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
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.
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.
人们经常提到,要列出一个完整的属性列表,应该使用dir()。但是请注意,与普遍观点相反,dir()并没有显示所有属性。例如,你可能会注意到__name__可能在类的dir()列表中缺失,即使你可以从类本身访问它。从dir()的文档(Python 2, Python 3):
因为提供dir()主要是为了方便在 交互式提示符,它试图提供一组有趣的名称 它不仅仅是试图提供一个严格或一致定义的集合 的名称,其详细行为可能在不同版本之间更改。为 属性时,元类属性不在结果列表中 参数是一个类。
像下面这样的函数往往更完整,尽管不能保证完整性,因为dir()返回的列表可能受到许多因素的影响,包括实现__dir__()方法,或在类或其父类之一上自定义__getattr__()或__getattribute__()。详情请参阅所提供的链接。
def dirmore(instance):
visible = dir(instance)
visible += [a for a in set(dir(type)).difference(visible)
if hasattr(instance, a)]
return sorted(visible)
请参阅已按顺序执行的python shell脚本,在这里您将获得以逗号分隔的字符串格式的类属性。
>>> class new_class():
... def __init__(self, number):
... self.multi = int(number)*2
... self.str = str(number)
...
>>> a = new_class(4)
>>> ",".join(a.__dict__.keys())
'str,multi'<br/>
我使用的是python 3.4
attributes_list = [attribute for attribute in dir(obj) if attribute[0].islower()]
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.