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25
4
我有这个复杂的(对我来说)json对象，我想将其转换为dart模型，但我不断遇到一个错误或另一个错误。
它是这样的json对象的列表:
{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"properties": {
"name": "Congo",
"pop_est": 4012809,
"gdp_md_est": 15350,
"economy": "6. Developing region",
"income_grp": "4. Lower middle income",
"iso_a2": "CG",
"iso_a3": "COG",
"continent": "Africa",
"latitude": "-4.2634",
"longitude": "15.2832",
"confirmed": 143,
"deaths": 6,
"active": 126,
"recovered": 11
},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
12.995517205465177,
-4.781103203961884
],
[
12.620759718484491,
-4.438023369976136
],
[
12.318607618873926,
-4.606230157086188
],
[
11.91496300624209,
-5.037986748884791
],
[
11.093772820691925,
-3.978826592630547
],
[
11.855121697648114,
-3.426870619321051
],
[
11.478038771214303,
-2.765618991714241
],
[
11.820963575903193,
-2.514161472181982
],
[
12.495702752338161,
-2.391688327650243
],
[
12.575284458067642,
-1.948511244315135
],
[
13.109618767965628,
-2.428740329603514
],
[
13.99240726080771,
-2.4708049454891
],
[
14.299210239324564,
-1.998275648612214
],
[
14.425455763413593,
-1.333406670744971
],
[
14.316418491277743,
-0.552627455247048
],
[
13.843320753645655,
0.038757635901149
],
[
14.276265903386957,
1.196929836426619
],
[
14.026668735417218,
1.395677395021153
],
[
13.282631463278818,
1.31418366129688
],
[
13.003113641012078,
1.83089630778332
],
[
13.075822381246752,
2.267097072759015
],
[
14.33781253424658,
2.227874660649491
],
[
15.146341993885244,
1.964014797367184
],
[
15.940918816805064,
1.727672634280295
],
[
16.012852410555354,
2.267639675298085
],
[
16.537058139724135,
3.198254706226279
],
[
17.133042433346304,
3.728196519379452
],
[
17.809900343505262,
3.56019643799857
],
[
18.45306521980993,
3.504385891123349
],
[
18.39379235197114,
2.90044342692822
],
[
18.094275750407434,
2.365721543788055
],
[
17.898835483479587,
1.741831976728278
],
[
17.774191928791566,
0.855658677571085
],
[
17.826540154703252,
0.288923244626105
],
[
17.66355268725468,
-0.058083998213817
],
[
17.638644646889986,
-0.424831638189247
],
[
17.523716261472856,
-0.743830254726987
],
[
16.865306837642123,
-1.225816338713287
],
[
16.407091912510054,
-1.740927015798682
],
[
15.972803175529151,
-2.712392266453612
],
[
16.0062895036543,
-3.535132744972529
],
[
15.75354007331475,
-3.855164890156096
],
[
15.170991652088444,
-4.343507175314301
],
[
14.58260379401318,
-4.97023894615014
],
[
14.209034864975223,
-4.793092136253598
],
[
14.144956088933299,
-4.510008640158715
],
[
13.600234816144678,
-4.50013844159097
],
[
13.258240187237048,
-4.882957452009165
],
[
12.995517205465177,
-4.781103203961884
]
]
]
}
},
{
"type": "Feature",
"properties": {
"name": "Angola",
"pop_est": 12799293,
"gdp_md_est": 110300,
"economy": "7. Least developed region",
"income_grp": "3. Upper middle income",
"iso_a2": "AO",
"iso_a3": "AGO",
"continent": "Africa",
"latitude": "-11.2027",
"longitude": "17.8739",
"confirmed": 24,
"deaths": 2,
"active": 16,
"recovered": 6
},
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
16.326528354567046,
-5.877470391466218
],
[
16.57317996589614,
-6.622644545115094
],
[
16.86019087084523,
-7.222297865429979
],
[
17.08999596524717,
-7.545688978712476
],
[
17.472970004962292,
-8.068551120641656
],
[
18.13422163256905,
-7.987677504104866
],
[
18.464175652752687,
-7.847014255406477
],
[
19.01675174324967,
-7.98824594486014
],
[
19.166613396896082,
-7.738183688999725
],
[
19.417502475673217,
-7.155428562044278
],
[
20.037723016040218,
-7.11636117923166
],
[
20.09162153492062,
-6.943090101756951
],
[
20.601822950938327,
-6.939317722199689
],
[
20.51474816252653,
-7.299605808138665
],
[
21.728110792739756,
-7.290872491081316
],
[
21.746455926203367,
-7.920084730667114
],
[
21.94913089365204,
-8.305900974158305
],
[
21.801801385187957,
-8.908706556842986
],
[
21.875181919042404,
-9.523707777548566
],
[
22.208753289486424,
-9.89479623783653
],
[
22.155268182064333,
-11.084801120653779
],
[
22.402798292742432,
-10.99307545333569
],
[
22.83734541188477,
-11.017621758674338
],
[
23.456790805767465,
-10.867863457892483
],
[
23.912215203555746,
-10.926826267137542
],
[
24.017893507592614,
-11.237298272347118
],
[
23.90415368011824,
-11.722281589406336
],
[
24.079905226342902,
-12.191296888887308
],
[
23.930922072045377,
-12.565847670138822
],
[
24.016136508894704,
-12.911046237848552
],
[
21.933886346125945,
-12.898437188369357
],
[
21.887842644953878,
-16.080310153876894
],
[
22.56247846852429,
-16.898451429921835
],
[
23.215048455506093,
-17.523116143465952
],
[
21.377176141045595,
-17.93063648851971
],
[
18.95618696460363,
-17.789094740472237
],
[
18.26330936043422,
-17.309950860262006
],
[
14.209706658595051,
-17.353100681225712
],
[
14.058501417709039,
-17.423380629142656
],
[
13.462362094789967,
-16.97121184658874
],
[
12.814081251688407,
-16.941342868724078
],
[
12.215461460019384,
-17.111668389558062
],
[
11.734198846085148,
-17.3018893368245
],
[
11.64009606288161,
-16.67314218512921
],
[
11.778537224991567,
-15.79381601325069
],
[
12.123580763404448,
-14.878316338767931
],
[
12.175618930722266,
-14.449143568583892
],
[
12.500095249083017,
-13.547699883684402
],
[
12.738478631245442,
-13.137905775609935
],
[
13.312913852601838,
-12.483630466362513
],
[
13.633721144269828,
-12.038644707897191
],
[
13.738727654686926,
-11.297863050993143
],
[
13.686379428775297,
-10.731075941615842
],
[
13.38732791510216,
-10.373578383020728
],
[
13.120987583069875,
-9.766897067914115
],
[
12.875369500386569,
-9.166933689005488
],
[
12.929061313537801,
-8.959091078327575
],
[
13.236432732809874,
-8.562629489784342
],
[
12.933040398824316,
-7.596538588087753
],
[
12.72829837408392,
-6.927122084178805
],
[
12.227347039446443,
-6.294447523629372
],
[
12.322431674863566,
-6.100092461779653
],
[
12.735171339578699,
-5.965682061388478
],
[
13.02486941900699,
-5.984388929878108
],
[
13.375597364971895,
-5.864241224799557
],
[
16.326528354567046,
-5.877470391466218
]
]
],
[
[
[
12.436688266660923,
-5.684303887559224
],
[
12.18233686692028,
-5.789930515163803
],
[
11.914963006242116,
-5.037986748884734
],
[
12.318607618873926,
-4.606230157086158
],
[
12.62075971848455,
-4.438023369976121
],
[
12.995517205465205,
-4.781103203961919
],
[
12.631611769265845,
-4.991271254092936
],
[
12.468004184629763,
-5.248361504744992
],
[
12.436688266660923,
-5.684303887559224
]
]
]
]
}
}
] //Missing bracket
}
"properties": {
"name": "Angola",
"pop_est": 12799293,
"gdp_md_est": 110300,
"economy": "7. Least developed region",
"income_grp": "3. Upper middle income",
"iso_a2": "AO",
"iso_a3": "AGO",
"continent": "Africa",
"latitude": "-11.2027",
"longitude": "17.8739",
"confirmed": 24,
"deaths": 2,
"active": 16,
"recovered": 6
},
class AfricaData {
Properties properties;
AfricaData({this.properties});
AfricaData.fromJson(Map<String, dynamic> json) {
properties = json['properties'] != null
? new Properties.fromJson(json['properties'])
: null;
}
Map<String, dynamic> toJson() {
final Map<String, dynamic> data = new Map<String, dynamic>();
if (this.properties != null) {
data['properties'] = this.properties.toJson();
}
return data;
}
}
class Properties {
String name;
int popEst;
int gdpMdEst;
String economy;
String incomeGrp;
String isoA2;
String isoA3;
String continent;
String latitude;
String longitude;
int confirmed;
int deaths;
int active;
int recovered;
Properties(
{this.name,
this.popEst,
this.gdpMdEst,
this.economy,
this.incomeGrp,
this.isoA2,
this.isoA3,
this.continent,
this.latitude,
this.longitude,
this.confirmed,
this.deaths,
this.active,
this.recovered});
Properties.fromJson(Map<String, dynamic> json) {
name = json['name'];
popEst = json['pop_est'];
gdpMdEst = json['gdp_md_est'];
economy = json['economy'];
incomeGrp = json['income_grp'];
isoA2 = json['iso_a2'];
isoA3 = json['iso_a3'];
continent = json['continent'];
latitude = json['latitude'];
longitude = json['longitude'];
confirmed = json['confirmed'];
deaths = json['deaths'];
active = json['active'];
recovered = json['recovered'];
}
Map<String, dynamic> toJson() {
final Map<String, dynamic> data = new Map<String, dynamic>();
data['name'] = this.name;
data['pop_est'] = this.popEst;
data['gdp_md_est'] = this.gdpMdEst;
data['economy'] = this.economy;
data['income_grp'] = this.incomeGrp;
data['iso_a2'] = this.isoA2;
data['iso_a3'] = this.isoA3;
data['continent'] = this.continent;
data['latitude'] = this.latitude;
data['longitude'] = this.longitude;
data['confirmed'] = this.confirmed;
data['deaths'] = this.deaths;
data['active'] = this.active;
data['recovered'] = this.recovered;
return data;
}
}
var data = json.decode(response.body);
var dataModel = (data[1]['features'][0]['properties'] as List).map((f) => AfricaData.fromJson(f)).toList();
Map<String, dynamic> data = json.decode(response.body);
var dataModel = (data['type']['features']['type']['properties'] as List).map((f) => AfricaData.fromJson(f)).toList();
最佳答案
为了帮助您，您可以使用从json到Dart的转换器，例如
var obj = MyObject.fromJson(json.decode(str));
print(obj.features[0].properties.toJson().values.toList());
关于json - 如何将此Complex Json转换为Dart对象，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/61333716/
25
4
0
我有一个使用 c++ 的大型代码库标题和许多std::complex对象。但现在我还想使用其他几个使用 fftw 的库( spinsfast 和 ) .不幸的是，混合这两种类型的复合体似乎与 gc
我是 Maxima 的新手，在文档中找不到如何对复数进行正式计算。当我使用未指定的变量时，Maxima 似乎假设它们是真实的: 例如，共轭(x)返回 x。 有没有办法解决这个问题？ 提前致谢。 最佳答
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我是学习大O表示法的新手，并想到了这个问题。复杂度 O(a * b) 的名称是什么？是线性复杂度吗？多项式？或者是其他东西。实现代码如下。 function twoInputsMult(a, b) {
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