Regular Expressions

Regular expressions are a powerful language for matching text patterns. This tutorial gives a basic introduction to regular expressions themselves sufficient for our Python exercises and shows how regular expressions work in Python. The Python “re” module provides regular expression support.

In Python a regular expression search is typically written as:

  match = re.search(pattern, string)

The re.search() method takes a regular expression pattern and a string and searches for that pattern within the string. If the search is successful, search() returns a match object or None otherwise.

A Regular Expression (RegEx) is a sequence of characters that defines a search pattern.

^a...s$

The above pattern is:

any five letter string starting with a and ending with s

Pattern or Expression

String

Match

^a...s$

abs

False

alias

True

abyss

True

A alias

False

Following example searches for the pattern ‘word:’ followed by a 3 letter word

import re

test_string = 'an example word:cat!!'
match = re.search(r'word:\w\w\w', string)

# If-statement after search() tests if it succeeded
if match:
  print('found')
else:
  print('did not find')
  
# Output: did not find

Another example:

import re

pattern = '^a...s$'
test_string = 'abyss'
match = re.match(pattern, test_string)

# If-statement after search() tests if it succeeded
if match:
  print('found')
else:
  print('did not find')
  
# Output: found

Specifying Patterns

To specify regular expressions, metacharacters are used. In the above example, ^ and $ are metacharacters

Metacharacters

Metacharacters are characters that are interpreted in a special way by a RegEx engine. Some of the metacharacters are:

**[] . ^ $ + ? {} () **

[] - Square brackets

Square brackets specifies a set of characters you wish to match.

Pattern or Expression

String

Matched?

[abc]

a

1 match

ac

2 matches

Hey Jude

No match

abc de ca

5 matches

Here, [abc] will match if the string you are trying to match contains any of the a, b or c.

You can also specify a range of characters using - inside square brackets.

  • [a-e] is the same as [abcde].

  • [1-4] is the same as [1234].

  • [0-39] is the same as [01239].

You can complement (invert) the character set by using caret ^ symbol at the start of a square-bracket.

  • [^abc] means any character except a or b or c.

  • [^0-9] means any non-digit character.

. - Period

A period matches any single character (except newline '\n').

Pattern or Expression

String

Matched?

..

a

No match

ac

1 match

acd

1 match

2 matches (contains 4 characters)

^ - Caret

The caret symbol ^ is used to check if a string starts with a certain character.

Pattern or Expression

String

Matched?

^a

a

1 match

abc

1 match

bac

No match

^ab

abc

1 match

acb

No match (starts with a but not followed by b)

$ - Dollar

The dollar symbol $ is used to check if a string ends with a certain character.

Pattern or Expression

String

Matched?

a$

a

1 match

formula

1 match

cab

No match

* - Star

The star symbol * matches zero or more occurrences of the pattern left to it.

Pattern or Expression

String

Matched?

ma*n

mn

1 match

man

1 match

maaan

1 match

main

No match (a is not followed by n)

woman

1 match

+ - Plus

The plus symbol + matches one or more occurrences of the pattern left to it.

Pattern or Expression

String

Matched?

ma+n

mn

No match (no a character)

man

1 match

maaan

1 match

main

No match (a is not followed by n)

woman

1 match

? - Question Mark

The question mark symbol ? matches zero or one occurrence of the pattern left to it.

Pattern or Expression

String

Matched?

ma?n

mn

1 match

man

1 match

maaan

No match (more than one a character)

maaan

No match (more than one a character)

woman

1 match

{} - Braces

Consider this code: {n,m}. This means at least n, and at most m repetitions of the pattern left to it.

Pattern or Expression

String

Matched?

a{2,3}

abc dat

No match

abc daat

1 match (at daat)

aabc daaat

2 matches (at aabc and daaat)

aabc daaaat

2 matches (at aabc and daaaat)

Let’s try one more example. This RegEx [0-9]{2, 4} matches at least 2 digits but not more than 4 digits

Pattern or Expression

String

Matched?

[0-9]{2,4}

ab123csde

1 match (match at ab123csde)

12 and 345673

2 matches (at 12 and 345673)

1 and 2

No match

| - Alternation

Vertical bar | is used for alternation (or operator).

Pattern or Expression

String

Matched?

a|b

cde

No match

ade

1 match (match at ade)

acdbea

3 matches (at acdbea)

Here, a|b match any string that contains either a or b

() - Group

Parentheses () is used to group sub-patterns. For example, (a|b|c)xz match any string that matches either a or b or c followed by xz

Pattern or Expression

String

Matched?

(a|b|c)xz

ab xz

No match

abxz

1 match (match at abxz)

axz cabxz

2 matches (at axzbc cabxz)

\ - Backslash

Backlash \ is used to escape various characters including all metacharacters. For example,

\$a match if a string contains $ followed by a. Here, $ is not interpreted by a RegEx engine in a special way.

If you are unsure if a character has special meaning or not, you can put \ in front of it. This makes sure the character is not treated in a special way.

Special Sequences

Special sequences make commonly used patterns easier to write. Here’s a list of special sequences:

\A - Matches if the specified characters are at the start of a string.

Pattern or Expression

String

Matched?

\Athe

the sun

Match

In the sun

No match

\b - Matches if the specified characters are at the beginning or end of a word.

Pattern or Expression

String

Matched?

\bfoo

football

Match

a football

Match

afootball

No match

foo\b

the foo

Match

the afoo test

Match

the afootest

No match

\B - Opposite of \b. Matches if the specified characters are not at the beginning or end of a word.

Pattern or Expression

String

Matched?

\Bfoo

football

No match

a football

No match

afootball

Match

foo\B

the foo

No match

the afoo test

No match

the afootest

Match

\d - Matches any decimal digit. Equivalent to [0-9]

Pattern or Expression

String

Matched?

\d

12abc3

3 matches (at 12abc3)

Python

No match

\D - Matches any non-decimal digit. Equivalent to `[^0-9]

Pattern or Expression

String

Matched?

\D

1ab34"50

3 matches (at 1ab34"50)

1345

No match

\s - Matches where a string contains any whitespace character. Equivalent to [ \t\n\r\f\v].

Pattern or Expression

String

Matched?

\s

Python RegEx

1 match

PythonRegEx

No match

\S - Matches where a string contains any non-whitespace character. Equivalent to [^ \t\n\r\f\v].

Pattern or Expression

String

Matched?

\S

a b

2 matches (at a b)

   

No match

\w - Matches any alphanumeric character (digits and alphabets). Equivalent to [a-zA-Z0-9_]. By the way, underscore _ is also considered an alphanumeric character.

Pattern or Expression

String

Matched?

\w

12&": ;c

3 matches (at 12&": ;c)

%"> !

No match

\W - Matches any non-alphanumeric character. Equivalent to `[^a-zA-Z0-9_]

Pattern or Expression

String

Matched?

\W

1a2%c

1 match (at 1a2%c)

Python

No match

\Z - Matches if the specified characters are at the end of a string.

Pattern or Expression

String

Matched?

\ZPython

I like Python

1 match

I like Python

No match

Python is fun.

No match

Tip: To build and test regular expressions, you can use RegEx tester tools such as regex101. This tool not only helps you in creating regular expressions, but it also helps you learn it.

Now you understand the basics of RegEx, let’s discuss how to use RegEx in your Python code.

RegEx Methods

re.findall()

The re.findall() method returns a list of strings containing all matches.

# Program to extract numbers from a string

import re

string = 'hello 12 hi 89. Howdy 34'
pattern = '\d+'

result = re.findall(pattern, string) 
print(result)

# Output: ['12', '89', '34']

re.split()

The re.split method splits the string where there is a match and returns a list of strings where the splits have occurred.

import re

string = 'Twelve:12 Eighty nine:89.'
pattern = '\d+'

result = re.split(pattern, string) 
print(result)

# Output: ['Twelve:', ' Eighty nine:', '.']

You can pass maxsplit argument to the re.split() method. It’s the maximum number of splits that will occur.

import re

string = 'Twelve:12 Eighty nine:89 Nine:9.'
pattern = '\d+'

# maxsplit = 1
# split only at the first occurrence
result = re.split(pattern, string, 1) 
print(result)

# Output: ['Twelve:', ' Eighty nine:89 Nine:9.']

re.sub()

The syntax of re.sub() is:

re.sub(pattern, replace, string)

The method returns a string where matched occurrences are replaced with the content of replace variable.

# Program to remove all whitespaces
import re

# multiline string
string = 'abc 12\
de 23 \n f45 6'

# matches all whitespace characters
pattern = '\s+'

# empty string
replace = ''

new_string = re.sub(pattern, replace, string) 
print(new_string)

# Output: abc12de23f456

re.subn()

The re.subn() is similar to re.sub() expect it returns a tuple of 2 items containing the new string and the number of substitutions made.

# Program to remove all whitespaces
import re

# multiline string
string = 'abc 12\
de 23 \n f45 6'

# matches all whitespace characters
pattern = '\s+'

# empty string
replace = ''

new_string = re.subn(pattern, replace, string) 
print(new_string)

# Output: ('abc12de23f456', 4)

Match Object

A Match Object is an object containing information about the search and the result. If there is no match, the value None will be returned, instead of the Match Object.

match.group()

The group() method returns the part of the string where there is a match.

import re

string = '39801 356, 2102 1111'

# Three digit number followed by space followed by two digit number
pattern = '(\d{3}) (\d{2})'

# match variable contains a Match object.
match = re.search(pattern, string) 

if match:
  print(match.group())
else:
  print("pattern not found")

# Output: 801 35

Here, match variable contains a match object.

Our pattern (\d{3}) (\d{2}) has two subgroups (\d{3}) and (\d{2}). You can get the part of the string of these parenthesized subgroups. Here’s how:

>>> match.group(1)
'801'

>>> match.group(2)
'35'
>>> match.group(1, 2)
('801', '35')

>>> match.groups()
('801', '35')

match.start(), match.end() and match.span()

The start() function returns the index of the start of the matched substring. Similarly, end() returns the end index of the matched substring.

>>> match.start()
2
>>> match.end()
8

The span() function returns a tuple containing start and end index of the matched part.

>>> match.span()
(2, 8)

match.re and match.string

The re attribute of a matched object returns a regular expression object. Similarly, string attribute returns the passed string.

>>> match.re
re.compile('(\\d{3}) (\\d{2})')

>>> match.string
'39801 356, 2102 1111'

Exercises

  • Check that a string contains only a certain set of characters (in this case a-z, A-Z and 0-9)

  • Match a string that has an a followed by zero or more b -> NOW

  • Match a string that has an a followed by 1 or more b -> NOW

  • Match a string that has an a followed by zero or one b -> NOW

  • Match a string that has an a followed by three b

  • Match a string that has an a followed by two to three b -> NOW

  • Match a string that has an ‘a’ followed by anything, ending in b -> NOW

  • Match a word at the beginning of a string

  • Match a word containing ‘z’, not at the start or end of the word

  • Check for a number at the end of a string

  • Find the occurrence and position of the substrings within a string.

  • Convert a date of yyyy-mm-dd format to dd-mm-yyyy format

  • Find all words starting with ‘a’ or ‘e’ in a given string -> NOW

  • Convert camel case string to snake case string

  • Remove all whitespaces from a string

  • Find urls in a string