对我来说，getattr是最简单的解释方式:

它允许您根据字符串的内容调用方法，而不是键入方法名称。

例如，你不能这样做:

obj = MyObject()
for x in ['foo', 'bar']:
    obj.x()

因为x不是内置类型，而是str。然而，你可以这样做:

obj = MyObject()
for x in ['foo', 'bar']:
    getattr(obj, x)()

它允许您根据输入动态地连接对象。我发现它在处理自定义对象和模块时很有用。

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.

对我来说，getattr是最简单的解释方式:

它允许您根据字符串的内容调用方法，而不是键入方法名称。

例如，你不能这样做:

obj = MyObject()
for x in ['foo', 'bar']:
    obj.x()

因为x不是内置类型，而是str。然而，你可以这样做:

obj = MyObject()
for x in ['foo', 'bar']:
    getattr(obj, x)()

它允许您根据输入动态地连接对象。我发现它在处理自定义对象和模块时很有用。

# getattr

class hithere():

    def french(self):
        print 'bonjour'

    def english(self):
        print 'hello'

    def german(self):
        print 'hallo'

    def czech(self):
        print 'ahoj'

    def noidea(self):
        print 'unknown language'


def dispatch(language):
    try:
        getattr(hithere(),language)()
    except:
        getattr(hithere(),'noidea')()
        # note, do better error handling than this

dispatch('french')
dispatch('english')
dispatch('german')
dispatch('czech')
dispatch('spanish')

它也从https://www.programiz.com/python-programming/methods/built-in/getattr澄清

class Person:
    age = 23
    name = "Adam"

person = Person()
print('The age is:', getattr(person, "age"))
print('The age is:', person.age)

年龄:23岁

年龄:23岁

class Person:
    age = 23
    name = "Adam"

person = Person()

# when default value is provided
print('The sex is:', getattr(person, 'sex', 'Male'))

# when no default value is provided
print('The sex is:', getattr(person, 'sex'))

性别:男性

AttributeError: 'Person'对象没有属性'sex'

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()