[英]PYTHON - group a list of dict
有沒有一種簡單的方法在 Python3 中按鍵對 dict 列表進行分組我有一個復雜的輸入列表,我想格式化
我的輸入 object 是這樣的:
my_input = [
{
'name': 'nameA',
'departments': [
{
'name': 'dep1',
'details': [
{
'name': 'name_detA',
'tech_name': 'techNameA',
'others': None,
'sub_details': []
},
{
'name': 'name_detB',
'tech_name': 'techNameB',
'others': 22,
'sub_details': [
{
'id': 'idB',
'column2': 'ZZ',
'column3': 'CCC',
'column4': {
'id': 'id2',
'subColumn1': 'HHH',
'subColumn1': 'PPPP',
'subColumn1': 'FFFFFF'
}
}
]
},
{
'name': 'name_detB',
'tech_name': 'techNameB',
'others': 22,
'sub_details': [
{
'id': 'idA',
'column2': 'AA',
'column3': 'BBB',
'column4': {
'id': 'id1',
'subColumn1': 'XXXX',
'subColumn1': 'YYYYY',
'subColumn1': 'DDDDDD'
}
}
]
}
]
}
]
}
]
我的目標是將具有相同details['techName']
元素分組為一個元素並合並它們的sub_details
預期 output:
my_output = [
{
"name": "nameA",
"departments": [
{
"name": "dep1",
"details": [
{
"name": "name_detA",
"tech_name": "techNameA",
"others": None,
"sub_details": []
},
{
"name": "name_detB",
"tech_name": "techNameB",
"others": 22,
"sub_details": [
{
"id": "idB",
"column2": "ZZ",
"column3": "CCC",
"column4": {
"id": "id2",
"subColumn1": "HHH",
"subColumn1": "PPPP",
"subColumn1": "FFFFFF"
}
},
{
"id": "idA",
"column2": "AA",
"column3": "BBB",
"column4": {
"id": "id1",
"subColumn1": "XXXX",
"subColumn1": "YYYYY",
"subColumn1": "DDDDDD"
}
}
]
}
]
}
]
}
]
我試過了:
result_list = []
sub = []
for elem in my_input:
for data in elem["departments"]:
for sub_detail, dicts_for_that_sub in itertools.groupby(data["details"], key=operator.itemgetter("sub_details")):
sub.append({"sub_details": sub_detail})
print(sub)
但我正在努力創建新的 output
假設我在這里使用的輸入是您真正想要的,那么您就在正確的軌道上。 我將最里面的 for 循環重新實現為對方法的調用,但這並不是嚴格需要的。
我可能會對使用setdefault()
而不是if
/ else
的merge_details()
方法采取稍微不同的方法,但如果您以前沒有使用過setdefault()
,這種方法更容易遵循。
import json
只是為了打印“不錯”的東西,並且不需要作為解決方案的一部分。
import json
my_input = [
{
"name": "nameA",
"departments": [
{
"name": "dep1",
"details": [
{
"name": "name_detB",
"tech_name": "techNameB",
"others": 22,
"sub_details": [
{
"id": "idB",
"column2": "ZZ",
"column3": "CCC",
"column4": {
"id": "id2",
"subColumn1": "HHH",
"subColumn2": "PPPP",
"subColumn3": "FFFFFF"
}
}
]
},
{
"name": "name_detA",
"tech_name": "techNameA",
"others": None,
"sub_details": []
},
{
"name": "name_detB",
"tech_name": "techNameB",
"others": 22,
"sub_details": [
{
"id": "idA",
"column2": "AA",
"column3": "BBB",
"column4": {
"id": "id1",
"subColumn1": "XXXX",
"subColumn2": "YYYYY",
"subColumn3": "DDDDDD"
}
}
]
}
]
}
]
}
]
def merge_details(details):
## --------------------
## dict to hold details by key (tech_name)
keyed_details = {}
## --------------------
## --------------------
## for each each "detail" if we find it in the key_detail merge the
## sub_details lists otherwise add it as the value of the key
## --------------------
for detail in details:
key = detail["tech_name"]
if keyed_details.get(key):
keyed_details[key]["sub_details"].extend(detail["sub_details"])
else:
keyed_details[key] = detail
## --------------------
return list(keyed_details.values())
for elem in my_input:
for department in elem["departments"]:
department["details"] = merge_details(department["details"])
print(json.dumps(my_input, indent=4, sort_keys=True))
聲明:本站的技術帖子網頁,遵循CC BY-SA 4.0協議,如果您需要轉載,請注明本站網址或者原文地址。任何問題請咨詢:yoyou2525@163.com.