},
{
"offset" : 21,
"value" : "PA"
},
{
"offset" : 25,
"value" : "United States"
}
],
"types" : [ "route", "geocode" ]
},
{
"description" : "123 Fake Drive, Luray, VA, United States",
"id" : "8f24aaae29e3c66d166b474078a764f67752b6b0",
"matched_substrings" : [
{
"length" : 14,
"offset" : 0
}
],
"place_id" : "EigxMjMgRmFrZSBEcml2ZSwgTHVyYXksIFZBLCBVbml0ZWQgU3RhdGVz",
"reference" : "CmRWAAAAo4DSwUPKoaYCbnXEVLN-XPYjwrdLeu9r5NbhMStAYXbDhRkxfl1kS_8sYA-ppwyiAj2-MpBwTy2-P3Vo8yCEAmy5JqZwBtdImKRHGwCw8fY7UFXYJO7yhaUyFE-41z25EhBU6Ne6JR94DU7zl168LyUhGhS9xQHoi_zd9AMsDfp84w8Ol5hCXQ",
"structured_formatting" : {
"main_text" : "123 Fake Drive",
"main_text_matched_substrings" : [
{
"length" : 14,
"offset" : 0
}
],
"secondary_text" : "Luray, VA, United States"
},
"terms" : [
{
"offset" : 0,
"value" : "123 Fake Drive"
},
{
"offset" : 16,
"value" : "Luray"
},
{
"offset" : 23,
"value" : "VA"
},
{
"offset" : 27,
"value" : "United States"
}
],
"types" : [ "route", "geocode" ]
},
{
"description" : "123 Fake Lane, Orangeburg, SC, United States",
"id" : "d3d3f49c60871bac676f5872ed7d04bff3a2d737",
"matched_substrings" : [
{
"length" : 13,
"offset" : 0
}
],
"place_id" : "EiwxMjMgRmFrZSBMYW5lLCBPcmFuZ2VidXJnLCBTQywgVW5pdGVkIFN0YXRlcw",
"reference" : "CmRaAAAAWkmzLjcStucl1QuYHjQdip4h7zK9H6WmcnFlVR09FQf4iQSDAb04G1KHC55-ah_za5PaGNtvAf-Qh7EOrVwBcbCvhlIeje_RFJgqPM2mAqi8Joc_pufBOlOjQ8WAlAmGEhBM5xgeFZ0igc1JDxFjbmZ9GhROPsh63HGcp_baMGel8ln3WIUrjg",
"structured_formatting" : {
"main_text" : "123 Fake Lane",
"main_text_matched_substrings" : [
{
"length" : 13,
"offset" : 0
}
],
"secondary_text" : "Orangeburg, SC, United States"
},
"terms" : [
{
"offset" : 0,
"value" : "123 Fake Lane"
},
{
"offset" : 15,
"value" : "Orangeburg"
},
{
"offset" : 27,
"value" : "SC"
},
{
"offset" : 31,
"value" : "United States"
}
],
"types" : [ "route", "geocode" ]
},
{
"description" : "123 Fake Hollow Road, York, PA, United States",
"id" : "4211cef659a1322f42e85183cb41e75d2b6ae65a",
"matched_substrings" : [
{
"length" : 20,
"offset" : 0
}
],
"place_id" : "Ei0xMjMgRmFrZSBIb2xsb3cgUm9hZCwgWW9yaywgUEEsIFVuaXRlZCBTdGF0ZXM",
"reference" : "CmRbAAAAOVlDirZh2WjzSXj28VM2peJHG9rTiQ57hqtTr94dCLAQezuZJJT4dqFC8B9TFyddBfhDDMrbSwZro9RkLkvLzxb95XHtzfb1ZnlCNVfK9_K4rEHHwcQ7Ndd3l8x5GNXGEhBDc6mw6iyjYcOVZo44mLwvGhSNaBwDy9OgIAyNa8_gvSyQ3bC3cQ",
"structured_formatting" : {
"main_text" : "123 Fake Hollow Road",
"main_text_matched_substrings" : [
{
"length" : 20,
"offset" : 0
}
],
"secondary_text" : "York, PA, United States"
},
"terms" : [
{
"offset" : 0,
"value" : "123 Fake Hollow Road"
},
{
"offset" : 22,
"value" : "York"
},
{
"offset" : 28,
"value" : "PA"
},
{
"offset" : 32,
"value" : "United States"
}
],
"types" : [ "route", "geocode" ]
}
],
"status" : "OK"
}这是我得到的错误：
Newtonsoft.Json.JsonSerializationException：'读取DataTable时出现意外的JSON令牌：StartObject。路径'预测[0] .structured_formatting'
我认为这是因为示例的JSON没有像我正在使用的那样嵌套，但我不完全确定。
答案 0 :(得分：0)
以下内容适合您。
List<String> addressList = new List<string>();
dynamic pleaseWork = JsonConvert.DeserializeObject(thisIsMyJsonString);
foreach (var obj in pleaseWork.predictions)
{
addressList.Add(obj.description.Value);
}
答案 1 :(得分：0)
您可以使用Linq查询它;
JObject root = JObject.Parse(thisIsMyJsonString);
List<String> descriptions = (from p in root["predictions"] //for every item in predictions
select (string)p["description"] //select its description
).ToList();