我有一个字符串列表，我想使用正则表达式将列表过滤到某些字符串。
实施例。这是原始列表：
quoteTitle = ['\r\n ', ' ', '\r\n ', '\r\n ', '\r\n ', '\r\n ', '\r\n ', '30. Loyalty', '29. Speed Scale', '28. Security', '27. Every Position', '26. Superior Brain Power', '25. A Long Line of Fighters', '24. Dwight Surveillance', '23. Friends ', '22. Pull the Plug ', '21. Second Life', '20. Accidentally vs. On Purpose', '19. Menstruation Wishes ', '18. Ideal Choice', '17. Healthcare in the Wild', '16. Superior Cousins', '15. Regular Ideas', '14. Immunity Logic', '13. The Person You Least, Medium and Most Suspect', '12. Real Heroes ', '11. Water Cooler Gossip', '10. Stress', '9. All These People!', '8. The “R” Sound', '7. A Woman’s Defects ', '6.Werewolf Hunting Experience ', '5. An Ideal World ', '4. Attention', '3. The Thing About Bear Attacks ', '2. Resume Critiquing', '1. Yeast Infections ', 'Tags', 'Recently in TV', '5/8/2018 3:45:00 PM', '5/3/2018 2:00:00 PM', '5/3/2018 12:00:00 PM', 'Most Popular', '5/3/2018 11:00:00 AM', '5/3/2018 12:00:00 PM', '5/8/2018 3:45:00 PM', '4/13/2018 5:00:00 PM', '4/18/2018 8:22:31 PM', '5/3/2018 2:00:00 PM', '5/8/2018 6:02:54 PM', '5/7/2018 4:52:04 PM', '5/7/2018 2:57:00 PM', '5/3/2018 5:04:43 PM', '5/3/2018 1:06:18 PM', 'Music', '5/3/2018 12:00:00 AM', 'Music', '5/3/2018 12:00:00 AM', 'Music', '5/2/2018 12:00:00 AM', '11/28/2017 8:00:00 AM', '11/30/2017 11:00:00 AM', '5/3/2018 11:00:00 AM', '5/3/2018 2:00:00 PM', '5/3/2018 12:00:00 PM', '12/11/2017 1:00:00 PM', '12/15/2017 8:00:00 AM', '1/9/2018 3:00:00 PM', '1/4/2017 12:30:00 PM', '4/13/2013 12:13:00 PM', 'TV', '4/3/2018 10:00:00 AM', 'TV', '4/3/2018 9:25:00 AM', 'Comedy', '3/22/2018 1:00:28 PM', 'TV', '3/15/2018 10:00:00 AM', 'Comedy', '3/13/2018 2:00:00 PM', 'TV', '3/10/2018 10:00:00 AM', 'TV', '3/2/2018 11:00:00 AM', 'TV', '2/25/2018 10:30:00 PM', 'TV', '2/23/2018 1:00:00 PM', '5/3/2018 11:00:00 AM', '5/3/2018 12:00:00 PM', '5/8/2018 3:45:00 PM', '4/13/2018 5:00:00 PM', '4/18/2018 8:22:31 PM', '5/3/2018 2:00:00 PM', '5/3/2018 10:00:00 AM', '5/7/2018 10:00:00 AM', '4/26/2018 2:00:00 PM', '5/6/2018 10:00:00 PM', '5/8/2018 6:02:54 PM', '5/7/2018 4:52:04 PM', '5/7/2018 2:57:00 PM', '5/3/2018 5:04:43 PM', '5/3/2018 1:06:18 PM', '5/3/2018 12:00:00 AM', '5/3/2018 12:00:00 AM', '5/2/2018 12:00:00 AM', '5/2/2018 12:00:00 AM', '5/2/2018 12:00:00 AM', '11/28/2017 8:00:00 AM', '11/30/2017 11:00:00 AM', '5/3/2018 11:00:00 AM', '5/3/2018 2:00:00 PM', '5/3/2018 12:00:00 PM', '12/11/2017 1:00:00 PM', '12/15/2017 8:00:00 AM', '1/9/2018 3:00:00 PM', '1/4/2017 12:30:00 PM', '4/13/2013 12:13:00 PM', '4/3/2018 10:00:00 AM', '4/3/2018 9:25:00 AM', '3/22/2018 1:00:28 PM', '3/15/2018 10:00:00 AM', '3/13/2018 2:00:00 PM']
我只想要编号的项目及其文本从30到1.我可以使用
成功过滤掉任何不以数字开头的内容p = re.compile(r'\w')
q = filter(p.match, quoteTitle)
p = re.compile(r'^\d+')
q = filter(p.match, q)
这让我
print(list(q)) --> ['30. Loyalty', '29. Speed Scale', '28. Security', '27. Every Position', '26. Superior Brain Power', '25. A Long Line of Fighters', '24. Dwight Surveillance', '23. Friends ', '22. Pull the Plug ', '21. Second Life', '20. Accidentally vs. On Purpose', '19. Menstruation Wishes ', '18. Ideal Choice', '17. Healthcare in the Wild', '16. Superior Cousins', '15. Regular Ideas', '14. Immunity Logic', '13. The Person You Least, Medium and Most Suspect', '12. Real Heroes ', '11. Water Cooler Gossip', '10. Stress', '9. All These People!', '8. The “R” Sound', '7. A Woman’s Defects ', '6.Werewolf Hunting Experience ', '5. An Ideal World ', '4. Attention', '3. The Thing About Bear Attacks ', '2. Resume Critiquing', '1. Yeast Infections ', 'Tags', 'Recently in TV', '5/8/2018 3:45:00 PM', '5/3/2018 2:00:00 PM', '5/3/2018 12:00:00 PM', 'Most Popular', '5/3/2018 11:00:00 AM', '5/3/2018 12:00:00 PM', '5/8/2018 3:45:00 PM', '4/13/2018 5:00:00 PM', '4/18/2018 8:22:31 PM', '5/3/2018 2:00:00 PM', '5/8/2018 6:02:54 PM', '5/7/2018 4:52:04 PM', '5/7/2018 2:57:00 PM', '5/3/2018 5:04:43 PM', '5/3/2018 1:06:18 PM', 'Music', '5/3/2018 12:00:00 AM', 'Music', '5/3/2018 12:00:00 AM', 'Music', '5/2/2018 12:00:00 AM', '11/28/2017 8:00:00 AM', '11/30/2017 11:00:00 AM', '5/3/2018 11:00:00 AM', '5/3/2018 2:00:00 PM', '5/3/2018 12:00:00 PM', '12/11/2017 1:00:00 PM', '12/15/2017 8:00:00 AM', '1/9/2018 3:00:00 PM', '1/4/2017 12:30:00 PM', '4/13/2013 12:13:00 PM', 'TV', '4/3/2018 10:00:00 AM', 'TV', '4/3/2018 9:25:00 AM', 'Comedy', '3/22/2018 1:00:28 PM', 'TV', '3/15/2018 10:00:00 AM', 'Comedy', '3/13/2018 2:00:00 PM', 'TV', '3/10/2018 10:00:00 AM', 'TV', '3/2/2018 11:00:00 AM', 'TV', '2/25/2018 10:30:00 PM', 'TV', '2/23/2018 1:00:00 PM', '5/3/2018 11:00:00 AM', '5/3/2018 12:00:00 PM', '5/8/2018 3:45:00 PM', '4/13/2018 5:00:00 PM', '4/18/2018 8:22:31 PM', '5/3/2018 2:00:00 PM', '5/3/2018 10:00:00 AM', '5/7/2018 10:00:00 AM', '4/26/2018 2:00:00 PM', '5/6/2018 10:00:00 PM', '5/8/2018 6:02:54 PM', '5/7/2018 4:52:04 PM', '5/7/2018 2:57:00 PM', '5/3/2018 5:04:43 PM', '5/3/2018 1:06:18 PM', '5/3/2018 12:00:00 AM', '5/3/2018 12:00:00 AM', '5/2/2018 12:00:00 AM', '5/2/2018 12:00:00 AM', '5/2/2018 12:00:00 AM', '11/28/2017 8:00:00 AM', '11/30/2017 11:00:00 AM', '5/3/2018 11:00:00 AM', '5/3/2018 2:00:00 PM', '5/3/2018 12:00:00 PM', '12/11/2017 1:00:00 PM', '12/15/2017 8:00:00 AM', '1/9/2018 3:00:00 PM', '1/4/2017 12:30:00 PM', '4/13/2013 12:13:00 PM', '4/3/2018 10:00:00 AM', '4/3/2018 9:25:00 AM', '3/22/2018 1:00:28 PM', '3/15/2018 10:00:00 AM', '3/13/2018 2:00:00 PM']
现在我要删除列表中的日期
我已经尝试了很多这方面的组合，但我认为我缺少某些东西或者没有理解。我的想法是获取列表中不遵循日期条目格式的所有字符串。
p = re.compile(r'[^'\d+/]')
q = filter(p.match, q)
他们以撇号开头，因为它是一串引号，我认为这可能是我的问题。除此之外，格式如下：
撇号，数字（在1-12之间，所以\ d +），/
这应该足以过滤掉日期条目，只要我让它正常工作
更新：甚至尝试过这个来搜索列表中包含AM或PM但仍然没有运气的元素
p = re.compile(r'[^(AM|PM)]')
q = filter(p.search, q)
答案 0 :(得分：1)
您可以搜索以数字和.开头的字符串：
import re
quoteTitle = ['\r\n ', ' ', '\r\n ', '\r\n ', '\r\n ', '\r\n ', '\r\n ', '30. Loyalty', '29. Speed Scale', '28. Security', '27. Every Position', '26. Superior Brain Power', '25. A Long Line of Fighters', '24. Dwight Surveillance', '23. Friends ', '22. Pull the Plug ', '21. Second Life', '20. Accidentally vs. On Purpose', '19. Menstruation Wishes ', '18. Ideal Choice', '17. Healthcare in the Wild', '16. Superior Cousins', '15. Regular Ideas', '14. Immunity Logic', '13. The Person You Least, Medium and Most Suspect', '12. Real Heroes ', '11. Water Cooler Gossip', '10. Stress', '9. All These People!', '8. The “R” Sound', '7. A Woman’s Defects ', '6.Werewolf Hunting Experience ', '5. An Ideal World ', '4. Attention', '3. The Thing About Bear Attacks ', '2. Resume Critiquing', '1. Yeast Infections ', 'Tags', 'Recently in TV', '5/8/2018 3:45:00 PM', '5/3/2018 2:00:00 PM', '5/3/2018 12:00:00 PM', 'Most Popular', '5/3/2018 11:00:00 AM', '5/3/2018 12:00:00 PM', '5/8/2018 3:45:00 PM', '4/13/2018 5:00:00 PM', '4/18/2018 8:22:31 PM', '5/3/2018 2:00:00 PM', '5/8/2018 6:02:54 PM', '5/7/2018 4:52:04 PM', '5/7/2018 2:57:00 PM', '5/3/2018 5:04:43 PM', '5/3/2018 1:06:18 PM', 'Music', '5/3/2018 12:00:00 AM', 'Music', '5/3/2018 12:00:00 AM', 'Music', '5/2/2018 12:00:00 AM', '11/28/2017 8:00:00 AM', '11/30/2017 11:00:00 AM', '5/3/2018 11:00:00 AM', '5/3/2018 2:00:00 PM', '5/3/2018 12:00:00 PM', '12/11/2017 1:00:00 PM', '12/15/2017 8:00:00 AM', '1/9/2018 3:00:00 PM', '1/4/2017 12:30:00 PM', '4/13/2013 12:13:00 PM', 'TV', '4/3/2018 10:00:00 AM', 'TV', '4/3/2018 9:25:00 AM', 'Comedy', '3/22/2018 1:00:28 PM', 'TV', '3/15/2018 10:00:00 AM', 'Comedy', '3/13/2018 2:00:00 PM', 'TV', '3/10/2018 10:00:00 AM', 'TV', '3/2/2018 11:00:00 AM', 'TV', '2/25/2018 10:30:00 PM', 'TV', '2/23/2018 1:00:00 PM', '5/3/2018 11:00:00 AM', '5/3/2018 12:00:00 PM', '5/8/2018 3:45:00 PM', '4/13/2018 5:00:00 PM', '4/18/2018 8:22:31 PM', '5/3/2018 2:00:00 PM', '5/3/2018 10:00:00 AM', '5/7/2018 10:00:00 AM', '4/26/2018 2:00:00 PM', '5/6/2018 10:00:00 PM', '5/8/2018 6:02:54 PM', '5/7/2018 4:52:04 PM', '5/7/2018 2:57:00 PM', '5/3/2018 5:04:43 PM', '5/3/2018 1:06:18 PM', '5/3/2018 12:00:00 AM', '5/3/2018 12:00:00 AM', '5/2/2018 12:00:00 AM', '5/2/2018 12:00:00 AM', '5/2/2018 12:00:00 AM', '11/28/2017 8:00:00 AM', '11/30/2017 11:00:00 AM', '5/3/2018 11:00:00 AM', '5/3/2018 2:00:00 PM', '5/3/2018 12:00:00 PM', '12/11/2017 1:00:00 PM', '12/15/2017 8:00:00 AM', '1/9/2018 3:00:00 PM', '1/4/2017 12:30:00 PM', '4/13/2013 12:13:00 PM', '4/3/2018 10:00:00 AM', '4/3/2018 9:25:00 AM', '3/22/2018 1:00:28 PM', '3/15/2018 10:00:00 AM', '3/13/2018 2:00:00 PM']
new_result = list(filter(lambda x:re.findall('^\d+\.', x), quoteTitle))
输出：
['30. Loyalty', '29. Speed Scale', '28. Security', '27. Every Position', '26. Superior Brain Power', '25. A Long Line of Fighters', '24. Dwight Surveillance', '23. Friends ', '22. Pull the Plug ', '21. Second Life', '20. Accidentally vs. On Purpose', '19. Menstruation Wishes ', '18. Ideal Choice', '17. Healthcare in the Wild', '16. Superior Cousins', '15. Regular Ideas', '14. Immunity Logic', '13. The Person You Least, Medium and Most Suspect', '12. Real Heroes ', '11. Water Cooler Gossip', '10. Stress', '9. All These People!', '8. The \xe2\x80\x9cR\xe2\x80\x9d Sound', '7. A Woman\xe2\x80\x99s Defects ', '6.Werewolf Hunting Experience ', '5. An Ideal World ', '4. Attention', '3. The Thing About Bear Attacks ', '2. Resume Critiquing', '1. Yeast Infections ']
编辑：要查找引号之间的所有数据，您可以使用.*?：
quote = ['i dont want this', '\r\n ', '\r\n ', ' "this is the quote i want to extract" ', '" and also this one"', '\r\n "and me"']
new_results = list(map(lambda x:x[0], filter(None, [re.findall('"(.*?)"', i) for i in quote])))
输出：
['this is the quote i want to extract', ' and also this one', 'and me']