This module is called re and it has several useful functions that are useful while performing regex operations. Python has a module that is dedicated to regular expressions.
Regular expression not operator python password#
Regex is also used in many development aspects such as form validations, password validation, pattern matching etc. It is mostly used with string to find characters, a sequence of characters, or substrings in a string. S = "abcabcacc" l = re.A regular expression or regex is a sequence of characters that define a search pattern. S = "abcabcacc" # Original string l = re.subn("abc","ddd",s) # adopt sub() Processed string print(l) Subn() Is used to replace strings, And returns the number of replacements (3)subn( regular, New string, Original string ) S = "abcabcacc" # Original string l = re.sub("abc","ddd",s) # adopt sub() Processed string print(l)ĭdddddacc # hold abc Replace all with ddd Sub() The function is to replace a string, for example ： （2）sub( regular, New string, Original string ) Returns all matching strings according to the regular expression, I won't say more about this, I've been introducing it before. Re Module in addition to the above findall() Out of function, There are other functions, Let's make an introduction ： S_compile= rule_compile.match(s) print(s_compile.span()) # use span() Processing returned objects Give an example ： use span() Come on search() Operate on the returned object ： Returns a tuple ：（ start, end ） Location of Returns the location where the match ended Let's introduce the method first, I'll give you another example later ,Match There are several common ways to use objects ： Since the object is returned, So let's talk about this next match It can be seen that the result is 1 individual match object, Start subscript position is 0~13,match by 010-123456789. Print compile() What is the returned object # print(rule_compile) s_compile = rule_compile.match(s) print(s_compile) # Just take the one above compile() The object returned after compiling the regular is used as an example, We don't need it here findall(), use match() Let's see what the results are ： Scan string, Find this re Matching location （ Just the first to find it ）ĭecision re Is it at the beginning of the string （ Match line beginning ） The use of regular objects is not just through what we introduced earlier findall() To use, It can also be used by other methods, The effect is different, Here I make a simple summary ：įind re All matching strings, Returns a list # Print compile() What is the returned object # print(rule_compile) s_compile = rule_compile.findall(s) print(s_compile) Stay Python in ,re Modules can be accessed via compile() Method to compile regular ,re.compile( regular expression ), for example ：
Regular expression not operator python how to#
Let's stop here about the commonly used metacharacters and how to use them, Let's take a look at other knowledge of regularity. ^ $ ? + Equivalent to the one mentioned earlier * Effect of Import re a = "abc123+-*" b = re.findall('abc',a) print(b) Most letters and characters can match themselves. Use findall（） The result returned is a list, In the list are strings that meet the regular requirements It's not hard to see findall（） Is composed of a regular expression and a target string, The target string is what you want to retrieve, So how to retrieve is through regular expressions, That's our focus today. įindall( regular expression, Target string ) Imported re The module is ready for use findall（） Method, Then we must be clear findall（） What is the grammar of. īefore using regular expressions, Import required re modular. Regular expressions are used in findall() Among methods, Most string retrieval can be done through findall() To complete. īefore we talk about regular expressions, We first need to know where to use regular expressions. Today, let's share a more detailed report on Python Regular expression dictionary, After learning, you will be proficient in regular expressions. Regular expressions are already embedded in Python in, By importing re The module can be used, As a beginner Python Most novices have heard ” regular “ This term. Regular as a utility for handling strings, stay Python It is often used in, For example, when crawlers crawl data, they often use regular to retrieve strings, and so on. Python Regular expression nanny Teaching, Take you to master the famous rules !
0 kommentar(er)
