如何使用 python 分隔 pandas 數據幀中的嵌套逗號分隔列值？

Question

我有 dataframe 如下所示

df（輸入數據）

ID Status     linkedShipments
12  Active   [{'SID': 'GBDXY551', 'Code': 'GBDXY55', 'Num': '2021121'}, {'SID': 'GBDXY551', 'Code': 'GBDXY55', 'Num': '20211215'}]
32  Expired  [{'SID': 'CHSGI422', 'Code': 'CHSGI421', 'Num': '4024421'}, {'SID': 'GBDXY551', 'Code': 'GBDXY55', 'Num': '20211222'}]
36  Expired  [{'SID': 'CHSGI428', 'Code': 'CHSGI907', 'Num': '4024568'}, {'SID': 'GBDXY556', 'Code': 'GBDXY55', 'Num': '20211333'}]

預計 Output

ID  SID         Code     Num      Status
12  GBDXY551    GBDXY55  2021121  Active
12  GBDXY551    GBDXY55  20211215 Active
32  CHSGI422    CHSGI421 4024421  Expired
32  GBDXY551    GBDXY55  20211222 Expired
36  CHSGI428    CHSGI907 4024568  Expired
36  GBDXY556    GBDXY55  20211333 Expired

**My Current Code**

這僅適用於一個鍵，我還想將狀態列添加到 output 數據幀如何做到這一點。

#load as dataframe
df = pd.DataFrame(data)

new_data = {} #define new data
#treverse all rows in current data
for index, row in df.iterrows():
    #json only accept double quotes, so convert singal quotes to double quotes
    shipment_dict_list = json.loads(row['linkedShipments'].replace("\'", "\"")) 
    for shipment_dict in shipment_dict_list:
        new_data.setdefault("ID",[]).append(row['ID'])
        for key in shipment_dict:
            new_data.setdefault(key,[]).append(shipment_dict[key])
print(pd.DataFrame(new_data))

Answer 1

這可以通過組合explode和apply(pd.Series)來實現：

df2 = df.explode('linkedShipments').reset_index(drop = True)
df2.join(df2['linkedShipments'].apply(pd.Series)).drop(columns = 'linkedShipments')

output：

    ID  Status  SID         Code        Num
0   12  Active  GBDXY551    GBDXY55     2021121
1   12  Active  GBDXY551    GBDXY55     20211215
2   32  Expired CHSGI422    CHSGI421    4024421
3   32  Expired GBDXY551    GBDXY55     20211222
4   36  Expired CHSGI428    CHSGI907    4024568
5   36  Expired GBDXY556    GBDXY55     20211333