英文:
change an imbricated list to a flat list in django, python
问题
我想在输出中获得我的类别列表的扁平列表，但这段代码没有做到。它仍然显示嵌套列表中的类别。有人可以帮助我吗？
这是代码：
@api_view(['GET'])def AllCategoriesList(request):categories = Categories.objects.filter(parent=None).prefetch_related(Prefetch('children', queryset=Categories.objects.all(), to_attr='subcategories'))def flatten_list(lst):flat_lst = []for item in lst:if isinstance(item, list):flat_lst.extend(flatten_list(item))else:flat_lst.append(item)return flat_lstcategory_list = []for category in categories:category_list.append(category)category_list.extend(category.children.all())flattened_list = flatten_list(category_list)serializer = CategorieSerializer(flattened_list, many=True)return Response(serializer.data)
我尝试修改我的代码来使用flatten_list函数，但它不起作用。
这是输出：
{ "id": 1,"image_couverture": null,"children": [{ "id": 2,"image_couverture": null,"children": [],"nom_categorie": "nouveau categorie","descriptions": "categorie fille","slug": "nouveau-categorie","created_at": "2023-03-04T08:08:35.667959Z","updated_at": null,"parent": 1}],"nom_categorie": "Test categorie","descriptions": "test categorie","slug": "test-categorie","created_at": "2023-03-04T06:43:42.628255Z","updated_at": null,"parent": null},{"id": 2,"image_couverture": null,"children": [],"nom_categorie": "nouveau categorie","descriptions": "categorie fille","slug": "nouveau-categorie","created_at": "2023-03-04T08:08:35.667959Z","updated_at": null,"parent": 1},{"id": 3,"image_couverture": null,"children": [{"id": 4,"image_couverture": null,"children": [],"nom_categorie": "Boissons","descriptions": "Test description","slug": "boissons","created_at": "2023-03-06T10:13:39.229660Z","updated_at": null,"parent": 3}],"nom_categorie": "Alimentation & vins","descriptions": "Test Description","slug": "alimentation-vins","created_at": "2023-03-06T10:06:24.492310Z","updated_at": null,"parent": null},{"id": 4,"image_couverture": null,"children": [],"nom_categorie": "Boissons","descriptions": "Test description","slug": "boissons","created_at": "2023-03-06T10:13:39.229660Z","updated_at": null,"parent": 3},{"id": 5,"image_couverture": null,"children": [{"id": 13,"image_couverture": null,"children": [],"nom_categorie": "spa","descriptions": "hotel bla","slug": "spa","created_at": "2023-03-07T16:54:15.145494Z","updated_at": null,"parent": 5}],"nom_categorie": "VOYAGES et LOCATIONS","descriptions": "Test","slug": "voyages-et-locations","created_at": "2023-03-06T10:58:44.996614Z","updated_at": null,"parent": null},{"id": 13,"image_couverture": null,"children": [],"nom_categorie": "spa","descriptions": "hotel bla","slug": "spa","created_at": "2023-03-07T16:54:15.145494Z","updated_at": null,"parent": 5},{"id": 6,"image_couverture": null,"children": [{"id": 12,"image_couverture": null,"children": [],"nom_categorie": "Ballon","descriptions": "gfjfm jtukj gfdf","slug": "ballon","created_at": "2023-03-06T18:28:25.832572Z","updated_at": null,"parent": 6}],"nom_categorie": "SPORTS et FITNESS","descriptions": "Test","slug": "sports-et-fitness","created_at": "2023-03-06T10:59:26.929241Z","updated_at": null,"parent": null},{"id": 12,"image_couverture": null,"children": [],"nom_categorie": "Ballon","descriptions": "gfjfm jtukj gfdf","slug": "ballon","created_at": "2023-03-06T18:28:25.832572Z","updated_at": null,"parent": 6},{"id": 7,"image_couverture": null,"children": [{"id": 8,"image_couverture": null,"children": [],"nom_categorie": "Chaussures femme","descriptions": "Test","slug": "chaussures-femme","created_at": "2023-03-06T11:15:08.421713Z","updated_at": null,"parent": 7}],"nom_categorie": "MODE FEMME","descriptions": "Test","slug": "mode-femme","created_at": "2023-03-06T11:13:09.847437Z","updated_at": null,"parent": null},{"id": 8,"image_couverture": null,<details><summary>英文:</summary>I want a flat list for my categories list in output, but this code doesn't do that. It still shows the categories in imbricated list. Can someone help me?This is the code:```python@api_view(['GET'])def AllCategoriesList(request):categories = Categories.objects.filter(parent=None).prefetch_related(Prefetch('children', queryset=Categories.objects.all(), to_attr='subcategories'))def flatten_list(lst):flat_lst = []for item in lst:if isinstance(item, list):flat_lst.extend(flatten_list(item))else:flat_lst.append(item)return flat_lstcategory_list = []for category in categories:category_list.append(category)category_list.extend(category.children.all())flattened_list = flatten_list(category_list)serializer = CategorieSerializer(flattened_list, many=True)return Response(serializer.data)
I tried to change my code to use the flatten_list function, but it doesn't work.
This is the output:
{ "id": 1,"image_couverture": null,"children": [{ "id": 2,"image_couverture": null,"children": [],"nom_categorie": "nouveau categorie","descriptions": "categorie fille","slug": "nouveau-categorie","created_at": "2023-03-04T08:08:35.667959Z","updated_at": null,"parent": 1}],"nom_categorie": "Test categorie","descriptions": "test categorie","slug": "test-categorie","created_at": "2023-03-04T06:43:42.628255Z","updated_at": null,"parent": null},{"id": 2,"image_couverture": null,"children": [],"nom_categorie": "nouveau categorie","descriptions": "categorie fille","slug": "nouveau-categorie","created_at": "2023-03-04T08:08:35.667959Z","updated_at": null,"parent": 1},{"id": 3,"image_couverture": null,"children": [{"id": 4,"image_couverture": null,"children": [],"nom_categorie": "Boissons","descriptions": "Test description","slug": "boissons","created_at": "2023-03-06T10:13:39.229660Z","updated_at": null,"parent": 3}],"nom_categorie": "Alimentation & vins","descriptions": "Test Description","slug": "alimentation-vins","created_at": "2023-03-06T10:06:24.492310Z","updated_at": null,"parent": null},{"id": 4,"image_couverture": null,"children": [],"nom_categorie": "Boissons","descriptions": "Test description","slug": "boissons","created_at": "2023-03-06T10:13:39.229660Z","updated_at": null,"parent": 3},{"id": 5,"image_couverture": null,"children": [{"id": 13,"image_couverture": null,"children": [],"nom_categorie": "spa","descriptions": "hotel bla","slug": "spa","created_at": "2023-03-07T16:54:15.145494Z","updated_at": null,"parent": 5}],"nom_categorie": "VOYAGES et LOCATIONS","descriptions": "Test","slug": "voyages-et-locations","created_at": "2023-03-06T10:58:44.996614Z","updated_at": null,"parent": null},{"id": 13,"image_couverture": null,"children": [],"nom_categorie": "spa","descriptions": "hotel bla","slug": "spa","created_at": "2023-03-07T16:54:15.145494Z","updated_at": null,"parent": 5},{"id": 6,"image_couverture": null,"children": [{"id": 12,"image_couverture": null,"children": [],"nom_categorie": "Ballon","descriptions": "gfjfm jtukj gfdf","slug": "ballon","created_at": "2023-03-06T18:28:25.832572Z","updated_at": null,"parent": 6}],"nom_categorie": "SPORTS et FITNESS","descriptions": "Test","slug": "sports-et-fitness","created_at": "2023-03-06T10:59:26.929241Z","updated_at": null,"parent": null},{"id": 12,"image_couverture": null,"children": [],"nom_categorie": "Ballon","descriptions": "gfjfm jtukj gfdf","slug": "ballon","created_at": "2023-03-06T18:28:25.832572Z","updated_at": null,"parent": 6},{"id": 7,"image_couverture": null,"children": [{"id": 8,"image_couverture": null,"children": [],"nom_categorie": "Chaussures femme","descriptions": "Test","slug": "chaussures-femme","created_at": "2023-03-06T11:15:08.421713Z","updated_at": null,"parent": 7}],"nom_categorie": "MODE FEMME","descriptions": "Test","slug": "mode-femme","created_at": "2023-03-06T11:13:09.847437Z","updated_at": null,"parent": null},{"id": 8,"image_couverture": null,"children": [],"nom_categorie": "Chaussures femme","descriptions": "Test","slug": "chaussures-femme","created_at": "2023-03-06T11:15:08.421713Z","updated_at": null,"parent": 7},{"id": 9,"image_couverture": null,"children": [{"id": 10,"image_couverture": null,"children": [],"nom_categorie": "tafita-1","descriptions": "hgjjgj","slug": "tafita1","created_at": "2023-03-06T18:15:23.355740Z","updated_at": null,"parent": 9}],"nom_categorie": "tafita","descriptions": "nljbk","slug": "tafita","created_at": "2023-03-06T18:14:58.259709Z","updated_at": null,"parent": null},{"id": 10,"image_couverture": null,"children": [],"nom_categorie": "tafita-1","descriptions": "hgjjgj","slug": "tafita1","created_at": "2023-03-06T18:15:23.355740Z","updated_at": null,"parent": 9},{"id": 11,"image_couverture": null,"children": [],"nom_categorie": "Tech","descriptions": "gd hgjkjg th","slug": "tech","created_at": "2023-03-06T18:25:00.949297Z","updated_at": null,"parent": null},{"id": 14,"image_couverture": null,"children": [],"nom_categorie": "Hotel34","descriptions": "DJGJ JGKJ","slug": "hotel34","created_at": "2023-03-07T16:57:03.666177Z","updated_at": null,"parent": null}]
答案1
得分: 0
以下是翻译的代码部分：
def flatten_list(data):flat_lst = []if isinstance(data, list):for item in data:flat_lst.append(item)flat_lst.extend(flatten_list(item))return flat_lstif isinstance(data, dict):## ----------------------## 使用项目的副本，以便我们不直接## 迭代字典## ----------------------for key, value in list(data.items()):flat_lst.extend(flatten_list(value))### ----------------------### 你不想要 "children": []### ----------------------if isinstance(value, list):del data[key]### ----------------------## ----------------------return flat_lstdata = json.loads(data_raw)data = flatten_list(data)## ---------------## 仅唯一的项目（按id）## ---------------data = list({item["id"]: item for item in data}.values())## ---------------print(json.dumps(data, indent=4))
希望这对您有所帮助。
英文:
If you seek to flatted/promote all nested dictionaries, you might look at something like this:
Given input data as:
data_raw = """[{"id": 1,"image_couverture": null,"children": [{"id": 2,"image_couverture": null,"children": [],"nom_categorie": "nouveau categorie","descriptions": "categorie fille","slug": "nouveau-categorie","created_at": "2023-03-04T08:08:35.667959Z","updated_at": null,"parent": 1}],"nom_categorie": "Test categorie","descriptions": "test categorie","slug": "test-categorie","created_at": "2023-03-04T06:43:42.628255Z","updated_at": null,"parent": null},{"id": 2,"image_couverture": null,"children": [],"nom_categorie": "nouveau categorie","descriptions": "categorie fille","slug": "nouveau-categorie","created_at": "2023-03-04T08:08:35.667959Z","updated_at": null,"parent": 1},{"id": 3,"image_couverture": null,"children": [{"id": 4,"image_couverture": null,"children": [],"nom_categorie": "Boissons","descriptions": "Test description","slug": "boissons","created_at": "2023-03-06T10:13:39.229660Z","updated_at": null,"parent": 3}],"nom_categorie": "Alimentation & vins","descriptions": "Test Description","slug": "alimentation-vins","created_at": "2023-03-06T10:06:24.492310Z","updated_at": null,"parent": null},{"id": 4,"image_couverture": null,"children": [],"nom_categorie": "Boissons","descriptions": "Test description","slug": "boissons","created_at": "2023-03-06T10:13:39.229660Z","updated_at": null,"parent": 3},{"id": 5,"image_couverture": null,"children": [{"id": 13,"image_couverture": null,"children": [],"nom_categorie": "spa","descriptions": "hotel bla","slug": "spa","created_at": "2023-03-07T16:54:15.145494Z","updated_at": null,"parent": 5}],"nom_categorie": "VOYAGES et LOCATIONS","descriptions": "Test","slug": "voyages-et-locations","created_at": "2023-03-06T10:58:44.996614Z","updated_at": null,"parent": null},{"id": 13,"image_couverture": null,"children": [],"nom_categorie": "spa","descriptions": "hotel bla","slug": "spa","created_at": "2023-03-07T16:54:15.145494Z","updated_at": null,"parent": 5},{"id": 6,"image_couverture": null,"children": [{"id": 12,"image_couverture": null,"children": [],"nom_categorie": "Ballon","descriptions": "gfjfm jtukj gfdf","slug": "ballon","created_at": "2023-03-06T18:28:25.832572Z","updated_at": null,"parent": 6}],"nom_categorie": "SPORTS et FITNESS","descriptions": "Test","slug": "sports-et-fitness","created_at": "2023-03-06T10:59:26.929241Z","updated_at": null,"parent": null},{"id": 12,"image_couverture": null,"children": [],"nom_categorie": "Ballon","descriptions": "gfjfm jtukj gfdf","slug": "ballon","created_at": "2023-03-06T18:28:25.832572Z","updated_at": null,"parent": 6},{"id": 7,"image_couverture": null,"children": [{"id": 8,"image_couverture": null,"children": [],"nom_categorie": "Chaussures femme","descriptions": "Test","slug": "chaussures-femme","created_at": "2023-03-06T11:15:08.421713Z","updated_at": null,"parent": 7}],"nom_categorie": "MODE FEMME","descriptions": "Test","slug": "mode-femme","created_at": "2023-03-06T11:13:09.847437Z","updated_at": null,"parent": null},{"id": 8,"image_couverture": null,"children": [],"nom_categorie": "Chaussures femme","descriptions": "Test","slug": "chaussures-femme","created_at": "2023-03-06T11:15:08.421713Z","updated_at": null,"parent": 7},{"id": 9,"image_couverture": null,"children": [{"id": 10,"image_couverture": null,"children": [],"nom_categorie": "tafita-1","descriptions": "hgjjgj","slug": "tafita1","created_at": "2023-03-06T18:15:23.355740Z","updated_at": null,"parent": 9}],"nom_categorie": "tafita","descriptions": "nljbk","slug": "tafita","created_at": "2023-03-06T18:14:58.259709Z","updated_at": null,"parent": null},{"id": 10,"image_couverture": null,"children": [],"nom_categorie": "tafita-1","descriptions": "hgjjgj","slug": "tafita1","created_at": "2023-03-06T18:15:23.355740Z","updated_at": null,"parent": 9},{"id": 11,"image_couverture": null,"children": [],"nom_categorie": "Tech","descriptions": "gd hgjkjg th","slug": "tech","created_at": "2023-03-06T18:25:00.949297Z","updated_at": null,"parent": null},{"id": 14,"image_couverture": null,"children": [],"nom_categorie": "Hotel34","descriptions": "DJGJ JGKJ","slug": "hotel34","created_at": "2023-03-07T16:57:03.666177Z","updated_at": null,"parent": null}]"""
Then you can:
def flatten_list(data):flat_lst = []if isinstance(data, list):for item in data:flat_lst.append(item)flat_lst.extend(flatten_list(item))return flat_lstif isinstance(data, dict):## ----------------------## Use a copy of the items so we are not directly## iterating over the dictionary## ----------------------for key, value in list(data.items()):flat_lst.extend(flatten_list(value))### ----------------------### you don't want children": []### ----------------------if isinstance(value, list):del data[key]### ----------------------## ----------------------return flat_lstdata = json.loads(data_raw)data = flatten_list(data)## ---------------## just the unique items (by id)## ---------------data = list({item["id"]: item for item in data}.values())## ---------------print(json.dumps(data, indent=4))
That should give you:
[{"id": 1,"image_couverture": null,"nom_categorie": "Test categorie","descriptions": "test categorie","slug": "test-categorie","created_at": "2023-03-04T06:43:42.628255Z","updated_at": null,"parent": null},{"id": 2,"image_couverture": null,"nom_categorie": "nouveau categorie","descriptions": "categorie fille","slug": "nouveau-categorie","created_at": "2023-03-04T08:08:35.667959Z","updated_at": null,"parent": 1},{"id": 3,"image_couverture": null,"nom_categorie": "Alimentation & vins","descriptions": "Test Description","slug": "alimentation-vins","created_at": "2023-03-06T10:06:24.492310Z","updated_at": null,"parent": null},{"id": 4,"image_couverture": null,"nom_categorie": "Boissons","descriptions": "Test description","slug": "boissons","created_at": "2023-03-06T10:13:39.229660Z","updated_at": null,"parent": 3},{"id": 5,"image_couverture": null,"nom_categorie": "VOYAGES et LOCATIONS","descriptions": "Test","slug": "voyages-et-locations","created_at": "2023-03-06T10:58:44.996614Z","updated_at": null,"parent": null},{"id": 13,"image_couverture": null,"nom_categorie": "spa","descriptions": "hotel bla","slug": "spa","created_at": "2023-03-07T16:54:15.145494Z","updated_at": null,"parent": 5},{"id": 6,"image_couverture": null,"nom_categorie": "SPORTS et FITNESS","descriptions": "Test","slug": "sports-et-fitness","created_at": "2023-03-06T10:59:26.929241Z","updated_at": null,"parent": null},{"id": 12,"image_couverture": null,"nom_categorie": "Ballon","descriptions": "gfjfm jtukj gfdf","slug": "ballon","created_at": "2023-03-06T18:28:25.832572Z","updated_at": null,"parent": 6},{"id": 7,"image_couverture": null,"nom_categorie": "MODE FEMME","descriptions": "Test","slug": "mode-femme","created_at": "2023-03-06T11:13:09.847437Z","updated_at": null,"parent": null},{"id": 8,"image_couverture": null,"nom_categorie": "Chaussures femme","descriptions": "Test","slug": "chaussures-femme","created_at": "2023-03-06T11:15:08.421713Z","updated_at": null,"parent": 7},{"id": 9,"image_couverture": null,"nom_categorie": "tafita","descriptions": "nljbk","slug": "tafita","created_at": "2023-03-06T18:14:58.259709Z","updated_at": null,"parent": null},{"id": 10,"image_couverture": null,"nom_categorie": "tafita-1","descriptions": "hgjjgj","slug": "tafita1","created_at": "2023-03-06T18:15:23.355740Z","updated_at": null,"parent": 9},{"id": 11,"image_couverture": null,"nom_categorie": "Tech","descriptions": "gd hgjkjg th","slug": "tech","created_at": "2023-03-06T18:25:00.949297Z","updated_at": null,"parent": null},{"id": 14,"image_couverture": null,"nom_categorie": "Hotel34","descriptions": "DJGJ JGKJ","slug": "hotel34","created_at": "2023-03-07T16:57:03.666177Z","updated_at": null,"parent": null}]
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