![]() Note: If an empty iterable is passed to all(), the method returns True! This is because the code for all() checks if there are any False elements in the iterable, and in the case of an empty list there are no elements and therefore there are no False elements either. Print( "Are all the strings shorter than 8? " + str( all(list_shorter_than_8)))ĭo all the strings begin with an uppercase letter? False Print( "Do all the strings begin with an uppercase letter? " + str( all(list_begins_upper))) List_begins_upper = list( map( lambda x: x.isupper(), old_list)) Again, if all() is used with a dictionary, it checks whether all of the keys evaluate to True, not the values.Īnother similarity with any() is that all() is also commonly used in combination with the map() function and list comprehensions: old_list = Note: Just like with any(), unexpected behavior may happen when passing dictionaries and data types other than boolean. The method returns True only if every element in iterable evaluates to True, and False otherwise: print( all()) It is used to replace loops similar to this one: for element in iterable: The all(iterable) method evaluates like a series of and operators between each of the elements in the iterable we passed. If you'd like to read more about the map(), filter() and reduce() functions, we've got you covered! all() Note: If an empty iterable is passed to any(), the method returns False. Print( "Are any of the elements odd? " + str( any(list_if_odd))) Print( "Are any of the elements even? " + str( any(list_if_even))) List_if_even = list( map( lambda x: x % 2 = 0, old_list)) The method any() is often used in combination with the map() method and list comprehensions: old_list = Whereas, if any() checked the values, the output would have been False. Output: (2 = 2) or (3 = 3) evaluates to: True The or operator evaluates to True if any of the conditions (operands) are True. Let's remind ourselves how the and/ or operators work, as these functions are based on them. They are both convenience functions that shorten the code by replacing boilerplate loops.īoth methods short-circuit and return a value as soon as possible, so even with huge iterables, they're as efficient as they can be. Both functions are equivalent to writing a series of or and and operators respectively between each of the elements of the passed iterable. The any(iterable) and all(iterable) are built-in functions in Python and have been around since Python 2.5 was released. In this tutorial, we'll be covering the any() and all() functions in Python. ![]()
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