while not d[p_idx - 1][s_idx - 1] and s_idx < s_len + 1: s_idx += 1 # If (string) matches (pattern), # when (string) matches (pattern)* as well d[p_idx][s_idx - 1] = d[p_idx - 1][s_idx - 1] # If (string) matches (pattern), # when (string)(whatever_...
pattern = r'\d{3}-\d{3}-\d{4}' # 匹配电话号码的模式 matches = re.findall(pattern, text) if matches: print("找到的电话号码:", matches) else: print("未找到电话号码。") 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 这段代码将输出找到的电话号码。 2 正则表达式的高级用法 正则表...
matches = re.findall(pattern, string) if matches: print("Matches found:", matches) else: print("No matches found.") 使用re.sub()函数进行替换: 代码语言:txt 复制 new_string = re.sub(pattern, replacement, string) print("New string:", new_string) 需要注意的是,正则表达式的具体语法和用法...
import res = "The quick brown fox jumps over the lazy dog."# 使用正则表达式查找单词 "fox"match = re.search(r"\bfox\b", s)if match: print(f"Found 'fox' at position {match.start()}") # 输出：Found 'fox' at position ¾# 查找所有以 "the" 开头的单词matches = re.findall(...
re.findall(pattern, string)函数用于查找字符串中所有与模式匹配的部分,并以列表的形式返回它们。 import re pattern = r'\d+' text = 'There are 3 apples and 5 bananas in the basket' matches = re.findall(pattern, text) print(matches) # 输出: ['3', '5'] ...
pattern = r"\b\w+@\w+\.\w+\b" matches = re.finditer(pattern, text) for match in matches: matched_string = match.group() start_index = match.start() end_index = match.end() span_indices = match.span() print("Matched String:", matched_string) print("Start Index:", start_inde...
import re def match_strings(string1, string2): pattern = re.compile(string1) match = pattern.match(string2) if match: return True else: return False string1 = "hello" string2 = "hello world" if match_strings(string1, string2): print("String 1 matches String 2") else: print("Strin...
if punct in string: num_puncts+=string.count(punct)print(num_puncts) --- 19 如果没有可支配的re模块,那就要用到上面的代码。但如果有re模块,则只需两行代码: import re pattern = r"[;.,–]" print(len(re.findall(pattern,string))) --- 19 本文讨论的是最常用的正则表达式模式,以及一些经常...
re.findall(r'(?P<name>\w+) has (?P<quantity>\d+) \w+', text) for match in matches...
a_string ="A string is more than its parts!"matches= ["more","wholesome","milk"]ifany(xina_stringforxinmatches): 如果是 判断 多个字符串 全部在 a_string 里面 出现 就把any换成all(和c# 的 linq all any 很像)判断一个数组 是否 在 另一个数组里面 用set() 来判断 ...