python - 我的 csv 文件中的文本被读取为原始字符串。它包含“it\'s”而不是它。我该如何清洁这个？

Question

句子：

'I understood that that morning did not work out for her but I would still like to to make an appointment with her. I mean if she does great lashes and it\'s just this one little hiccup in the beginning it\'s well worth it as far as I\'m concerned.'

如何删除转义字符以清理数据？

Answer 1

我想，一个简单的re.sub可能工作：

测试

import re

string = '''
I understood that that morning did not work out for her but I would still like to to make an appointment with her. I mean if she does great lashes and it\'s just this one little hiccup in the beginning it\'s well worth it as far as I\'m concerned.
'''

expression = r'\\'

print(re.sub(expression, '', string))

输出

我知道那天早上对她不利，但我仍然想和她预约。我的意思是，如果她的睫毛做得很好，而且一开始只是这个小问题，就我而言，这是非常值得的。

Answer 2

正确答案在@bryan-oakley 的评论中：没有什么可做的。

作为测试：

s = 'I understood that that morning did not work out for her but I would still like to to make an appointment with her. I mean if she does great lashes and it\'s just this one little hiccup in the beginning it\'s well worth it as far as I\'m concerned.'

assert len(s) == len(s.replace('\'', "'")) # passes
assert s == s.replace('\'', "'") # passes