>>> 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'])
You may also find pprint helpful.
Answer from Roger Pate on Stack Overflow>>> 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'])
You may also find pprint helpful.
dir(instance)
# or (same value)
instance.__dir__()
# or
instance.__dict__
Then you can test what type is with type() or if is a method with callable().
Setting list as a class attribute
Accessing attributes of a class
python - Getting attributes of a class - Stack Overflow
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Hi!
I just finished a turtle crossing ( a.k.a. Frogger) game as part of an online bootcamp. It uses the turtle library.
I managed quite easily, but there is one point which I can't really wrap my head around.
So I am generating Car class objects in random lanes. In order to be able to move them, query them in loops, etc. One of the init attributes is
self.cars = [ ]
Hence adding them to a list where I can apply different methods on them.
I remembered this from a previous lesson (snake game) but I still don't fully understand how an attribute can be a list.
Can someone explain this to a beginner?
Try the inspect module. getmembers and the various tests should be helpful.
EDIT:
For example,
class MyClass(object):
a = '12'
b = '34'
def myfunc(self):
return self.a
>>> import inspect
>>> inspect.getmembers(MyClass, lambda a:not(inspect.isroutine(a)))
[('__class__', type),
('__dict__',
<dictproxy {'__dict__': <attribute '__dict__' of 'MyClass' objects>,
'__doc__': None,
'__module__': '__main__',
'__weakref__': <attribute '__weakref__' of 'MyClass' objects>,
'a': '34',
'b': '12',
'myfunc': <function __main__.myfunc>}>),
('__doc__', None),
('__module__', '__main__'),
('__weakref__', <attribute '__weakref__' of 'MyClass' objects>),
('a', '34'),
('b', '12')]
Now, the special methods and attributes get on my nerves- those can be dealt with in a number of ways, the easiest of which is just to filter based on name.
>>> attributes = inspect.getmembers(MyClass, lambda a:not(inspect.isroutine(a)))
>>> [a for a in attributes if not(a[0].startswith('__') and a[0].endswith('__'))]
[('a', '34'), ('b', '12')]
...and the more complicated of which can include special attribute name checks or even metaclasses ;)
def props(cls):
return [i for i in cls.__dict__.keys() if i[:1] != '_']
properties = props(MyClass)
I've had a lot of issues getting information into and out of a list of classes that I've generated by iteration. In my latest project, I'm using PDF2image to open a pdf and store each page in a list of classes as well as a few other attributes unique to each page. My problem is that I have a really loose grip on how to handle data coming in and out of functions and particularly classes. Like in the following:
'class page():
def __init__(self, image, other_stuff)
Self. Image = image
Self. Other_stuff = otherPage_list = []
def pdfloader():
Pages = convert_from_bytes(path)
For page in pages:
Page_list.append(page(image = page, other_stuff = None))'
So like, in this example, I've appended 'page_list' with a new instance for each page that was pulled from the pdf and stored as an array. This works great. But now I have no idea how to access each instance to get the array, and then write 'other_stuff' to that instance.
(Also, sorry for the formatting, I'm writing this on mobile and I have to be in bed for work tomorrow. If it makes no sense, I'll take it down and re-post when I get the chance on desktop)