正则表达式的使用

#原文:?
#coding=utf-8
# regular.py 正则表达式
import re # 正则模块

def regular():
    data = "She is more than pretty. 520"

    # --- 正则 ---
    reg = r"mo" # 指定字符 => span=(7,9),match=‘mo‘
    reg = r"." # (.)单个字符 => span=(0,1),match=‘S‘
    reg = r"." # ()转义符 => span=(23,24),match=‘.‘
    reg = r"[.]" # ([])字符集合(注意:部分特殊字符失去特殊意义) => span=(23,match=‘.‘
    reg = r"[love]" # []内任意字符 => span=(2,3),match=‘e‘
    reg = r"[i-u]" # (-)范围 => span=(4,5),match=‘i‘
    reg = r"t{2}" # {}内为长度(3个6) => span=(20,22),match=‘tt‘
    reg = r"t{1,3}" # {M,} / {.N} / {N} => span=(12,13),match=‘t‘
    reg = r"(i|o|u){1}" # (())组 => span=(4,match=‘i‘
    reg = r"^S" # (^)开头 => span=(0,match=‘S‘
    reg = r"[^S]" # ([^])取反(不含H) => span=(1,2),match=‘h‘
    reg = r"520$" # ($)结尾 => span=(25,28),match=‘520‘
    reg = r"et*" # (*)匹配{0,}个表达式 => [‘e‘,‘e‘,‘ett‘]
    reg = r"et+" # (+)匹配{1,}个表达式 => [‘ett‘]
    reg = r"et?" # (?)匹配{0,1}个表达式 => [‘e‘,‘et‘]
    reg = r".+?e" # (?)非贪婪模式(span=(0,20),match=‘She is more than pre‘ => span=(0,match=‘She‘)

    reg = r"145" # ascii标的8进制数(145=101=e) => span=(2,match=‘e‘
    reg = r"d" # (d)单个数字 => span=(25,26),match=‘5‘ (推荐:[0-9])
    reg = r"D" # (D)非数字 => span=(0,match=‘S‘ (推荐:[^0-9])
    reg = r"s" # (s)空白字符 => span=(3,4),match=‘ ‘ (推荐:[tnrfv])
    reg = r"S" # (S)非空白字符 => span=(0,match=‘S‘ (推荐:[^tnrfv])
    reg = r"w" # (w)单词 => span=(0,match=‘S‘ (推荐:[a-zA-Z0-9_])
    reg = r"W" # (W)非单词 => span=(3,match=‘ ‘ (推荐:[^a-zA-Z0-9_])
    reg = r"AS" # (A)开头 => span=(0,match=‘S‘
    reg = r"520Z" # (Z)结尾 => span=(25,match=‘520‘
    reg = r"yb" # (b)单词边界(Hello) => span=(22,23),match=‘y‘
    reg = r"oB" # (B)非单词边界(world) => span=(8,match=‘o‘
    reg = r"[01]dd|2[0-4]d|25[0-5]" # 或(|) 多位数(匹配0 - 255 直接的数字)


    index = re.search(reg,data) # 查找单个匹配项
    index = re.match(r"She",data) # 匹配开头 => span=(0,match=‘She‘
    index = re.fullmatch(r".+",data) # 匹配全部 => span=(0,match=‘She is more than pretty. 520‘

    lists = re.findall(reg,data) # 查找所有匹配项(列表)
    lists = re.split(r"o",data,maxsplit=1) # 根据正则分割字符串(maxsplit分割次数) => [‘She is m‘,‘re than pretty. 520‘]

    strs = re.sub(r".",r"!",count=1) # 替换(count:替换次数)(匹配替换,未匹配原样) => She is more than pretty! 520

    re.purge() # 清除正则表达式缓存



    # --- 正则表达式对象 ---
    pat = re.compile(r"e") # 编译成正则对象
    # 匹配模式有(使用|组合): re.DEBUG / re.I(IGNORECASE)不区分大小写 / re.L(LOCALE) / re.M(MULTILINE) / re.S(DOTALL) 匹配任何字符,‘.‘含换行,没有此标志,‘.‘除换行符 / re.U(UNICODE) / re.X(VERBOSE)
    pat = re.compile(r"e",re.S|re.I)

    index = pat.search(data) # 查找单个匹配项 => span=(2,match=‘e‘
    index = pat.search(data,5) # => span=(10,11),1,10)
    index = pat.match(data) # 匹配开头 => None
    index = pat.match(data,2) # => span=(2,match=‘e‘
    index = pat.match(data,10)
    index = pat.fullmatch(data) # 匹配全部 => None
    index = pat.fullmatch(data,2) # => None
    index = pat.fullmatch(data,2,3) # span=(2,match=‘e‘

    lists = pat.split(data,maxsplit=0) # 分割 => [‘Sh‘,‘ is mor‘,‘ than pr‘,‘tty. 520‘]
    lists = pat.findall(data) # 查找全部 => [‘e‘,‘e‘]
    lists = pat.findall(data,5) # => [‘e‘,10) # => [‘e‘]

    strs = pat.sub(r"o",count=0) # 替换 => Sho is moro than protty. 520


    # --- Match ---
    match = index;
    # span=(2,match=‘e‘
    strs = match.string # 被匹配的数据 => She is more than pretty. 520
    strs = match.group() # 获取 match(匹配到的) 数据 => e
    pos = match.pos # 起始坐标
    pos = match.endpos # 结束坐标
    index.span()[0]  # match(匹配到)的起始坐标 => 2
    index.span()[1]  # match的结束坐标 => 3



if __name__ == "__main__":
    regular()http://blog.csdn.net/Rozol/article/details/70052637