我正在嘗試使用Pandas將json檔案轉為特定格式。我想在某些列上旋轉它

所以我嘗試在網上搜索以找到一種可以轉換以下json的方法。

{
"eTask_ID": "100",
"Organization": "Power",
"BidID": "2.00",
"Project": "IPP - C",
"Forecast%": "67",
"Sponsor": "Jon R",
"IsActive": "1",
"InternalOrder": "null",
"Forecast": "null",
"BidStatus": "null",
"ProjectNotes": "null",
"EstimateTypeCode": "null",
"Start": "null",
"SponsoringDistrict": "null",
"LocationState": "null",
"Finish": "null",
"AreaManager": "null",
"CTG Vendor": "null"
}

到下面的那個。

{
"eTask_ID": "100",
"Organization": "Power",
"BidID": "2.00",
"Project": "IPP - C",
"Attribute":"Forecast%",
"AttrValue":"67",
},
{
"eTask_ID": "100",
"Organization": "Power",
"BidID": "2.00",
"Project": "IPP - C",
"Attribute":"Sponsor",
"AttrValue":"Jon R",
},
{
"eTask_ID": "100",
"Organization": "Power",
"BidID": "2.00",
"Project": "IPP - C",
"Attribute":"IsActive",
"AttrValue":"1",
},
...

現在在這里，如果您看到除前四個屬性之外的所有屬性都被轉換為 Attribute 和 AttributeValue 并獲得它們自己的記錄。

我曾嘗試在網路上搜索解決方案，但我仍在努力尋找解決方案。

如果有人可以，請幫助。

先感謝您。

uj5u.com熱心網友回復：

使用pd.melt：

import json

with open('data.json') as json_data:
    data = json.load(json_data)
    
    out = pd.DataFrame.from_dict(data, orient='index').T \
            .melt(['eTask_ID', 'Organization', 'BidID', 'Project'], 
                  var_name='Attribute', value_name='AttrValue') \
            .to_json(orient='records', indent=4)

輸出：

>>> print(out)
[
    {
        "eTask_ID":100,
        "Organization":"Power",
        "BidID":2,
        "Project":"IPP - C",
        "Attribute":"Forecast%",
        "AttrValue":67
    },
    {
        "eTask_ID":100,
        "Organization":"Power",
        "BidID":2,
        "Project":"IPP - C",
        "Attribute":"Sponsor",
        "AttrValue":"Jon R"
    },
    {
        "eTask_ID":100,
        "Organization":"Power",
        "BidID":2,
        "Project":"IPP - C",
        "Attribute":"IsActive",
        "AttrValue":1
    },
    {
        "eTask_ID":100,
        "Organization":"Power",
        "BidID":2,
        "Project":"IPP - C",
        "Attribute":"InternalOrder",
        "AttrValue":"null"
    },
    {
        "eTask_ID":100,
        "Organization":"Power",
        "BidID":2,
        "Project":"IPP - C",
        "Attribute":"Forecast",
        "AttrValue":"null"
    },
    {
        "eTask_ID":100,
        "Organization":"Power",
        "BidID":2,
        "Project":"IPP - C",
        "Attribute":"BidStatus",
        "AttrValue":"null"
    },
    {
        "eTask_ID":100,
        "Organization":"Power",
        "BidID":2,
        "Project":"IPP - C",
        "Attribute":"ProjectNotes",
        "AttrValue":"null"
    },
    {
        "eTask_ID":100,
        "Organization":"Power",
        "BidID":2,
        "Project":"IPP - C",
        "Attribute":"EstimateTypeCode",
        "AttrValue":"null"
    },
    {
        "eTask_ID":100,
        "Organization":"Power",
        "BidID":2,
        "Project":"IPP - C",
        "Attribute":"Start",
        "AttrValue":"null"
    },
    {
        "eTask_ID":100,
        "Organization":"Power",
        "BidID":2,
        "Project":"IPP - C",
        "Attribute":"SponsoringDistrict",
        "AttrValue":"null"
    },
    {
        "eTask_ID":100,
        "Organization":"Power",
        "BidID":2,
        "Project":"IPP - C",
        "Attribute":"LocationState",
        "AttrValue":"null"
    },
    {
        "eTask_ID":100,
        "Organization":"Power",
        "BidID":2,
        "Project":"IPP - C",
        "Attribute":"Finish",
        "AttrValue":"null"
    },
    {
        "eTask_ID":100,
        "Organization":"Power",
        "BidID":2,
        "Project":"IPP - C",
        "Attribute":"AreaManager",
        "AttrValue":"null"
    },
    {
        "eTask_ID":100,
        "Organization":"Power",
        "BidID":2,
        "Project":"IPP - C",
        "Attribute":"CTG Vendor",
        "AttrValue":"null"
    }
]

uj5u.com熱心網友回復：

只有標準庫：

import json
from typing import Dict

json_data = """
{
"eTask_ID": "100",
"Organization": "Power",
"BidID": "2.00",
"Project": "IPP - C",
"Forecast%": "67",
"Sponsor": "Jon R",
"IsActive": "1",
"InternalOrder": "null",
"Forecast": "null",
"BidStatus": "null",
"ProjectNotes": "null",
"EstimateTypeCode": "null",
"Start": "null",
"SponsoringDistrict": "null",
"LocationState": "null",
"Finish": "null",
"AreaManager": "null",
"CTG Vendor": "null"
}
"""

parsed_json: Dict[str, str] = json.loads(json_data)

repeat_keys = ["eTask_ID", "Organization", "BidID", "Project"]

result = []
for key, value in parsed_json.items():
    if key in repeat_keys:
        continue
    attr_dict = {rep_key: parsed_json[rep_key] for rep_key in repeat_keys}
    attr_dict.update({"Attribute": key})
    attr_dict.update({"AttrValue": value})
    result.append(attr_dict)

result_json = json.dumps(result)

print(result_json)

標籤：Python json 熊猫 数据框

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