Wednesday, 26 June 2019

Tuple

Tuple data type:

A tuple is a collection of elements/items of different data types is called tuple.
A tuple is similar to list. Elements are separated by comma operator and enclosed within parentheses ().

Difference between list and tuple isList elements can be modified as it is mutable. Whereas tuple elements can not be modified as it is immutable. So tuple is treated as a read-only list.

Syntax:
Variable=(item1,item2,….)

Example:
t=(10,-20,10,2.4,”raj”,”$”,True)

Individual elements of the tuple can be referenced using square braces as a[0],a[1]

Ex:

a=(10,20,30,40)#collection of items like arrays
a=(10,-20,12.5,'Ravi',"Sita") # A tuple may have different types like objects
a=(10,-20,10)  #duplication
a[1]=30 # Error
print(a[0]) à 10
a=(10,20,30,40)
print(a):-> (10,20,30,40)
print(a[1:3]) :-20,30
print(a[-1]):->40
print(a*2):-> 10,20,30,40,10,20,30,40


Ex1:
a=(10,20,30)
a[0]=40 #error as it is immutable

A tuple can be modified when we list is initialised in a tuple
Example:
>>> t=(2,3,[4,5])
>>> t[0]
2
>>> t[1]
3
>>> t[1]=7
>>>t[1]
7
>>> t[2]
[4, 5]
>>> t[2][0]=6
>>> print(t)
(2, 7, [6, 5])
>>> 

Creating a tuple with one element within parentheses is not enough. We should give comma separator to indicate it is tuple.
Ex:
>>> a=("ravi")
>>> type(a)
<class 'str'>
>>> a=("ravi",)
>>> type(a)
<class 'tuple'>

Individual elements can be accessed by using square brackets [ ].
>>> a=(10,20,30)
>>> a[0]
10
>>> a[1]
20
>>> a(0) # Error as to access any element we should use [ ]

Packing and unpacking tuples:
A tuple can also be created without using parentheses. This is called packing tuples
Ex:
>>> t=3,4,6,"ravi"
>>> print(t)
(3, 4, 6, 'ravi')

Unpacking:
>>> a,b,c,d=t
>>> a
3
>>> b
4
>>> c
6
>>> d
'ravi'
>>> a,b,c=t # Error because no of elements and no of variable should be matched.

1.  Slicing operation in Tuple:

We can access a range of items in a tuple by using the slicing operator (:)

Example:
a=(2,3,4,5)
print(a[1:3])
output:
(3,4)

2. Concatenation of tuple

We can use + operator to combine two tuples. This is called concatenation.
Ex:
>>> a=(2,4,6) #tuple a is created
>>> b=(7,2.4,8,True) #tuple b is created
>>> print(a+b)
(2, 4, 6, 7, 2.4, 8, True)

Ex2:
a=(10,20,30)
print(type(a)) #<class 'tuple'>
print(a)#(10, 20, 30)
print(id(a))#59342480
a=a+(40,)
print("after concatenation")
print(a)#(10, 20, 30, 40)

print(id(a))#66274000

3. Repeating the tuple elements

We can also repeat the elements in a tuple for a given number of times using the * operator.
Both + and * operations result in a new tuple
Example:
>>> a=(4,6,7)
>>> print(a*3)
(4, 6, 7, 4, 6, 7, 4, 6, 7)

4. Deleting the tuple

We can not change or delete the tuple elements. But deleting a tuple entirely is possible using the keyword ‘del’
Example:
a=(6,8,2,3)
>>> type(a)
<class 'tuple'>
>>> print(a)
(6, 8, 2, 3)

>>> del a[1] #Error
>>>a.remove(8) #Error
>>> del a # Valid, entire tuple a is deleted


5.  Converting into Tuple:

a=("ravi")# string
print(type(a))
b=str(a)
print(type(b))
c=tuple(b)#converting from string to tuple
print(type(c))
"""
<class 'str'>
<class 'str'>
<class 'tuple'>

"""

Tuple Membership:
We can test if an item exists in a tuple or not, using the keywords :
in, not in

>>> t=('c','a','t')
>>> print('a' in t)
True
>>> print(a in t) #Error
>>> print('t' in t)
True
>>> print('j' not in t)
True
>>> print('a' not in t)
False

#To get the nth element from last of a tuple using positive and -ve index
a=("r","a","j","e","n","d","r","a")
print(type(a))#tuple
#get 4th element of the tuple by index
n=a[3]
print(n)#e
#get 4 :nth element from last by negative index
print(a[-4])#n

Advantages of tuple over list:

Since tuples are similar to lists, both of them are used in similar situations.
We generally use tuple for different data types (Heterogeneous) and list for homogeneous (same data type)

Difference between Lists and Tuples


List
Tuple
        The elements of a list are mutable
elements of a tuple are immutable
        When we need to change the data in future, list would be a right data type.
When we do not want to change the data over time, the tuple is a preferred data type
        When we are iterating (in looping statements) elements, performance is slow
Iterating over the elements of a tuple is faster .
         The elements of list are enclosed in square bracket.
         Ex: a=[10,20,30,40]
Elements of a tuple are enclosed in parenthesis
Ex: a=(10,20,30,40)




Since tuples are immutable, tuple is faster than list so there is a slight performance

Assignments:

(1.) a = (1, 2, 4, 3), which of the following is incorrect?
a) print(a[3])
b) a[3] = 45
c) print(max(a))
d) print(len(a))

Answer: b

(2.) What will be the output?

>>>t=(1,2,4,3)
>>>t[1:-1]
a) (1, 2)
b) (1, 2, 4)
c) (2, 4)
d) (2, 4, 3)


Answer: c

(3.)  What will be the output?

>>>t = (1, 2)
>>>2 * t
a) (1, 2, 1, 2)
b) [1, 2, 1, 2].
c) (1, 1, 2, 2)
d) [1, 1, 2, 2].

Answer: a

Next topicSet data type
Previous topic:  List

Related video Click here to see related videos

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What is Ordered List
What is Immutable?
What is Sequences in Python

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