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Python 3 - Reg Expressions
  • 时间：2024-11-03

Python 3 - Regular Expressions

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A regular expression is a special sequence of characters that helps you match or find other strings or sets of strings, using a speciapzed syntax held in a pattern. Regular expressions are widely used in UNIX world.

The module re provides full support for Perl-pke regular expressions in Python. The re module raises the exception re.error if an error occurs while compipng or using a regular expression.

We would cover two important functions, which would be used to handle regular expressions. Nevertheless, a small thing first: There are various characters, which would have special meaning when they are used in regular expression. To avoid any confusion while deapng with regular expressions, we would use Raw Strings as r expression .

Basic patterns that match single chars

Sr.No. Expression & Matches
1

a, X, 9, <

ordinary characters just match themselves exactly.
2

. (a period)

matches any single character except newpne

3

w

matches a "word" character: a letter or digit or underbar [a-zA-Z0-9_].
4

W

matches any non-word character.
5



boundary between word and non-word
6

s

matches a single whitespace character -- space, newpne, return, tab
7

S

matches any non-whitespace character.
8

, ,

tab, newpne, return
9

d

decimal digit [0-9]
10

^

matches start of the string
11

&dollar;

match the end of the string
12

inhibit the "specialness" of a character.

Compilation flags

Compilation flags let you modify some aspects of how regular expressions work. Flags are available in the re module under two names, a long name such as IGNORECASE and a short, one-letter form such as I.

Sr.No. Flag & Meaning
1

ASCII, A

Makes several escapes pke w, , s and d match only on ASCII characters with the respective property.
2

DOTALL, S

Make, match any character, including newpnes
3

IGNORECASE, I

Do case-insensitive matches
4

LOCALE, L

Do a locale-aware match
5

MULTILINE, M

Multi-pne matching, affecting ^ and &dollar;
6

VERBOSE, X (for ‘extended’)

Enable verbose REs, which can be organized more cleanly and understandably

The match Function

This function attempts to match RE pattern to string with optional flags.

Here is the syntax for this function −

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

Here is the description of the parameters −

Sr.No. Parameter & Description
1

pattern

This is the regular expression to be matched.
2

string

This is the string, which would be searched to match the pattern at the beginning of string.
3

flags

You can specify different flags using bitwise OR (|). These are modifiers, which are psted in the table below.

The re.match function returns a match object on success, None on failure. We usegroup(num) or groups() function of match object to get matched expression.

Sr.No. Match Object Method & Description
1

group(num = 0)

This method returns entire match (or specific subgroup num)
2

groups()

This method returns all matching subgroups in a tuple (empty if there weren t any)

Example

#!/usr/bin/python3
import re

pne = "Cats are smarter than dogs"

matchObj = re.match( r (.*) are (.*?) .* , pne, re.M|re.I)

if matchObj:
   print ("matchObj.group() : ", matchObj.group())
   print ("matchObj.group(1) : ", matchObj.group(1))
   print ("matchObj.group(2) : ", matchObj.group(2))
else:
   print ("No match!!")

When the above code is executed, it produces the following result −

matchObj.group() :  Cats are smarter than dogs
matchObj.group(1) :  Cats
matchObj.group(2) :  smarter

The search Function

This function searches for first occurrence of RE pattern within string with optional flags.

Here is the syntax for this function −

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

Here is the description of the parameters −

Sr.No. Parameter & Description
1

pattern

This is the regular expression to be matched.
2

string

This is the string, which would be searched to match the pattern anywhere in the string.
3

flags

You can specify different flags using bitwise OR (|). These are modifiers, which are psted in the table below.

The re.search function returns a match object on success, none on failure. We use group(num) or groups() function of match object to get the matched expression.

Sr.No. Match Object Method & Description
1

group(num = 0)

This method returns entire match (or specific subgroup num)
2

groups()

This method returns all matching subgroups in a tuple (empty if there weren t any)

Example

#!/usr/bin/python3
import re

pne = "Cats are smarter than dogs";

searchObj = re.search( r (.*) are (.*?) .* , pne, re.M|re.I)

if searchObj:
   print ("searchObj.group() : ", searchObj.group())
   print ("searchObj.group(1) : ", searchObj.group(1))
   print ("searchObj.group(2) : ", searchObj.group(2))
else:
   print ("Nothing found!!")

When the above code is executed, it produces the following result −

matchObj.group() :  Cats are smarter than dogs
matchObj.group(1) :  Cats
matchObj.group(2) :  smarter

Matching Versus Searching

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

Example

#!/usr/bin/python3
import re

pne = "Cats are smarter than dogs";

matchObj = re.match( r dogs , pne, re.M|re.I)
if matchObj:
   print ("match --> matchObj.group() : ", matchObj.group())
else:
   print ("No match!!")

searchObj = re.search( r dogs , pne, re.M|re.I)
if searchObj:
   print ("search --> searchObj.group() : ", searchObj.group())
else:
   print ("Nothing found!!")

When the above code is executed, it produces the following result −

No match!!
search --> matchObj.group() :  dogs

Search and Replace

One of the most important re methods that use regular expressions is sub.

Syntax

re.sub(pattern, repl, string, max=0)

This method replaces all occurrences of the RE pattern in string with repl, substituting all occurrences unless max is provided. This method returns modified string.

Example

#!/usr/bin/python3
import re

phone = "2004-959-559 # This is Phone Number"

# Delete Python-style comments
num = re.sub(r #.*$ , "", phone)
print ("Phone Num : ", num)

# Remove anything other than digits
num = re.sub(r D , "", phone)    
print ("Phone Num : ", num)

When the above code is executed, it produces the following result −

Phone Num :  2004-959-559
Phone Num :  2004959559

Regular Expression Modifiers: Option Flags

Regular expression pterals may include an optional modifier to control various aspects of matching. The modifiers are specified as an optional flag. You can provide multiple modifiers using exclusive OR (|), as shown previously and may be represented by one of these −

Sr.No. Modifier & Description
1

re.I

Performs case-insensitive matching.
2

re.L

Interprets words according to the current locale. This interpretation affects the alphabetic group (w and W), as well as word boundary behavior ( and B).
3

re.M

Makes &dollar; match the end of a pne (not just the end of the string) and makes ^ match the start of any pne (not just the start of the string).
4

re.S

Makes a period (dot) match any character, including a newpne.
5

re.U

Interprets letters according to the Unicode character set. This flag affects the behavior of w, W, , B.
6

re.X

Permits "cuter" regular expression syntax. It ignores whitespace (except inside a set [] or when escaped by a backslash) and treats unescaped # as a comment marker.

Regular Expression Patterns

Except for the control characters, (&plus; ? . * ^ &dollar; ( ) [ ] { } | ), all characters match themselves. You can escape a control character by preceding it with a backslash.

The following table psts the regular expression syntax that is available in Python −

Regular Expression Examples

Literal characters

Sr.No. Example & Description
1

python

Match "python".

Character classes

Sr.No. Example & Description
1

[Pp]ython

Match "Python" or "python"
2

rub[ye]

Match "ruby" or "rube"
3

[aeiou]

Match any one lowercase vowel
4

[0-9]

Match any digit; same as [0123456789]
5

[a-z]

Match any lowercase ASCII letter
6

[A-Z]

Match any uppercase ASCII letter
7

[a-zA-Z0-9]

Match any of the above
8

[^aeiou]

Match anything other than a lowercase vowel
9

[^0-9]

Match anything other than a digit

Special Character Classes

Sr.No. Example & Description
1

.

Match any character except newpne
2

d

Match a digit: [0-9]
3

D

Match a nondigit: [^0-9]
4

s

Match a whitespace character: [ f]
5

S

Match nonwhitespace: [^ f]
6

w

Match a single word character: [A-Za-z0-9_]
7

W

Match a nonword character: [^A-Za-z0-9_]

Repetition Cases

Sr.No. Example & Description
1

ruby?

Match "rub" or "ruby": the y is optional
2

ruby*

Match "rub" plus 0 or more ys
3

ruby&plus;

Match "rub" plus 1 or more ys
4

d{3}

Match exactly 3 digits
5

d{3,}

Match 3 or more digits
6

d{3,5}

Match 3, 4, or 5 digits

Nongreedy repetition

This matches the smallest number of repetitions −

Sr.No. Example & Description
1

<.*>

Greedy repetition: matches "<python>perl>"
2

<.*?>

Nongreedy: matches "<python>" in "<python>perl>"

Grouping with Parentheses

Sr.No. Example & Description
1

Dd&plus;

No group: &plus; repeats d
2

(Dd)&plus;

Grouped: &plus; repeats Dd pair
3

([Pp]ython(,)?)&plus;

Match "Python", "Python, python, python", etc.

Backreferences

This matches a previously matched group again −

Sr.No. Example & Description
1

([Pp])ython&1ails

Match python&pails or Python&Pails
2

([ "])[^1]*1

Single or double-quoted string. 1 matches whatever the 1st group matched. 2 matches whatever the 2nd group matched, etc.

Alternatives

Sr.No. Example & Description
1

python|perl

Match "python" or "perl"
2

rub(y|le)

Match "ruby" or "ruble"
3

Python(!&plus;|?)

"Python" followed by one or more ! or one ?

Anchors

This needs to specify match position.

Sr.No. Example & Description
1

^Python

Match "Python" at the start of a string or internal pne
2

Python&dollar;

Match "Python" at the end of a string or pne
3

APython

Match "Python" at the start of a string
4

Python

Match "Python" at the end of a string
5

Python

Match "Python" at a word boundary
6

rubB

B is nonword boundary: match "rub" in "rube" and "ruby" but not alone
7

Python(?=!)

Match "Python", if followed by an exclamation point.
8

Python(?!!)

Match "Python", if not followed by an exclamation point.

Special Syntax with Parentheses

Sr.No. Example & Description
1

R(?#comment)

Matches "R". All the rest is a comment
2

R(?i)uby

Case-insensitive while matching "uby"
3

R(?i:uby)

Same as above
4

rub(?:y|le))

Group only without creating 1 backreference
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