search
HomeBackend DevelopmentPython TutorialPython String Methods, with Examples

Python String Methods, with Examples

Detailed explanation of Python string method: efficient processing of text data

Python provides a rich string method for handling string objects such as formatting, searching, and modifying without changing the original string because strings are immutable. This article will introduce some commonly used Python string methods and explain them in combination with examples.

Characteristics of strings

Stands are an integral part of programming languages ​​and one of the most commonly used data types in Python. They are sequences of immutable Unicode characters that can be enclosed in single, double or triple quotation marks. Immutability means that once a string is created, it cannot be modified directly; any modification operation will create a new string object.

Example string in Python:

greeting = "Hello, World!"

Note: Unlike Java or other programming languages, Python does not support character data types. So a single character enclosed in quotes, such as 'c', is still a string.

Overview of string methods

Since strings are treated as sequences in Python, they implement all sequence operations such as joins, slices, etc.:

>>> word = 'golden'
>>> len(word)
6
>>> word + 'age'
'goldenage'
>>> 'la' * 3
'lalala'
>>>

In addition to sequence operations, there are many other additional methods related to string objects. These methods can be used to format strings, search for substrings in another string, trim spaces, perform certain checks on a given string, and so on.

It should be noted that these string methods do not modify the original string; since strings are immutable in Python, strings cannot be modified directly. Most string methods only return modified string copies or boolean values.

The following is a detailed introduction to some Python string methods, accompanied by examples.

Method to return a modified copy of the string

  • str.capitalize(): Converts the first character of the string to uppercase and the rest to lowercase.

    Example:

    >>> "i Enjoy traveling. Do you?".capitalize()
    'I enjoy traveling. do you?'
    >>>
  • str.center(width[, fillchar]): Returns a centered string, filled with the given fillchar and width. If width is less than or equal to the string length, the original string is returned.

    Example:

    >>> sentence = 'i Enjoy traveling. Do you?'
    >>> len(sentence)
    26
    >>> sentence.center(31)
    '  i Enjoy traveling. Do you? '
    >>> sentence.center(30)
    ' i Enjoy traveling. Do you? '
  • str.encode(encoding='utf-8', errors='strict'): Returns a string encoded as bytes.

    By default, the string passed to the function is encoded as utf-8, and if an error occurs, a UnicodeEncodeError exception will be raised. The errors keyword parameter specifies how to handle errors, such as strict throws an exception, ignore ignores any errors encountered, etc. There are a few other coding options available.

    Example:

    greeting = "Hello, World!"
  • *`str.format(args, kwargs)`: Returns a copy of the string in which each substitute field is replaced by the string value of the corresponding parameter.

    Example:

    >>> word = 'golden'
    >>> len(word)
    6
    >>> word + 'age'
    'goldenage'
    >>> 'la' * 3
    'lalala'
    >>>
  • str.lower(): Convert all uppercase characters in a string to lowercase.

    Example:

    >>> "i Enjoy traveling. Do you?".capitalize()
    'I enjoy traveling. do you?'
    >>>
  • str.removeprefix(prefix, /): Removes the specified prefix at the beginning of the string, and returns the original string if the prefix cannot be found.

    Example:

    >>> sentence = 'i Enjoy traveling. Do you?'
    >>> len(sentence)
    26
    >>> sentence.center(31)
    '  i Enjoy traveling. Do you? '
    >>> sentence.center(30)
    ' i Enjoy traveling. Do you? '
  • str.removesuffix(suffix, /): Removes the specified suffix at the end of the string, and returns the original string if the suffix cannot be found.

    Example:

    >>> sentence = "i Enjoy traveling. Do you, 山本さん?"
    >>> sentence.encode()
    b'i Enjoy traveling. Do you, \xe5\xb1\xb1\xe6\x9c\xac\xe3\x81\x95\xe3\x82\x93?'
    >>> sentence.encode(encoding='ascii')
    Traceback (most recent call last):
     File "<stdin>", line 1, in <module>
    UnicodeEncodeError: 'ascii' codec can't encode characters in position 27-30: ordinal not in range(128)
    >>> sentence.encode(encoding='ascii', errors='replace')
    b'i Enjoy traveling. Do you, ?????'
  • str.replace(old, new[, count]): Replace all substrings that appear in the string with old. If the new parameter is provided, only the count occurrence substrings are replaced. count

    Example:

    >>> "I bought {0} apples and the cost {1:.2f} Ghana cedis.".format(2, 18.70)
    'I bought 2 apples and the cost 18.70 Ghana cedis.'
    >>> "My name is {first_name}, and I'm a {profession}.".format(first_name='Ben', profession='doctor')
    "My name is Ben, and I'm a doctor."
    >>>
  • str.strip([chars]): Returns a new string where the characters specified at the beginning and end of the original string have been removed. If the parameter is not provided, spaces are removed by default. chars

    Example:

    >>> 'i Enjoy traveling. Do you?'.lower()
    'i enjoy traveling. do you?'
    >>>
  • str.title(): capitalizes the first letter of each word in the string and lowercase the rest of the letters.

    Example:

    >>> 'i Enjoy traveling. Do you?'.removeprefix('i')
    ' Enjoy traveling. Do you?'
    >>>
  • str.upper(): Convert all characters in a string to uppercase.

    Example:

    >>> 'i Enjoy traveling. Do you?'.removesuffix('Do you?')
    'i Enjoy traveling. '
    >>>

Methods to concatenate and split strings

  • str.join(iterable): Concatenate the string in the iterable object into a new string. If the iterable object contains non-string values, a exception is thrown. TypeError

    Example:

    >>> 'i Enjoy traveling. Do you?'.replace('Enjoy','dislike')
    'i dislike traveling. Do you?'
    >>> 'Things fall apart'.replace('a','e',1)
    'Things fell apart'
    >>>
  • str.split(sep=None, maxsplit=-1): Split the string into a list according to the specified separator.

    Example:

    >>> word1 = ' whitespace '.strip()
    >>> word1
    'whitespace'
    >>> word2 = 'exercise'.strip('e')
    >>> word2
    'xercis'
    >>> word3 = 'chimpanze'.strip('acepnz')
    >>> word3
    'him'
    >>>

How to query strings

  • str.count(sub[, start[, end]]): Returns the number of times the substring appears in the string. sub

    Example:

    >>> 'i Enjoy traveling. Do you?'.title()
    'I Enjoy Traveling. Do You?'
    >>>
  • str.find(sub[, start[, end]]): Returns the index of the location where the substring appears for the first time in the string. If the substring is not found, return -1. sub

    Example:

    >>> 'i Enjoy traveling. Do you?'.upper()
    'I ENJOY TRAVELING. DO YOU?'
    >>>
  • str.index(sub[, start[, end]]): Returns the index of the location where the substring appears for the first time in the string. If the substring is not found, a sub exception is thrown. ValueError

    Example:

    >>> words = ["Accra", "is", "a", "beautiful", "city"]
    >>> ' '.join(words)
    'Accra is a beautiful city'
    >>> names = ['Abe', 'Fred', 'Bryan']
    >>> '-'.join(names)
    'Abe-Fred-Bryan'
    >>>

Methods to return boolean values

  • str.endswith(suffix[, start[, end]]): Returns suffix if the string ends with the specified True; otherwise, return False.

    Example:

    greeting = "Hello, World!"
  • str.isalnum(): Returns True if the string contains alphanumeric characters and has at least one character; otherwise returns False.

    Example:

    >>> word = 'golden'
    >>> len(word)
    6
    >>> word + 'age'
    'goldenage'
    >>> 'la' * 3
    'lalala'
    >>>
  • str.isalpha(): Returns True if all characters in a string are letters and have at least one character; otherwise, return False.

    Example:

    >>> "i Enjoy traveling. Do you?".capitalize()
    'I enjoy traveling. do you?'
    >>>
  • str.isascii(): Returns True if all characters in the string are ASCII characters or the string is empty; otherwise returns False.

    Example:

    >>> sentence = 'i Enjoy traveling. Do you?'
    >>> len(sentence)
    26
    >>> sentence.center(31)
    '  i Enjoy traveling. Do you? '
    >>> sentence.center(30)
    ' i Enjoy traveling. Do you? '
  • str.isdecimal(): Returns True if the string contains all decimal characters and has at least one character; otherwise returns False.

    Example:

    >>> sentence = "i Enjoy traveling. Do you, 山本さん?"
    >>> sentence.encode()
    b'i Enjoy traveling. Do you, \xe5\xb1\xb1\xe6\x9c\xac\xe3\x81\x95\xe3\x82\x93?'
    >>> sentence.encode(encoding='ascii')
    Traceback (most recent call last):
     File "<stdin>", line 1, in <module>
    UnicodeEncodeError: 'ascii' codec can't encode characters in position 27-30: ordinal not in range(128)
    >>> sentence.encode(encoding='ascii', errors='replace')
    b'i Enjoy traveling. Do you, ?????'
  • str.isnumeric(): Returns True if the string contains all numeric characters and has at least one character; otherwise returns False.

    Example:

    >>> "I bought {0} apples and the cost {1:.2f} Ghana cedis.".format(2, 18.70)
    'I bought 2 apples and the cost 18.70 Ghana cedis.'
    >>> "My name is {first_name}, and I'm a {profession}.".format(first_name='Ben', profession='doctor')
    "My name is Ben, and I'm a doctor."
    >>>
  • str.islower(): Returns True if all characters in a string are lowercase and have at least one character; otherwise, return False.

    Example:

    >>> 'i Enjoy traveling. Do you?'.lower()
    'i enjoy traveling. do you?'
    >>>
  • str.isupper(): Returns True if all characters in a string are capitalized and have at least one character; otherwise returns False.

    Example:

    >>> 'i Enjoy traveling. Do you?'.removeprefix('i')
    ' Enjoy traveling. Do you?'
    >>>
  • str.startswith(prefix[, start[, end]]): Returns prefix if the string begins with the specified True; otherwise, return False.

    Example:

    >>> 'i Enjoy traveling. Do you?'.removesuffix('Do you?')
    'i Enjoy traveling. '
    >>>

Byte method (bytes.decode())

  • bytes.decode(encoding='utf-8', errors='strict'): Decode the bytes into a string.

    By default, the encoding is 'utf-8', and if an error occurs, a UnicodeDecodeError exception will be raised. strict, ignore and replace are error keyword parameters that specify how exceptions are handled.

    Example:

    >>> 'i Enjoy traveling. Do you?'.replace('Enjoy','dislike')
    'i dislike traveling. Do you?'
    >>> 'Things fall apart'.replace('a','e',1)
    'Things fell apart'
    >>>

Summary

Proficiency in Python string methods is essential for efficient processing of text data. Python provides a wealth of tools to easily perform string manipulation and improve programming efficiency.

Challenge

Try to predict the output of the following code:

>>> word1 = ' whitespace '.strip()
>>> word1
'whitespace'
>>> word2 = 'exercise'.strip('e')
>>> word2
'xercis'
>>> word3 = 'chimpanze'.strip('acepnz')
>>> word3
'him'
>>>

You can run code in a Python interactive environment to verify your answer.

(The FAQs part is omitted because it is too long and does not match the pseudo-original goal. The FAQs content can be added elsewhere as needed.)

The above is the detailed content of Python String Methods, with Examples. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
What are the alternatives to concatenate two lists in Python?What are the alternatives to concatenate two lists in Python?May 09, 2025 am 12:16 AM

There are many methods to connect two lists in Python: 1. Use operators, which are simple but inefficient in large lists; 2. Use extend method, which is efficient but will modify the original list; 3. Use the = operator, which is both efficient and readable; 4. Use itertools.chain function, which is memory efficient but requires additional import; 5. Use list parsing, which is elegant but may be too complex. The selection method should be based on the code context and requirements.

Python: Efficient Ways to Merge Two ListsPython: Efficient Ways to Merge Two ListsMay 09, 2025 am 12:15 AM

There are many ways to merge Python lists: 1. Use operators, which are simple but not memory efficient for large lists; 2. Use extend method, which is efficient but will modify the original list; 3. Use itertools.chain, which is suitable for large data sets; 4. Use * operator, merge small to medium-sized lists in one line of code; 5. Use numpy.concatenate, which is suitable for large data sets and scenarios with high performance requirements; 6. Use append method, which is suitable for small lists but is inefficient. When selecting a method, you need to consider the list size and application scenarios.

Compiled vs Interpreted Languages: pros and consCompiled vs Interpreted Languages: pros and consMay 09, 2025 am 12:06 AM

Compiledlanguagesofferspeedandsecurity,whileinterpretedlanguagesprovideeaseofuseandportability.1)CompiledlanguageslikeC arefasterandsecurebuthavelongerdevelopmentcyclesandplatformdependency.2)InterpretedlanguageslikePythonareeasiertouseandmoreportab

Python: For and While Loops, the most complete guidePython: For and While Loops, the most complete guideMay 09, 2025 am 12:05 AM

In Python, a for loop is used to traverse iterable objects, and a while loop is used to perform operations repeatedly when the condition is satisfied. 1) For loop example: traverse the list and print the elements. 2) While loop example: guess the number game until you guess it right. Mastering cycle principles and optimization techniques can improve code efficiency and reliability.

Python concatenate lists into a stringPython concatenate lists into a stringMay 09, 2025 am 12:02 AM

To concatenate a list into a string, using the join() method in Python is the best choice. 1) Use the join() method to concatenate the list elements into a string, such as ''.join(my_list). 2) For a list containing numbers, convert map(str, numbers) into a string before concatenating. 3) You can use generator expressions for complex formatting, such as ','.join(f'({fruit})'forfruitinfruits). 4) When processing mixed data types, use map(str, mixed_list) to ensure that all elements can be converted into strings. 5) For large lists, use ''.join(large_li

Python's Hybrid Approach: Compilation and Interpretation CombinedPython's Hybrid Approach: Compilation and Interpretation CombinedMay 08, 2025 am 12:16 AM

Pythonusesahybridapproach,combiningcompilationtobytecodeandinterpretation.1)Codeiscompiledtoplatform-independentbytecode.2)BytecodeisinterpretedbythePythonVirtualMachine,enhancingefficiencyandportability.

Learn the Differences Between Python's 'for' and 'while' LoopsLearn the Differences Between Python's 'for' and 'while' LoopsMay 08, 2025 am 12:11 AM

ThekeydifferencesbetweenPython's"for"and"while"loopsare:1)"For"loopsareidealforiteratingoversequencesorknowniterations,while2)"while"loopsarebetterforcontinuinguntilaconditionismetwithoutpredefinediterations.Un

Python concatenate lists with duplicatesPython concatenate lists with duplicatesMay 08, 2025 am 12:09 AM

In Python, you can connect lists and manage duplicate elements through a variety of methods: 1) Use operators or extend() to retain all duplicate elements; 2) Convert to sets and then return to lists to remove all duplicate elements, but the original order will be lost; 3) Use loops or list comprehensions to combine sets to remove duplicate elements and maintain the original order.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Safe Exam Browser

Safe Exam Browser

Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools

SecLists

SecLists

SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)