Python 在pandas中提取列表中的列表

我有一个API响应，它返回一个SUDS对象，然后使用以下命令将其转换为dict：

dict（活动）

我的问题是，我似乎无法理解如何将此列表转换为可用的数据帧。如果我尝试这样做：

for_merge_ids = dict(campaigns)
test = pd.DataFrame.from_dict(for_merge_ids)

格言如下：

(campaign){
     campaignID = 77705
     campaignName = "FLI - Tablet"
     campaignBid = 
        (bidInformation){
           biddingStrategy = "Cpc"
           cpcBid = 
              (CPCBid){
                 cpc = 0
              }
           cpaBid = None
        }
     budgetID = 0
     remainingDays = 5
     status = "RUNNING"
     categoryBids = 
        (ArrayOfCategoryBid){
           categoryBid[] = 
              (categoryBid){
                 campaignCategoryUID = 0
                 campaignID = 77705
                 categoryID = 0
                 selected = True
                 bidInformation = 
                    (bidInformation){
                       biddingStrategy = "Cpc"
                       cpcBid = 
                          (CPCBid){
                             cpc = 0
                          }
                       cpaBid = None
                    }
              },
              (categoryBid){
                 campaignCategoryUID = 0
                 campaignID = 77705
                 categoryID = 0
                 selected = True
                 bidInformation = 
                    (bidInformation){
                       biddingStrategy = "Cpc"
                       cpcBid = 
                          (CPCBid){
                             cpc = 0.12
                          }
                       cpaBid = None
                    }
              },
              (categoryBid){
                 campaignCategoryUID = 2289648
                 campaignID = 77705
                 categoryID = 1676592472
                 selected = True
                 bidInformation = 
                    (bidInformation){
                       biddingStrategy = "Cpc"
                       cpcBid = 
                          (CPCBid){
                             cpc = 0
                          }
                       cpaBid = None
                    }
              },
              (categoryBid){
                 campaignCategoryUID = 0
                 campaignID = 77705
                 categoryID = 0
                 selected = True
                 bidInformation = 
                    (bidInformation){
                       biddingStrategy = "Cpc"
                       cpcBid = 
                          (CPCBid){
                             cpc = 0
                          }
                       cpaBid = None
                    }
              },
        }
   }]}

campaign
0  [(campaignID, 4584), (campaignName, Before Clo...
1  [(campaignID, 5304), (campaignName, Before Clo...
2  [(campaignID, 5305), (campaignName, Before Clo...
3  [(campaignID, 5598), (campaignName, After), (e...
4  [(campaignID, 5684), (campaignName, Before far...
5  [(campaignID, 5685), (campaignName, Before far...

（虽然我只需要活动（带有活动名称），但不需要其他活动（如预算、arrayofcategorybid等）

我还尝试指定了两种方向类型。我得到了一个数据帧，但每个“列表”都重复，列不被理解-如下所示：

(campaign){
     campaignID = 77705
     campaignName = "FLI - Tablet"
     campaignBid = 
        (bidInformation){
           biddingStrategy = "Cpc"
           cpcBid = 
              (CPCBid){
                 cpc = 0
              }
           cpaBid = None
        }
     budgetID = 0
     remainingDays = 5
     status = "RUNNING"
     categoryBids = 
        (ArrayOfCategoryBid){
           categoryBid[] = 
              (categoryBid){
                 campaignCategoryUID = 0
                 campaignID = 77705
                 categoryID = 0
                 selected = True
                 bidInformation = 
                    (bidInformation){
                       biddingStrategy = "Cpc"
                       cpcBid = 
                          (CPCBid){
                             cpc = 0
                          }
                       cpaBid = None
                    }
              },
              (categoryBid){
                 campaignCategoryUID = 0
                 campaignID = 77705
                 categoryID = 0
                 selected = True
                 bidInformation = 
                    (bidInformation){
                       biddingStrategy = "Cpc"
                       cpcBid = 
                          (CPCBid){
                             cpc = 0.12
                          }
                       cpaBid = None
                    }
              },
              (categoryBid){
                 campaignCategoryUID = 2289648
                 campaignID = 77705
                 categoryID = 1676592472
                 selected = True
                 bidInformation = 
                    (bidInformation){
                       biddingStrategy = "Cpc"
                       cpcBid = 
                          (CPCBid){
                             cpc = 0
                          }
                       cpaBid = None
                    }
              },
              (categoryBid){
                 campaignCategoryUID = 0
                 campaignID = 77705
                 categoryID = 0
                 selected = True
                 bidInformation = 
                    (bidInformation){
                       biddingStrategy = "Cpc"
                       cpcBid = 
                          (CPCBid){
                             cpc = 0
                          }
                       cpaBid = None
                    }
              },
        }
   }]}

campaign
0  [(campaignID, 4584), (campaignName, Before Clo...
1  [(campaignID, 5304), (campaignName, Before Clo...
2  [(campaignID, 5305), (campaignName, Before Clo...
3  [(campaignID, 5598), (campaignName, After), (e...
4  [(campaignID, 5684), (campaignName, Before far...
5  [(campaignID, 5685), (campaignName, Before far...

等等

你能告诉我如何获取每一行的标题并在df样式中使用吗

---

谢谢

这可能有点晚了，但试试这个，它会将sudsobject转换为dict：

import pandas as pd
import suds.sudsobject as sudsobject
campaigns = [sudsobject.asdict(x) for x in campaigns ]
df = pd.DataFrame(campaigns)

---

你能提供一个例子说明你的

dict（活动）

是什么样子的吗？当然，这是问题的补充。@JianxunLi