我在Android中使用GSON解析JSON对象,该对象的一部分包含多个嵌套对象,这些对象包含所有相同的字段.例如,JSON结构看起来与此类似：{"name": "nestedJSONExample", "divisions": {"division1": {"id": string"name": string,"alsoKnownAs": [string],}"division2": {"id": string"name": string,"alsoKnownAs": [string],}..."division99" {"id": string"name": string,"alsoKnownAs": [string],}}} 在此示例中,所有“ division #...
以下Json结构是Neo4J apoc查询的结果.我想将此嵌套的Json转换为平坦的Json结构,如第二个json所示.[{"child1": [{"_type": "EntityChild1","name": "Test222","_id": 2}],"child2": [{"_type": "EntityChild2","name": "Test333","_id": 3,"child2_child1": [{"_type": "EntityChild2_1","name": "Test444","_id": 6,"child2_child1_child1": [{"_type": "EntityChild2_1_1","name": "Test555","_id": 7}]}]}],"_type": "EntityPare...
背景：在跟其他产品对接过程中，对方传过来的数据是JSON、字典、列表无限循环嵌套的格式。通过key一步一步取到对应值非常繁琐，于是想到写个取值的方法实现。当然，首先是去搜索了一番......果不其然，有个兄弟已经写了一个非常贴近我需求的方法，感谢这位兄弟。原文链接为：https://www.cnblogs.com/Detector/p/8085460.html 但他的方法只能实现字典、列表、元组循环嵌套的格式中取值，而我的实际情况是JSON中还循环嵌套了JSON，于...
我是JSON格式文件的新手. 我有一个Pandas DataFrame：import pandas as pddf = pd.DataFrame([["A", "2014/01/01", "2014/01/02", "A", -0.0061, "A"],["A", "2015/07/11", "2015/08/21", "A", 1.50, "A"],["C", "2016/01/01", "2016/01/05", "U", 2.75, "R"],["D", "2013/05/19", "2014/09/30", "Q", -100.0, "N"],["B", "2015/08/22", "2015/09/01", "T", 10.0, "R"]],columns=["P", "Start", "End", "Category", "Value", "Grou...
说我要制作以下JSON{"key" : "1234","request" : "info","info" : {"type" : "user","login" : {"username" : "some_username","password" : "some_password"}} }目前,这就是我实现的方式//Construct the JSON JSONObject json = new JSONObject(); JSONObject info_json = new JSONObject(); JSONObject login_info = new JSONObject(); try {login_info.put("username", "some_username");login_info.put("password",...
我正在尝试将json文件加载到pandas数据框.我发现有一些嵌套的json.以下是json示例：{'events': [{'id': 142896214,'playerId': 37831,'teamId': 3157,'matchId': 2214569,'matchPeriod': '1H','eventSec': 0.8935539999999946,'eventId': 8,'eventName': 'Pass','subEventId': 85,'subEventName': 'Simple pass','positions': [{'x': 51, 'y': 49}, {'x': 40, 'y': 53}],'tags': [{'id': 1801, 'tag': {'label': 'accurate'}}]}我使...
我正在尝试使用嵌套的json数组来绘制带有d3.js的多系列图表.我在这个网站和其他网站上看了很多地方,虽然有类似的主题,但我似乎无法使语法适用于我的具体问题(这是一个简单的问题). 要制作折线图(如下所示：http://bl.ocks.org/mbostock/3883245),我可以解析这个JSON文件：[{"date":"1-May-12","close":58.13},{"date":"30-Apr-12","close":53.98},{"date":"27-Apr-12","close":67}]通过使用此JavaScript语法：d3.json("data/data2....
我有嵌套的JSON对象{"baseball": {"mlb": {"regular": {"_events": [{"start_time": "2011-07-31 17:35", "lines": [{"comment": "", "coeff": "2.35", "title": "2", "old_coeff": "2.35", "is_main": true}, {"comment": "", "coeff": "1.59", "title": "2", "old_coeff": "1.59", "is_main": true}, {"comment": "", "coeff": "1.59", "title": "2", "old_coeff": "1.59", "is_main": true}, {"comment": "", "coeff": "2.35...
我的问题基本上与这个问题相反： Create a Pandas DataFrame from deeply nested JSON 我想知道是否可以做相反的事情.给出如下表：Library Level School Major 2013 Total 200 MS_AVERY UGRAD GENERAL STUDIES GEST 5079 201 MS_AVERY UGRAD GENERAL STUDIES HIST 5 202 MS_AVERY UGRAD GENERAL STUDIES MELC 2 203 MS_AVERY UGRAD GENERAL STUDIES PHIL 10 204 ...
我有一个程序从数据库(JSON MySQL中的数据存储)检索数据.public static int selectData(Connection conn, String db_type) throws SQLException {JSONObject obj = new JSONObject();String q = "SELECT * FROM common_attr_test";PreparedStatement preparedStatement = conn.prepareStatement(q);preparedStatement.execute();ResultSet rs = preparedStatement.executeQuery();while (rs.next()) {String uuid_user = rs.getStr...
有人可以提供一个示例或引用,它提供了一种方法,可以使用Jackson库将嵌套JAVA对象转换为JSON输出.我没有转换平面JAVA对象的问题.但是,JSON库显示嵌套对象名称和类型而不是其子对象.我几乎利用了http://www.mkyong.com/java/jackson-2-convert-java-object-to-from-json/提供的相同代码.所以我没有附上任何代码示例. 例如// This is what I get { "fname":null, "lname":null, "addr":null }// This is what I need as output { "nam...
我正在尝试使用angular.js,hammer.js和topcoat来制作和移动webapp. 我在显示像这样的Json文件中的数据时遇到了一些麻烦：{ "version": "1", "artists": {"artist1": {"name": "artist1name","jpeg": "../img/artist/artist1.jpg","albums": {"album1": {"type": "cd","title": "titlealbum1","subtitle": "subtitlealbum1","jpeg": "../img/album1.jpg","price": "12.00","anystring1": "anystring1album1","anystring2": "anystri...
参见英文答案 > Access a particular field in arbitrarily nested JSON data 3个我正在尝试使用zippopotam.us获取特定城市的邮政编码.我有以下代码可以工作,除非我尝试访问返回TypeError的post代码键：期望的字符串或缓冲区r = requests.get('http://api.zippopotam.us/us/ma/belmont') j = r.json()data = json.loads(j)print j['state'] print data['places']['latitude']完整的JSON输出：...
这个问题类似于this one,但我想更进一步.是否有可能将解决方案扩展到更高级别的工作？多级数据帧’.to_dict()方法有一些很有前景的选项,但是大多数都会返回由元组索引的条目(即(A,0,0)：274.0),而不是将它们嵌套在字典中. 有关我要完成的示例,请考虑此多索引数据框：data = {0: {('A', 0, 0): 274.0, ('A', 0, 1): 19.0, ('A', 1, 0): 67.0, ('A', 1, 1): 12.0, ('B', 0, 0): 83.0, ('B', 0, 1): 45.0},1: {('A', 0, 0): 254.0, ('...
我有一些格式如下的JSON数据：{"id": "ABC123","offerPrice": 42.00,"regularPrice": 42.00,"variations": [{"key": "Style","value": "Black"}, {"key": "Personalization","value": "2 Lines of Personalization"}] }, {"id": "987ZYX","offerPrice": 52.00,"regularPrice": 52.00,"variations": [{"key": "Style","value": "Black"}, {"key": "Personalization","value": "3 Lines of Personalization"}] }我需要做的是查询’va...