在python的官方文档中:getattr()的解释如下:
getattr(object, name[, default]) Return the value of the named attribute of object. name must be a string. If the string is the name of one of the object's attributes, the result is the value of that attribute. For example, getattr(x, 'foobar') is equivalent to x.foobar. If the named attribute does not exist, default is returned if provided, otherwise AttributeError is raised.
根据属性名称返回对象值。如果“name”是对对象属性的名称,则返回对应属性的值。
'# -*- coding: utf-8 -*-' __author__ = 'lucas' class attrtest(object): def __init__(self): pass def trygetattr0(self): self.name = 'lucas' print self.name #equals to self.name print getattr(self,'name') def attribute1(self,para1): print 'attribute1 called and '+ para1+' is passed in as a parameter' def trygetattr(self): fun = getattr(self,'attribute1') print type(fun) fun('crown') if __name__=='__main__': test = attrtest() print 'getattr(self,\'name\') equals to self.name ' test.trygetattr0() print 'attribute1 is indirectly called by fun()' test.trygetattr() print 'attrribute1 is directly called' test.attribute1('tomato')
这段代码执行的结果是:
getattr(self,'name') equals to self.name lucas lucas attribute1 is indirectly called by fun() <type 'instancemethod'> attribute1 called and crown is passed in as a parameter attrribute1 is directly called attribute1 called and tomato is passed in as a parameter Process finished with exit code 0
第一个函数tryattribute0()非常好理解,就如同定义里说的一样。第二个函数tryattribute1()就有一点费解了。其实原理并不复杂,我们看到fun的type是 instancemethod,这里你可以认为:对于函数,getattr()的返回值是一个指针,指针赋值给接受它的变量,以后call这个变量就等于调用变量指向的函数。
原理我们知道了,那getattr的作用是什么呢?
你熟悉java或者c#中的反射么?反射的一个重要作用就是延迟加载,这样可以解耦,这样可以让系统运行的更有效率。作为动态语言,python显然在这方面要更加强大,
getattr()就是实现python反射的一块积木,结合其它方法如setattr(),dir() 等,我们可以做出很多有趣的事情。
我们看以下场景:
1.我需要在一个类中动态添加其它类中有的方法:
#如果类A中有如下方法: def addnewattributesfromotherclass(self,class_name): func_names = dir(class_name) for func_name in func_names: if not func_name.startswith('_'): new_func = getattr(class_name,func_name) self.__setattr__(func_name,new_func())
我们只需要:
a = A() b = B() a.addnewattributesfromotherclass(b)
这样a就可以调用B中的'非私有'方法啦。

InPython,youappendelementstoalistusingtheappend()method.1)Useappend()forsingleelements:my_list.append(4).2)Useextend()or =formultipleelements:my_list.extend(another_list)ormy_list =[4,5,6].3)Useinsert()forspecificpositions:my_list.insert(1,5).Beaware

The methods to debug the shebang problem include: 1. Check the shebang line to make sure it is the first line of the script and there are no prefixed spaces; 2. Verify whether the interpreter path is correct; 3. Call the interpreter directly to run the script to isolate the shebang problem; 4. Use strace or trusts to track the system calls; 5. Check the impact of environment variables on shebang.

Pythonlistscanbemanipulatedusingseveralmethodstoremoveelements:1)Theremove()methodremovesthefirstoccurrenceofaspecifiedvalue.2)Thepop()methodremovesandreturnsanelementatagivenindex.3)Thedelstatementcanremoveanitemorslicebyindex.4)Listcomprehensionscr

Pythonlistscanstoreanydatatype,includingintegers,strings,floats,booleans,otherlists,anddictionaries.Thisversatilityallowsformixed-typelists,whichcanbemanagedeffectivelyusingtypechecks,typehints,andspecializedlibrarieslikenumpyforperformance.Documenti

Pythonlistssupportnumerousoperations:1)Addingelementswithappend(),extend(),andinsert().2)Removingitemsusingremove(),pop(),andclear().3)Accessingandmodifyingwithindexingandslicing.4)Searchingandsortingwithindex(),sort(),andreverse().5)Advancedoperatio

Create multi-dimensional arrays with NumPy can be achieved through the following steps: 1) Use the numpy.array() function to create an array, such as np.array([[1,2,3],[4,5,6]]) to create a 2D array; 2) Use np.zeros(), np.ones(), np.random.random() and other functions to create an array filled with specific values; 3) Understand the shape and size properties of the array to ensure that the length of the sub-array is consistent and avoid errors; 4) Use the np.reshape() function to change the shape of the array; 5) Pay attention to memory usage to ensure that the code is clear and efficient.

BroadcastinginNumPyisamethodtoperformoperationsonarraysofdifferentshapesbyautomaticallyaligningthem.Itsimplifiescode,enhancesreadability,andboostsperformance.Here'showitworks:1)Smallerarraysarepaddedwithonestomatchdimensions.2)Compatibledimensionsare

ForPythondatastorage,chooselistsforflexibilitywithmixeddatatypes,array.arrayformemory-efficienthomogeneousnumericaldata,andNumPyarraysforadvancednumericalcomputing.Listsareversatilebutlessefficientforlargenumericaldatasets;array.arrayoffersamiddlegro


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

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

Atom editor mac version download
The most popular open source editor

WebStorm Mac version
Useful JavaScript development tools
