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This article shows you what the built-in data structures in Python are, which are concise and easy to understand, which will definitely brighten your eyes. I hope you can get something through the detailed introduction of this article.

List list

Features: there are several ways to manage data

Common methods

Add an element at the end of list.append (x)

Append a set of elements to the end of list.extend (x)

List.insert (iPermine x) inserts an element before subscript I

List.remove (x) deletes an element (if there are multiple identical elements, delete the first one)

Del list [I] deletes the element of subscript I

List.pop (I) pops up the element of subscript I (can be left empty, default to-1)

List.clear () empties the list

List [I] = n replace the elements of subscript I

List.index (n) finds the subscript of element n

List.count (n) finds the number of times element n appears in the list

List.sort () sorts the list in ascending order

Tuple tuple

Properties: data cannot be modified, so it is more efficient than lists

Common methods

Tuple.index (n) finds the subscript of element n in the list

Tuple.count (n) finds the number of times element n appears in the list

Special

The only way to change the tuple is to reassign it.

Dict dictionary

Properties: mapping type, storing data as a pair of key values, keys immutable

Because it is a mapping relationship, the value can only be found by key, so there is no index value.

Common methods

Dict [key] = value add / replace an element

Dict1.update (dict2) add / replace a set of elements

Dict.clear () empties the dictionary

Dict.pop (key) pops up the corresponding key element

Dict.get (key,default) returns the value of the corresponding key, otherwise it returns default. Default None

Special

Dict.keys () # returns the iterative object key

Dict.values () # returns the iterative object value

Dict.items () # returns a tuple of iterative object key values

Set collection

Properties: elements are not repetitive and out of order

Common methods

Set.add () add element

Set1.update (set2) add a new collection

Set.remove (n) deletes an element, if it does not exist, it will report a KeyError error

Set.discard (n) deletes an element, or pass if it does not exist

Set.clear () clears the collection

Special

Operations that can be done for multiple collections

S1-S2 difference set

S1 & S2 find the intersection

S1 | S2 merge set

S1 ^ S2 to find the symmetrical complement

Common method

Count the number of len ()

Max () to find the maximum

Min () to find the minimum

It is worth mentioning that strings can be divided into sizes in dictionary order.

What are the built-in data structures in Python? have you learned any knowledge or skills? If you want to learn more skills or enrich your knowledge reserve, you are welcome to follow the industry information channel.

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