我有两个结构如下的数据框:
print(product_combos1.head(n=5))
product_id count Length
0 (P06, P09) 36340 2
1 (P01, P05, P06, P09) 10085 4
2 (P01, P06) 36337 2
3 (P01, P09) 49897 2
4 (P02, P09) 11573 2
print(testing_df.head(n=5))
product_id Length
transaction_id
001 [P01] 1
002 [P01, P02] 2
003 [P01, P02, P09] 3
004 [P01, P03] 2
005 [P01, P03, P05] 3
如何强制
testing_df
的“ product_id”列与product_combos1
df中的列具有相同的格式? (即,用括号代替括号) 最佳答案
python元组显示在括号中。列表显示在括号中。
更改数据框
testing_df['product_id'] = testing_df['product_id'].apply(tuple)
testing_df
product_id Length
transaction_id
1 (P01,) 1
2 (P01, P02) 2
3 (P01, P02, P09) 3
4 (P01, P03) 2
5 (P01, P03, P05) 3
制作副本
testing_df.assign(product_id=testing_df.product_id.apply(tuple))
product_id Length
transaction_id
1 (P01,) 1
2 (P01, P02) 2
3 (P01, P02, P09) 3
4 (P01, P03) 2
5 (P01, P03, P05) 3
当然,除非是真正的字符串。然后只需将括号替换为括号即可。
testing_df.assign(product_id=testing_df.product_id.str.replace('\[(.*)\]', r'(\1)'))
product_id Length
transaction_id
1 (P01) 1
2 (P01, P02) 2
3 (P01, P02, P09) 3
4 (P01, P03) 2
5 (P01, P03, P05) 3
关于python - 将两个不同数据框的列强制为相同的数据类型,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/45516833/