使用 python 将 CSV 转换为 JSON，仅选择列，并为每个单元格创建新条目，该单元格具有来自单个 CSV 单元格的多个值？

Question

我对 python 很陌生，我正在尝试从 csv 文件获取以下 JSON 输出，并且 csv 文件如下所示

date      customer Ex employer    emailID        CIN     CIN2            BatcheSource
9-Jul-24   ABC1    EmployerAnme1  [email protected]  123456  9087690,345678  payment
9-Oct-24   BCD1    EMP2           [email protected]  234566                  adasd

我正在寻找的 JSON 输出是

[
   {
      "Cin":"123456",
      "Date":"9-Jul-24",
      "Ex Employer":"Employer Name 1",
      "Batche Source":"Payment"
   },
   {
      "Cin":"9087690",
      "Date":"9-Jul-24",
      "Ex Employer":"Employer Name 1" 
      "Batche Source":"Payment"
},
   {
      "Cin":"345678",
      "Date":"9-Jul-24",
      "Ex Employer":"Employer Name 1", 
      "Batche Source":"Payment"
   },
   {
      "Cin":"234566",
      "Date":"9-Oct-24",
      "Ex Employer":"EMP2",
      "Batche Source":"adasd"
   }

]

到目前为止我尝试过的代码是这个，但我不确定如何获取逗号分隔的单元格多个值的新条目：

import csv
import json

with open('test.csv') as infile:
    reader = csv.DictReader(infile)
    out = [{"CIN": row['CIN'],"Date": row["Date"], "Ex Employer": row["Ex Employer"],"CIN2": row["CIN2"],"Batche Source": row["Batche Source"]} for row in reader]

with open('test1.json', 'w') as outfile:
    json.dump(out, outfile) 

Answer 1

使用熊猫

import pandas as pd
import json

result = pd.read_csv('my.csv')

csv_as_dict = result.to_dict(orient='records')
csv_as_json = json.dump(csv_as_dict)