世上多的是这号人：放下前头的好景致不看，干脆转过身来，一肚子气，总认为过去的都好，如此耽误时光，空耗了力气靠回忆过日子，苦瓜当饭，黄连煮汤，以为是天下第一味道。几十年过去了，年轻时代那些漂亮的女孩子都已成为漂亮的外婆和祖母。我希望大家都不要难过，人生就是按照诗的安排过下来的。我的经验是，碰到任何困难都要赶快往前走，不要欣赏让你摔倒的那个坑。黄永玉，《别欣赏让你摔倒的那个坑》
Regex
import re bat = re.compile(r'Bat(wo)?man') # ()? 是否存在，0 or 1 # ()* 可以存在多次，0 or more # ()+ 至少出现一次 1 or more # (){2,5} 精确出现几次到几次 # (){2,} 至少两次 # (\d){3,5} 五个数字 rat = re.compile(r'Dinner\?\*\+') # 搜索 "Dinner?"All matches
phone = re.compile(r'\d\d\d-\d\d\d-\d\d\d\d') text = '''Long texts with lots of numbers''' phone.findall(text) # 这里会返回一个列表Multiple groups
phone = re.compile(r'(\d\d\d)-(\d\d\d\-\d\d\d\d)') # - 号把两组识别隔开 # return [('508','555-5555'),('508','555-1234')] phone = re.compile(r'((\d\d\d)-(\d\d\d\-\d\d\d\d))') # 外加的一个括号变成了三组识别 # return ['508-555-555',508','555-5555'),('508-555-1234',508','555-1234')]Character class
# \d Any numeric digit from 0 to 9 # \D Any character that is not a numeric digit from 0 to 9 # \w Any letter, numeric digit, or the underscore character. # \W Any character that is not a letter, numeric digit, or the underscore character. # \s Any space, tab, or newline character. # \S Any character that is not a space, tab, or newline. lyrics = '12 drummers drumming, 11 pipers piping, 10 lords a leaping, 9 ladies dancing.' xmas = re.compile(r'\d+\s\w+') xmas.findall(lyrics) # return '12 drummers' '11 pipers' '10 lords' '9 ladies' vowel = re.compile(r'[aeiouAEIOU]') # character one by one. vowel.findall('robocop eats baby food.') # return ['o','o','o','e','a','a','o','o'] doubleVowel = re.compile(r'[aeiouAEIOU]{2}') doubleVowel.findall('Robocop eats baby food') # return ['ea','oo'] consonantsRegex = re.compile(r'[^aeiouAEIOU]') consonantsRegex.findall('robocop eats baby food.') # return ['R','b','c','p',' ','t','s',' ','b','b','y',' ','f','d','.'] # ^ 旨在匹配字符串里没有的字符Dot-Star and the Caret Characters
beginsWithHelloRegex = re.compile(r'^Hello') # 开头 endsWithWorldRegex = re.compile(r'world!$') # 结尾 allDigitsRegex = re.compile(r'^\d+$') # 头和尾都要是数字 atRegex = re.compile(r'.at') atRegex.findall('The cat in the hat sat on the flat mat.') atRegex = re.compile(r'.{1,2}at') # 一或者两个字母在 at 前面 nameRegex = re.compile(r'First Name: ( *) Last Name: (.*)') nameRegex.findall('First Name: AI Last Name: Sweigart') # [('AI','Sweigart')] nongreedy = re.compile(r'<(.*?)>') # <> 里的一切 greedy = re.compile(r'.*',re.DOTALL) # .(匹配一切) 无法出现换行后的内容，后面加 RE.DOTALL 即可 # second argument 加入 re.I 让系统不再对大小写敏感Sub() and Verbose method
# sub 函数用于批量替换 names = re.compile(r'Agent \w+') names.sub("Shabi","Agent give Alice a box.") #Shabi give Shabi a box.# re.VERBOSE 复杂的语法有时候非常长，加上这个可以换行写，还能加备注 re.compile(r''' (\d\d\d-)| #area code - \d\d\d # first dash - \d\d\d\d #last 4 digits''',re.VERBOSE) # Use multiple options (,re.VERBOSE | re.DOTALL | re.I)Copy from a pdf
# 从 PDF 批量复制邮件和电话号码 import re,pyperclip # Phone numbers phone = re.compile(r''' ( ((\d\d\d)|(\(\d\d\d\)))? # area code (\s|-) # first separator \d\d\d - # separator \d\d\d\d # last 4 digits (((ext(\.)?\s)|x) # extension word-part (optional) (\d{2,5}))? # extension number-part ) ''',re.VERBOSE) # Email email = re.compile(r''' [a-zA-Z0-9_.+]+ # name part @ # @ symbol [a-zA-Z0-9_.+]+# domain name part ''',re.VERBOSE) # Get the text off the clipboard text = pyperclip.paste() # todo: Extract the email/phone from this list extractedPhone = phone.findall(text) extractedEmail = email.findall(text) allPhoneNumbers = [] for phoneNumber in extractedPhone: allPhoneNumbers.append(phoneNumber[0]) results = '\n'.join(allPhoneNumbers) + '\n' + '\n'.join(extractedEmail) pyperclip.copy(results)Helper