re — 正则表达式运算 ¶

源代码： Lib/re/

---

此模块提供类似于在 Perl 中找到那些正则表达式匹配操作。

要搜索的模式和字符串两者可以是 Unicode 字符串 ( str ) 及 8 位字符串 ( bytes ). However, Unicode strings and 8-bit strings cannot be mixed: that is, you cannot match a Unicode string with a byte pattern or vice-versa; similarly, when asking for a substitution, the replacement string must be of the same type as both the pattern and the search string.

Regular expressions use the backslash character ( '\' ) to indicate special forms or to allow special characters to be used without invoking their special meaning. This collides with Python’s usage of the same character for the same purpose in string literals; for example, to match a literal backslash, one might have to write '\\\\' as the pattern string, because the regular expression must be \\ , and each backslash must be expressed as \\ inside a regular Python string literal. Also, please note that any invalid escape sequences in Python’s usage of the backslash in string literals now generate a DeprecationWarning and in the future this will become a SyntaxError . This behaviour will happen even if it is a valid escape sequence for a regular expression.

The solution is to use Python’s raw string notation for regular expression patterns; backslashes are not handled in any special way in a string literal prefixed with 'r' . So r"\n" is a two-character string containing '\' and 'n' ，而 "\n" is a one-character string containing a newline. Usually patterns will be expressed in Python code using this raw string notation.

It is important to note that most regular expression operations are available as module-level functions and methods on compiled regular expressions . The functions are shortcuts that don’t require you to compile a regex object first, but miss some fine-tuning parameters.

另请参阅

第 3 方 regex 模块，其拥有的 API 兼容标准库 re 模块，但提供额外功能及更彻底的 Unicode 支持。

正则表达式语法 ¶

A regular expression (or RE) specifies a set of strings that matches it; the functions in this module let you check if a particular string matches a given regular expression (or if a given regular expression matches a particular string, which comes down to the same thing).

Regular expressions can be concatenated to form new regular expressions; if A and B are both regular expressions, then AB is also a regular expression. In general, if a string p 匹配 A and another string q 匹配 B ，字符串 pq will match AB. This holds unless A or B contain low precedence operations; boundary conditions between A and B ; or have numbered group references. Thus, complex expressions can easily be constructed from simpler primitive expressions like the ones described here. For details of the theory and implementation of regular expressions, consult the Friedl book [Frie09] , or almost any textbook about compiler construction.

A brief explanation of the format of regular expressions follows. For further information and a gentler presentation, consult the 正则表达式怎么样 .

Regular expressions can contain both special and ordinary characters. Most ordinary characters, like 'A' , 'a' ，或 '0' , are the simplest regular expressions; they simply match themselves. You can concatenate ordinary characters, so last matches the string 'last' . (In the rest of this section, we’ll write RE’s in this special style , usually without quotes, and strings to be matched 'in single quotes' )。

Some characters, like '|' or '(' , are special. Special characters either stand for classes of ordinary characters, or affect how the regular expressions around them are interpreted.

Repetition operators or quantifiers ( * , + , ? , {m,n} , etc) cannot be directly nested. This avoids ambiguity with the non-greedy modifier suffix ? , and with other modifiers in other implementations. To apply a second repetition to an inner repetition, parentheses may be used. For example, the expression (?:a{6})* matches any multiple of six 'a' 字符。

The special characters are:

.

(Dot.) In the default mode, this matches any character except a newline. If the DOTALL flag has been specified, this matches any character including a newline.

^

(Caret.) Matches the start of the string, and in MULTILINE mode also matches immediately after each newline.

$

Matches the end of the string or just before the newline at the end of the string, and in MULTILINE mode also matches before a newline. foo matches both ‘foo’ and ‘foobar’, while the regular expression foo$ matches only ‘foo’. More interestingly, searching for foo.$ in 'foo1\nfoo2\n' matches ‘foo2’ normally, but ‘foo1’ in MULTILINE mode; searching for a single $ in 'foo\n' will find two (empty) matches: one just before the newline, and one at the end of the string.

*

Causes the resulting RE to match 0 or more repetitions of the preceding RE, as many repetitions as are possible. ab* will match ‘a’, ‘ab’, or ‘a’ followed by any number of ‘b’s.

+

Causes the resulting RE to match 1 or more repetitions of the preceding RE. ab+ will match ‘a’ followed by any non-zero number of ‘b’s; it will not match just ‘a’.

?

Causes the resulting RE to match 0 or 1 repetitions of the preceding RE. ab? will match either ‘a’ or ‘ab’.

*? , +? , ??

'*' , '+' ，和 '?' quantifiers are all greedy ; they match as much text as possible. Sometimes this behaviour isn’t desired; if the RE <.*> is matched against '<a> b <c>' , it will match the entire string, and not just '<a>' . Adding ? after the quantifier makes it perform the match in non-greedy or minimal fashion; as few characters as possible will be matched. Using the RE <.*?> will match only '<a>' .

*+ , ++ , ?+

像 '*' , '+' ，和 '?' quantifiers, those where '+' is appended also match as many times as possible. However, unlike the true greedy quantifiers, these do not allow back-tracking when the expression following it fails to match. These are known as possessive quantifiers. For example, a*a will match 'aaaa' because the a* will match all 4 'a' s, but, when the final 'a' is encountered, the expression is backtracked so that in the end the a* ends up matching 3 'a' s total, and the fourth 'a' is matched by the final 'a' . However, when a*+a is used to match 'aaaa' ， a*+ will match all 4 'a' , but when the final 'a' fails to find any more characters to match, the expression cannot be backtracked and will thus fail to match. x*+ , x++ and x?+ are equivalent to (?>x*) , (?>x+) and (?>x?) correspondingly.

3.11 版新增。

{m}

Specifies that exactly m copies of the previous RE should be matched; fewer matches cause the entire RE not to match. For example, a{6} will match exactly six 'a' characters, but not five.

{m,n}

Causes the resulting RE to match from m to n repetitions of the preceding RE, attempting to match as many repetitions as possible. For example, a{3,5} will match from 3 to 5 'a' characters. Omitting m specifies a lower bound of zero, and omitting n specifies an infinite upper bound. As an example, a{4,}b will match 'aaaab' or a thousand 'a' characters followed by a 'b' , but not 'aaab' . The comma may not be omitted or the modifier would be confused with the previously described form.

{m,n}?

Causes the resulting RE to match from m to n repetitions of the preceding RE, attempting to match as few repetitions as possible. This is the non-greedy version of the previous quantifier. For example, on the 6-character string 'aaaaaa' , a{3,5} will match 5 'a' characters, while a{3,5}? will only match 3 characters.

{m,n}+

Causes the resulting RE to match from m to n repetitions of the preceding RE, attempting to match as many repetitions as possible without establishing any backtracking points. This is the possessive version of the quantifier above. For example, on the 6-character string 'aaaaaa' , a{3,5}+aa attempt to match 5 'a' characters, then, requiring 2 more 'a' s, will need more characters than available and thus fail, while a{3,5}aa will match with a{3,5} capturing 5, then 4 'a' s by backtracking and then the final 2 'a' s are matched by the final aa in the pattern. x{m,n}+ 相当于 (?>x{m,n}) .

3.11 版新增。

\

Either escapes special characters (permitting you to match characters like '*' , '?' , and so forth), or signals a special sequence; special sequences are discussed below.

If you’re not using a raw string to express the pattern, remember that Python also uses the backslash as an escape sequence in string literals; if the escape sequence isn’t recognized by Python’s parser, the backslash and subsequent character are included in the resulting string. However, if Python would recognize the resulting sequence, the backslash should be repeated twice. This is complicated and hard to understand, so it’s highly recommended that you use raw strings for all but the simplest expressions.

[]

Used to indicate a set of characters. In a set:

• Characters can be listed individually, e.g. [amk] will match 'a' , 'm' ，或 'k' .

• Ranges of characters can be indicated by giving two characters and separating them by a '-' ，例如 [a-z] will match any lowercase ASCII letter, [0-5][0-9] will match all the two-digits numbers from 00 to 59 ，和 [0-9A-Fa-f] will match any hexadecimal digit. If - is escaped (e.g. [a\-z] ) or if it’s placed as the first or last character (e.g. [-a] or [a-] ), it will match a literal '-' .

• Special characters lose their special meaning inside sets. For example, [(+*)] will match any of the literal characters '(' , '+' , '*' ，或 ')' .

• Character classes such as \w or \S (defined below) are also accepted inside a set, although the characters they match depends on whether ASCII or LOCALE mode is in force.

• Characters that are not within a range can be matched by complementing the set. If the first character of the set is '^' , all the characters that are not in the set will be matched. For example, [^5] will match any character except '5' ，和 [^^] will match any character except '^' . ^ has no special meaning if it’s not the first character in the set.

• To match a literal ']' inside a set, precede it with a backslash, or place it at the beginning of the set. For example, both [()[\]{}] and []()[{}] will both match a parenthesis.

• Support of nested sets and set operations as in Unicode Technical Standard #18 might be added in the future. This would change the syntax, so to facilitate this change a FutureWarning will be raised in ambiguous cases for the time being. That includes sets starting with a literal '[' or containing literal character sequences '--' , '&&' , '~~' ，和 '||' . To avoid a warning escape them with a backslash.

3.7 版改变： FutureWarning is raised if a character set contains constructs that will change semantically in the future.

|

A|B ，其中 A and B can be arbitrary REs, creates a regular expression that will match either A or B . An arbitrary number of REs can be separated by the '|' in this way. This can be used inside groups (see below) as well. As the target string is scanned, REs separated by '|' are tried from left to right. When one pattern completely matches, that branch is accepted. This means that once A matches, B will not be tested further, even if it would produce a longer overall match. In other words, the '|' operator is never greedy. To match a literal '|' ，使用 \| , or enclose it inside a character class, as in [|] .

(...)

Matches whatever regular expression is inside the parentheses, and indicates the start and end of a group; the contents of a group can be retrieved after a match has been performed, and can be matched later in the string with the \number special sequence, described below. To match the literals '(' or ')' ，使用 \( or \) , or enclose them inside a character class: [(] , [)] .

(?...)

This is an extension notation (a '?' following a '(' is not meaningful otherwise). The first character after the '?' determines what the meaning and further syntax of the construct is. Extensions usually do not create a new group; (?P<name>...) is the only exception to this rule. Following are the currently supported extensions.

(?aiLmsux)

(One or more letters from the set 'a' , 'i' , 'L' , 'm' , 's' , 'u' , 'x' .) The group matches the empty string; the letters set the corresponding flags: re.A (ASCII-only matching), re.I (ignore case), re.L (locale dependent), re.M (multi-line), re.S (dot matches all), re.U (Unicode matching), and re.X (verbose), for the entire regular expression. (The flags are described in 模块内容 .) This is useful if you wish to include the flags as part of the regular expression, instead of passing a flag 自变量到 re.compile() function. Flags should be used first in the expression string.

3.11 版改变： This construction can only be used at the start of the expression.

(?:...)

A non-capturing version of regular parentheses. Matches whatever regular expression is inside the parentheses, but the substring matched by the group cannot be retrieved after performing a match or referenced later in the pattern.

(?aiLmsux-imsx:...)

(Zero or more letters from the set 'a' , 'i' , 'L' , 'm' , 's' , 'u' , 'x' , optionally followed by '-' followed by one or more letters from the 'i' , 'm' , 's' , 'x' .) The letters set or remove the corresponding flags: re.A (ASCII-only matching), re.I (ignore case), re.L (locale dependent), re.M (multi-line), re.S (dot matches all), re.U (Unicode matching), and re.X (verbose), for the part of the expression. (The flags are described in 模块内容 )。

The letters 'a' , 'L' and 'u' are mutually exclusive when used as inline flags, so they can’t be combined or follow '-' . Instead, when one of them appears in an inline group, it overrides the matching mode in the enclosing group. In Unicode patterns (?a:...) switches to ASCII-only matching, and (?u:...) switches to Unicode matching (default). In byte pattern (?L:...) switches to locale depending matching, and (?a:...) switches to ASCII-only matching (default). This override is only in effect for the narrow inline group, and the original matching mode is restored outside of the group.

3.6 版新增。

3.7 版改变： The letters 'a' , 'L' and 'u' also can be used in a group.

(?>...)

Attempts to match ... as if it was a separate regular expression, and if successful, continues to match the rest of the pattern following it. If the subsequent pattern fails to match, the stack can only be unwound to a point before (?>...) because once exited, the expression, known as an atomic group , has thrown away all stack points within itself. Thus, (?>.*). would never match anything because first the .* would match all characters possible, then, having nothing left to match, the final . would fail to match. Since there are no stack points saved in the Atomic Group, and there is no stack point before it, the entire expression would thus fail to match.

3.11 版新增。

(?P<name>...)

Similar to regular parentheses, but the substring matched by the group is accessible via the symbolic group name name . Group names must be valid Python identifiers, and each group name must be defined only once within a regular expression. A symbolic group is also a numbered group, just as if the group were not named.

Named groups can be referenced in three contexts. If the pattern is (?P<quote>['"]).*?(?P=quote) (i.e. matching a string quoted with either single or double quotes):

Context of reference to group “quote”	Ways to reference it
in the same pattern itself	(?P=quote) (as shown) \1
when processing match object m	m.group('quote') m.end('quote') (etc.)
in a string passed to the repl 自变量 re.sub()	\g<quote> \g<1> \1

Deprecated since version 3.11: Group names containing non-ASCII characters in bytes patterns.

(?P=name)

A backreference to a named group; it matches whatever text was matched by the earlier group named name .

(?#...)

A comment; the contents of the parentheses are simply ignored.

(?=...)

Matches if ... matches next, but doesn’t consume any of the string. This is called a lookahead assertion 。例如， Isaac (?=Asimov) will match 'Isaac ' only if it’s followed by 'Asimov' .

(?!...)

Matches if ... doesn’t match next. This is a negative lookahead assertion 。例如， Isaac (?!Asimov) will match 'Isaac ' only if it’s not followed by 'Asimov' .

(?<=...)

Matches if the current position in the string is preceded by a match for ... that ends at the current position. This is called a positive lookbehind assertion . (?<=abc)def will find a match in 'abcdef' , since the lookbehind will back up 3 characters and check if the contained pattern matches. The contained pattern must only match strings of some fixed length, meaning that abc or a|b are allowed, but a* and a{3,4} are not. Note that patterns which start with positive lookbehind assertions will not match at the beginning of the string being searched; you will most likely want to use the search() function rather than the match() 函数：

>>> import re
>>> m = re.search('(?<=abc)def', 'abcdef')
>>> m.group(0)
'def'
						

This example looks for a word following a hyphen:

>>> m = re.search(r'(?<=-)\w+', 'spam-egg')
>>> m.group(0)
'egg'
						

3.5 版改变： Added support for group references of fixed length.

(?<!...)

Matches if the current position in the string is not preceded by a match for ... . This is called a negative lookbehind assertion . Similar to positive lookbehind assertions, the contained pattern must only match strings of some fixed length. Patterns which start with negative lookbehind assertions may match at the beginning of the string being searched.

(?(id/name)yes-pattern|no-pattern)

Will try to match with yes-pattern if the group with given id or name exists, and with no-pattern 若它没有。 no-pattern is optional and can be omitted. For example, (<)?(\w+@\w+(?:\.\w+)+)(?(1)>|$) is a poor email matching pattern, which will match with '<user@host.com>' 及 'user@host.com' ，但不采用 '<user@host.com' nor 'user@host.com>' .

Deprecated since version 3.11: Group id containing anything except ASCII digits.

The special sequences consist of '\' and a character from the list below. If the ordinary character is not an ASCII digit or an ASCII letter, then the resulting RE will match the second character. For example, \$ 匹配字符 '$' .

\number

Matches the contents of the group of the same number. Groups are numbered starting from 1. For example, (.+) \1 匹配 'the the' or '55 55' , but not 'thethe' (note the space after the group). This special sequence can only be used to match one of the first 99 groups. If the first digit of number is 0, or number is 3 octal digits long, it will not be interpreted as a group match, but as the character with octal value number . Inside the '[' and ']' of a character class, all numeric escapes are treated as characters.

\A

仅匹配字符串开头。

\b

Matches the empty string, but only at the beginning or end of a word. A word is defined as a sequence of word characters. Note that formally, \b is defined as the boundary between a \w 和 \W character (or vice versa), or between \w and the beginning/end of the string. This means that r'\bfoo\b' 匹配 'foo' , 'foo.' , '(foo)' , 'bar foo baz' 而非 'foobar' or 'foo3' .

By default Unicode alphanumerics are the ones used in Unicode patterns, but this can be changed by using the ASCII flag. Word boundaries are determined by the current locale if the LOCALE flag is used. Inside a character range, \b represents the backspace character, for compatibility with Python’s string literals.

\B

Matches the empty string, but only when it is not at the beginning or end of a word. This means that r'py\B' 匹配 'python' , 'py3' , 'py2' , but not 'py' , 'py.' ，或 'py!' . \B is just the opposite of \b , so word characters in Unicode patterns are Unicode alphanumerics or the underscore, although this can be changed by using the ASCII flag. Word boundaries are determined by the current locale if the LOCALE flag is used.

\d

对于 Unicode (str) 模式：

匹配任何 Unicode 十进制数字 (也就是说，Unicode 字符类别 [Nd] 中的任何字符)。这包括 [0-9] ，和很多其它数字字符。若 ASCII 标志有使用，仅 [0-9] 被匹配。

对于 8 位 (字节) 模式：

匹配任何十进制数字；这相当于 [0-9] .

\D

匹配任何不是十进制数字的字符。这相反于 \d 。若 ASCII 标志有使用，这变为相当于 [^0-9] .

\s

对于 Unicode (str) 模式：

匹配 Unicode 空白字符 (包括 [ \t\n\r\f\v] ，和很多其它字符，例如，很多语言排版规则规定的不间断空格)。若 ASCII 标志的使用，仅 [ \t\n\r\f\v] 被匹配。

对于 8 位 (字节) 模式：

匹配 ASCII 字符集中被认为空白的字符；这相当于 [ \t\n\r\f\v] .

\S

匹配任何不是空白字符的字符。这相反于 \s 。若 ASCII 标志有使用，这变为相当于 [^ \t\n\r\f\v] .

\w

对于 Unicode (str) 模式：

匹配 Unicode 单词字符；这包括可以是任何语言单词的一部分的大多数字符，及数字和下划线。若 ASCII 标志的使用，仅 [a-zA-Z0-9_] 被匹配。

对于 8 位 (字节) 模式：

匹配 ASCII 字符集中被认为是字母数字的字符；这相当于 [a-zA-Z0-9_] 。若 LOCALE 标志有使用，匹配在当前区域设置中被认为是字母数字的字符和下划线。

\W

匹配任何不是单词字符的字符。这相反于 \w 。若 ASCII 标志有使用，这变为相当于 [^a-zA-Z0-9_] 。若 LOCALE 标志有使用，匹配在当前区域设置中既不是字母数字也不是下划线的字符。

\Z

仅匹配字符串末尾。

Most of the standard escapes supported by Python string literals are also accepted by the regular expression parser:

\a      \b      \f      \n
\N      \r      \t      \u
\U      \v      \x      \\
					

(注意， \b is used to represent word boundaries, and means “backspace” only inside character classes.)

'\u' , '\U' ，和 '\N' escape sequences are only recognized in Unicode patterns. In bytes patterns they are errors. Unknown escapes of ASCII letters are reserved for future use and treated as errors.

Octal escapes are included in a limited form. If the first digit is a 0, or if there are three octal digits, it is considered an octal escape. Otherwise, it is a group reference. As for string literals, octal escapes are always at most three digits in length.

3.3 版改变： '\u' and '\U' 转义序列被添加。

3.6 版改变： 未知转义组成通过 '\' 和 ASCII 字母现在是错误的。

3.8 版改变： '\N{name}' 转义序列被添加。如在字符串文字中，它扩展命名 Unicode 字符 (如 '\N{EM DASH}' ).

模块内容 ¶

The module defines several functions, constants, and an exception. Some of the functions are simplified versions of the full featured methods for compiled regular expressions. Most non-trivial applications always use the compiled form.

Flags ¶

3.6 版改变： Flag constants are now instances of RegexFlag ，这是子类对于 enum.IntFlag .

class re. RegexFlag ¶

An enum.IntFlag class containing the regex options listed below.

3.11 版新增： - added to __all__

re. A ¶

re. ASCII ¶

Make \w , \W , \b , \B , \d , \D , \s and \S perform ASCII-only matching instead of full Unicode matching. This is only meaningful for Unicode patterns, and is ignored for byte patterns. Corresponds to the inline flag (?a) .

注意，为向后兼容， re.U flag still exists (as well as its synonym re.UNICODE and its embedded counterpart (?u) ), but these are redundant in Python 3 since matches are Unicode by default for strings (and Unicode matching isn’t allowed for bytes).

re. DEBUG ¶

Display debug information about compiled expression. No corresponding inline flag.

re. I ¶

re. IGNORECASE ¶

Perform case-insensitive matching; expressions like [A-Z] will also match lowercase letters. Full Unicode matching (such as Ü matching ü ) also works unless the re.ASCII flag is used to disable non-ASCII matches. The current locale does not change the effect of this flag unless the re.LOCALE flag is also used. Corresponds to the inline flag (?i) .

Note that when the Unicode patterns [a-z] or [A-Z] are used in combination with the IGNORECASE flag, they will match the 52 ASCII letters and 4 additional non-ASCII letters: ‘İ’ (U+0130, Latin capital letter I with dot above), ‘ı’ (U+0131, Latin small letter dotless i), ‘ſ’ (U+017F, Latin small letter long s) and ‘K’ (U+212A, Kelvin sign). If the ASCII flag is used, only letters ‘a’ to ‘z’ and ‘A’ to ‘Z’ are matched.

re. L ¶

re. LOCALE ¶

Make \w , \W , \b , \B and case-insensitive matching dependent on the current locale. This flag can be used only with bytes patterns. The use of this flag is discouraged as the locale mechanism is very unreliable, it only handles one “culture” at a time, and it only works with 8-bit locales. Unicode matching is already enabled by default in Python 3 for Unicode (str) patterns, and it is able to handle different locales/languages. Corresponds to the inline flag (?L) .

3.6 版改变： re.LOCALE can be used only with bytes patterns and is not compatible with re.ASCII .

3.7 版改变： Compiled regular expression objects with the re.LOCALE flag no longer depend on the locale at compile time. Only the locale at matching time affects the result of matching.

re. M ¶

re. MULTILINE ¶

When specified, the pattern character '^' matches at the beginning of the string and at the beginning of each line (immediately following each newline); and the pattern character '$' matches at the end of the string and at the end of each line (immediately preceding each newline). By default, '^' matches only at the beginning of the string, and '$' only at the end of the string and immediately before the newline (if any) at the end of the string. Corresponds to the inline flag (?m) .

re. NOFLAG ¶

Indicates no flag being applied, the value is 0 . This flag may be used as a default value for a function keyword argument or as a base value that will be conditionally ORed with other flags. Example of use as a default value:

def myfunc(text, flag=re.NOFLAG):
    return re.match(text, flag)
						

3.11 版新增。

re. S ¶

re. DOTALL ¶

Make the '.' special character match any character at all, including a newline; without this flag, '.' will match anything except a newline. Corresponds to the inline flag (?s) .

re. X ¶

re. VERBOSE ¶

This flag allows you to write regular expressions that look nicer and are more readable by allowing you to visually separate logical sections of the pattern and add comments. Whitespace within the pattern is ignored, except when in a character class, or when preceded by an unescaped backslash, or within tokens like *? , (?: or (?P<...> 。例如， (? : and * ? are not allowed. When a line contains a # that is not in a character class and is not preceded by an unescaped backslash, all characters from the leftmost such # through the end of the line are ignored.

This means that the two following regular expression objects that match a decimal number are functionally equal:

a = re.compile(r"""\d +  # the integral part
                   \.    # the decimal point
                   \d *  # some fractional digits""", re.X)
b = re.compile(r"\d+\.\d*")
						

相当于内联标志 (?x) .

函数 ¶

re. compile ( pattern , flags = 0 ) ¶

将正则表达式模式编译成 正则表达式对象 ，可以用于匹配使用其 match() , search() 及其它方法，下文有描述。

表达式的行为可以被修改通过指定 flags 值。值可以是以下任何变量，使用按位 OR 或组合 ( | 运算符)。

序列

prog = re.compile(pattern)
result = prog.match(string)
						

相当于

result = re.match(pattern, string)
						

但使用 re.compile() 和保存产生的正则表达式对象以供重用会更高效，当表达式将在单个程序中被使用几次时。

注意

最新模式的编译版本被传递给 re.compile() 并缓存模块级匹配函数，因此，每次只使用几个正则表达式的程序不需要担心编译正则表达式。

re. search ( pattern , string , flags = 0 ) ¶

扫描整个 string looking for the first location where the regular expression pattern produces a match, and return a corresponding 匹配对象 。返回 None if no position in the string matches the pattern; note that this is different from finding a zero-length match at some point in the string.

re. match ( pattern , string , flags = 0 ) ¶

If zero or more characters at the beginning of string match the regular expression pattern , return a corresponding 匹配对象 。返回 None if the string does not match the pattern; note that this is different from a zero-length match.

注意，即使在 MULTILINE 模式， re.match() will only match at the beginning of the string and not at the beginning of each line.

If you want to locate a match anywhere in string ，使用 search() 代替 (另请参阅 search() vs. match() ).

re. fullmatch ( pattern , string , flags = 0 ) ¶

若整个 string matches the regular expression pattern , return a corresponding 匹配对象 。返回 None if the string does not match the pattern; note that this is different from a zero-length match.

3.4 版新增。

re. split ( pattern , string , maxsplit = 0 , flags = 0 ) ¶

分割 string by the occurrences of pattern . If capturing parentheses are used in pattern , then the text of all groups in the pattern are also returned as part of the resulting list. If maxsplit is nonzero, at most maxsplit splits occur, and the remainder of the string is returned as the final element of the list.

>>> re.split(r'\W+', 'Words, words, words.')
['Words', 'words', 'words', '']
>>> re.split(r'(\W+)', 'Words, words, words.')
['Words', ', ', 'words', ', ', 'words', '.', '']
>>> re.split(r'\W+', 'Words, words, words.', 1)
['Words', 'words, words.']
>>> re.split('[a-f]+', '0a3B9', flags=re.IGNORECASE)
['0', '3', '9']
						

If there are capturing groups in the separator and it matches at the start of the string, the result will start with an empty string. The same holds for the end of the string:

>>> re.split(r'(\W+)', '...words, words...')
['', '...', 'words', ', ', 'words', '...', '']
					

That way, separator components are always found at the same relative indices within the result list.

Empty matches for the pattern split the string only when not adjacent to a previous empty match.

>>> re.split(r'\b', 'Words, words, words.')
['', 'Words', ', ', 'words', ', ', 'words', '.']
>>> re.split(r'\W*', '...words...')
['', '', 'w', 'o', 'r', 'd', 's', '', '']
>>> re.split(r'(\W*)', '...words...')
['', '...', '', '', 'w', '', 'o', '', 'r', '', 'd', '', 's', '...', '', '', '']
				

3.1 版改变： 添加可选 flags 自变量。

3.7 版改变： 添加对可以匹配空字符串的模式的分割支持。

re. findall ( pattern , string , flags = 0 ) ¶

返回所有非重叠匹配对于 pattern in string ，按字符串 (或元组) 列表形式。 string 被从左到右扫描，并按发现次序返回匹配。结果中包括空匹配。

结果从属按模式捕获的组数。若没有组，返回整个模式匹配的字符串列表。若只有一个组，返回该组匹配的字符串列表。若存在多个组，返回组匹配的字符串元组的列表。非捕获组不影响结果的形成。

>>> re.findall(r'\bf[a-z]*', 'which foot or hand fell fastest')
['foot', 'fell', 'fastest']
>>> re.findall(r'(\w+)=(\d+)', 'set width=20 and height=10')
[('width', '20'), ('height', '10')]
		

3.7 版改变： 非空匹配现可以恰好在先前空匹配之后开始。

re. finditer ( pattern , string , flags = 0 ) ¶

返回 iterator 产生 匹配对象 遍历所有非重叠匹配对于 RE pattern in string 。 string 被从左到右扫描，并按发现次序返回匹配。结果中包括空匹配。

3.7 版改变： 非空匹配现可以恰好在先前空匹配之后开始。

re. sub ( pattern , repl , string , count = 0 , flags = 0 ) ¶

Return the string obtained by replacing the leftmost non-overlapping occurrences of pattern in string by the replacement repl . If the pattern isn’t found, string is returned unchanged. repl can be a string or a function; if it is a string, any backslash escapes in it are processed. That is, \n is converted to a single newline character, \r is converted to a carriage return, and so forth. Unknown escapes of ASCII letters are reserved for future use and treated as errors. Other unknown escapes such as \& are left alone. Backreferences, such as \6 , are replaced with the substring matched by group 6 in the pattern. For example:

>>> re.sub(r'def\s+([a-zA-Z_][a-zA-Z_0-9]*)\s*\(\s*\):',
...        r'static PyObject*\npy_\1(void)\n{',
...        'def myfunc():')
'static PyObject*\npy_myfunc(void)\n{'
		

若 repl is a function, it is called for every non-overlapping occurrence of pattern . The function takes a single 匹配对象 argument, and returns the replacement string. For example:

>>> def dashrepl(matchobj):
...     if matchobj.group(0) == '-': return ' '
...     else: return '-'
>>> re.sub('-{1,2}', dashrepl, 'pro----gram-files')
'pro--gram files'
>>> re.sub(r'\sAND\s', ' & ', 'Baked Beans And Spam', flags=re.IGNORECASE)
'Baked Beans & Spam'
		

模式可以是字符串或 模式对象 .

可选自变量 count is the maximum number of pattern occurrences to be replaced; count must be a non-negative integer. If omitted or zero, all occurrences will be replaced. Empty matches for the pattern are replaced only when not adjacent to a previous empty match, so sub('x*', '-', 'abxd') 返回 '-a-b--d-' .

In string-type repl arguments, in addition to the character escapes and backreferences described above, \g<name> will use the substring matched by the group named name , as defined by the (?P<name>...) 句法。 \g<number> uses the corresponding group number; \g<2> is therefore equivalent to \2 , but isn’t ambiguous in a replacement such as \g<2>0 . \20 would be interpreted as a reference to group 20, not a reference to group 2 followed by the literal character '0' . The backreference \g<0> substitutes in the entire substring matched by the RE.

3.1 版改变： 添加可选 flags 自变量。

3.5 版改变： 不匹配组以空字符串替换。

3.6 版改变： 未知转义在 pattern 组成通过 '\' 和 ASCII 字母现在是错误的。

3.7 版改变： 未知转义在 repl 组成通过 '\' 和 ASCII 字母现在是错误的。

3.7 版改变： Empty matches for the pattern are replaced when adjacent to a previous non-empty match.

Deprecated since version 3.11: Group id containing anything except ASCII digits. Group names containing non-ASCII characters in bytes replacement strings.

re. subn ( pattern , repl , string , count = 0 , flags = 0 ) ¶

Perform the same operation as sub() ，但返回元组 (new_string, number_of_subs_made) .

3.1 版改变： 添加可选 flags 自变量。

3.5 版改变： 不匹配组以空字符串替换。

re. escape ( pattern ) ¶

Escape special characters in pattern . This is useful if you want to match an arbitrary literal string that may have regular expression metacharacters in it. For example:

>>> print(re.escape('https://www.python.org'))
https://www\.python\.org
>>> legal_chars = string.ascii_lowercase + string.digits + "!#$%&'*+-.^_`|~:"
>>> print('[%s]+' % re.escape(legal_chars))
[abcdefghijklmnopqrstuvwxyz0123456789!\#\$%\&'\*\+\-\.\^_`\|\~:]+
>>> operators = ['+', '-', '*', '/', '**']
>>> print('|'.join(map(re.escape, sorted(operators, reverse=True))))
/|\-|\+|\*\*|\*
	

This function must not be used for the replacement string in sub() and subn() , only backslashes should be escaped. For example:

>>> digits_re = r'\d+'
>>> sample = '/usr/sbin/sendmail - 0 errors, 12 warnings'
>>> print(re.sub(digits_re, digits_re.replace('\\', r'\\'), sample))
/usr/sbin/sendmail - \d+ errors, \d+ warnings

3.3 版改变： '_' 字符不再转义。

3.7 版改变： Only characters that can have special meaning in a regular expression are escaped. As a result, '!' , '"' , '%' , "'" , ',' , '/' , ':' , ';' , '<' , '=' , '>' , '@' ，和 "`" are no longer escaped.

re. purge ( ) ¶

清零正则表达式缓存。

异常 ¶

exception re. error ( msg , pattern = None , pos = None ) ¶

Exception raised when a string passed to one of the functions here is not a valid regular expression (for example, it might contain unmatched parentheses) or when some other error occurs during compilation or matching. It is never an error if a string contains no match for a pattern. The error instance has the following additional attributes:

msg ¶

未格式化的错误消息。

pattern ¶

正则表达式模式。

pos ¶

The index in pattern where compilation failed (may be None ).

lineno ¶

行对应 pos (可以是 None ).

colno ¶

列对应 pos (可以是 None ).

3.5 版改变： 添加额外属性。

正则表达式对象 ¶

Compiled regular expression objects support the following methods and attributes:

Pattern. search ( string [ , pos [ , endpos ] ] ) ¶

扫描整个 string looking for the first location where this regular expression produces a match, and return a corresponding 匹配对象 。返回 None if no position in the string matches the pattern; note that this is different from finding a zero-length match at some point in the string.

The optional second parameter pos gives an index in the string where the search is to start; it defaults to 0 . This is not completely equivalent to slicing the string; the '^' pattern character matches at the real beginning of the string and at positions just after a newline, but not necessarily at the index where the search is to start.

可选参数 endpos limits how far the string will be searched; it will be as if the string is endpos characters long, so only the characters from pos to endpos - 1 will be searched for a match. If endpos 小于 pos , no match will be found; otherwise, if rx is a compiled regular expression object, rx.search(string, 0, 50) 相当于 rx.search(string[:50], 0) .

>>> pattern = re.compile("d")
>>> pattern.search("dog")     # Match at index 0
<re.Match object; span=(0, 1), match='d'>
>>> pattern.search("dog", 1)  # No match; search doesn't include the "d"

Pattern. match ( string [ , pos [ , endpos ] ] ) ¶

If zero or more characters at the beginning of string match this regular expression, return a corresponding 匹配对象 。返回 None if the string does not match the pattern; note that this is different from a zero-length match.

可选 pos and endpos parameters have the same meaning as for the search() 方法。

>>> pattern = re.compile("o")
>>> pattern.match("dog")      # No match as "o" is not at the start of "dog".
>>> pattern.match("dog", 1)   # Match as "o" is the 2nd character of "dog".
<re.Match object; span=(1, 2), match='o'>

If you want to locate a match anywhere in string ，使用 search() 代替 (另请参阅 search() vs. match() ).

Pattern. fullmatch ( string [ , pos [ , endpos ] ] ) ¶

若整个 string matches this regular expression, return a corresponding 匹配对象 。返回 None if the string does not match the pattern; note that this is different from a zero-length match.

可选 pos and endpos parameters have the same meaning as for the search() 方法。

>>> pattern = re.compile("o[gh]")
>>> pattern.fullmatch("dog")      # No match as "o" is not at the start of "dog".
>>> pattern.fullmatch("ogre")     # No match as not the full string matches.
>>> pattern.fullmatch("doggie", 1, 3)   # Matches within given limits.
<re.Match object; span=(1, 3), match='og'>

3.4 版新增。

Pattern. split ( string , maxsplit = 0 ) ¶

等同于 split() 函数，使用编译模式。

Pattern. findall ( string [ , pos [ , endpos ] ] ) ¶

类似于 findall() function, using the compiled pattern, but also accepts optional pos and endpos parameters that limit the search region like for search() .

Pattern. finditer ( string [ , pos [ , endpos ] ] ) ¶

类似于 finditer() function, using the compiled pattern, but also accepts optional pos and endpos parameters that limit the search region like for search() .

Pattern. sub ( repl , string , count = 0 ) ¶

等同于 sub() 函数，使用编译模式。

Pattern. subn ( repl , string , count = 0 ) ¶

等同于 subn() 函数，使用编译模式。

Pattern. flags ¶

The regex matching flags. This is a combination of the flags given to compile() ，任何 (?...) inline flags in the pattern, and implicit flags such as UNICODE if the pattern is a Unicode string.

Pattern. groups ¶

The number of capturing groups in the pattern.

Pattern. groupindex ¶

A dictionary mapping any symbolic group names defined by (?P<id>) to group numbers. The dictionary is empty if no symbolic groups were used in the pattern.

Pattern. pattern ¶

The pattern string from which the pattern object was compiled.

3.7 版改变： 添加支持 copy.copy() and copy.deepcopy() . Compiled regular expression objects are considered atomic.

Match 对象 ¶

Match 对象始终拥有布尔值 True 。由于 match() and search() return None when there is no match, you can test whether there was a match with a simple if 语句：

match = re.search(pattern, string)
if match:
    process(match)

Match 对象支持下列方法和属性：

Match. expand ( template ) ¶

Return the string obtained by doing backslash substitution on the template string template , as done by the sub() method. Escapes such as \n are converted to the appropriate characters, and numeric backreferences ( \1 , \2 ) and named backreferences ( \g<1> , \g<name> ) are replaced by the contents of the corresponding group.

3.5 版改变： 不匹配组以空字符串替换。

Match. group ( [ group1 , ... ] ) ¶

Returns one or more subgroups of the match. If there is a single argument, the result is a single string; if there are multiple arguments, the result is a tuple with one item per argument. Without arguments, group1 defaults to zero (the whole match is returned). If a groupN argument is zero, the corresponding return value is the entire matching string; if it is in the inclusive range [1..99], it is the string matching the corresponding parenthesized group. If a group number is negative or larger than the number of groups defined in the pattern, an IndexError exception is raised. If a group is contained in a part of the pattern that did not match, the corresponding result is None . If a group is contained in a part of the pattern that matched multiple times, the last match is returned.

>>> m = re.match(r"(\w+) (\w+)", "Isaac Newton, physicist")
>>> m.group(0)       # The entire match
'Isaac Newton'
>>> m.group(1)       # The first parenthesized subgroup.
'Isaac'
>>> m.group(2)       # The second parenthesized subgroup.
'Newton'
>>> m.group(1, 2)    # Multiple arguments give us a tuple.
('Isaac', 'Newton')

若正则表达式使用 (?P<name>...) 句法， groupN arguments may also be strings identifying groups by their group name. If a string argument is not used as a group name in the pattern, an IndexError 异常被引发。

中等复杂范例：

>>> m = re.match(r"(?P<first_name>\w+) (?P<last_name>\w+)", "Malcolm Reynolds")
>>> m.group('first_name')
'Malcolm'
>>> m.group('last_name')
'Reynolds'

Named groups can also be referred to by their index:

>>> m.group(1)
'Malcolm'
>>> m.group(2)
'Reynolds'

If a group matches multiple times, only the last match is accessible:

>>> m = re.match(r"(..)+", "a1b2c3")  # Matches 3 times.
>>> m.group(1)                        # Returns only the last match.
'c3'

Match. __getitem__ ( g ) ¶

This is identical to m.group(g) . This allows easier access to an individual group from a match:

>>> m = re.match(r"(\w+) (\w+)", "Isaac Newton, physicist")
>>> m[0]       # The entire match
'Isaac Newton'
>>> m[1]       # The first parenthesized subgroup.
'Isaac'
>>> m[2]       # The second parenthesized subgroup.
'Newton'

Named groups are supported as well:

>>> m = re.match(r"(?P<first_name>\w+) (?P<last_name>\w+)", "Isaac Newton")
>>> m['first_name']
'Isaac'
>>> m['last_name']
'Newton'

3.6 版新增。

Match. groups ( default = None ) ¶

Return a tuple containing all the subgroups of the match, from 1 up to however many groups are in the pattern. The default argument is used for groups that did not participate in the match; it defaults to None .

例如：

>>> m = re.match(r"(\d+)\.(\d+)", "24.1632")
>>> m.groups()
('24', '1632')

If we make the decimal place and everything after it optional, not all groups might participate in the match. These groups will default to None 除非 default argument is given:

>>> m = re.match(r"(\d+)\.?(\d+)?", "24")
>>> m.groups()      # Second group defaults to None.
('24', None)
>>> m.groups('0')   # Now, the second group defaults to '0'.
('24', '0')

Match. groupdict ( default = None ) ¶

Return a dictionary containing all the 命名 subgroups of the match, keyed by the subgroup name. The default argument is used for groups that did not participate in the match; it defaults to None 。例如：

>>> m = re.match(r"(?P<first_name>\w+) (?P<last_name>\w+)", "Malcolm Reynolds")
>>> m.groupdict()
{'first_name': 'Malcolm', 'last_name': 'Reynolds'}

Match. start ( [ group ] ) ¶

Match. end ( [ group ] ) ¶

Return the indices of the start and end of the substring matched by group ; group defaults to zero (meaning the whole matched substring). Return -1 if group exists but did not contribute to the match. For a match object m , and a group g that did contribute to the match, the substring matched by group g (equivalent to m.group(g) ) is

m.string[m.start(g):m.end(g)]

注意， m.start(group) will equal m.end(group) if group matched a null string. For example, after m = re.search('b(c?)', 'cba') , m.start(0) is 1, m.end(0) is 2, m.start(1) and m.end(1) are both 2, and m.start(2) 引发 IndexError 异常。

An example that will remove remove_this from email addresses:

>>> email = "tony@tiremove_thisger.net"
>>> m = re.search("remove_this", email)
>>> email[:m.start()] + email[m.end():]
'tony@tiger.net'

Match. span ( [ group ] ) ¶

For a match m , return the 2-tuple (m.start(group), m.end(group)) 。注意，若 group did not contribute to the match, this is (-1, -1) . group defaults to zero, the entire match.

Match. pos ¶

值 pos which was passed to the search() or match() 方法对于 regex object . This is the index into the string at which the RE engine started looking for a match.

Match. endpos ¶

值 endpos which was passed to the search() or match() 方法对于 regex object . This is the index into the string beyond which the RE engine will not go.

Match. lastindex ¶

The integer index of the last matched capturing group, or None if no group was matched at all. For example, the expressions (a)b , ((a)(b)) ，和 ((ab)) will have lastindex == 1 if applied to the string 'ab' , while the expression (a)(b) will have lastindex == 2 , if applied to the same string.

Match. lastgroup ¶

The name of the last matched capturing group, or None if the group didn’t have a name, or if no group was matched at all.

Match. re ¶

正则表达式对象 whose match() or search() method produced this match instance.

Match. string ¶

字符串，被传递给 match() or search() .

3.7 版改变： 添加支持 copy.copy() and copy.deepcopy() 。Match 对象被认为是原子。

正则表达式范例 ¶

校验对 ¶

In this example, we’ll use the following helper function to display match objects a little more gracefully:

def displaymatch(match):
    if match is None:
        return None
    return '<Match: %r, groups=%r>' % (match.group(), match.groups())

Suppose you are writing a poker program where a player’s hand is represented as a 5-character string with each character representing a card, “a” for ace, “k” for king, “q” for queen, “j” for jack, “t” for 10, and “2” through “9” representing the card with that value.

To see if a given string is a valid hand, one could do the following:

>>> valid = re.compile(r"^[a2-9tjqk]{5}$")
>>> displaymatch(valid.match("akt5q"))  # Valid.
"<Match: 'akt5q', groups=()>"
>>> displaymatch(valid.match("akt5e"))  # Invalid.
>>> displaymatch(valid.match("akt"))    # Invalid.
>>> displaymatch(valid.match("727ak"))  # Valid.
"<Match: '727ak', groups=()>"

That last hand, "727ak" , contained a pair, or two of the same valued cards. To match this with a regular expression, one could use backreferences as such:

>>> pair = re.compile(r".*(.).*\1")
>>> displaymatch(pair.match("717ak"))     # Pair of 7s.
"<Match: '717', groups=('7',)>"
>>> displaymatch(pair.match("718ak"))     # No pairs.
>>> displaymatch(pair.match("354aa"))     # Pair of aces.
"<Match: '354aa', groups=('a',)>"

To find out what card the pair consists of, one could use the group() method of the match object in the following manner:

>>> pair = re.compile(r".*(.).*\1")
>>> pair.match("717ak").group(1)
'7'
# Error because re.match() returns None, which doesn't have a group() method:
>>> pair.match("718ak").group(1)
Traceback (most recent call last):
  File "<pyshell#23>", line 1, in <module>
    re.match(r".*(.).*\1", "718ak").group(1)
AttributeError: 'NoneType' object has no attribute 'group'
>>> pair.match("354aa").group(1)
'a'

模拟 scanf() ¶

Python does not currently have an equivalent to scanf() . Regular expressions are generally more powerful, though also more verbose, than scanf() format strings. The table below offers some more-or-less equivalent mappings between scanf() format tokens and regular expressions.

scanf() 令牌	正则表达式
%c	.
%5c	.{5}
%d	[-+]?\d+
%e , %E , %f , %g	[-+]?(\d+(\.\d*)?|\.\d+)([eE][-+]?\d+)?
%i	[-+]?(0[xX][\dA-Fa-f]+|0[0-7]*|\d+)
%o	[-+]?[0-7]+
%s	\S+
%u	\d+
%x , %X	[-+]?(0[xX])?[\dA-Fa-f]+

To extract the filename and numbers from a string like

/usr/sbin/sendmail - 0 errors, 4 warnings

you would use a scanf() format like

%s - %d errors, %d warnings

The equivalent regular expression would be

(\S+) - (\d+) errors, (\d+) warnings

search() vs. match() ¶

Python offers two different primitive operations based on regular expressions: re.match() checks for a match only at the beginning of the string, while re.search() checks for a match anywhere in the string (this is what Perl does by default).

例如：

>>> re.match("c", "abcdef")    # No match
>>> re.search("c", "abcdef")   # Match
<re.Match object; span=(2, 3), match='c'>

Regular expressions beginning with '^' 可以使用 search() to restrict the match at the beginning of the string:

>>> re.match("c", "abcdef")    # No match
>>> re.search("^c", "abcdef")  # No match
>>> re.search("^a", "abcdef")  # Match
<re.Match object; span=(0, 1), match='a'>

Note however that in MULTILINE mode match() only matches at the beginning of the string, whereas using search() with a regular expression beginning with '^' will match at the beginning of each line.

>>> re.match('X', 'A\nB\nX', re.MULTILINE)  # No match
>>> re.search('^X', 'A\nB\nX', re.MULTILINE)  # Match
<re.Match object; span=(4, 5), match='X'>

制作电话簿 ¶

split() splits a string into a list delimited by the passed pattern. The method is invaluable for converting textual data into data structures that can be easily read and modified by Python as demonstrated in the following example that creates a phonebook.

First, here is the input. Normally it may come from a file, here we are using triple-quoted string syntax

>>> text = """Ross McFluff: 834.345.1254 155 Elm Street
...
... Ronald Heathmore: 892.345.3428 436 Finley Avenue
... Frank Burger: 925.541.7625 662 South Dogwood Way
...
...
... Heather Albrecht: 548.326.4584 919 Park Place"""

The entries are separated by one or more newlines. Now we convert the string into a list with each nonempty line having its own entry:

>>> entries = re.split("\n+", text)
>>> entries
['Ross McFluff: 834.345.1254 155 Elm Street',
'Ronald Heathmore: 892.345.3428 436 Finley Avenue',
'Frank Burger: 925.541.7625 662 South Dogwood Way',
'Heather Albrecht: 548.326.4584 919 Park Place']

Finally, split each entry into a list with first name, last name, telephone number, and address. We use the maxsplit 参数对于 split() because the address has spaces, our splitting pattern, in it:

>>> [re.split(":? ", entry, 3) for entry in entries]
[['Ross', 'McFluff', '834.345.1254', '155 Elm Street'],
['Ronald', 'Heathmore', '892.345.3428', '436 Finley Avenue'],
['Frank', 'Burger', '925.541.7625', '662 South Dogwood Way'],
['Heather', 'Albrecht', '548.326.4584', '919 Park Place']]

:? pattern matches the colon after the last name, so that it does not occur in the result list. With a maxsplit of 4 , we could separate the house number from the street name:

>>> [re.split(":? ", entry, 4) for entry in entries]
[['Ross', 'McFluff', '834.345.1254', '155', 'Elm Street'],
['Ronald', 'Heathmore', '892.345.3428', '436', 'Finley Avenue'],
['Frank', 'Burger', '925.541.7625', '662', 'South Dogwood Way'],
['Heather', 'Albrecht', '548.326.4584', '919', 'Park Place']]

文本处理 ¶

sub() replaces every occurrence of a pattern with a string or the result of a function. This example demonstrates using sub() with a function to “munge” text, or randomize the order of all the characters in each word of a sentence except for the first and last characters:

>>> def repl(m):
...     inner_word = list(m.group(2))
...     random.shuffle(inner_word)
...     return m.group(1) + "".join(inner_word) + m.group(3)
>>> text = "Professor Abdolmalek, please report your absences promptly."
>>> re.sub(r"(\w)(\w+)(\w)", repl, text)
'Poefsrosr Aealmlobdk, pslaee reorpt your abnseces plmrptoy.'
>>> re.sub(r"(\w)(\w+)(\w)", repl, text)
'Pofsroser Aodlambelk, plasee reoprt yuor asnebces potlmrpy.'

查找所有副词 ¶

findall() 匹配 all occurrences of a pattern, not just the first one as search() does. For example, if a writer wanted to find all of the adverbs in some text, they might use findall() in the following manner:

>>> text = "He was carefully disguised but captured quickly by police."
>>> re.findall(r"\w+ly\b", text)
['carefully', 'quickly']

查找所有副词及其位置 ¶

If one wants more information about all matches of a pattern than the matched text, finditer() is useful as it provides 匹配对象 instead of strings. Continuing with the previous example, if a writer wanted to find all of the adverbs and their positions in some text, they would use finditer() in the following manner:

>>> text = "He was carefully disguised but captured quickly by police."
>>> for m in re.finditer(r"\w+ly\b", text):
...     print('%02d-%02d: %s' % (m.start(), m.end(), m.group(0)))
07-16: carefully
40-47: quickly

原生字符串表示法 ¶

原生字符串表示法 ( r"text" ) keeps regular expressions sane. Without it, every backslash ( '\' ) in a regular expression would have to be prefixed with another one to escape it. For example, the two following lines of code are functionally identical:

>>> re.match(r"\W(.)\1\W", " ff ")
<re.Match object; span=(0, 4), match=' ff '>
>>> re.match("\\W(.)\\1\\W", " ff ")
<re.Match object; span=(0, 4), match=' ff '>

When one wants to match a literal backslash, it must be escaped in the regular expression. With raw string notation, this means r"\\" . Without raw string notation, one must use "\\\\" , making the following lines of code functionally identical:

>>> re.match(r"\\", r"\\")
<re.Match object; span=(0, 1), match='\\'>
>>> re.match("\\\\", r"\\")
<re.Match object; span=(0, 1), match='\\'>

编写令牌化器 ¶

A 令牌化器或扫描器 analyzes a string to categorize groups of characters. This is a useful first step in writing a compiler or interpreter.

The text categories are specified with regular expressions. The technique is to combine those into a single master regular expression and to loop over successive matches:

from typing import NamedTuple
import re
class Token(NamedTuple):
    type: str
    value: str
    line: int
    column: int
def tokenize(code):
    keywords = {'IF', 'THEN', 'ENDIF', 'FOR', 'NEXT', 'GOSUB', 'RETURN'}
    token_specification = [
        ('NUMBER',   r'\d+(\.\d*)?'),  # Integer or decimal number
        ('ASSIGN',   r':='),           # Assignment operator
        ('END',      r';'),            # Statement terminator
        ('ID',       r'[A-Za-z]+'),    # Identifiers
        ('OP',       r'[+\-*/]'),      # Arithmetic operators
        ('NEWLINE',  r'\n'),           # Line endings
        ('SKIP',     r'[ \t]+'),       # Skip over spaces and tabs
        ('MISMATCH', r'.'),            # Any other character
    ]
    tok_regex = '|'.join('(?P<%s>%s)' % pair for pair in token_specification)
    line_num = 1
    line_start = 0
    for mo in re.finditer(tok_regex, code):
        kind = mo.lastgroup
        value = mo.group()
        column = mo.start() - line_start
        if kind == 'NUMBER':
            value = float(value) if '.' in value else int(value)
        elif kind == 'ID' and value in keywords:
            kind = value
        elif kind == 'NEWLINE':
            line_start = mo.end()
            line_num += 1
            continue
        elif kind == 'SKIP':
            continue
        elif kind == 'MISMATCH':
            raise RuntimeError(f'{value!r} unexpected on line {line_num}')
        yield Token(kind, value, line_num, column)
statements = '''
    IF quantity THEN
        total := total + price * quantity;
        tax := price * 0.05;
    ENDIF;
'''
for token in tokenize(statements):
    print(token)

The tokenizer produces the following output:

Token(type='IF', value='IF', line=2, column=4)
Token(type='ID', value='quantity', line=2, column=7)
Token(type='THEN', value='THEN', line=2, column=16)
Token(type='ID', value='total', line=3, column=8)
Token(type='ASSIGN', value=':=', line=3, column=14)
Token(type='ID', value='total', line=3, column=17)
Token(type='OP', value='+', line=3, column=23)
Token(type='ID', value='price', line=3, column=25)
Token(type='OP', value='*', line=3, column=31)
Token(type='ID', value='quantity', line=3, column=33)
Token(type='END', value=';', line=3, column=41)
Token(type='ID', value='tax', line=4, column=8)
Token(type='ASSIGN', value=':=', line=4, column=12)
Token(type='ID', value='price', line=4, column=15)
Token(type='OP', value='*', line=4, column=21)
Token(type='NUMBER', value=0.05, line=4, column=23)
Token(type='END', value=';', line=4, column=27)
Token(type='ENDIF', value='ENDIF', line=5, column=4)
Token(type='END', value=';', line=5, column=9)

Frie09

Friedl, Jeffrey. Mastering Regular Expressions. 3rd ed., O’Reilly Media, 2009. The third edition of the book no longer covers Python at all, but the first edition covered writing good regular expression patterns in great detail.

内容表

• re — 正则表达式运算
  • 正则表达式语法
  • 模块内容
    • Flags
    • 函数
    • 异常
  • 正则表达式对象
  • Match 对象
  • 正则表达式范例
    • 校验对
    • 模拟 scanf()
    • search() vs. match()
    • 制作电话簿
    • 文本处理
    • 查找所有副词
    • 查找所有副词及其位置
    • 原生字符串表示法
    • 编写令牌化器

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