![]() KeyError is raised if an item is not a member of the set remove()- used to remove an item from the set.pop()- used to return and remove an arbitrary set item, KeyError is raised if the set is empty. PYTHON SET AS ELEMENT IN LIST UPDATEintersection_update()- used to update a set with the intersection of another set and itself.intersection()- used to return a new set as intersection of two sets.difference_update()- used to remove intersecting items from this set.difference()- used to return a new set as the difference of two or more sets.union()- used to return a new set as a union of sets.If the item is not an element, then nothing is done discard()- used to remove an item from the set.clear()- used to remove all items of the set.copy()- used to return a copy of the set.add()- used to add a single item to the set.update()- used to update the set with union of others and itself.Below is a list of all the available methods for the set objects: We have seen the use of some of the above. The len() method is used to determine the number of items a set has. The elements can be of the form lists, tuples, strings, or sets in the update() method. We use the add() method to add a single element and update() method when multiple elements are to be added. Indexing or slicing cannot change or access an item of a set as a python set does not support it. However, mutable elements such as dictionaries, lists, or sets are not allowed as its elements. As per definition, a set can have any number and any items. The built-in set() function can also be used to create a set in python. Set items can be of any data type: String, Boolean, tuple, float, int. As we mentioned, all set items need to be unique because duplicates are not allowed. Due to this, set items cannot be referred to by key or index.Īfter a set is created, its items cannot be changed. Thus, items in a set do not appear in a stipulated manner, i.e., they can appear in a different order every time it is used. Items of a set in python are immutable (unchangeable), do not duplicate values, and unordered. ![]()
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