


31 essential Python string methods, recommended to collect!
String is the basic data type in Python, and it is used in almost every Python program.
1. Slicing
slicing, taking out some elements from a list or tuple according to certain conditions (such as a specific range, index, split value)
s = ' hello ' s = s[:] print(s) #hello s = ' hello ' s = s[3:8] print(s) # hello
2. strip ()
strip() method is used to remove specified characters (default is space or newline character) or character sequence at the beginning and end of a string.
s = ' hello '.strip() print(s) # hello s = '###hello###'.strip() print(s) # ###hello###
When using the strip() method, spaces or newlines are removed by default, so the # sign is not removed.
You can add specified characters to the strip() method, as shown below.
s = '###hello###'.strip('#') print(s) # hello
In addition, when the specified content is not at the beginning and end, it will not be removed.
s = ' n t hellon'.strip('n') print(s) # #hello s = 'n t hellon'.strip('n') print(s) #hello
There is a space before the first n, so only the trailing newline character will be taken.
The last parameter of the strip() method is to strip all combinations of its values. You can see the following case.
s = 'www.baidu.com'.strip('cmow.') print(s) # baidu
The outermost first character and last character parameter values will be stripped from the string. Characters are removed from the front until a string character is reached that is not contained in the character set.
A similar action will occur at the tail.
3. lstrip()
Remove the specified character (default is space or newline character) or character sequence on the left side of the string.
s = ' hello '.lstrip() print(s) # hello
Similarly, all strings contained in the character set on the left can be removed.
s = 'Arthur: three!'.lstrip('Arthur: ') print(s) # ee!
4, rstrip()
Remove the specified character (default is space or newline character) or character sequence on the right side of the string.
s = ' hello '.rstrip() print(s) #hello
5. removeprefix()
Function to remove prefix in Python3.9.
# python 3.9 s = 'Arthur: three!'.removeprefix('Arthur: ') print(s) # three!
Compared with strip(), the strings in the character set will not be matched one by one.
6. removesuffix()
Function to remove suffix in Python3.9.
s = 'HelloPython'.removesuffix('Python') print(s) # Hello
7. replace()
Replace the content in the string with the specified content.
s = 'string methods in python'.replace(' ', '-') print(s) # string-methods-in-python s = 'string methods in python'.replace(' ', '') print(s) # stringmethodsinpython
8. re.sub()
re is a regular expression, sub is substitute, which means replacement.
re.sub is a relatively complicated replacement.
import re s = "stringmethods in python" s2 = s.replace(' ', '-') print(s2) # string----methods-in-python s = "stringmethods in python" s2 = re.sub("s+", "-", s) print(s2) # string-methods-in-python
Compared with replace(), using re.sub() for replacement operation is indeed more advanced.
9. split()
Split the string, and the final result is a list.
s = 'string methods in python'.split() print(s) # ['string', 'methods', 'in', 'python']
When the delimiter is not specified, it will be separated by spaces by default.
s = 'string methods in python'.split(',') print(s) # ['string methods in python']
In addition, you can also specify the number of times the string is separated.
s = 'string methods in python'.split(' ', maxsplit=1) print(s) # ['string', 'methods in python']
10. rsplit()
Separate the string starting from the right side.
s = 'string methods in python'.rsplit(' ', maxsplit=1) print(s) # ['string methods in', 'python']
11. join()
string.join(seq). Using string as the separator, combine all elements (string representations) in seq into a new string.
list_of_strings = ['string', 'methods', 'in', 'python'] s = '-'.join(list_of_strings) print(s) # string-methods-in-python list_of_strings = ['string', 'methods', 'in', 'python'] s = ' '.join(list_of_strings) print(s) # string methods in python
12. upper()
Convert all letters in the string to uppercase.
s = 'simple is better than complex'.upper() print(s) # SIMPLE IS BETTER THAN COMPLEX
13. lower()
Convert all letters in the string to lowercase.
s = 'SIMPLE IS BETTER THAN COMPLEX'.lower() print(s) # simple is better than complex
14. capitalize()
Convert the first letter in the string to uppercase.
s = 'simple is better than complex'.capitalize() print(s) # Simple is better than complex
15. islower()
Determine whether all letters in the string are lowercase, if so, return True, otherwise return False.
print('SIMPLE IS BETTER THAN COMPLEX'.islower()) # False print('simple is better than complex'.islower()) # True
16. isupper()
Determine whether all letters in the string are uppercase, if so, return True, otherwise return False.
print('SIMPLE IS BETTER THAN COMPLEX'.isupper()) # True print('SIMPLE IS BETTER THAN complex'.isupper()) # False
17, isalpha()
If the string has at least one character and all characters are letters, return True, otherwise return False.
s = 'python' print(s.isalpha()) # True s = '123' print(s.isalpha()) # False s = 'python123' print(s.isalpha()) # False s = 'python-123' print(s.isalpha()) # False
18, isnumeric()
If the string contains only numeric characters, return True, otherwise return False.
s = 'python' print(s.isnumeric()) # False s = '123' print(s.isnumeric()) # True s = 'python123' print(s.isnumeric()) # False s = 'python-123' print(s.isnumeric()) # False
19, isalnum()
If there is at least one character in the string and all characters are letters or numbers, return True, otherwise return False.
s = 'python' print(s.isalnum()) # True s = '123' print(s.isalnum()) # True s = 'python123' print(s.isalnum()) # True s = 'python-123' print(s.isalnum()) # False
20, count()
Returns the number of times the specified content appears in the string.
n = 'hello world'.count('o') print(n) # 2 n = 'hello world'.count('oo') print(n) # 0
21. find()
Check whether the specified content is included in the string. If so, return the starting index value, otherwise return -1.
s = 'Machine Learning' idx = s.find('a') print(idx) print(s[idx:]) # 1 # achine Learning s = 'Machine Learning' idx = s.find('aa') print(idx) print(s[idx:]) # -1 # g
In addition, you can also specify the starting range.
s = 'Machine Learning' idx = s.find('a', 2) print(idx) print(s[idx:]) # 10 # arning
22. rfind()
Similar to the find() function, returns the last occurrence of the string, or -1 if there is no match.
s = 'Machine Learning' idx = s.rfind('a') print(idx) print(s[idx:]) # 10 # arning
23, startswith()
Check whether the string starts with the specified content, if so, return True, otherwise return False.
print('Patrick'.startswith('P')) # True
24, endswith()
Check whether the string ends with the specified content, if so, return True, otherwise return False.
print('Patrick'.endswith('ck')) # True
25. partition()
string.partition(str), a bit like a combination of find() and split().
Starting from the first position where str appears, divide the string string into a 3-element tuple (string_pre_str, str, string_post_str). If string does not contain str, then string_pre_str==string.
s = 'Python is awesome!' parts = s.partition('is') print(parts) # ('Python ', 'is', ' awesome!') s = 'Python is awesome!' parts = s.partition('was') print(parts) # ('Python is awesome!', '', '')
26, center()
Returns a new string in which the original string is centered and filled with spaces to the length width.
s = 'Python is awesome!' s = s.center(30, '-') print(s) # ------Python is awesome!------
27, ljust()
Returns a new string in which the original string is left-aligned and padded with spaces to length width.
s = 'Python is awesome!' s = s.ljust(30, '-') print(s) # Python is awesome!------------
28, rjust()
Returns a new string with the original string right-aligned and padded with spaces to the length width.
s = 'Python is awesome!' s = s.rjust(30, '-') print(s) # ------------Python is awesome!
29, f-Strings
f-string is the new syntax for formatting strings.
与其他格式化方式相比,它们不仅更易读,更简洁,不易出错,而且速度更快!
num = 1 language = 'Python' s = f'{language} is the number {num} in programming!' print(s) # Python is the number 1 in programming! num = 1 language = 'Python' s = f'{language} is the number {num*8} in programming!' print(s) # Python is the number 8 in programming!
30、swapcase()
翻转字符串中的字母大小写。
s = 'HELLO world' s = s.swapcase() print(s) # hello WORLD
31、zfill()
string.zfill(width)。
返回长度为width的字符串,原字符串string右对齐,前面填充0。
s = '42'.zfill(5) print(s) # 00042 s = '-42'.zfill(5) print(s) # -0042 s = '+42'.zfill(5) print(s) # +0042
The above is the detailed content of 31 essential Python string methods, recommended to collect!. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



There is no built-in sum function in C language, so it needs to be written by yourself. Sum can be achieved by traversing the array and accumulating elements: Loop version: Sum is calculated using for loop and array length. Pointer version: Use pointers to point to array elements, and efficient summing is achieved through self-increment pointers. Dynamically allocate array version: Dynamically allocate arrays and manage memory yourself, ensuring that allocated memory is freed to prevent memory leaks.

There is no absolute salary for Python and JavaScript developers, depending on skills and industry needs. 1. Python may be paid more in data science and machine learning. 2. JavaScript has great demand in front-end and full-stack development, and its salary is also considerable. 3. Influencing factors include experience, geographical location, company size and specific skills.

The H5 page needs to be maintained continuously, because of factors such as code vulnerabilities, browser compatibility, performance optimization, security updates and user experience improvements. Effective maintenance methods include establishing a complete testing system, using version control tools, regularly monitoring page performance, collecting user feedback and formulating maintenance plans.

Although distinct and distinct are related to distinction, they are used differently: distinct (adjective) describes the uniqueness of things themselves and is used to emphasize differences between things; distinct (verb) represents the distinction behavior or ability, and is used to describe the discrimination process. In programming, distinct is often used to represent the uniqueness of elements in a collection, such as deduplication operations; distinct is reflected in the design of algorithms or functions, such as distinguishing odd and even numbers. When optimizing, the distinct operation should select the appropriate algorithm and data structure, while the distinct operation should optimize the distinction between logical efficiency and pay attention to writing clear and readable code.

!x Understanding !x is a logical non-operator in C language. It booleans the value of x, that is, true changes to false, false changes to true. But be aware that truth and falsehood in C are represented by numerical values rather than boolean types, non-zero is regarded as true, and only 0 is regarded as false. Therefore, !x deals with negative numbers the same as positive numbers and is considered true.

There is no built-in sum function in C for sum, but it can be implemented by: using a loop to accumulate elements one by one; using a pointer to access and accumulate elements one by one; for large data volumes, consider parallel calculations.

How to obtain dynamic data of 58.com work page while crawling? When crawling a work page of 58.com using crawler tools, you may encounter this...

Copying and pasting the code is not impossible, but it should be treated with caution. Dependencies such as environment, libraries, versions, etc. in the code may not match the current project, resulting in errors or unpredictable results. Be sure to ensure the context is consistent, including file paths, dependent libraries, and Python versions. Additionally, when copying and pasting the code for a specific library, you may need to install the library and its dependencies. Common errors include path errors, version conflicts, and inconsistent code styles. Performance optimization needs to be redesigned or refactored according to the original purpose and constraints of the code. It is crucial to understand and debug copied code, and do not copy and paste blindly.
