[英]Compose nested JSON with multi columns in Python
我有一個csv文件,並嘗試從中撰寫JSON。 文件中有多條記錄,但我在這里僅給出一組示例記錄。此結構由claimID驅動。 在ClaimLineDetail和ClaimSpecDiag上有嵌套。我想我必須創建某種列表來處理此問題,然后問題是如何將其附加到所需的結構中。 我確實需要一些指導才能達到預期的效果。 我不確定只是假設,因為有多個列,所以可以細分不同的部分並在以后追加。
代碼:
import csv,json
data = []
with open('JsonRequestPricingMedical.csv','r') as f:
reader = csv.DictReader(f)
for row in reader:
print row
csv文件:
claimId,subscriberId,claimType,claimSubType,providerId,totalChargeAmt,claimLineNo,pos_code,procedureCode,subdiagnosisCode,svcLineFromDt,svcLineToDt,chargedAmt,clmLineUnits,presentOnAdmit,diagnosisCode
18A000730400,101924200,M,M,002664514003,585,1,11,92014,H43393,2017-06-19,2017-06-19,160,1,U,H43393
18A000730400,101924200,M,M,002664514003,585,2,12,92015,H43395,2017-06-19,2017-06-19,160,2,U,H43394
所需的JSON
[
{
"claimsHeader":" {
"claimId": "18A000730400",
"subscriberId": "101924200",
"claimType":{
"code": "M"
},
"claimSubType": {
"code": "M"
},
"providerId" :"002664514003",
"totalChargeAmt": "585",
"claimLineDetail" :[
{
"claimLineNo": "1",
"placeOfService": {
"code": "11"
},
"procedureCode": {
"code": "92014"
},
"subDiagnosisCd": {
"code": "H43393"
},
"svcLineFromDt": "2017-06-19",
"svcLineToDt": "2017-06-19",
"chargedAmt": "160",
"clmLineUnits": "1",
},
{
"claimLineNo": "2",
"placeOfService": {
"code": "12"
},
"procedureCode": {
"code": "92015"
},
"subDiagnosisCd": {
"code": "H433945
},
"svcLineFromDt": "2017-06-19",
"svcLineToDt": "2017-06-19",
"chargedAmt": "160",
"clmLineUnits": "2",
}
],
{
"claimSpecDiag": [
"presentOnAdmit": "",
"diagnosisCode": "H43393",
},
{
"presentOnAdmit": "",
"diagnosisCode": "H43394",
}
]
}
]
讀取csv時,每一行代表由特殊字符分隔的變量,在本例中為逗號:“,”。
您可以通過執行line_variables = row.split(',')
分離每個變量
只需通過第一行,對於其他所有代碼,請執行以下操作:
result = {
"claimsHeader":" {
"claimId": line_variables[0],
"subscriberId": line_variables[1],
"claimType":{
"code": line_variables[2]
}
...
最后,只需將結果添加到帶有your_list.append(result)
的列表(在for循環之前創建your_list.append(result)
。
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