Python’s set.intersection(sets) creates and returns a new set consisting of the elements that are members of all sets — this and the set argument(s). The resulting set has at most as many elements as any other set given in the argument list. Here’s a minimal example that creates a new set arising from the intersection … Read more
Python’s set.issubset(set) returns True if all elements of this set are members of the specified set argument. It determines whether the set on which the method is called is the subset of the specified set. Here’s a minimal example that checks whether sets s is a subset of t: Another minimal Harry Potter example: Syntax … Read more
Python’s set.issuperset(set) returns True if all elements of the specified set argument are members of this set. It determines whether the set on which the method is called is the superset of the specified set. Here’s a minimal example that checks whether set s is a superset of t: Another minimal Harry Potter example: Syntax … Read more
Python’s set.pop() method removes and returns an arbitrary element from the set. If no element is present — that is, you call it on an empty set — set.pop() raises a KeyError. Here’s a minimal example where you remove a string element that happens to be ‘Alice’ from the set by means of the s.pop() … Read more
Python’s S.symmetric_difference_update(T) determines all elements that are in exactly one of the two sets S or T and updates set S with those elements. Here’s a minimal example where we update an existing set to consist of elements 1 and 4 that are in exactly one of the two sets s and t. Here’s another … Read more
Python’s set.add(element) method adds the element to this set. If the element is already present in the set, the method returns without any side effect. Here’s a minimal example where we add element 4 to an existing set: Syntax Let’s dive into the formal syntax of the set.add() method. set.add(element) Argument Data Type Explanation element … Read more
Python’s set.union(set_1, set_2, …) creates and returns a new set consisting of the elements that are members of any of the involved sets. The resulting set has at least as many elements as any other set given in the argument list. Here’s a minimal example that creates a new set arising from the union of … Read more
Python’s set.update(set_1, set_2, …) performs the union of all involved sets and updates the set on which it is called. It adds all members of the set argument(s) to the set on which it is called. For example, s.update({1, 2}) adds elements 1 and 2 to the original set s. Here’s a minimal example that … Read more
All set methods are called on a given set. For example, if you created a set s = {1, 2, 3}, you’d call s.clear() to remove all elements of the set. We use the term “this set” to refer to the set on which the method is executed. add() Add an element to this set … Read more
Problem Formulation There are different variants of this problem that all ask the same thing: How to create a function dynamically in Python? How to define a function at runtime? How to define a function programmatically? How to create a function from a string? There are many ways to answer these questions—most web resources provide … Read more
The most Pythonic way to convert a list of strings to a list of ints is to use the list comprehension [int(x) for x in strings]. It iterates over all elements in the list and converts each list element x to an integer value using the int(x) built-in function. This article shows you the simplest … Read more
The most Pythonic way to convert a list of strings to a list of floats is to use the list comprehension floats = [float(x) for x in strings]. It iterates over all elements in the list and converts each list element x to a float value using the float(x) built-in function. This article shows you … Read more