RegEx or regular expression is a sequence of characters that forms a search pattern.
RegEx can be used to check whether a string contains a specified search pattern.
RegEx module
Python provides a built-in package named re that can be used to process regular expressions.
Import the re module:
import re
RegEx in Python
After importing the re module, you can start using regular expressions:
Example
Retrieve a string to see if it starts with "China" and ends with "country":
import re txt = "China is a great country" x = re.search("^China.*country$", txt)
Running Example
import re txt = "China is a great country" x = re.search("^China.*country$", txt) if (x): print("YES! We have a match!") else: print("No match")
RegEx Functions
The re module provides a set of functions that allow us to retrieve strings for matching:
Metacharacters
Metacharacters are characters with special meaning
Characters: [] Description: A set of characters Example: "[a-m]"
import re str = "The rain in Spain" #Find all lower case characters alphabetically between "a" and "m": x = re.findall("[a-m]", str) print(x)
Run the example
Characters: Description: Indicates special sequences (can also be used to escape special characters) Example: "\d"
import re str = "That will be 59 dollars" #Find all digit characters: x = re.findall("\d", str) print(x)
Run the example
Characters: . Description: Any character (except newline) Example: "he…o"
import re str = "hello world" #Search for a sequence that starts with "he", followed by two (any) characters, and an "o": x = re.findall("he..o", str) print(x)
Run the example
Characters: ^ Description: Start with example: "^hello"
import re str = "hello world" #Check if the string starts with 'hello': x = re.findall("^hello", str) if (x): print("Yes, the string starts with 'hello'") else: print("No match")
Run example
Characters: $ Description: End with example: "world$"
import re str = "hello world" #Check if the string ends with 'world': x = re.findall("world$", str) if (x): print("Yes, the string ends with 'world'") else: print("No match")
Run Example
Characters: * Description: Zero or more occurrences Example: "aix*"
import re str = "The rain in Spain falls mainly in the plain!" #Check if the string contains "ai" followed by 0 or more "x" characters: x = re.findall("aix*", str) print(x) if (x): print("Yes, there is at least one match!") else: print("No match")
Run Example
Characters: Description: One or more occurrences of Example: "aix"
import re str = "The rain in Spain falls mainly in the plain!" #Check if the string contains "ai" followed by 1 or more "x" characters: x = re.findall("aix+", str) print(x) if (x): print("Yes, there is at least one match!") else: print("No match")
Run the example
Characters :{} Description: Exactly specified number of occurrences Example: "al{2}"
import re str = "The rain in Spain falls mainly in the plain!" #Check if the string contains "a" followed by exactly two "l" characters: x = re.findall("al{2}", str) print(x) if (x): print("Yes, there is at least one match!") else: print("No match")
Running Example
Characters: | Description: Both Either example: "falls|stays"
import re str = "The rain in Spain falls mainly in the plain!" #Check if the string contains either "falls" or "stays": x = re.findall("falls|stays", str) print(x) if (x): print("Yes, there is at least one match!") else: print("No match")
Running Example
import re str = "The rain in Spain" #Check if the string starts with "The": x = re.findall("\AThe", str) print(x) if (x): print("Yes, there is a match!") else: print("No match")Run the example
import re str = "The rain in Spain" #Check if "ain" is present at the beginning of a WORD: x = re.findall(r"\bain", str) print(x) if (x): print("Yes, there is at least one match!") else: print("No match")Run Example
import re str = "The rain in Spain" #Check if "ain" is present at the end of a WORD: x = re.findall(r"ain\b", str) print(x) if (x): print("Yes, there is at least one match!") else: print("No match")Run the example
import re str = "The rain in Spain" #Check if "ain" is present, but NOT at the beginning of a word: x = re.findall(r"\Bain", str) print(x) if (x): print("Yes, there is at least one match!") else: print("No match")Run the example
import re str = "The rain in Spain" #Check if "ain" is present, but NOT at the end of a word: x = re.findall(r"ain\B", str) print(x) if (x): print("Yes, there is at least one match!") else: print("No match")Run the example
import re str = "The rain in Spain" #Check if the string contains any digits (numbers from 0-9): x = re.findall("\d", str) print(x) if (x): print("Yes, there is at least one match!") else: print("No match")Run the example
import re str = "The rain in Spain" #Return a match at every no-digit character: x = re.findall("\D", str) print(x) if (x): print("Yes, there is at least one match!") else: print("No match")Run the example
描述:返回字符串包含空白字符的匹配项
示例:“\s”
import re str = "The rain in Spain" #Return a match at every white-space character: x = re.findall("\s", str) print(x) if (x): print("Yes, there is at least one match!") else: print("No match")
运行示例
字符:\S
描述:返回字符串不包含空白字符的匹配项
示例:“\S”
import re str = "The rain in Spain" #Return a match at every NON white-space character: x = re.findall("\S", str) print(x) if (x): print("Yes, there is at least one match!") else: print("No match")
运行示例
字符:\w
描述: 返回一个匹配项,其中字符串包含任何单词字符 (从 a 到 Z 的字符,从 0 到 9 的数字和下划线 _ 字符)
示例:“\w”
import re str = "The rain in Spain" #Return a match at every word character (characters from a to Z, digits from 0-9, and the underscore _ character): x = re.findall("\w", str) print(x) if (x): print("Yes, there is at least one match!") else: print("No match")
运行示例
字符:\W
描述:返回一个匹配项,其中字符串不包含任何单词字符
示例:“\W”
import re str = "The rain in Spain" #Return a match at every NON word character (characters NOT between a and Z. Like "!", "?" white-space etc.): x = re.findall("\W", str) print(x) if (x): print("Yes, there is at least one match!") else: print("No match")
运行示例
字符:\Z
描述:如果指定的字符位于字符串的末尾,则返回匹配项 。
示例:“Spain\Z”
import re str = "The rain in Spain" #Check if the string ends with "Spain": x = re.findall("Spain\Z", str) print(x) if (x): print("Yes, there is a match!") else: print("No match")
运行示例
集合(Set)
集合(Set)是一对方括号 [] 内的一组字符,具有特殊含义。
字符:[arn]
描述:返回一个匹配项,其中存在指定字符(a,r 或 n)之一
示例
import re str = "The rain in Spain" #Check if the string has any a, r, or n characters: x = re.findall("[arn]", str) print(x) if (x): print("Yes, there is at least one match!") else: print("No match")
运行示例
字符:[a-n]
描述:返回字母顺序 a 和 n 之间的任意小写字符匹配项
示例
import re str = "The rain in Spain" #Check if the string has any characters between a and n: x = re.findall("[a-n]", str) print(x) if (x): print("Yes, there is at least one match!") else: print("No match")
运行示例
字符:[^arn]
描述:返回除 a、r 和 n 之外的任意字符的匹配项
示例
import re str = "The rain in Spain" #Check if the string has other characters than a, r, or n: x = re.findall("[^arn]", str) print(x) if (x): print("Yes, there is at least one match!") else: print("No match")
运行示例
字符:[0123]
描述:返回存在任何指定数字(0、1、2 或 3)的匹配项
示例
import re str = "The rain in Spain" #Check if the string has any 0, 1, 2, or 3 digits: x = re.findall("[0123]", str) print(x) if (x): print("Yes, there is at least one match!") else: print("No match")
运行示例
字符:[0-9]
描述:返回 0 与 9 之间任意数字的匹配
示例
import re str = "8 times before 11:45 AM" #Check if the string has any digits: x = re.findall("[0-9]", str) print(x) if (x): print("Yes, there is at least one match!") else: print("No match")
运行示例
字符:[0-5][0-9]
描述:返回介于 0 到 9 之间的任何数字的匹配项
示例
import re str = "8 times before 11:45 AM" #Check if the string has any two-digit numbers, from 00 to 59: x = re.findall("[0-5][0-9]", str) print(x) if (x): print("Yes, there is at least one match!") else: print("No match")
运行示例
字符:[a-zA-Z]
描述:返回字母顺序 a 和 z 之间的任何字符的匹配,小写或大写
示例
import re str = "8 times before 11:45 AM" #Check if the string has any characters from a to z lower case, and A to Z upper case: x = re.findall("[a-zA-Z]", str) print(x) if (x): print("Yes, there is at least one match!") else: print("No match")
运行示例
字符:[+]
描述:在集合中,+、*、.、|、()、$、{} 没有特殊含义,因此 [+] 表示:返回字符串中任何 + 字符的匹配项。
示例
import re str = "8 times before 11:45 AM" #Check if the string has any + characters: x = re.findall("[+]", str) print(x) if (x): print("Yes, there is at least one match!") else: print("No match")
运行示例
findall() 函数
findall() 函数返回包含所有匹配项的列表。
实例
打印所有匹配的列表
import re str = "China is a great country" x = re.findall("a", str) print(x)
运行实例
这个列表以被找到的顺序包含匹配项。
如果未找到匹配项,则返回空列表。
实例
如果未找到匹配,则返回空列表:
import re str = "China is a great country" x = re.findall("USA", str) print(x)
运行实例
search() 函数
search() 函数搜索字符串中的匹配项,如果存在匹配则返回 Match 对象。
如果有多个匹配,则仅返回首个匹配项。
实例
在字符串中搜索第一个空白字符
import re str = "China is a great country" x = re.search("\s", str) print("The first white-space character is located in position:", x.start())
运行实例
如果未找到匹配,则返回值 None:
实例
进行不返回匹配的检索
import re str = "China is a great country" x = re.search("USA", str) print(x)
运行实例
split() 函数
split() 函数返回一个列表,其中字符串在每次匹配时被拆分。
实例
在每个空白字符处进行拆分
import re str = "China is a great country" x = re.split("\s", str) print(x)
运行实例
可以通过指定 maxsplit 参数来控制出现次数:
实例
仅在首次出现时拆分字符串:
import re str = "China is a great country" x = re.split("\s", str, 1) print(x)
运行实例
sub() 函数
sub() 函数把匹配替换为您选择的文本
实例
用数字 9 替换每个空白字符
import re str = "China is a great country" x = re.sub("\s", "9", str) print(x)
运行实例
可以通过指定 count 参数来控制替换次数:
实例
替换前两次出现
import re str = "China is a great country" x = re.sub("\s", "9", str, 2) print(x)
运行实例
Match 对象
Match 对象是包含有关搜索和结果信息的对象。
注释:如果没有匹配,则返回值 None,而不是 Match 对象。
实例
执行会返回 Match 对象的搜索:
import re str = "China is a great country" x = re.search("a", str) print(x) # 将打印一个对象
运行实例
Match 对象提供了用于取回有关搜索及结果信息的属性和方法:
span()
返回的元组包含了匹配的开始和结束位置.string
返回传入函数的字符串group()
返回匹配的字符串部分
实例
打印首个匹配出现的位置(开始和结束位置)。
正则表达式查找以大写 “C” 开头的任何单词:
import re str = "China is a great country" x = re.search(r"\bC\w+", str) print(x.span())
运行实例
实例
打印传入函数的字符串
import re str = "China is a great country" x = re.search(r"\bC\w+", str) print(x.string)
运行实例
实例
打印匹配的字符串部分
正则表达式查找以大写 “C” 开头的任何单词:
import re str = "China is a great country" x = re.search(r"\bC\w+", str) print(x.group())
运行实例
注释:如果没有匹配项,则返回值 None,而不是 Match 对象。
The above is the detailed content of How to use Python's RegEx regular expression. For more information, please follow other related articles on the PHP Chinese website!

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

Python and C have significant differences in memory management and control. 1. Python uses automatic memory management, based on reference counting and garbage collection, simplifying the work of programmers. 2.C requires manual management of memory, providing more control but increasing complexity and error risk. Which language to choose should be based on project requirements and team technology stack.

Python's applications in scientific computing include data analysis, machine learning, numerical simulation and visualization. 1.Numpy provides efficient multi-dimensional arrays and mathematical functions. 2. SciPy extends Numpy functionality and provides optimization and linear algebra tools. 3. Pandas is used for data processing and analysis. 4.Matplotlib is used to generate various graphs and visual results.

Whether to choose Python or C depends on project requirements: 1) Python is suitable for rapid development, data science, and scripting because of its concise syntax and rich libraries; 2) C is suitable for scenarios that require high performance and underlying control, such as system programming and game development, because of its compilation and manual memory management.

Python is widely used in data science and machine learning, mainly relying on its simplicity and a powerful library ecosystem. 1) Pandas is used for data processing and analysis, 2) Numpy provides efficient numerical calculations, and 3) Scikit-learn is used for machine learning model construction and optimization, these libraries make Python an ideal tool for data science and machine learning.

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.


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

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

Hot Article

Hot Tools

Atom editor mac version download
The most popular open source editor

SublimeText3 Linux new version
SublimeText3 Linux latest version

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

SublimeText3 English version
Recommended: Win version, supports code prompts!

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.