Newtonsoft.Json
Newtonsoft.Json 是.Net平台操作Json的工具,他的介绍就不多说了,笔者最近在弄接口,需要操作Json。
以某个云计算平台的Token为例,边操作边讲解。
Json 转为 Model
将 Model 转为 Json
将 LINQ 转为 JSON
Linq 操作
命名空间、类型、方法大全
另外附上 百度AI 文字识别 Json 及其模型类
Newtonsoft.Json 将字符串转为对象,是根据类型对象名称进行的,大小写不分,但是名称要一致要,哪怕你的json只有一个
{ "a":1 }
你的对象
public class Test { public int aa{get;set;} }
也是不能对应的。
有复杂层次的 json,可以使用 “类中类” 来映射,要注意 List<T>/Array/ArrayList的类型的使用。
Json 转为 Model
新建一个 Json 文件,名字随意,例如 json1.json
把以下内容粘贴进去
{ "refresh_token": "25.ea2f85ebd48df85fe5400000.18640.282335-15533349", "expires_in": 2592010, "session_key": "9mzdWr3n8ncMeDgX8zjhkhlW8khb5cdZtPevPbPwQGBg==", "access_token": "24.ac0ca9fakhlkyhl552017858.282335-15533349", "scope": "audio_voice_assistant_get audio_tts_post public vis-ocr_ocr nlp_simnet nlp_wclassify_watermark brain_ocr_scope vis-classify_car brain_gif_antiporn brain_ocr_general brain_ocr_general_basic brain_ocr_generer vis-classify_animal brain_politician brain_unit_utterance brain_imgquality_general brain_nlp_simnet brain_nlp_depparser vis-classify_plant brain_solution brain_ocr_plate_number brain_nlp_wordembedding brain_nlp_dnnlm_cn_legacy brain_nlp_simnet_legacy brain_nlp_commain_animal_classify brain_plant_classify brain_solution_iocr brain_realtime_product brain_nlp_lexer_custom brain_kgbody_analysis brain_body_attr brain_ocr_vat_invoice brain_advanced_general_classify brain_numbers brain_body_number vis-faceverify_FACE_auth_sessionkey smartapp_swanid_verify smartapp_opensource_openapi", "session_secret": "2ca66d464545c77a4767f709873be4" }
定义一个模型,文件名为 AccessTokenModel.cs
public class AccessTokenModel { public string refresh_token { get; set; } public string expires_in { get; set; }//: Access Token的有效期(秒为单位,一般为1个月) public string scope { get; set; } public string session_key { get; set; } public string access_token { get; set; }//: 要获取的Access Token public string session_secret { get; set; } }
打开 Program.cs 文件
public static void Main(string[] args) { FileStream fs = new FileStream(@"请修改成你的文件路径\json1.json", FileMode.Open); StreamReader fileStream = new StreamReader(fs); string str = ""; string line; while ((line = fileStream.ReadLine()) != null) { str += line; } //上面的代码没有意义,只是将Json文件的内容加载到字符串中 JObject jObject = new JObject(); //新建 操作对象 AccessTokenModel a = JsonConvert.DeserializeObject<AccessTokenModel>(str); Console.WriteLine(a.access_token); //随意输出一个属性 Console.ReadKey(); }
重点方法
JsonConvert.DeserializeObject<要转化的模型类>("字符串对象");
之后可以很方便的把Json文件的内容存放到数据库中。
集合
把Json文件改成以下的样子
[{ "refresh_token": "25.ea2f85ebd48df85fe5400000.18640.282335-15533349", "expires_in": 2592010, "session_key": "9mzdWr3n8ncMeDgX8zjhkhlW8khb5cdZtPevPbPwQGBg==", "access_token": "24.ac0ca9fakhlkyhl552017858.282335-15533349", "scope": "audio_voice_assistant_get audio_tts_post public vis-ocr_ocr nlp_simnet nlp_wclassify_watermark brain_ocr_scope vis-classify_car brain_gif_antiporn brain_ocr_general brain_ocr_general_basic brain_ocr_generer vis-classify_animal brain_politician brain_unit_utterance brain_imgquality_general brain_nlp_simnet brain_nlp_depparser vis-classify_plant brain_solution brain_ocr_plate_number brain_nlp_wordembedding brain_nlp_dnnlm_cn_legacy brain_nlp_simnet_legacy brain_nlp_commain_animal_classify brain_plant_classify brain_solution_iocr brain_realtime_product brain_nlp_lexer_custom brain_kgbody_analysis brain_body_attr brain_ocr_vat_invoice brain_advanced_general_classify brain_numbers brain_body_number vis-faceverify_FACE_auth_sessionkey smartapp_swanid_verify smartapp_opensource_openapi", "session_secret": "2ca66d464545c77a4767f709873be4" }, { "refresh_token": "25.ea2f85ebd48df85fe5400000.18640.282335-15533349", "expires_in": 2592010, "session_key": "9mzdWr3n8ncMeDgX8zjhkhlW8khb5cdZtPevPbPwQGBg==", "access_token": "24.ac0ca9fakhlkyhl552017858.282335-15533349", "scope": "audio_voice_assistant_get audio_tts_post public vis-ocr_ocr nlp_simnet nlp_wclassify_watermark brain_ocr_scope vis-classify_car brain_gif_antiporn brain_ocr_general brain_ocr_general_basic brain_ocr_generer vis-classify_animal brain_politician brain_unit_utterance brain_imgquality_general brain_nlp_simnet brain_nlp_depparser vis-classify_plant brain_solution brain_ocr_plate_number brain_nlp_wordembedding brain_nlp_dnnlm_cn_legacy brain_nlp_simnet_legacy brain_nlp_commain_animal_classify brain_plant_classify brain_solution_iocr brain_realtime_product brain_nlp_lexer_custom brain_kgbody_analysis brain_body_attr brain_ocr_vat_invoice brain_advanced_general_classify brain_numbers brain_body_number vis-faceverify_FACE_auth_sessionkey smartapp_swanid_verify smartapp_opensource_openapi", "session_secret": "2ca66d464545c77a4767f709873be4" } ]
public static void Main(string[] args) { FileStream fs = new FileStream(@"请修改成你的文件路径\json1.json", FileMode.Open); StreamReader fileStream = new StreamReader(fs); string str = ""; string line; while ((line = fileStream.ReadLine()) != null) { str += line; } //上面的代码没有意义,只是将Json文件的内容加载到字符串中 JObject jObject = new JObject(); //新建 操作对象 List<AccessTokenModel> a = JsonConvert.DeserializeObject<List<AccessTokenModel>>(str); foreach (var i in a) { Console.WriteLine(i.access_token); } Console.ReadKey(); }
将Model转为Json
能够将模型对象转为 Json。
继续使用上面的 AccessTokenModel.cs 文件,
public static void Main(string[] args) { AccessTokenModel accessTokenModel = new AccessTokenModel(); accessTokenModel.access_token = "test1"; accessTokenModel.expires_in = "test2"; accessTokenModel.refresh_token = "test3"; accessTokenModel.scope = "test4"; accessTokenModel.session_key = "test5"; accessTokenModel.session_secret = "test6"; JObject jObject = new JObject(); string str = JsonConvert.SerializeObject(accessTokenModel); //转为字符串 Console.WriteLine(str); Console.ReadKey(); }
重点方法
JsonConvert.SerializeObject(a模型对象);
运行后可以看到控制台输出的是Json字符串了,你可以继续把他放到Json文件中,这里不再赘述。
将 LINQ 转为 JSON
下面这个是从官网直接copy的例子,Jarray 是其框架提供的一种类型。
在控制台运行后会发现输出的字符是已经格式化的。
public static void Main(string[] args) { JArray array = new JArray(); array.Add("Manual text"); array.Add(new DateTime(2000, 5, 23)); JObject o = new JObject(); o["MyArray"] = array; string json = o.ToString(); // { // "MyArray": [ // "Manual text", // "2000-05-23T00:00:00" // ] // } Console.WriteLine(json); Console.ReadKey();
Linq 操作
框架提供了对 Jobject 对象的Linq操作支持
using Newtonsoft.Json.Linq;
之后你可以像操作数组、集合或者Context一样方便。
命名空间、类型、方法大全
本来想翻译一下的,英语太差,算了。在常用的类型前面加粗吧
Classes
Class | Description | |||
DefaultJsonNameTable | The default JSON name table implementation. |
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JsonArrayAttribute | Instructs the JsonSerializer how to serialize the collection. |
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JsonConstructorAttribute | Instructs the JsonSerializer to use the specified constructor when deserializing that object. |
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JsonContainerAttribute | Instructs the JsonSerializer how to serialize the object. |
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JsonConvert | 提供用于在.NET 和 Json之间互相转等操作的方法 |
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JsonConverter | Converts an object to and from JSON. |
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JsonConverter<T> | Converts an object to and from JSON. |
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JsonConverterAttribute | Instructs the JsonSerializer to use the specified JsonConverter when serializing the member or class. |
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JsonConverterCollection | Represents a collection of JsonConverter. |
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JsonDictionaryAttribute | Instructs the JsonSerializer how to serialize the collection. |
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JsonException | JSON序列化或反序列化过程中发生错误时引发的异常类型 |
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JsonExtensionDataAttribute | Instructs the JsonSerializer to deserialize properties with no matching class member into the specified collection and write values during serialization. |
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JsonIgnoreAttribute | Instructs the JsonSerializer not to serialize the public field or public read/write property value. |
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JsonNameTable | Base class for a table of atomized string objects. |
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JsonObjectAttribute | Instructs the JsonSerializer how to serialize the object. |
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JsonPropertyAttribute | Instructs the JsonSerializer to always serialize the member with the specified name. |
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JsonReader | Represents a reader that provides fast, non-cached, forward-only access to serialized JSON data. |
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JsonReaderException | The exception thrown when an error occurs while reading JSON text. |
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JsonRequiredAttribute | Instructs the JsonSerializer to always serialize the member, and to require that the member has a value. |
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JsonSerializationException | The exception thrown when an error occurs during JSON serialization or deserialization. |
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JsonSerializer | Serializes and deserializes objects into and from the JSON format. The JsonSerializer enables you to control how objects are encoded into JSON. |
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JsonSerializerSettings | Specifies the settings on a JsonSerializer object. |
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JsonTextReader | Represents a reader that provides fast, non-cached, forward-only access to JSON text data. |
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JsonTextWriter | Represents a writer that provides a fast, non-cached, forward-only way of generating JSON data. |
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JsonValidatingReader | Obsolete. Represents a reader that provides JsonSchema validation.
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JsonWriter | Represents a writer that provides a fast, non-cached, forward-only way of generating JSON data. |
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JsonWriterException | The exception thrown when an error occurs while writing JSON text. |
Interfaces
Interface | Description | |
IArrayPool<T> | Provides an interface for using pooled arrays. |
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IJsonLineInfo | Provides an interface to enable a class to return line and position information. |
Enumerations
Enumeration | Description | |
ConstructorHandling | Specifies how constructors are used when initializing objects during deserialization by the JsonSerializer. |
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DateFormatHandling | Specifies how dates are formatted when writing JSON text. |
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DateParseHandling | Specifies how date formatted strings, e.g. "\/Date(1198908717056)\/" and "2012-03-21T05:40Z", are parsed when reading JSON text. |
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DateTimeZoneHandling | Specifies how to treat the time value when converting between string and DateTime. |
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DefaultValueHandling | Specifies default value handling options for the JsonSerializer. |
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FloatFormatHandling | Specifies float format handling options when writing special floating point numbers, e.g. NaN,PositiveInfinity and NegativeInfinity with JsonWriter. |
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FloatParseHandling | Specifies how floating point numbers, e.g. 1.0 and 9.9, are parsed when reading JSON text. |
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Formatting | Specifies formatting options for the JsonTextWriter. |
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JsonReader.State | Specifies the state of the reader. |
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JsonToken | Specifies the type of JSON token. |
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MemberSerialization | Specifies the member serialization options for the JsonSerializer. |
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MetadataPropertyHandling | Specifies metadata property handling options for the JsonSerializer. |
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MissingMemberHandling | Specifies missing member handling options for the JsonSerializer. |
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NullValueHandling | Specifies null value handling options for the JsonSerializer. |
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ObjectCreationHandling | Specifies how object creation is handled by the JsonSerializer. |
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PreserveReferencesHandling | Specifies reference handling options for the JsonSerializer. Note that references cannot be preserved when a value is set via a non-default constructor such as types that implement ISerializable. |
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ReferenceLoopHandling | Specifies reference loop handling options for the JsonSerializer. |
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Required | Indicating whether a property is required. |
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StringEscapeHandling | Specifies how strings are escaped when writing JSON text. |
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TypeNameAssemblyFormatHandling | Indicates the method that will be used during deserialization for locating and loading assemblies. |
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TypeNameHandling | Specifies type name handling options for the JsonSerializer. |
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WriteState | Specifies the state of the JsonWriter. |
另外附上 百度AI 文字识别 Json 及其模型类
笔者在弄了一段时间的百度 Ai 平台的SDK,封装了OCR SDK,由于现在在找实习工作,所以有部分没有弄完,有兴趣可以添加笔者的微信免费获取。微信在右侧导航栏。
百度AI 识别文字,返回Json结果, 名字随意.格式建议为 json,如果使用记事本保存,注意编码格式是 utf-8,因为c# string默认为utf8,不然会乱码。
{ "log_id": 3413661945235258919, "direction": 0, "words_result_num": 2, "words_result": [ { "vertexes_location": [ { "y": 81, "x": 51 }, { "y": 81, "x": 151 }, { "y": 103, "x": 151 }, { "y": 103, "x": 51 } ], "probability": { "variance": 0.0, "average": 0.999861, "min": 0.999627 }, "chars": [ { "char": "今", "location": { "width": 17, "top": 83, "left": 60, "height": 20 } }, { "char": "天", "location": { "width": 17, "top": 83, "left": 78, "height": 20 } }, { "char": "除", "location": { "width": 12, "top": 83, "left": 103, "height": 20 } }, { "char": "了", "location": { "width": 16, "top": 83, "left": 116, "height": 20 } }, { "char": "皮", "location": { "width": 13, "top": 83, "left": 140, "height": 20 } } ], "min_finegrained_vertexes_location": [ { "y": 81, "x": 51 }, { "y": 81, "x": 151 }, { "y": 103, "x": 151 }, { "y": 103, "x": 51 } ], "finegrained_vertexes_location": [ { "y": 81, "x": 51 }, { "y": 81, "x": 71 }, { "y": 81, "x": 90 }, { "y": 81, "x": 110 }, { "y": 81, "x": 129 }, { "y": 81, "x": 149 }, { "y": 81, "x": 151 }, { "y": 91, "x": 151 }, { "y": 100, "x": 151 }, { "y": 103, "x": 151 }, { "y": 103, "x": 132 }, { "y": 103, "x": 112 }, { "y": 103, "x": 93 }, { "y": 103, "x": 73 }, { "y": 103, "x": 54 }, { "y": 103, "x": 51 }, { "y": 93, "x": 51 }, { "y": 84, "x": 51 } ], "location": { "width": 102, "top": 81, "left": 51, "height": 24 }, "words": "今天除了皮" }, { "vertexes_location": [ { "y": 109, "x": 52 }, { "y": 109, "x": 152 }, { "y": 130, "x": 152 }, { "y": 130, "x": 52 } ], "probability": { "variance": 8E-05, "average": 0.9907, "min": 0.973259 }, "chars": [ { "char": "又", "location": { "width": 16, "top": 111, "left": 61, "height": 20 } }, { "char": "啥", "location": { "width": 12, "top": 111, "left": 85, "height": 20 } }, { "char": "也", "location": { "width": 16, "top": 111, "left": 98, "height": 20 } }, { "char": "没", "location": { "width": 15, "top": 111, "left": 123, "height": 20 } }, { "char": "干", "location": { "width": 13, "top": 111, "left": 141, "height": 20 } } ], "min_finegrained_vertexes_location": [ { "y": 109, "x": 52 }, { "y": 109, "x": 152 }, { "y": 130, "x": 152 }, { "y": 130, "x": 52 } ], "finegrained_vertexes_location": [ { "y": 109, "x": 52 }, { "y": 109, "x": 71 }, { "y": 109, "x": 91 }, { "y": 109, "x": 110 }, { "y": 109, "x": 129 }, { "y": 109, "x": 149 }, { "y": 109, "x": 152 }, { "y": 119, "x": 152 }, { "y": 129, "x": 152 }, { "y": 130, "x": 152 }, { "y": 130, "x": 133 }, { "y": 130, "x": 113 }, { "y": 130, "x": 94 }, { "y": 130, "x": 74 }, { "y": 130, "x": 55 }, { "y": 130, "x": 52 }, { "y": 121, "x": 52 }, { "y": 111, "x": 52 } ], "location": { "width": 102, "top": 109, "left": 52, "height": 22 }, "words": "又啥也没干" } ], "language": -1 }
对应的模型 ,将 cs 文件,名字 GeneralModel.cs
/// <summary> /// 通用文字识别(含位置版)返回结果 /// </summary> public class GeneralModel { /// <summary> /// 必选 /// 唯一的log id,用于问题定位 /// </summary> public long log_id { get; set; } /// <summary> /// 图像方向,当detect_direction=true时存在。 /// 非必选 ///- -1:未定义, ///- 0:正向, ///- 1: 逆时针90度, ///- 2:逆时针180度, ///- 3:逆时针270度 /// </summary> public int direction { get; set; } /// <summary> /// 必选 /// 识别结果数,表示words_result的元素个数 /// </summary> public int words_result_num { get; set; } /// <summary> /// 检测语言 默认值会返回 -1 /// </summary> public string language { get; set; } /// <summary> /// 定位和识别文字结果数组 /// </summary> public List<Words_result> words_result { get; set; } public class Words_result { /// <summary> /// 图片中文字段四个顶点位置(矩形范围) /// </summary> public List<XY> vertexes_Location { get; set; } /// <summary> /// 可选 /// 行置信度信息;如果输入参数 probability = true 则输出 /// </summary> public Probability probability { get; set; } /// <summary> /// 每个字 /// </summary> public List<Chars> chars { get; set; } /// <summary> /// 最小细粒度顶点坐标 /// </summary> public List<XY> min_finegrained_vertexes_location { get; set; } /// <summary> /// 细粒度顶点坐标,多边形 /// </summary> public List<XY> finegrained_vertexes_location { get; set; } /// <summary> /// 文字在图片中的相对位置 /// </summary> public Location location { get; set; } /// <summary> /// 识别出的文字 /// </summary> public string words { get; set; } /// <summary> /// 坐标 /// </summary> public class XY { public int x { get; set; } public int y { get; set; } } /// <summary> /// 行置信度 /// </summary> public class Probability { /// <summary> /// 行置信度平均值方差 /// </summary> public double variance { get; set; } /// <summary> /// 行置信度平均值 /// </summary> public double average { get; set; } /// <summary> /// 行置信度最小值 /// </summary> public double min { get; set; } } /// <summary> /// 单个文字 /// </summary> public class Chars { /// <summary> /// 识别的单个文字 /// </summary> public char chaR { get; set; } /// <summary> /// 该文字范围(矩形) /// </summary> public Location location { get; set; } } } public class Location { public int left { get; set; } public int top { get; set; } public int width { get; set; } public int height { get; set; } } } }
可用控制台进行检验
static void Main(string[] args) { StreamReader streamReader = new StreamReader(System.IO.File.OpenRead(@"json文件位置")); string str = ""; string jsonstr; while ((jsonstr = streamReader.ReadLine()) != null) { str += jsonstr; } GeneralModel generalModel = JsonConvert.DeserializeObject<GeneralModel>(str); Console.WriteLine("图片id:" + generalModel.log_id); Console.WriteLine("图像方向:" + generalModel.direction); Console.WriteLine("检测语言为:" + generalModel.language); Console.WriteLine("有几个结果:" + generalModel.words_result_num); foreach (var item in generalModel.words_result) { Console.WriteLine("识别结果:" + Encoding.UTF8.GetString(Encoding.UTF8.GetBytes(item.words))); foreach (var itemi in item.vertexes_Location) { Console.WriteLine("{x:" + itemi.x + ";y:" + itemi.y + "}"); } Console.WriteLine("Probability:可信度:" + "行置信度平均值" + item.probability.average + ";行置信度平均值方差:" + item.probability.variance + ";行置信度平均值最小值:" + item.probability.min); foreach (var itemi in item.chars) { Console.WriteLine(itemi.chaR); Console.WriteLine("位置: left:" + itemi.location.left + "; height: " + itemi.location.height + "top: " + itemi.location.top + "; width: " + itemi.location.width); } } Console.ReadKey();