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 |
---|---|---|
|
|
False |
|
True |
|
|
True |
|
|
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? |
---|---|---|
|
|
1 match |
|
2 matches |
|
|
No match |
|
|
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? |
---|---|---|
|
|
No match |
|
1 match |
|
|
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? |
---|---|---|
|
|
1 match |
|
1 match |
|
|
No match |
|
|
|
1 match |
|
No match (starts with |
$
- Dollar¶
The dollar symbol $
is used to check if a string ends with a certain character.
Pattern or Expression |
String |
Matched? |
---|---|---|
|
|
1 match |
|
1 match |
|
|
No match |
*
- Star¶
The star symbol *
matches zero or more occurrences of the pattern left to it.
Pattern or Expression |
String |
Matched? |
---|---|---|
|
|
1 match |
|
1 match |
|
|
1 match |
|
|
No match ( |
|
|
1 match |
+
- Plus¶
The plus symbol +
matches one or more occurrences of the pattern left to it.
Pattern or Expression |
String |
Matched? |
---|---|---|
|
|
No match (no |
|
1 match |
|
|
1 match |
|
|
No match (a is not followed by n) |
|
|
1 match |
?
- Question Mark¶
The question mark symbol ?
matches zero or one occurrence of the pattern left to it.
Pattern or Expression |
String |
Matched? |
---|---|---|
|
|
1 match |
|
1 match |
|
|
No match (more than one |
|
|
No match (more than one |
|
|
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? |
---|---|---|
|
|
No match |
|
1 match (at |
|
|
2 matches (at |
|
|
2 matches (at |
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? |
---|---|---|
|
|
1 match (match at |
|
2 matches (at |
|
|
No match |
|
- Alternation¶
Vertical bar |
is used for alternation (or
operator).
Pattern or Expression |
String |
Matched? |
---|---|---|
|
|
No match |
|
1 match (match at |
|
|
3 matches (at |
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? |
---|---|---|
|
|
No match |
|
1 match (match at |
|
|
2 matches (at |
\
- 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? |
---|---|---|
|
|
Match |
|
No match |
\b
- Matches if the specified characters are at the beginning or end of a word.
Pattern or Expression |
String |
Matched? |
---|---|---|
|
|
Match |
|
Match |
|
|
No match |
|
|
|
Match |
|
Match |
|
|
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? |
---|---|---|
|
|
No match |
|
No match |
|
|
Match |
|
|
|
No match |
|
No match |
|
|
Match |
\d
- Matches any decimal digit. Equivalent to [0-9]
Pattern or Expression |
String |
Matched? |
---|---|---|
|
|
3 matches (at |
|
No match |
\D
- Matches any non-decimal digit. Equivalent to `[^0-9]
Pattern or Expression |
String |
Matched? |
---|---|---|
|
|
3 matches (at |
|
No match |
\s
- Matches where a string contains any whitespace character. Equivalent to [ \t\n\r\f\v]
.
Pattern or Expression |
String |
Matched? |
---|---|---|
|
|
1 match |
|
No match |
\S
- Matches where a string contains any non-whitespace character. Equivalent to [^ \t\n\r\f\v]
.
Pattern or Expression |
String |
Matched? |
---|---|---|
|
|
2 matches (at |
|
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? |
---|---|---|
|
|
3 matches (at |
|
No match |
\W
- Matches any non-alphanumeric character. Equivalent to `[^a-zA-Z0-9_]
Pattern or Expression |
String |
Matched? |
---|---|---|
|
|
1 match (at |
|
No match |
\Z
- Matches if the specified characters are at the end of a string.
Pattern or Expression |
String |
Matched? |
---|---|---|
|
|
1 match |
|
No match |
|
|
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)
re.search()¶
The re.search()
method takes two arguments: a pattern and a string. The method looks for the first location where the RegEx pattern produces a match with the string.
If the search is successful, re.search()
returns a match object; if not, it returns None
.
match = re.search(pattern, str)
import re
string = "Python is fun"
# check if 'Python' is at the beginning
match = re.search('\APython', string)
if match:
print("pattern found inside the string")
else:
print("pattern not found")
# Output: pattern found inside the string
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