使用Pandas的多个DataFrame的JSON

时间:2018-05-17 12:45:21

标签: python pandas

我有以下JSON数据:

{
  "categories": [
    {
      "category_id": "11decadd",
      "name": "Com",
      "category_type": "Type",
      "position": 5,
      "vela_defined": True,
      "created_at": "2017-02-15 01:49:23 -0700",
      "updated_at": "2017-02-15 01:49:23 -0700"
    },
    {
      "category_id": "c7010763",
      "name": "none",
      "category_type": "EquipmentStatus",
      "position": 1,
      "vela_defined": True,
      "created_at": "2017-02-15 01:49:23 -0700",
      "updated_at": "2018-03-01 04:20:38 -0700"
    }
  ],
  "customizable_categories": [
    {
      "customizable_category_id": "435ae18b",
      "name": "NA",
      "category_id": "11decadd",
      "position": 1,
      "created_at": "2017-02-15 01:49:23 -0700",
      "updated_at": "2017-02-15 01:49:23 -0700"
    },
    {
      "customizable_category_id": "51e607d8",
      "name": "Third Party",
      "category_id": "fafab667",
      "position": 2,
      "created_at": "2017-02-15 01:49:23 -0700",
      "updated_at": "2017-02-15 01:49:23 -0700"
    }
  ],
  "equipment_category_status_sets": [

  ]
}

我尝试将其转换为3x Pandas数据帧(由JSON顶级条目命名)

但似乎无法让它加载。有什么建议吗?

1 个答案:

答案 0 :(得分:2)

我认为DataFrame的{​​{1}}构造函数需要字典理解:

dictionary of DataFrame