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This article mainly describes Python using iterators to capture the generator return value of the method, combined with a specific instance of the Python iterator to obtain the return value of the relevant operation skills, the need for friends can refer to the following
This example describes how Python uses iterato
This article mainly describes Python using iterators to capture the generator return value of the method, combined with a specific instance of the Python iterator to obtain the return value of the relevant operation skills, the need for friends can refer to the following
This example describes how Python uses iterato
This article mainly introduces the usage of the python generator. The example analyzes the usage skills of the python generator. if you need it, refer to the example in this article to illustrate the usage of the python generator.
Python 3.x study notes 5 (iterator and generator), python3.x
1. Iterator ):An object that can be called by the next () function and continuously returns the next value to become an Iterator: IteratorObjects that can be directly used for a for loop are collectively referred to as iteration objects: Iterable Iteration, as its name implies, is to repeat some things many times (as we do in the current loop ). A
The Python builder is a very powerful thing, especially after the python3.0 version. The simplest way to get people to understand the generator quickly.1, the normal wordingLet's look at an example, such as outputting a list of custom lengths, which is generally the case:The arguments passed here are 10, so you get a list of 10 elements:When I pass in 10W, the resulting list is very large, it also accounts
I think the thing that makes wheels is that anyone can do it. Just do it well or not, do it with your heart and you'll be elegant.Before using Java code generator, what pojodobodbo can be generated, so I also come to build a wheel of my own.The wheel of the thing is not necessary to do, trouble, and no one else to do well, then I would like to do, when it is a experience, see how the details are realized.Pre-Preparation:
A machine with
Beginner Python (14)--GeneratorBeginner Python, mainly finishing some of the learning points, this is the generator.#-*-coding:utf-8-*- " "' generative function: Reduce memory footprint, instead of creating all the elements in the list at once, but creating them when needed" " #There are 2 ways of creating generator
GeneratorFirst, yield operation modeWe define a generator as follows:def put_on (name): print ("Hi {}, the goods are coming, ready to move to the warehouse!") ". Format (name)) while True: goods = yield print (" goods [%s] has been moved to the warehouse by%s. "% (goods,name)) p = put_on (" Bigberg ") #输出G: \python\install\python.exe g:/python
filecount = tail (open (' e:/work.txt ')); #grep方法 used to look up a specific substring in the method builder above def grep (lines,searchtext): For line in lines: if searchtext on line: Yield line ; Lines = grep (FileCount, ' Tom '); #查找带有tom substring for line in lines: print (line);
Output Result:' Tom ', 120,132Summarize:The role of the generator: The value that will run when the program runs to yieldPassed to the yield pr
If the list element can be inferred from an algorithm, then we do not have to create a complete list, thus saving a lot of space.In Python, this side loop computes the mechanism, called the Generator (Generator). for in range (ten)]>>>1, 4, 9, +, (+), +, +, Bayi] for in range (+)>>> gList deduced for listG is the generator
the moving average1 #!/usr/bin/env python2 #_*_coding:utf-8_*_3 4 #average annual income for the year of 7th5 defAverager ():6Total =07Day =08Avrage =09 whileTrue:TenDay_num =yieldAvrage#return Avrage OneTotal + =Day_num ADay + = 1 -Avrage = total/ Day - the #avg = Averager () - #num = Next (avg) #激活生成器 avg.send (), nothing like send and next effect - #print (avg.send) #传值 next - #print (Avg.send )3.4 Builder with Adorner1 #!/usr/bin/env python2 #_*_codinglutf-8_*_3 4 defWrap (func):5
This article describes how to use Python iterators and generators. This article describes the next method, the _ iter _ method and examples of the iterator, and the code examples of the generator, for more information, see
I. Iterators
The iterator is only a container object and implements the iterator protocol. It has two basic methods:
1) next methodReturns the next element of the container.
2) _ iter _
. The relationship between an iterative object and an iterator1) Iterative object------> IteratorsAn iterative object. __iter__ ()-------> iterators' Alex ' = [1,2,3,4,5= L.__iter__() # iterator print(L1) # iterator follows iterator protocol # output: To determine whether an iterator is an object or an iteratorMethod Two (Isinstance is similar to type but more powerful than type )L = [1,2,3,4,5]l_iter= L.__iter__() fromCollectionsImportiterable fromCollectionsImportIteratorPrint(Isinst
1. Essence: Iterator2. Generator function:def func (): A=1 b=2 Yield a #返回第一个值 Yield b #返回第二个值ret = func () #拿到一个生成器Print (Next (ret)) #取第一个值Print (Next (ret)) #取第二个值Print (ret) #取第三个值 An error because there is no third value3. example of the generator listener file inputImport timedef tail (filename): with open (filename) as F: F.seek (0, 2) #从文件末尾算起 While True:
in the method builder above def grep (Lines,searchtext):For the lines:if searchtext in Line:yield line;lines = grep (FileCount, ' Tom '); #查找带有tom substring for line in Lines:print (line);Output Result:' Tom ', 120,132Summarize:the role of the generator: when the program runs to yield, the running value is passed to the yield program and the output can be considered to be paused at this time when the program is in the suspended state when the __next
function of the result of the iterator2. Yield is similar to return, except that yield can return multiple values, and return can return only one value3, follow the value of the iterator obj.__next__ (), trigger function execution, when run once obj.__next__ () The function will stop to the first yield, that is to say you write a few obj.__next__ () you function stop in the number of yieldExample:deffoo (x):Print('Play') whileX>0:yieldx x-=1Print('Game over') G=foo (5)Print(g.__next__())Pri
#define a generator that is the same as a function, except that the yield keyword, which is actually similar to returndefEasyyield ():yield1yield2#instantiate the generator with an object, bind to the variable, and get the content of yield by nextA =Easyyield ()Print(Next (a))Print(Next (a))#the second instance, the upgraded version of the generatordefLibs (): A, B=0,1 whiletrue:a,b= b,a+byielda foreachinch
Recently, the school has been a fan of my automation department of the bitter children's shoes left to do lesson set, almost bored to explode--with VB to implement the function generator, (language not limited)Guys don't know where to get the MATLAB version, so dozens of people on the basis of the revision modified to muddle through, but I really do not want to use MATLABWrite (if caught, dozens of people 0 points, that scene. ), with VB? Learn a lang
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