On Mon, 13 Feb 2006 22:18:56 -0500, Peter Hansen wrote:
> Thomas Girod wrote:
>> I'm trying to get a list of attributes from a class. The dir() function
>> seems to be convenient, but unfortunately it lists to much - i don't
>> need the methods, neither the built-in variables.
>>
>> In fact, all my variables are referencing to objects of the same type.
>> Can anyone suggest me a way to get this list of variables ?
>
> Does the __dict__ attribute help you? (Try viewing obj.__dict__ at the
> interpreter prompt and see if it has what you expect.
> obj.__dict__.keys() would be just the names of those attributes.)
>>> class Parrot(object):
... ATTR = None
... def method(self):
... return None
...
>>> dir(Parrot)
['ATTR', '__class__', '__delattr__', '__dict__', '__doc__', '__getattribute__',
'__hash__', '__init__', '__module__', '__new__', '__reduce__', '__reduce_ex__',
'__repr__', '__setattr__', '__str__', '__weakref__', 'method']
>>> Parrot.__dict__.keys()
['__module__', 'ATTR', 'method', '__dict__', '__weakref__', '__doc__']
So I guess the answer to that question is, while __dict__ gives less
information than dir, it still gives too much.
The thing to remember is that methods are attributes too, so it is a
little hard to expect Python to magically know which attributes you want
to see and which you don't. Although, I don't think it is too much to
expect Python to distinguish methods from non-method attributes.
However it is easy to use introspection to get what you need.
def introspect(obj):
attributes == dir(obj)
# get rid of attributes that aren't the right type
attributes = [a for a in attributes if \
type(getattr(obj, a)) == type(obj)]
# or filter any other way you like
return attributes
--
Steven.
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