Question

我想获取 FILE-file-id ， FILE-fileSize FILENAME-id ， INCIDENT-reportedOn ：

请注意开头的两个“ [[””。我必须先减少_________________________________________________________________ Layer (type) Output Shape Param # ================================================================= block1_conv1 (Conv2D) (None, 224, 224, 64) 1792 _________________________________________________________________ block1_conv2 (Conv2D) (None, 224, 224, 64) 36928 **THE HIDDEN LAYERS** _________________________________________________________________ fc1 (Dense) (None, 4096) 102764544 _________________________________________________________________ fc2 (Dense) (None, 4096) 16781312 _________________________________________________________________ predictions (Dense) (None, 1000) 4097000 _________________________________________________________________ dense_10 (Dense) (None, 2) 2002 ================================================================= Total params: 138,359,546 Trainable params: 2,002 Non-trainable params: 138,357,544吗？

JObject

Answer 1

我假设您已经从两个数组中提取了JObject。在这种情况下，您可以像这样简单地使用索引运算符遍历json文件：

json["FILE"]["id"].Value<string>();
json["FILE"]["properties"]["fileSize"]["value"].Value<string>();
json["FILENAME"]["id"].Value<string>();
json["INCIDENT"]["properties"]["reportedOn"]["Value"].Value<string>();

完整示例：

const string text = @"{
    "FILENAME": {
        "id": "renamedtopdf.docx.pdf",
        "label": "fileName",
        "type": "vertex"
    },
    "FILE": {
        "id": "dc92d48b7e29c528b3eb168446e51736101122a821c9e712320bd6842116719a",
        "label": "file",
        "type": "vertex",
        "properties": {
            "fileSize": [
                {
                    "id": "f9339436-189a-4503-abc6-e2989be6f138",
                    "value": "164198"
                }
            ],
            "mimeType": [
                {
                    "id": "0a89dbfa-c204-45c8-8524-3fbd02b04e39",
                    "value": "application/vnd.openxmlformats-officedocument.wordprocessingml.document.main+xml"
                }
            ]
        }
    },
    "INCIDENT": {
        "id": "16ea8c8b-65ee-44b3-afbb-98308b092b4f",
        "label": "incident",
        "type": "vertex",
        "properties": {
            "reportedOn": [
                {
                    "id": "81485296-a62f-4d17-a03f-4995c3cad937",
                    "value": "2/16/2019 10:33:59 AM"
                }
            ]
        }
    }
}";
var json = JObject.Parse(text);
json["FILE"]["id"].Value<string>();
json["FILE"]["properties"]["fileSize"]["value"].Value<string>();
json["FILENAME"]["id"].Value<string>();
json["INCIDENT"]["properties"]["reportedOn"]["Value"].Value<string>();

如何从JObject获取一些特定值

1 个答案: