How to compare type of an object in Python?
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Chapters
00:00 How To Compare Type Of An Object In Python?
00:20 Accepted Answer Score 330
00:35 Answer 2 Score 26
00:51 Answer 3 Score 44
01:10 Answer 4 Score 20
02:13 Thank you
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Full question
https://stackoverflow.com/questions/7076...
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Content licensed under CC BY-SA
https://meta.stackexchange.com/help/lice...
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Tags
#python #types #compare
#avk47
ACCEPTED ANSWER
Score 330
isinstance()
In your case, isinstance("this is a string", str) will return True.
You may also want to read this: http://www.canonical.org/~kragen/isinstance/
ANSWER 2
Score 44
isinstance works:
if isinstance(obj, MyClass): do_foo(obj)
but, keep in mind: if it looks like a duck, and if it sounds like a duck, it is a duck.
EDIT: For the None type, you can simply do:
if obj is None: obj = MyClass()
ANSWER 3
Score 26
For other types, check out the types module:
>>> import types
>>> x = "mystring"
>>> isinstance(x, types.StringType)
True
>>> x = 5
>>> isinstance(x, types.IntType)
True
>>> x = None
>>> isinstance(x, types.NoneType)
True
P.S. Typechecking is a bad idea.
ANSWER 4
Score 20
You can always use the type(x) == type(y) trick, where y is something with known type.
# check if x is a regular string
type(x) == type('')
# check if x is an integer
type(x) == type(1)
# check if x is a NoneType
type(x) == type(None)
Often there are better ways of doing that, particularly with any recent python. But if you only want to remember one thing, you can remember that.
In this case, the better ways would be:
# check if x is a regular string
type(x) == str
# check if x is either a regular string or a unicode string
type(x) in [str, unicode]
# alternatively:
isinstance(x, basestring)
# check if x is an integer
type(x) == int
# check if x is a NoneType
x is None
Note the last case: there is only one instance of NoneType in python, and that is None. You'll see NoneType a lot in exceptions (TypeError: 'NoneType' object is unsubscriptable -- happens to me all the time..) but you'll hardly ever need to refer to it in code.
Finally, as fengshaun points out, type checking in python is not always a good idea. It's more pythonic to just use the value as though it is the type you expect, and catch (or allow to propagate) exceptions that result from it.