如果匹配字符串，熊猫删除行（不区分大小写）

Question

如果我的数据框中包含列表中的某些内容，我将尝试删除该行。

DF

Search_List = ['drunk', 'owner']
df = df[~df['Searches'].str.contains('|'.join(Search_List))]

Searches
the person was Drunk
the owner was not available
This is a test
The Owner was not in

当前结果：

Searches
the person was Drunk
This is a test
The Owner was not in

预期结果：

Searches
This is a test

有没有办法进行搜索但允许它匹配，即使它是大写等？我无法将其转换为较低的值，然后进行搜索，因为它破坏了我在脚本中的其他功能。有没有简单的解决方案？

Answer 1

将 case=False 参数添加到 Series.str.contains：

Search_List = ['drunk', 'owner']
df = df[~df['Searches'].str.contains('|'.join(Search_List), case=False)]
print (df)
         Searches
2  This is a test

Answer 2

您可以在检查之前将字符串转换为 lowercase。

df = df[~df['Searches'].str.lower().str.contains('|'.join(Search_List))]