Is there a method like isiterable
? The only solution I have found so far is to call
hasattr(myObj, '__iter__')
But I am not sure how fool-proof this is.
Lists, tuples, dictionaries, and sets are all iterable objects. They are iterable containers which you can get an iterator from.
Iterable is an object which can be looped over or iterated over with the help of a for loop. Objects like lists, tuples, sets, dictionaries, strings, etc. are called iterables. In short and simpler terms, iterable is anything that you can loop over.
The iterable protocol Some built-in types are built-in iterables with a default iteration behavior, such as Array or Map , while other types (such as Object ) are not.
If you are running your Python code and you see the error “TypeError: 'int' object is not iterable”, it means you are trying to loop through an integer or other data type that loops cannot work on. In Python, iterable data are lists, tuples, sets, dictionaries, and so on.
Checking for __iter__
works on sequence types, but it would fail on e.g. strings in Python 2. I would like to know the right answer too, until then, here is one possibility (which would work on strings, too):
from __future__ import print_function try: some_object_iterator = iter(some_object) except TypeError as te: print(some_object, 'is not iterable')
The iter
built-in checks for the __iter__
method or in the case of strings the __getitem__
method.
Another general pythonic approach is to assume an iterable, then fail gracefully if it does not work on the given object. The Python glossary:
Pythonic programming style that determines an object's type by inspection of its method or attribute signature rather than by explicit relationship to some type object ("If it looks like a duck and quacks like a duck, it must be a duck.") By emphasizing interfaces rather than specific types, well-designed code improves its flexibility by allowing polymorphic substitution. Duck-typing avoids tests using type() or isinstance(). Instead, it typically employs the EAFP (Easier to Ask Forgiveness than Permission) style of programming.
...
try: _ = (e for e in my_object) except TypeError: print my_object, 'is not iterable'
The collections
module provides some abstract base classes, which allow to ask classes or instances if they provide particular functionality, for example:
from collections.abc import Iterable if isinstance(e, Iterable): # e is iterable
However, this does not check for classes that are iterable through __getitem__
.
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