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The filter() function in Python


The map(), filter() and reduce() functions bring a bit of functional programming to Python. All three of these are convenience functions that can be replaced with List comprehensions or loops but provide a more elegant and short-hand approach to some problems

filter() function

Similar to map(), filter() takes a function object and an iterable and creates a new list. As the name suggests, filter() forms a new list that contains only elements that satisfy a certain condition.


filter(function, iterables(s))


def starts_with_A(s):
	return s[0] == "A"

fruit = ["Apple", "Banana", "Pear", "Apricot", "Orange"]

filter_object = filter(starts_with_A, fruit)


['Apple', 'Apricot']

It can be also done by using a lambda function like map().