Dalam tutorial ini, Anda akan belajar tentang ekspresi reguler (RegEx), dan menggunakan modul re Python untuk bekerja dengan RegEx (dengan bantuan contoh).
Sebuah Re gular Ex pression (regex) adalah urutan karakter yang mendefinisikan pola pencarian. Sebagai contoh,
^a… s$
Kode di atas mendefinisikan pola RegEx. Polanya adalah: string lima huruf apa pun yang dimulai dengan a dan diakhiri dengan s .
Pola yang ditentukan menggunakan RegEx dapat digunakan untuk mencocokkan dengan string.
| Ekspresi | Tali | Cocok? |
|---|---|---|
^a… s$ | abs | Tidak ada yang cocok |
alias | Pertandingan | |
abyss | Pertandingan | |
Alias | Tidak ada yang cocok | |
An abacus | Tidak ada yang cocok |
Python memiliki modul yang diberi nama reuntuk bekerja dengan RegEx. Berikut contohnya:
import re pattern = '^a… s$' test_string = 'abyss' result = re.match(pattern, test_string) if result: print("Search successful.") else: print("Search unsuccessful.")
Di sini, kami menggunakan re.match()fungsi untuk mencari pola dalam test_string. Metode mengembalikan objek yang cocok jika pencarian berhasil. Jika tidak, itu akan kembali None.
Ada beberapa fungsi lain yang ditentukan dalam modul re untuk bekerja dengan RegEx. Sebelum kita menjelajahinya, mari pelajari tentang ekspresi reguler itu sendiri.
Jika Anda sudah mengetahui dasar-dasar RegEx, lompat ke Python RegEx.
Tentukan Pola Menggunakan RegEx
Untuk menentukan ekspresi reguler, metakarakter digunakan. Dalam contoh di atas, ^dan $adalah karakter meta.
Karakter Meta
Metakarakter adalah karakter yang diinterpretasikan secara khusus oleh mesin RegEx. Berikut daftar karakter meta:
(). $ * +? () () |
() - Tanda kurung siku
Tanda kurung siku menentukan sekumpulan karakter yang ingin Anda cocokkan.
| Ekspresi | Tali | Cocok? |
|---|---|---|
(abc) | a | 1 pertandingan |
ac | 2 pertandingan | |
Hey Jude | Tidak ada yang cocok | |
abc de ca | 5 pertandingan |
Di sini, (abc)akan cocok jika string yang Anda coba cocokkan berisi salah satu a, batau c.
Anda juga dapat menentukan rentang karakter menggunakan -tanda kurung siku di dalam.
(a-e)sama dengan(abcde).(1-4)sama dengan(1234).(0-39)sama dengan(01239).
Anda dapat melengkapi (membalikkan) himpunan karakter dengan menggunakan ^simbol tanda sisipan di awal tanda kurung siku.
(^abc)berarti karakter apapun kecuali a atau b atau c.(^0-9)berarti karakter non-digit apa pun.
.- Periode
Titik cocok dengan karakter tunggal apa pun (kecuali baris baru '').
| Ekspresi | Tali | Cocok? |
|---|---|---|
… | a | Tidak ada yang cocok |
ac | 1 pertandingan | |
acd | 1 pertandingan | |
acde | 2 pertandingan (berisi 4 karakter) |
^- Caret
Simbol tanda sisipan ^digunakan untuk memeriksa apakah sebuah string dimulai dengan karakter tertentu.
| Ekspresi | Tali | Cocok? |
|---|---|---|
^a | a | 1 pertandingan |
abc | 1 pertandingan | |
bac | Tidak ada yang cocok | |
^ab | abc | 1 pertandingan |
acb | Tidak ada kecocokan (dimulai dengan atetapi tidak diikuti oleh b) |
$- Dollar
Simbol dolar $digunakan untuk memeriksa apakah sebuah string diakhiri dengan karakter tertentu.
| Ekspresi | Tali | Cocok? |
|---|---|---|
a$ | a | 1 pertandingan |
formula | 1 pertandingan | |
cab | Tidak ada yang cocok |
*- Bintang
Simbol bintang *cocok dengan nol atau lebih kemunculan pola yang tersisa.
| Ekspresi | Tali | Cocok? |
|---|---|---|
ma*n | mn | 1 pertandingan |
man | 1 pertandingan | |
maaan | 1 pertandingan | |
main | Tidak ada kecocokan ( atidak diikuti oleh n) |
|
woman | 1 pertandingan |
+- Plus
Simbol plus +cocok dengan satu kemunculan atau lebih dari pola yang tersisa.
| Ekspresi | Tali | Cocok? |
|---|---|---|
ma+n | mn | Tidak ada kecocokan (tidak ada akarakter) |
man | 1 pertandingan | |
maaan | 1 pertandingan | |
main | Tidak ada kecocokan (a tidak diikuti oleh n) | |
woman | 1 pertandingan |
? - Question Mark
The question mark symbol ? matches zero or one occurrence of the pattern left to it.
| Expression | String | Matched? |
|---|---|---|
ma?n | mn | 1 match |
man | 1 match | |
maaan | No match (more than one a character) |
|
main | No match (a is not followed by n) | |
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.
| 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
| Expression | String | Matched? |
|---|---|---|
(0-9)(2,4) | ab123csde | 1 match (match at ab123csde) |
12 and 345673 | 3 matches (12, 3456, 73) |
|
1 and 2 | No match |
| - Alternation
Vertical bar | is used for alternation (or operator).
| 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
| 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.
| Expression | String | Matched? |
|---|---|---|
Athe | the sun | Match |
In the sun | No match |
- Matches if the specified characters are at the beginning or end of a word.
| Expression | String | Matched? |
|---|---|---|
foo | football | Match |
a football | Match | |
afootball | No match | |
foo | the foo | Match |
the afoo test | Match | |
the afootest | No match |
B - Opposite of . Matches if the specified characters are not at the beginning or end of a word.
| Expression | String | Matched? |
|---|---|---|
Bfoo | football | No match |
a football | No match | |
afootball | Match | |
fooB | the foo | No match |
the afoo test | No match | |
the afootest | Match |
d - Matches any decimal digit. Equivalent to (0-9)
| Expression | String | Matched? |
|---|---|---|
d | 12abc3 | 3 matches (at 12abc3) |
Python | No match |
D - Matches any non-decimal digit. Equivalent to (^0-9)
| 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 ( fv).
| Expression | String | Matched? |
|---|---|---|
s | Python RegEx | 1 match |
PythonRegEx | No match |
S - Matches where a string contains any non-whitespace character. Equivalent to (fv).
| 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.
| 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_)
| Expression | String | Matched? |
|---|---|---|
W | 1a2%c | 1 match (at 1a2%c) |
Python | No match |
- Matches if the specified characters are at the end of a string.
| Expression | String | Matched? |
|---|---|---|
Python | I like Python | 1 match |
I like Python Programming | 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.
Python RegEx
Python has a module named re to work with regular expressions. To use it, we need to import the module.
import re
The module defines several functions and constants to work with RegEx.
re.findall()
The re.findall() method returns a list of strings containing all matches.
Example 1: re.findall()
# 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')
If the pattern is not found, re.findall() returns an empty list.
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.
Example 2: re.split()
import re string = 'Twelve:12 Eighty nine:89.' pattern = 'd+' result = re.split(pattern, string) print(result) # Output: ('Twelve:', ' Eighty nine:', '.')
If the pattern is not found, re.split() returns a list containing the original string.
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.')
By the way, the default value of maxsplit is 0; meaning all possible splits.
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.
Example 3: re.sub()
# Program to remove all whitespaces import re # multiline string string = 'abc 12 de 23 f45 6' # matches all whitespace characters pattern = 's+' # empty string replace = '' new_string = re.sub(pattern, replace, string) print(new_string) # Output: abc12de23f456
If the pattern is not found, re.sub() returns the original string.
You can pass count as a fourth parameter to the re.sub() method. If omited, it results to 0. This will replace all occurrences.
import re # multiline string string = 'abc 12 de 23 f45 6' # matches all whitespace characters pattern = 's+' replace = '' new_string = re.sub(r's+', replace, string, 1) print(new_string) # Output: # abc12de 23 # f45 6
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.
Example 4: re.subn()
# Program to remove all whitespaces import re # multiline string string = 'abc 12 de 23 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)
Example 5: re.search()
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
Here, match contains a match object.
Match object
You can get methods and attributes of a match object using dir() function.
Some of the commonly used methods and attributes of match objects are:
match.group()
The group() method returns the part of the string where there is a match.
Example 6: Match object
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'
We have covered all commonly used methods defined in the re module. If you want to learn more, visit Python 3 re module.
Using r prefix before RegEx
When r or R prefix is used before a regular expression, it means raw string. For example, '' is a new line whereas r'' means two characters: a backslash followed by n.
Backlash digunakan untuk menghindari berbagai karakter termasuk semua karakter meta. Namun, menggunakan awalan r membuat perlakukan sebagai karakter normal.
Contoh 7: String mentah menggunakan awalan r
import re string = ' and are escape sequences.' result = re.findall(r'()', string) print(result) # Output: ('', '')
