這是我的資料框
product_title variation_list
Chauvet DJ GigBar Move Effect Light System ['Black', 'White']
Rane Twelve MKII DJ Controller ['New', 'Blemished']
我預期的資料框將如下所示
group_id product_title variation_list unique_id
FAT-1301 Chauvet DJ GigBar Move Effect Light System Black FAT-01
FAT-1301 Chauvet DJ GigBar Move Effect Light System White FAT-02
FAT-1302 Rane Twelve MKII DJ Controller New FAT-03
FAT-1302 Rane Twelve MKII DJ Controller Blemished FAT-04
基本上我想添加額外的兩列group_id，它們將為同一組資料指定全域 ID，而unique_id列將為每個資料指定唯一值。
uj5u.com熱心網友回復：
df2 = df.reset_index().explode('variation_list')
df2['group_id'] = 'FAT' df2['index'].add(1).astype(str)
df2['unique_id'] = 'FAT' (df2.reset_index(drop = True).index 1).astype(str)
df2
index product_title ... group_id unique_id
0 0 Chauvet DJ GigBar Move Effect Light System ... FAT1 FAT1
0 0 Chauvet DJ GigBar Move Effect Light System ... FAT1 FAT2
1 1 Chauvet DJ GigBar Move Effect Light System ... FAT2 FAT3
1 1 Chauvet DJ GigBar Move Effect Light System ... FAT2 FAT4
uj5u.com熱心網友回復：
使用explode-
import pandas as pd
d = {'product_title':['Chauvet DJ GigBar Move Effect Light System',' Chauvet DJ GigBar Move Effect Light System'],
'variation_list' :[['Black', 'White'], ['New', 'Blemished']]}
df = pd.DataFrame(d)
df.insert(0, "group_id", df.index 1)
df = df.explode(['variation_list']).reset_index()
df.insert(4, "unique_id", df.index 1)
df.drop(columns=['index'], inplace=True)
df.group_id = df.group_id.apply(lambda x: 'FAT-' str(x) )
df.unique_id = df.unique_id.apply(lambda x: 'FAT-' str(x) )
print(df)
輸出 -
group_id product_title variation_list unique_id
0 FAT-1 Chauvet DJ GigBar Move Effect Light System Black FAT-1
1 FAT-1 Chauvet DJ GigBar Move Effect Light System White FAT-2
2 FAT-2 Chauvet DJ GigBar Move Effect Light System New FAT-3
3 FAT-2 Chauvet DJ GigBar Move Effect Light System Blemished FAT-4
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標籤：Python python-3.x 熊猫
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