Data
This chapter discusses in detail some of the knowledge that has been learned and introduces some new knowledge.
Detailed description of the list
All the methods of the list are as follows:
List.append (x): Attaches an element to the end of the list, equivalent to A[len (a):] = [x].
List.extend (L): the contents of the appended list L are behind the current list, which is equivalent to A[len (a):] = L.
List.insert (i, X): Inserts x at the specified position I. I means the insertion position, the original I position if there is an element that moves back one position, for example A.insert (0, X) is inserted into the list header, and A.insert (Len (a), x) is equivalent to A.append (x).
List.remove (x): Removes the first element in the list that has a value of x. If not, error.
List.pop ([i]): The output list specifies the position of the element and returns it to that element. If no index is specified for the last element. The square brackets indicate that I is optional.
List.index (x): Returns the index of the first element with a value of x. If not, then an error.
List.count (x): Returns the number of occurrences of x in the list.
List.sort (Cmp=none, Key=none, Reverse=false): Sorts the elements in the linked list in place.
List.reverse (): Reverses the element in place.
Instance:
>>> a = [66.25, 333, 333, 1, 1234.5]>>> print A.count (333), A.count (66.25), A.count (' X ') 2 1 0>>> ; A.insert (2,-1) >>> a.append (333) >>> a[66.25, 333,-1, 333, 1, 1234.5, 333]>>> a.index (333) 1& Gt;>> A.remove (333) >>> a[66.25,-1, 333, 1, 1234.5, 333]>>> a.reverse () >>> a[333, 1234.5, 1, 333,-1, 66.25]>>> a.sort () >>> a[-1, 1, 66.25, 333, 333, 1234.5]>>> A.pop () 1234.5> ;>> a[-1, 1, 66.25, 333, 333]
Use the linked list as a stack
The stack is LIFO. Use append (), out of use pop (). For example:
>>> stack = [3, 4, 5]>>> stack.append (6) >>> Stack.append (7) >>> stack[3, 4, 5, 6, 7]> ;>> Stack.pop () 7>>> stack[3, 4, 5, 6]>>> stack.pop () 6>>> stack.pop () 5>>> Stack[3, 4]
Use the list as a queue
List FIFO first. It is not efficient to insert or delete elements in a list header because other related elements need to be moved and Collections.deque is recommended.
>>> from collections import deque>>> queue = deque (["Eric ", " John ", " Michael "]) >>> queue.append (" Terry ") # terry arrives>>> queue.append ("Graham") # graham arrives>>> queue.popleft () # The first to arrive now leaves ' Eric ' >>> queue.popleft () # The Second to arrive now leaves ' John ' >>> queue # remAining queue in order of arrivaldeque ([' Michael ', ' Terry ', ' Graham '])
Functional Programming tools
For the list, there are three built-in functions that are useful: filter (), map (), and reduce ().
The filter (function, sequence) returns a subsequence with a function (item) of True. Will try to return and sequence the same type). Sequence returns the same type when it is a string or tuple, and other cases returns a list. Example: Returns an integer that cannot be divisible by 2 and 3:
>>> def f (x): return x% 2! = 0 and x% 3! = 0...>>> Filter (f, Range (2, 25)) [5, 7, 11, 13, 17, 19, 23]
Map (function, sequence) invokes function (item) for each element and returns the return value as a list. For example, the calculation cube:
>>> def Cube (x): Return x*x*x...>>> Map (cube, range (1, 11)) [1, 8, 27, 64, 125, 216, 343, 512, 729, 1000]
PyautoguiResources
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Python 2.7 Official English tutorial: https://docs.python.org/2/tutorial/
Python 2.7 Chinese tutorial and automated test Introduction (3)--to be sorted