做这件事的方法不止一种:

#! /usr/bin/env python3
#
# This demonstrates how to pick the attiributes of an object

class C(object) :

  def __init__ (self, name="q" ):
    self.q = name
    self.m = "y?"

c = C()

print ( dir(c) )

当运行时，这段代码产生:

jeffs@jeff-desktop:~/skyset$ python3 attributes.py 
['__class__', '__delattr__', '__dict__', '__dir__', '__doc__',      '__eq__', '__format__', '__ge__', '__getattribute__', '__gt__', '__hash__', '__init__', '__le__', '__lt__', '__module__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__', 'm', 'q']

jeffs@jeff-desktop:~/skyset$

获取对象的属性

class new_class():
    def __init__(self, number):
    self.multi = int(number) * 2
    self.str = str(number)

new_object = new_class(2)                
print(dir(new_object))                   #total list attributes of new_object
attr_value = new_object.__dict__         
print(attr_value)                        #Dictionary of attribute and value for new_class                   

for attr in attr_value:                  #attributes on  new_class
    print(attr)

输出

['__class__', '__delattr__', '__dict__', '__dir__', '__doc__','__eq__', '__format__', '__ge__', '__getattribute__', '__gt__', '__hash__', '__init__', '__init_subclass__', '__le__', '__lt__', '__module__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__', 'multi', 'str']

{'multi': 4, 'str': '2'}

multi
str

除了这些答案之外，我还将包括一个函数(python 3)，用于输出任何值的几乎整个结构。它使用dir来建立属性名的完整列表，然后对每个名称使用getattr。它会显示值的每个成员的类型，如果可能的话还会显示整个成员:

import json

def get_info(obj):

  type_name = type(obj).__name__
  print('Value is of type {}!'.format(type_name))
  prop_names = dir(obj)

  for prop_name in prop_names:
    prop_val = getattr(obj, prop_name)
    prop_val_type_name = type(prop_val).__name__
    print('{} has property "{}" of type "{}"'.format(type_name, prop_name, prop_val_type_name))

    try:
      val_as_str = json.dumps([ prop_val ], indent=2)[1:-1]
      print('  Here\'s the {} value: {}'.format(prop_name, val_as_str))
    except:
      pass

现在，以下任何一项都应该让你有所了解:

get_info(None)
get_info('hello')

import numpy
get_info(numpy)
# ... etc.

>>> ', '.join(i for i in dir(a) if not i.startswith('__'))
'multi, str'

这当然会打印类定义中的任何方法或属性。你可以通过将i.startwith('__')更改为i.startwith('_')来排除“私有”方法。

你可以使用dir(your_object)来获取属性，使用getattr(your_object, your_object_attr)来获取值

用法:

for att in dir(your_object):
    print (att, getattr(your_object,att))

如果你的对象没有__dict__，这特别有用。如果不是这样，你也可以尝试var(your_object)

你要这个干什么?如果不知道你的确切意图，可能很难得到最好的答案。

It is almost always better to do this manually if you want to display an instance of your class in a specific way. This will include exactly what you want and not include what you don't want, and the order will be predictable. If you are looking for a way to display the content of a class, manually format the attributes you care about and provide this as the __str__ or __repr__ method for your class. If you want to learn about what methods and such exist for an object to understand how it works, use help. help(a) will show you a formatted output about the object's class based on its docstrings. dir exists for programatically getting all the attributes of an object. (Accessing __dict__ does something I would group as the same but that I wouldn't use myself.) However, this may not include things you want and it may include things you do not want. It is unreliable and people think they want it a lot more often than they do. On a somewhat orthogonal note, there is very little support for Python 3 at the current time. If you are interested in writing real software you are going to want third-party stuff like numpy, lxml, Twisted, PIL, or any number of web frameworks that do not yet support Python 3 and do not have plans to any time too soon. The differences between 2.6 and the 3.x branch are small, but the difference in library support is huge.