Python 筛选系列中的特定单词（带变体）

我有一个大型数据框，其中一列中有一个单词的几个单词变体。我想根据我要查找的特定单词筛选行。下面是一个示例数据帧。在这里，我想过滤在“Resolution”列中有单词“create”的行，而不是它的子字符串，如“re-create”或“recreate”

注意：我只想在

str.contains

In [4]: df = pd.DataFrame({"Resolution":["create profile", "recreate profile", "re-create profile", "created profile",
   ...: "re-created profile", "closed outlook and recreated profile", "purged outlook processes and created new profile
   ...: "], "Product":["Outlook", "Outlook", "Outlook", "Outlook", "Outlook", "Outlook", "Outlook"]})

In [5]: df
Out[5]:
                                         Resolution  Product
0                                    create profile  Outlook
1                                  recreate profile  Outlook
2                                 re-create profile  Outlook
3                                   created profile  Outlook
4                                re-created profile  Outlook
5              closed outlook and recreated profile  Outlook
6  purged outlook processes and created new profile  Outlook

我的尝试：

我已经能够过滤“重新创建”和“重新创建”（过去时无关紧要）：

问题：如何修改正则表达式，使其仅获取带有“create”的行，而不获取子字符串？大概是这样的：

                                      Resolution  Product
0                                    create profile  Outlook
3                                   created profile  Outlook
6  purged outlook processes and created new profile  Outlook

---

为反转条件添加

~

：

df = df[~df.Resolution.str.contains("(?=.*recreate|re-create)(?=.*profile)")]
print (df)
                                          Resolution  Product
0                                     create profile  Outlook
3                                    created profile  Outlook
6  purged outlook processes and created new profile   Outlook

你说的“保持个人资料”是什么意思？问题中的正则表达式将只删除同时具有“重新创建/重新创建”和“配置文件”的行。如果您说您想通过重新创建/重新创建删除行，但仅当它们不包含概要文件时，那么您需要更改正则表达式

df = df[~df.Resolution.str.contains("(?=.*recreate|re-create)(?=.*profile)")]
print (df)
                                          Resolution  Product
0                                     create profile  Outlook
3                                    created profile  Outlook
6  purged outlook processes and created new profile   Outlook