熊猫json_normalize()

Question

Python版本: 2.7

我正试图将MongoDB中的json数据标准化。为此，我使用json_normalize。但是，我无法在“阶段”元素中将数据扁平化。它属于收藏范围。当我连续地处理这个“阶段”时，它工作得很好。如何将阶段内的内容与其他数据一起扁平化？样本数据如下所示。

{
"_id" : ObjectId("5a8ffe8aaacee33cd21aabcb"),
"niyoCustomerCompanyId" : 210068,
"version" : 2,
"versionDate" : ISODate("2018-02-23T17:14:10.614+05:30"),
"data" : {
    "CustomerCompanyId" : 210068,
    "companyName" : "XYZ Tractors ",
    "mobileNo" : "***22****",
    "cif" : "25",
    "typeId" : 3,
    "PartnerCompanyId" : "163929",
    "companyDetails" : {
        "sectorType" : "30",
        "sectorSubType" : "2",
        "pincode" : "431602",
        "email" : "abcd@rediffmail.com",
        "stages" : [
            {
                "name" : "Prequalification",
                "status" : "done"
            },
            {
                "name" : "Prequalification1",
                "status" : "pending"
            }
        ],
        "currentStage" : "Pre-Qualification"
    }
  }
 }

我尝试过的代码如下所示。

cursor_only_data_stage = customer_collection.find({})
stage_data = list(cursor_only_data_stage)
stage_data_df_1 = pd.DataFrame(json_normalize(stage_data))

预期产出如下。

id                         cif  stage              status version versiondate
5a8ffe8aaacee33cd21aabcb    25  Prequalification    done    2   2018-02-23T17:14:10.614+05:30
5a8ffe8aaacee33cd21aabcb    25  Prequalification1   pending 2   2018-02-23T17:14:10.614+05:30

Answer 1

我能完成所需的

        all_stage_data_flat = pd.DataFrame(json_normalize(all_stage_data_list, [['data','companyDetails', 'stages']],
                                                      ['_id','version','versionDate',['data','cif']]))