Question

我在pandas中有以下数据框，我希望将其转换为JSON变量。以下是我拥有的数据示例：

     DOCDATE   GLPOSTDT  CURTRXAM Customer_Code Reference Doc Type  Status                 Customer_Name    CRLMTAMT
0 2016-04-07 2016-04-07    525.88          ADHA   3859502      INV  Active  ADDO HARDWARE AND FURNISHERS   400000.00
1 2016-04-11 2016-04-11   9616.65          ADHA   3861622      INV  Active  ADDO HARDWARE AND FURNISHERS   400000.00
2 2016-04-28 2016-04-29  -5048.80          ADHA   0339942      PYM  Active  ADDO HARDWARE AND FURNISHERS   400000.00
3 2016-02-29 2016-02-29 -10462.36          CHMO  01728560      DED   Legal           CHECKIN SUPERMARKET 14500000.00
4 2016-04-20 2016-04-20  12727.87          CHMO   3871124      INV   Legal           CHECKIN SUPERMARKET 14500000.00
5 2016-04-20 2016-04-20   2640.92          CHMO   3871134      INV   Legal           CHECKIN SUPERMARKET 14500000.00

我正在寻找的输出如下：

Customer1 = {
  "Customer_code" : "ADHA",
  "Status" : "Active",
  "CRLMTAMT" : "400000",
  "Customer_Name" : "ADDO HARDWARE AND FURNISHERS",
  "Transactions" : {
    "INV" : {
      "3859502" : {
        "GLPOSTDT" : "2016-04-07",
        "CURTRXAM" : "525.88"
      },
      "3861622" : {
        "GLPOSTDT" : "2016-04-11",
        "CURTRXAM" : "9616.65"
      }
    },
    "PYM" : {
      "0339942" : {
        "GLPOSTDT" : "2016-04-29",
        "CURTRXAM" : "-5048.80"
      }
    }
  }
}

＆＃34;交易＆＃39; JSON变量的分支被分成不同的＆＃34; Doc Types＆＃34;。然后使用＆＃34;参考＆＃34;字段我会应用相应的＆＃34; GLPOSTDT＆＃34;和＃34; CURTRXAM＆＃34;。创建第一个客户后，我会将其写入数据库，然后循环到下一个客户（Customer_code =＆＃34; CHMO＆＃34;）但是我无法将每个Customer_code从pandas df转换/分组为JSON变量

Answer 1

import json
dict_of_dataframe = dataframe.to_dict(orient='dict')
with open('result.json', 'w') as fp:
    json.dump(dict_of_dataframe, fp)

将pandas数据框转换为JSON

1 个答案: