for property, value in vars(theObject).items():
print(property, ":", value)
Be aware that in some rare cases there's a __slots__
property, such classes often have no __dict__
.
dir()
is the simple way. See here:
Guide To Python Introspection
See inspect.getmembers(object[, predicate])
.
Return all the members of an object in a list of (name, value) pairs sorted by name. If the optional predicate argument is supplied, only members for which the predicate returns a true value are included.
>>> [name for name,thing in inspect.getmembers([])]
['__add__', '__class__', '__contains__', '__delattr__', '__delitem__',
'__delslice__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__',
'__getitem__', '__getslice__', '__gt__', '__hash__', '__iadd__', '__imul__', '__init__', '__iter__',
'__le__', '__len__', '__lt__', '__mul__', '__ne__', '__new__', '__reduce__','__reduce_ex__',
'__repr__', '__reversed__', '__rmul__', '__setattr__', '__setitem__', '__setslice__',
'__sizeof__', '__str__', '__subclasshook__', 'append', 'count', 'extend', 'index',
'insert', 'pop', 'remove', 'reverse', 'sort']
>>>
The __dict__
property of the object is a dictionary of all its other defined properties. Note that Python classes can override getattr
and make things that look like properties but are not in__dict__
. There's also the builtin functions vars()
and dir()
which are different in subtle ways. And __slots__
can replace __dict__
in some unusual classes.
Objects are complicated in Python. __dict__
is the right place to start for reflection-style programming. dir()
is the place to start if you're hacking around in an interactive shell.
for one-liners:
print vars(theObject)
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