下面是一个快速而简单的示例，演示了一个类如何根据使用getattr()执行的操作系统来触发save方法的不同版本。

import os

class Log(object):
    def __init__(self):
        self.os = os.name
    def __getattr__(self, name):
        """ look for a 'save' attribute, or just 
          return whatever attribute was specified """
        if name == 'save':
            try:
                # try to dynamically return a save 
                # method appropriate for the user's system
                return getattr(self, self.os)
            except:
                # bail and try to return 
                # a default save method
                return getattr(self, '_save')
        else:
            return getattr(self, name)

    # each of these methods could have save logic specific to 
    # the system on which the script is executed
    def posix(self): print 'saving on a posix machine'
    def nt(self): print 'saving on an nt machine'
    def os2(self): print 'saving on an os2 machine'
    def ce(self): print 'saving on a ce machine'
    def java(self): print 'saving on a java machine'
    def riscos(self): print 'saving on a riscos machine'
    def _save(self): print 'saving on an unknown operating system'

    def which_os(self): print os.name

现在让我们在一个例子中使用这个类:

logger = Log()

# Now you can do one of two things:
save_func = logger.save
# and execute it, or pass it along 
# somewhere else as 1st class:
save_func()

# or you can just call it directly:
logger.save()

# other attributes will hit the else 
# statement and still work as expected
logger.which_os()

我有时使用getattr(..)在代码中使用属性之前惰性地初始化次要属性。

比较以下内容:

class Graph(object):
    def __init__(self):
        self.n_calls_to_plot = 0

    #...
    #A lot of code here
    #...

    def plot(self):
        self.n_calls_to_plot += 1

:

class Graph(object):
    def plot(self):
        self.n_calls_to_plot = 1 + getattr(self, "n_calls_to_plot", 0)

The advantage of the second way is that n_calls_to_plot only appears around the place in the code where it is used. This is good for readability, because (1) you can immediately see what value it starts with when reading how it's used, (2) it doesn't introduce a distraction into the __init__(..) method, which ideally should be about the conceptual state of the class, rather than some utility counter that is only used by one of the function's methods for technical reasons, such as optimisation, and has nothing to do with the meaning of the object.

Python中的对象可以具有属性——数据属性和使用这些属性的函数(方法)。实际上，每个对象都有内置属性(在Python控制台中尝试dir(None)， dir(True)， dir(…)，dir(dir))。

例如，你有一个对象人，它有几个属性:名字，性别等。

访问这些属性(无论是方法还是数据对象)通常需要写:person.name, person。性别、person.the_method()等。

但是，如果在编写程序时不知道属性的名称怎么办?例如，您将属性名存储在名为attr_name的变量中。

if

attr_name = 'gender'

然后，不写了

gender = person.gender

你可以写

gender = getattr(person, attr_name)

一些做法:

Python 3.4.0 (default, Apr 11 2014, 13:05:11)

>>> class Person():
...     name = 'Victor'
...     def say(self, what):
...         print(self.name, what)
... 
>>> getattr(Person, 'name')
'Victor'
>>> attr_name = 'name'
>>> person = Person()
>>> getattr(person, attr_name)
'Victor'
>>> getattr(person, 'say')('Hello')
Victor Hello

如果对象中不存在具有给定名称的属性，getattr将引发AttributeError:

>>> getattr(person, 'age')
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
AttributeError: 'Person' object has no attribute 'age'

但是你可以传递一个默认值作为第三个参数，如果这个属性不存在，它将被返回:

>>> getattr(person, 'age', 0)
0

你可以使用getattr和dir来遍历所有属性名并获得它们的值:

>>> dir(1000)
['__abs__', '__add__', ..., '__trunc__', '__xor__', 'bit_length', 'conjugate', 'denominator', 'from_bytes', 'imag', 'numerator', 'real', 'to_bytes']

>>> obj = 1000
>>> for attr_name in dir(obj):
...     attr_value = getattr(obj, attr_name)
...     print(attr_name, attr_value, callable(attr_value))
... 
__abs__ <method-wrapper '__abs__' of int object at 0x7f4e927c2f90> True
...
bit_length <built-in method bit_length of int object at 0x7f4e927c2f90> True
...

>>> getattr(1000, 'bit_length')()
10

这样做的一个实际用途是找到所有名称以test开头的方法并调用它们。

与getattr类似的还有setattr，它允许你设置一个对象的属性。

>>> setattr(person, 'name', 'Andrew')
>>> person.name  # accessing instance attribute
'Andrew'
>>> Person.name  # accessing class attribute
'Victor'
>>>

setattr ()

我们使用setattr向类实例添加一个属性。我们传递类实例、属性名和值。

getattr ()

使用getattr可以检索这些值

例如

Employee = type("Employee", (object,), dict())

employee = Employee()

# Set salary to 1000
setattr(employee,"salary", 1000 )

# Get the Salary
value = getattr(employee, "salary")

print(value)

getattr的一个非常常见的用例是将数据映射到函数。

例如，在Django或Pylons这样的web框架中，getattr可以直接将web请求的URL映射到将要处理它的函数。例如，如果你看一下Pylons的路由，你会发现(至少在默认情况下)它分割了一个请求的URL，比如:

http://www.example.com/customers/list

分为“客户”和“列表”。然后它搜索名为CustomerController的控制器类。假设它找到该类，它创建该类的实例，然后使用getattr获取其list方法。然后调用该方法，将请求作为参数传递给它。

一旦你掌握了这个思想，扩展web应用程序的功能就变得非常容易:只需向控制器类添加新的方法，然后在页面中创建链接，为这些方法使用适当的url。所有这些都是由getattr实现的。

我在Python2.7.17中尝试过

有些人已经回答了。不过我已经试过打电话了 getattr(obj， 'set_value')，这没有执行set_value方法，所以我改为getattr(obj， 'set_value')()——>这有助于调用相同的。

示例代码:

示例1:

    class GETATT_VERIFY():
       name = "siva"
       def __init__(self):
           print "Ok"
       def set_value(self):
           self.value = "myself"
           print "oooh"
    obj = GETATT_VERIFY()
    print getattr(GETATT_VERIFY, 'name')
    getattr(obj, 'set_value')()
    print obj.value