Python Full Stack Road Series Tuple Data Type

The only difference between a tuple and a list is that the list can be changed, but the tuple cannot be changed. Other functions are the same as the list

Two ways to create a tuple

One

ages = (11, 22, 33, 44, 55)

The second

ages = tuple((11, 22, 33, 44, 55))

If there is only one element in the ancestor, then a comma needs to be added, otherwise it will become a string.

In [1]: t = (1)

In [2]: t
Out[2]: 1

In [3]: type(t)
Out[3]: int

In [4]: t = (1,)

In [5]: t
Out[5]: (1,)

In [6]: type(t)
Out[6]: tuple

Methods possessed by tuples

View the number of occurrences of elements in the list

count(self, value):

Attribute	Description
value	The value of the element

>>> ages = tuple((11, 22, 33, 44, 55))
>>> ages
(11, 22, 33, 44, 55)
>>> ages.count(11)
1

Find the position of the element in the tuple

index(self, value, start=None, stop=None):

##valueThe value of the elementstartStarting positionstopEnding position

>>> ages = tuple((11, 22, 33, 44, 55))
>>> ages.index(11)
0
>>> ages.index(44)
3

Attribute	Description

List nesting

>>> T = (1,2,3,4,5)
>>> (x * 2 for x in T)
<generator object <genexpr> at 0x102a3e360>
>>> T1 = (x * 2 for x in T)
>>> T1
<generator object <genexpr> at 0x102a3e410>
>>> for t in T1: print(t)
... 
2
4
6
8
10

Tuple nesting modification

The elements of the tuple are unchangeable, but the elements of the tuple elements may be changeable The

>>> tup=("tup",["list",{"name":"ansheng"}])
>>> tup
('tup', ['list', {'name': 'ansheng'}])
>>> tup[1]
['list', {'name': 'ansheng'}]
>>> tup[1].append("list_a")
>>> tup[1]
['list', {'name': 'ansheng'}, 'list_a']

The element of the tuple itself cannot be modified, but if the element of the tuple is a list or dictionary, it can be modified

Slices modify immutable types in place

>>> T = (1,2,3)
>>> T = T[:2] + (4,)
>>> T
(1, 2, 4)

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