使用Pandas將suds對象轉換為數據框

Question

我有一個看起來像這樣的列表：

`[(deliveryObject){
   id = "0bf003ee0000000000000000000002a11cb6"
   start = 2019-01-02 09:30:00
   messageId = "68027b94b892396ed29581cde9ad07ff"
   status = "sent"
   type = "normal"
   }, (deliveryObject){
   id = "0bf0BE3ABFFDF8744952893782139E82793B"
   start = 2018-12-29 23:00:00
   messageId = "0bc403eb0000000000000000000000113404"
   status = "sent"
   type = "transactional"
 }, (deliveryObject){
   id = "0bf0702D03CB42D848CBB0B0AF023A87FA65"
   start = 2018-12-29 23:00:00
   messageId = "0bc403eb0000000000000000000000113403"
   status = "sent"
   type = "transactional"
   }
]`

當我調用type() Python告訴我這是一個列表。

當我使用pd.DataFrame(df)將其轉換為數據pd.DataFrame(df) ，結果如下所示：

有人能幫我一下嗎？ 該數據框應該具有列名，例如“ Id”，“ Start”，“ messageId”等，但它們只是作為每個觀察值的第一個元素出現，而列名則顯示為0、1、2等。

任何幫助表示贊賞，謝謝！

Answer 1

好的，這看起來不漂亮，但可以。 我將您的列表轉換為字符串：

import re
import pandas as pd

x = """[(deliveryObject){
   id = "0bf003ee0000000000000000000002a11cb6"
   start = 2019-01-02 09:30:00
   messageId = "68027b94b892396ed29581cde9ad07ff"
   status = "sent"
   type = "normal"
   }, (deliveryObject){
   id = "0bf0BE3ABFFDF8744952893782139E82793B"
   start = 2018-12-29 23:00:00
   messageId = "0bc403eb0000000000000000000000113404"
   status = "sent"
   type = "transactional"
 }, (deliveryObject){
   id = "0bf0702D03CB42D848CBB0B0AF023A87FA65"
   start = 2018-12-29 23:00:00
   messageId = "0bc403eb0000000000000000000000113403"
   status = "sent"
   type = "transactional"
   }
]"""

然后，我使用正則表達式以某種方式列出字典：

a = re.sub(' =', ':', x)
a = re.sub('\(deliveryObject\)', '', a)

for x in ['id', 'start', 'messageId', 'status', 'type']:
    a = re.sub(x, '\''+x+'\'', a)

a = re.sub("(?<=[\"0])\n(?= +?[\'])", '\n,', a)
a = re.sub('(?<=[0])\n(?=,)', '\"\n', a)
a = re.sub('(?<=[:]) (?=[0-9])', ' \"', a)
a = re.sub('(?<= )\"(?=[\w])', '[\"', a)
a = re.sub('(?<=[\w])\"(?=\n)', '\"]', a)

現在，您有了字典列表。 第一排看起來像這樣

list_of_dict = eval(a)
df = pd.DataFrame(list_of_dict[0])
print(df.head())

                                     id                start                         messageId status    type
0  0bf003ee0000000000000000000002a11cb6  2019-01-02 09:30:00  68027b94b892396ed29581cde9ad07ff   sent  normal

從list_of_dict添加其余的字典。

請隨意改善我的正則表達式，我知道它看起來很糟糕。

Answer 2

如果這是針對bronto的，並且正在使用SOAP和suds實現。 然后，deliveryObject只是一個suds對象。

你可以做

from suds.client import Client

list_of_deliveryObjects = [(deliveryObject){
   id = "0bf003ee0000000000000000000002a11cb6"
   start = 2019-01-02 09:30:00
   messageId = "68027b94b892396ed29581cde9ad07ff"
   status = "sent"
   type = "normal"
   }, (deliveryObject){
   id = "0bf0BE3ABFFDF8744952893782139E82793B"
   start = 2018-12-29 23:00:00
   messageId = "0bc403eb0000000000000000000000113404"
   status = "sent"
   type = "transactional"
 }, (deliveryObject){
   id = "0bf0702D03CB42D848CBB0B0AF023A87FA65"
   start = 2018-12-29 23:00:00
   messageId = "0bc403eb0000000000000000000000113403"
   status = "sent"
   type = "transactional"
   }
]


data = [Client.dict(suds_object) for suds_object in list_of_deliveryObjects]
df = pd.DataFrame(data)

Answer 3

我這樣做：

import pandas as pd
lst =[{
   'id':"0bf003ee0000000000000000000002a11cb6",
   'start' : "2019-01-02 09:30:00",
   'messageId': "68027b94b892396ed29581cde9ad07ff",
   'status' : "sent",
   'type' : "normal"
   },{
   'id' :  "0bf0BE3ABFFDF8744952893782139E82793B",
   'start' :  "2018-12-29 23:00:00",
   'messageId' :  "0bc403eb0000000000000000000000113404",
   'status' :  "sent",
   'type' :  "transactional"
 }, {
   'id' :  "0bf0702D03CB42D848CBB0B0AF023A87FA65",
   'start' :  "2018-12-29 23:00:00",
   'messageId' :  "0bc403eb0000000000000000000000113403",
   'status' :  "sent",
   'type' :  "transactional"
   }]
df = pd.DataFrame(lst)
df

並得到了這個（也參見附件圖片）：

    id  messageId   start   status  type
0   0bf003ee0000000000000000000002a11cb6    68027b94b892396ed29581cde9ad07ff    2019-01-02 09:30:00 sent    normal
1   0bf0BE3ABFFDF8744952893782139E82793B    0bc403eb0000000000000000000000113404    2018-12-29 23:00:00 sent    transactional
2   0bf0702D03CB42D848CBB0B0AF023A87FA65    0bc403eb0000000000000000000000113403    2018-12-29 23:00:00 sent    transactional

結果