是否有一种方法可以获取类实例上存在的属性列表?
class new_class():
def __init__(self, number):
self.multi = int(number) * 2
self.str = str(number)
a = new_class(2)
print(', '.join(a.SOMETHING))
期望的结果是输出"multi, str"。我希望它能看到脚本各个部分的当前属性。
是否有一种方法可以获取类实例上存在的属性列表?
class new_class():
def __init__(self, number):
self.multi = int(number) * 2
self.str = str(number)
a = new_class(2)
print(', '.join(a.SOMETHING))
期望的结果是输出"multi, str"。我希望它能看到脚本各个部分的当前属性。
当前回答
请参见以下Python shell脚本执行顺序,它将给出从创建类到提取实例字段名的解决方案。
>>> class Details:
... def __init__(self,name,age):
... self.name=name
... self.age =age
... def show_details(self):
... if self.name:
... print "Name : ",self.name
... else:
... print "Name : ","_"
... if self.age:
... if self.age>0:
... print "Age : ",self.age
... else:
... print "Age can't be -ve"
... else:
... print "Age : ","_"
...
>>> my_details = Details("Rishikesh",24)
>>>
>>> print my_details
<__main__.Details instance at 0x10e2e77e8>
>>>
>>> print my_details.name
Rishikesh
>>> print my_details.age
24
>>>
>>> my_details.show_details()
Name : Rishikesh
Age : 24
>>>
>>> person1 = Details("",34)
>>> person1.name
''
>>> person1.age
34
>>> person1.show_details
<bound method Details.show_details of <__main__.Details instance at 0x10e2e7758>>
>>>
>>> person1.show_details()
Name : _
Age : 34
>>>
>>> person2 = Details("Rob Pike",0)
>>> person2.name
'Rob Pike'
>>>
>>> person2.age
0
>>>
>>> person2.show_details()
Name : Rob Pike
Age : _
>>>
>>> person3 = Details("Rob Pike",-45)
>>>
>>> person3.name
'Rob Pike'
>>>
>>> person3.age
-45
>>>
>>> person3.show_details()
Name : Rob Pike
Age can't be -ve
>>>
>>> person3.__dict__
{'age': -45, 'name': 'Rob Pike'}
>>>
>>> person3.__dict__.keys()
['age', 'name']
>>>
>>> person3.__dict__.values()
[-45, 'Rob Pike']
>>>
其他回答
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.
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.
使用__dict__或vars是无效的,因为它会遗漏__slots__。 使用__dict__和__slots__不能工作,因为它从基类中遗漏了__slots__。 使用dir不能工作,因为它包含类属性,如方法或属性,以及对象属性。 使用vars相当于使用__dict__。
这是我最好的:
from typing import Dict
def get_attrs( x : object ) -> Dict[str, object]:
mro = type( x ).mro()
attrs = { }
has_dict = False
sentinel = object()
for klass in mro:
for slot in getattr( klass, "__slots__", () ):
v = getattr( x, slot, sentinel )
if v is sentinel:
continue
if slot == "__dict__":
assert not has_dict, "Multiple __dicts__?"
attrs.update( v )
has_dict = True
else:
attrs[slot] = v
if not has_dict:
attrs.update( getattr( x, "__dict__", { } ) )
return attrs
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)
>>> class new_class():
... def __init__(self, number):
... self.multi = int(number) * 2
... self.str = str(number)
...
>>> a = new_class(2)
>>> a.__dict__
{'multi': 4, 'str': '2'}
>>> a.__dict__.keys()
dict_keys(['multi', 'str'])
您可能还会发现pprint有帮助。